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#spatiotemporal — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #spatiotemporal, aggregated by home.social.

  1. 💧🌏 Greg Cocks @[email protected] ·

    Cities In Great Britain Most Vulnerable To Extreme Heat Revealed
    (OS index examines which ‘urban heat islands’ suffer the most – and which cope the best with rising temperatures)
    --
    theguardian.com/environment/20 <-- shared media article
    --
    ordnancesurvey.co.uk/news/new- <-- shared technical article, OS Heat Vulnerability Index
    --
    H/T @joe Clarkson | Campaign Manager - Diffusion PR
    “[The H/T] work[ed] … closely with Ordnance Survey (OS) on new research into which of Britain's cities are most vulnerable to retaining extreme heat, and how that vulnerability shifts between now and the turn of the century as record temperatures continue to climb…
    The newly commissioned OS Heat Vulnerability Index scored 71 cities across Britain using #4EI satellite temperature readings, @Met Office climate modelling projections from 2040 to 2100, and Ordnance Survey data on the makeup of natural and made environments in our cities. Put together, it measures how global warming will impact future heat vulnerability, and how urban heat islands form; a process in which hard surfaces absorb solar radiation through the day to keep centres warm overnight, while rural environments cool.
    Anyone who has been unfortunate enough to stand on a Tube platform or walk through central London this summer, or tried to sleep through a heatwave in a flat that hasn't cooled in months already knows what retained heat feels like. But it's more than an uncomfortable feeling. Extreme heat is claiming an increasing number of lives each year, and location-based intelligence like this is essential to support decisions on how we effectively mitigate and protect against climate change to save lives and protect critical infrastructure.
    What this analysis does is put a number on extreme heat, and shows where it's heading. As Britain's climate continues to warm, the capacity of our cities to cool themselves naturally will only matter more…”
    #ClimateChange #Heat #UrbanHeat #Heatwave #Climate #Warming #Infrastructure #London #Portsmouth #Resilience #OrdnanceSurvey #Geospatial #Data #extremeweather #extremeweather #publichealth #publicsafety #deaths #UK #GreatBritain #OS #HeatVulnerabilityIndex #vulnerability #spatialanalysis #mapping #model #modeling #analysis #spatiotemporal #climate #climatemodeling #spatial #mapping #remotesensing #earthobservation #solarradiation #natural #manmade #retainedheat #mitigation #planning #policy #infrastructure #concrete #asphalt #buildings #hardsurfaces #globalwarming #urbanheatislands #cities #urban
    @Ordnance Survey

    #4ei #climatechange #heat #urbanheat #heatwave #climate
  2. 💧🌏 Greg Cocks @GregCocks ·

    Cities In Great Britain Most Vulnerable To Extreme Heat Revealed
    (OS index examines which ‘urban heat islands’ suffer the most – and which cope the best with rising temperatures)
    --
    theguardian.com/environment/20 <-- shared media article
    --
    ordnancesurvey.co.uk/news/new- <-- shared technical article, OS Heat Vulnerability Index
    --
    H/T @joe Clarkson | Campaign Manager - Diffusion PR
    “[The H/T] work[ed] … closely with Ordnance Survey (OS) on new research into which of Britain's cities are most vulnerable to retaining extreme heat, and how that vulnerability shifts between now and the turn of the century as record temperatures continue to climb…
    The newly commissioned OS Heat Vulnerability Index scored 71 cities across Britain using satellite temperature readings, @Met Office climate modelling projections from 2040 to 2100, and Ordnance Survey data on the makeup of natural and made environments in our cities. Put together, it measures how global warming will impact future heat vulnerability, and how urban heat islands form; a process in which hard surfaces absorb solar radiation through the day to keep centres warm overnight, while rural environments cool.
    Anyone who has been unfortunate enough to stand on a Tube platform or walk through central London this summer, or tried to sleep through a heatwave in a flat that hasn't cooled in months already knows what retained heat feels like. But it's more than an uncomfortable feeling. Extreme heat is claiming an increasing number of lives each year, and location-based intelligence like this is essential to support decisions on how we effectively mitigate and protect against climate change to save lives and protect critical infrastructure.
    What this analysis does is put a number on extreme heat, and shows where it's heading. As Britain's climate continues to warm, the capacity of our cities to cool themselves naturally will only matter more…”

    @Ordnance Survey

    #4ei #climatechange #heat #urbanheat #heatwave #climate
  3. 💧🌏 Greg Cocks @GregCocks ·

    Improved Tidal Analysis Datum Calculator [NOAA, USA]
    --
    tidesandcurrents.noaa.gov/news <-- shared technical article
    --
    access.co-ops.nos.noaa.gov/dat <-- shared ‘Tidal Analysis Datum Calculator’ online tool
    --
    tidesandcurrents.noaa.gov/map/ <-- shared Interactive Map to Locate Control Stations
    --
    access.co-ops.nos.noaa.gov/dat <-- shared user guide
    --
    access.co-ops.nos.noaa.gov/dat <-- shared technical report
    --
    tidesandcurrents.noaa.gov/datu <-- shared details of the National Tidal Datum Epoch
    --
    H/T @NOAA National Ocean Service
    “NOAA has upgraded its tidal datum calculation tool with new integrated features! [links above] Did you know you can use this resource to perform your own tidal datum computations and understand local flood frequency?
    The Tidal Datum Analysis Calculator is available now for users to input their data to help make informed decisions on tidal flooding, coastal inundation, and other critical coastal issues.
    With the National Tidal Datum Epoch release rescheduled for 2029, this tool serves as a resource for stakeholders to analyze and understand water level data in their areas of interest by calculating preliminary datums relative to the new epoch…”

    @NOAA @NOAA National Ocean Service

    #tidal #datum #calculation #tool #noaa #tidalanalysisdatumcalculator
  4. 💧🌏 Greg Cocks @[email protected] ·

    Improved Tidal Analysis Datum Calculator [NOAA, USA]
    --
    tidesandcurrents.noaa.gov/news <-- shared technical article
    --
    access.co-ops.nos.noaa.gov/dat <-- shared ‘Tidal Analysis Datum Calculator’ online tool
    --
    tidesandcurrents.noaa.gov/map/ <-- shared Interactive Map to Locate Control Stations
    --
    access.co-ops.nos.noaa.gov/dat <-- shared user guide
    --
    access.co-ops.nos.noaa.gov/dat <-- shared technical report
    --
    tidesandcurrents.noaa.gov/datu <-- shared details of the National Tidal Datum Epoch
    --
    H/T @NOAA National Ocean Service
    “NOAA has upgraded its tidal datum calculation tool with new integrated features! [links above] Did you know you can use this resource to perform your own tidal datum computations and understand local flood frequency?
    The Tidal Datum Analysis Calculator is available now for users to input their data to help make informed decisions on tidal flooding, coastal inundation, and other critical coastal issues.
    With the National Tidal Datum Epoch release rescheduled for 2029, this tool serves as a resource for stakeholders to analyze and understand water level data in their areas of interest by calculating preliminary datums relative to the new epoch…”
    #tidal #datum #calculation #tool #NOAA #TidalAnalysisDatumCalculator #TADC #fedscience #fedservice #opendata #usecase #flood #flooding #coast #coastal #inundation #NationalTidalDatumEpoch #waterlevel #spatialanalysis #mapping #spatial #spatiotemporal #vertical #USA #MSL #MHW #MLW
    @NOAA @NOAA National Ocean Service

    #tidal #datum #calculation #tool #noaa #tidalanalysisdatumcalculator
  5. 💧🌏 Greg Cocks @GregCocks ·

    Detection And Mapping Of Daya Features In The Limestone Plateau Of Northwest Egypt
    --
    doi.org/10.1177/03091333261480 <-- shared paper
    --
    doi.org/10.1007/s41207-024-004 <-- shared paper
    --
    H/T @wael Galal | Geologist at Geology Department, Assiut University
    “[The author’s] study systematically investigates ‘DAYAS’ shallow, ephemeral wetlands scattered across the limestone plateau of Northwest Egypt. Previously undocumented in Egyptian territory, these saucer-shaped depressions play a vital role in regional hydrology and karst evolution.
    Through an integrated approach combining Sentinel-2 satellite imagery, multi-decadal Landsat time-series analysis (1984-2025), ALOS PALSAR DEMs, and extensive field validation, [they] identified and mapped 5,430 daya features covering 258.1 km² achieving 91% classification accuracy.
    [Their] research established a typological framework distinguishing bowl-shaped, small flat-bottom, and large flat-bottom dayas representing a continuum from active karst dissolution to relict, sediment-sealed systems. Critically, [they] documented a 32.63% net increase in daya surface area over 41 years, demonstrating that karst modification remains an active geomorphic process even under present-day hyper-arid conditions.
    This work provides government agencies and water resource planners with the first high-resolution spatial inventory of these features essential baseline data for sustainable groundwater management, water-harvesting infrastructure, and conservation prioritisation in this water-scarce region…”

    #research #karstgeomorphology #remotesensing #gis #spatial #mapping
  6. 💧🌏 Greg Cocks @[email protected] ·

    Detection And Mapping Of Daya Features In The Limestone Plateau Of Northwest Egypt
    --
    doi.org/10.1177/03091333261480 <-- shared paper
    --
    doi.org/10.1007/s41207-024-004 <-- shared paper
    --
    H/T @wael Galal | Geologist at Geology Department, Assiut University
    “[The author’s] study systematically investigates ‘DAYAS’ shallow, ephemeral wetlands scattered across the limestone plateau of Northwest Egypt. Previously undocumented in Egyptian territory, these saucer-shaped depressions play a vital role in regional hydrology and karst evolution.
    Through an integrated approach combining Sentinel-2 satellite imagery, multi-decadal Landsat time-series analysis (1984-2025), ALOS PALSAR DEMs, and extensive field validation, [they] identified and mapped 5,430 daya features covering 258.1 km² achieving 91% classification accuracy.
    [Their] research established a typological framework distinguishing bowl-shaped, small flat-bottom, and large flat-bottom dayas representing a continuum from active karst dissolution to relict, sediment-sealed systems. Critically, [they] documented a 32.63% net increase in daya surface area over 41 years, demonstrating that karst modification remains an active geomorphic process even under present-day hyper-arid conditions.
    This work provides government agencies and water resource planners with the first high-resolution spatial inventory of these features essential baseline data for sustainable groundwater management, water-harvesting infrastructure, and conservation prioritisation in this water-scarce region…”
    #Research #KarstGeomorphology #RemoteSensing #GIS #spatial #mapping #spatialanalysis #spatiotemporal #WaterResources #Egypt #Dayas #Sustainability #PhysicalGeography #water #hydrology #hydrography #wetland #daya #geology #limestone #karst #sentinel #Landsat #hydrogeomorphology #geomorphology #geomorphometry #arid #hyperarid #planning #policy #sustainable #groundwater #conservation

    #research #karstgeomorphology #remotesensing #gis #spatial #mapping
  7. 💧🌏 Greg Cocks @[email protected] ·

    The Radiative Effects Of Water Vapour From Terrestrial Evapotranspiration
    --
    doi.org/10.1088/1748-9326/adde <-- shared paper/letter
    --
    zenodo.org/records/15413219 | zenodo.org/records/15416936 <-- shared open data, for “Model information and output for "The radiative effects…” ”
    --
    doi.org/10.1007/s11269-025-041 <-- shared paper
    --
    H/T @jan Umsonst | Earth System Nerd
    “Water vapour accounts for roughly 50% of the modern greenhouse effect. Over continental regions, evapotranspiration (ET) is often limited by water availability. In this study, [the authors] spatially quantify how much of the total atmospheric water vapour evaporated most recently from land and calculate the relative contribution of that water vapour to the atmospheric radiative budget. Using a combination of tracer-enabled Earth system model simulations and radiative transfer calculations, [they were] able to explicitly quantify the 3D distribution of terrestrial vs. oceanic water vapour, and the spatial contribution of each to the surface and top of atmosphere radiative budgets. [They found] that over many continental regions, more than half of the total column-integrated water vapour originates from land ET, and that this vapour contributes up to 30 W/m² of longwave radiation into the surface in the annual mean (about 10% of the total). Understanding how terrestrial ET impacts the base-state of water vapour distribution and the water vapour greenhouse effect is critical to understanding how and where changes in terrestrial ET, driven by climate change, land use, etc, will modify the radiative properties of the atmosphere and thus the climate system…”
    #water #hydrology #greehouseeffect #highperformancecomputing #HPC #evapotranspiration #Radiative #WaterVapour #spatial #spatialanalysis #spatiotemporal #atmosphere #model #modeling #earthsystemmodelling #terrestrial #oceanic #vapour #climatechange #landuse #changes #climatesystem

    #water #hydrology #greehouseeffect #highperformancecomputing #hpc #evapotranspiration
  8. 💧🌏 Greg Cocks @[email protected] ·

    Mapping Flood Agents In The Northern Pantanal Wetland Using Multiple Spatio-Temporal GIS And Remote Sensing Techniques
    --
    doi.org/10.1007/s13157-026-020 <-- shared paper
    --
    H/T @renato Gatto de Morais | Geógrafo | Mestre em Recursos Hídricos | Doutorando em Geografia
    “Combining MODIS data, TRMM, river discharge, a digital terrain model, and multinomial logistic regression, [the authors] identified three predominant classes of flood origin: local rainfall, bank overflow, and mixed areas. The model achieved a Nagelkerke Pseudo-R² of 0.63 and a classification accuracy of up to 81.2% (10-fold cross-validation). To the best of [their] knowledge, this is the first explicit approach to mapping flood agents for this wetland, a component that has historically remained unmapped despite its recognized influence on habitats and biodiversity…”
    --
    “The mapping of functional hydrologic units is crucial for enhancing our understanding of flooding and hydroecological processes in large wetlands. These units are typically defined by flooding frequency, duration, and magnitude, but another important hydrologic characteristic is the origin of flooding, known as the flood agent. This study presents an empirical framework utilizing remote sensing and GIS procedures for modeling flood agents in the northern Pantanal wetland. Eleven spatial data layers were derived from multi-year MODIS flood maps, daily rainfall estimates from the TRMM 3B42 grid, in situ discharge data, the BEST Digital Terrain Model, and a hydrographic network layer. These layers were tested for their predictive power in a multinomial logistic regression mapping model. Model performance metrics, along with qualitative validation of mapping outcomes using in situ flooding measurements, and vegetation and soil data from field test sites, support the plausibility of the proposed mapping scheme. However, they also highlight the challenges of flood agent mapping in large tropical wetlands…”
    #GIS #spatial #mapping #MODIS #TRMM #riverdischarge #digitalterrainmodel #multinomiallogisticregression #geostatistics #Pantanal #Cuiaba #Brazil #water #hydrology #spatialanalysis #spatiotemporal #remotesensing #earthobservation #flood #flooding #source #type #floodagent #tropical #wetland #habitat #biodiversity #ecosystem #hydrologicunit #hydroecology #model #modeling #rainfall #precipitation #weather #climate #discharge #network #metrics

    #gis #spatial #mapping #modis #trmm #riverdischarge
  9. 💧🌏 Greg Cocks @[email protected] ·

    Mapping Flood Agents In The Northern Pantanal Wetland Using Multiple Spatio-Temporal GIS And Remote Sensing Techniques
    --
    doi.org/10.1007/s13157-026-020 <-- shared paper
    --
    H/T @renato Gatto de Morais | Geógrafo | Mestre em Recursos Hídricos | Doutorando em Geografia
    “Combining MODIS data, TRMM, river discharge, a digital terrain model, and multinomial logistic regression, [the authors] identified three predominant classes of flood origin: local rainfall, bank overflow, and mixed areas. The model achieved a Nagelkerke Pseudo-R² of 0.63 and a classification accuracy of up to 81.2% (10-fold cross-validation). To the best of [their] knowledge, this is the first explicit approach to mapping flood agents for this wetland, a component that has historically remained unmapped despite its recognized influence on habitats and biodiversity…”
    --
    “The mapping of functional hydrologic units is crucial for enhancing our understanding of flooding and hydroecological processes in large wetlands. These units are typically defined by flooding frequency, duration, and magnitude, but another important hydrologic characteristic is the origin of flooding, known as the flood agent. This study presents an empirical framework utilizing remote sensing and GIS procedures for modeling flood agents in the northern Pantanal wetland. Eleven spatial data layers were derived from multi-year MODIS flood maps, daily rainfall estimates from the TRMM 3B42 grid, in situ discharge data, the BEST Digital Terrain Model, and a hydrographic network layer. These layers were tested for their predictive power in a multinomial logistic regression mapping model. Model performance metrics, along with qualitative validation of mapping outcomes using in situ flooding measurements, and vegetation and soil data from field test sites, support the plausibility of the proposed mapping scheme. However, they also highlight the challenges of flood agent mapping in large tropical wetlands…”
    #GIS #spatial #mapping #MODIS #TRMM #riverdischarge #digitalterrainmodel #multinomiallogisticregression #geostatistics #Pantanal #Cuiaba #Brazil #water #hydrology #spatialanalysis #spatiotemporal #remotesensing #earthobservation #flood #flooding #source #type #floodagent #tropical #wetland #habitat #biodiversity #ecosystem #hydrologicunit #hydroecology #model #modeling #rainfall #precipitation #weather #climate #discharge #network #metrics

    #gis #spatial #mapping #modis #trmm #riverdischarge
  10. 💧🌏 Greg Cocks @[email protected] ·

    Mapping Flood Agents In The Northern Pantanal Wetland Using Multiple Spatio-Temporal GIS And Remote Sensing Techniques
    --
    doi.org/10.1007/s13157-026-020 <-- shared paper
    --
    H/T @renato Gatto de Morais | Geógrafo | Mestre em Recursos Hídricos | Doutorando em Geografia
    “Combining MODIS data, TRMM, river discharge, a digital terrain model, and multinomial logistic regression, [the authors] identified three predominant classes of flood origin: local rainfall, bank overflow, and mixed areas. The model achieved a Nagelkerke Pseudo-R² of 0.63 and a classification accuracy of up to 81.2% (10-fold cross-validation). To the best of [their] knowledge, this is the first explicit approach to mapping flood agents for this wetland, a component that has historically remained unmapped despite its recognized influence on habitats and biodiversity…”
    --
    “The mapping of functional hydrologic units is crucial for enhancing our understanding of flooding and hydroecological processes in large wetlands. These units are typically defined by flooding frequency, duration, and magnitude, but another important hydrologic characteristic is the origin of flooding, known as the flood agent. This study presents an empirical framework utilizing remote sensing and GIS procedures for modeling flood agents in the northern Pantanal wetland. Eleven spatial data layers were derived from multi-year MODIS flood maps, daily rainfall estimates from the TRMM 3B42 grid, in situ discharge data, the BEST Digital Terrain Model, and a hydrographic network layer. These layers were tested for their predictive power in a multinomial logistic regression mapping model. Model performance metrics, along with qualitative validation of mapping outcomes using in situ flooding measurements, and vegetation and soil data from field test sites, support the plausibility of the proposed mapping scheme. However, they also highlight the challenges of flood agent mapping in large tropical wetlands…”
    #GIS #spatial #mapping #MODIS #TRMM #riverdischarge #digitalterrainmodel #multinomiallogisticregression #geostatistics #Pantanal #Cuiaba #Brazil #water #hydrology #spatialanalysis #spatiotemporal #remotesensing #earthobservation #flood #flooding #source #type #floodagent #tropical #wetland #habitat #biodiversity #ecosystem #hydrologicunit #hydroecology #model #modeling #rainfall #precipitation #weather #climate #discharge #network #metrics

    #gis #spatial #mapping #modis #trmm #riverdischarge
  11. 💧🌏 Greg Cocks @[email protected] ·

    Mapping Flood Agents In The Northern Pantanal Wetland Using Multiple Spatio-Temporal GIS And Remote Sensing Techniques
    --
    doi.org/10.1007/s13157-026-020 <-- shared paper
    --
    H/T @renato Gatto de Morais | Geógrafo | Mestre em Recursos Hídricos | Doutorando em Geografia
    “Combining MODIS data, TRMM, river discharge, a digital terrain model, and multinomial logistic regression, [the authors] identified three predominant classes of flood origin: local rainfall, bank overflow, and mixed areas. The model achieved a Nagelkerke Pseudo-R² of 0.63 and a classification accuracy of up to 81.2% (10-fold cross-validation). To the best of [their] knowledge, this is the first explicit approach to mapping flood agents for this wetland, a component that has historically remained unmapped despite its recognized influence on habitats and biodiversity…”
    --
    “The mapping of functional hydrologic units is crucial for enhancing our understanding of flooding and hydroecological processes in large wetlands. These units are typically defined by flooding frequency, duration, and magnitude, but another important hydrologic characteristic is the origin of flooding, known as the flood agent. This study presents an empirical framework utilizing remote sensing and GIS procedures for modeling flood agents in the northern Pantanal wetland. Eleven spatial data layers were derived from multi-year MODIS flood maps, daily rainfall estimates from the TRMM 3B42 grid, in situ discharge data, the BEST Digital Terrain Model, and a hydrographic network layer. These layers were tested for their predictive power in a multinomial logistic regression mapping model. Model performance metrics, along with qualitative validation of mapping outcomes using in situ flooding measurements, and vegetation and soil data from field test sites, support the plausibility of the proposed mapping scheme. However, they also highlight the challenges of flood agent mapping in large tropical wetlands…”
    #GIS #spatial #mapping #MODIS #TRMM #riverdischarge #digitalterrainmodel #multinomiallogisticregression #geostatistics #Pantanal #Cuiaba #Brazil #water #hydrology #spatialanalysis #spatiotemporal #remotesensing #earthobservation #flood #flooding #source #type #floodagent #tropical #wetland #habitat #biodiversity #ecosystem #hydrologicunit #hydroecology #model #modeling #rainfall #precipitation #weather #climate #discharge #network #metrics

    #metrics #network #discharge #climate #weather #precipitation
  12. 💧🌏 Greg Cocks @GregCocks ·

    Mapping Flood Agents In The Northern Pantanal Wetland Using Multiple Spatio-Temporal GIS And Remote Sensing Techniques
    --
    doi.org/10.1007/s13157-026-020 <-- shared paper
    --
    H/T @renato Gatto de Morais | Geógrafo | Mestre em Recursos Hídricos | Doutorando em Geografia
    “Combining MODIS data, TRMM, river discharge, a digital terrain model, and multinomial logistic regression, [the authors] identified three predominant classes of flood origin: local rainfall, bank overflow, and mixed areas. The model achieved a Nagelkerke Pseudo-R² of 0.63 and a classification accuracy of up to 81.2% (10-fold cross-validation). To the best of [their] knowledge, this is the first explicit approach to mapping flood agents for this wetland, a component that has historically remained unmapped despite its recognized influence on habitats and biodiversity…”
    --
    “The mapping of functional hydrologic units is crucial for enhancing our understanding of flooding and hydroecological processes in large wetlands. These units are typically defined by flooding frequency, duration, and magnitude, but another important hydrologic characteristic is the origin of flooding, known as the flood agent. This study presents an empirical framework utilizing remote sensing and GIS procedures for modeling flood agents in the northern Pantanal wetland. Eleven spatial data layers were derived from multi-year MODIS flood maps, daily rainfall estimates from the TRMM 3B42 grid, in situ discharge data, the BEST Digital Terrain Model, and a hydrographic network layer. These layers were tested for their predictive power in a multinomial logistic regression mapping model. Model performance metrics, along with qualitative validation of mapping outcomes using in situ flooding measurements, and vegetation and soil data from field test sites, support the plausibility of the proposed mapping scheme. However, they also highlight the challenges of flood agent mapping in large tropical wetlands…”

    #gis #spatial #mapping #modis #trmm #riverdischarge
  13. 💧🌏 Greg Cocks @[email protected] ·

    Historic Snowfall Map Shows States Bracing For Significant Snow Amid El Niño [North America]
    --
    mensjournal.com/news/historic- <-- shared technical media article
    --
    cpc.ncep.noaa.gov/products/ana <-- shared link to NOAA release ‘El Niño/Southern Oscillation (Enso) Diagnostic Discussion - issued By Climate Prediction Center/NCEP/NWS | 13 August 2026’
    --
    cnn.com/2026/08/20/weather/sup <-- shared media article
    --
    H/T @Mens Journal
    “The National Oceanic and Atmospheric Association [NOAA] updated its prediction for the El Niño, which is strengthening and now has a greater than 90% chance of a very strong event during the Northern Hemisphere fall and winter 2026-27…
    Additionally, the NOAA revealed that during the October-December 2026 season, there is now a 69% chance of a historic event that would exceed the strength of previous El Niño events dating back to 1950. Historical records from the NOAA only date back to 1950, but other reports suggest this could be one of the strongest El Niños in history.
    This El Niño “is something that’s very unusual, if not a once in a lifetime type of (strength),” according to Nat Johnson, a meteorologist with the Geophysical Fluid Dynamics Laboratory at the National Oceanic and Atmospheric Administration.
    El Niño is a natural climate cycle marked by warmer than average water temperatures along the equator in the Pacific Ocean. The warmer water triggers corresponding shifts in the atmosphere that have a domino-like influence on weather patterns around the globe – usually in ways that are largely predictable well in advance…”
    #weather #climate #USA #forecast #fedscience #fedservice #NOAA #ElNiño #ElNino #snow #snowfall #climatecycle #water #hydrology #rainfall #precipitation #NorthAmerica #atmosphere #weatherpatterns #model #modeling #spatialanalysis #spatiotemporal #spatial #mapping #NorthernHemisphere #global
    @NOAA | @nws

    #weather #climate #usa #forecast #fedscience #fedservice
  14. 💧🌏 Greg Cocks @[email protected] ·

    Historic Snowfall Map Shows States Bracing For Significant Snow Amid El Niño [North America]
    --
    mensjournal.com/news/historic- <-- shared technical media article
    --
    cpc.ncep.noaa.gov/products/ana <-- shared link to NOAA release ‘El Niño/Southern Oscillation (Enso) Diagnostic Discussion - issued By Climate Prediction Center/NCEP/NWS | 13 August 2026’
    --
    cnn.com/2026/08/20/weather/sup <-- shared media article
    --
    H/T @Mens Journal
    “The National Oceanic and Atmospheric Association [NOAA] updated its prediction for the El Niño, which is strengthening and now has a greater than 90% chance of a very strong event during the Northern Hemisphere fall and winter 2026-27…
    Additionally, the NOAA revealed that during the October-December 2026 season, there is now a 69% chance of a historic event that would exceed the strength of previous El Niño events dating back to 1950. Historical records from the NOAA only date back to 1950, but other reports suggest this could be one of the strongest El Niños in history.
    This El Niño “is something that’s very unusual, if not a once in a lifetime type of (strength),” according to Nat Johnson, a meteorologist with the Geophysical Fluid Dynamics Laboratory at the National Oceanic and Atmospheric Administration.
    El Niño is a natural climate cycle marked by warmer than average water temperatures along the equator in the Pacific Ocean. The warmer water triggers corresponding shifts in the atmosphere that have a domino-like influence on weather patterns around the globe – usually in ways that are largely predictable well in advance…”
    #weather #climate #USA #forecast #fedscience #fedservice #NOAA #ElNiño #ElNino #snow #snowfall #climatecycle #water #hydrology #rainfall #precipitation #NorthAmerica #atmosphere #weatherpatterns #model #modeling #spatialanalysis #spatiotemporal #spatial #mapping #NorthernHemisphere #global
    @NOAA | @nws

    #weather #climate #usa #forecast #fedscience #fedservice
  15. 💧🌏 Greg Cocks @[email protected] ·

    Historic Snowfall Map Shows States Bracing For Significant Snow Amid El Niño [North America]
    --
    mensjournal.com/news/historic- <-- shared technical media article
    --
    cpc.ncep.noaa.gov/products/ana <-- shared link to NOAA release ‘El Niño/Southern Oscillation (Enso) Diagnostic Discussion - issued By Climate Prediction Center/NCEP/NWS | 13 August 2026’
    --
    cnn.com/2026/08/20/weather/sup <-- shared media article
    --
    H/T @Mens Journal
    “The National Oceanic and Atmospheric Association [NOAA] updated its prediction for the El Niño, which is strengthening and now has a greater than 90% chance of a very strong event during the Northern Hemisphere fall and winter 2026-27…
    Additionally, the NOAA revealed that during the October-December 2026 season, there is now a 69% chance of a historic event that would exceed the strength of previous El Niño events dating back to 1950. Historical records from the NOAA only date back to 1950, but other reports suggest this could be one of the strongest El Niños in history.
    This El Niño “is something that’s very unusual, if not a once in a lifetime type of (strength),” according to Nat Johnson, a meteorologist with the Geophysical Fluid Dynamics Laboratory at the National Oceanic and Atmospheric Administration.
    El Niño is a natural climate cycle marked by warmer than average water temperatures along the equator in the Pacific Ocean. The warmer water triggers corresponding shifts in the atmosphere that have a domino-like influence on weather patterns around the globe – usually in ways that are largely predictable well in advance…”
    #weather #climate #USA #forecast #fedscience #fedservice #NOAA #ElNiño #ElNino #snow #snowfall #climatecycle #water #hydrology #rainfall #precipitation #NorthAmerica #atmosphere #weatherpatterns #model #modeling #spatialanalysis #spatiotemporal #spatial #mapping #NorthernHemisphere #global
    @NOAA | @nws

    #weather #climate #usa #forecast #fedscience #fedservice
  16. 💧🌏 Greg Cocks @[email protected] ·

    Historic Snowfall Map Shows States Bracing For Significant Snow Amid El Niño [North America]
    --
    mensjournal.com/news/historic- <-- shared technical media article
    --
    cpc.ncep.noaa.gov/products/ana <-- shared link to NOAA release ‘El Niño/Southern Oscillation (Enso) Diagnostic Discussion - issued By Climate Prediction Center/NCEP/NWS | 13 August 2026’
    --
    cnn.com/2026/08/20/weather/sup <-- shared media article
    --
    H/T @Mens Journal
    “The National Oceanic and Atmospheric Association [NOAA] updated its prediction for the El Niño, which is strengthening and now has a greater than 90% chance of a very strong event during the Northern Hemisphere fall and winter 2026-27…
    Additionally, the NOAA revealed that during the October-December 2026 season, there is now a 69% chance of a historic event that would exceed the strength of previous El Niño events dating back to 1950. Historical records from the NOAA only date back to 1950, but other reports suggest this could be one of the strongest El Niños in history.
    This El Niño “is something that’s very unusual, if not a once in a lifetime type of (strength),” according to Nat Johnson, a meteorologist with the Geophysical Fluid Dynamics Laboratory at the National Oceanic and Atmospheric Administration.
    El Niño is a natural climate cycle marked by warmer than average water temperatures along the equator in the Pacific Ocean. The warmer water triggers corresponding shifts in the atmosphere that have a domino-like influence on weather patterns around the globe – usually in ways that are largely predictable well in advance…”
    #weather #climate #USA #forecast #fedscience #fedservice #NOAA #ElNiño #ElNino #snow #snowfall #climatecycle #water #hydrology #rainfall #precipitation #NorthAmerica #atmosphere #weatherpatterns #model #modeling #spatialanalysis #spatiotemporal #spatial #mapping #NorthernHemisphere #global
    @NOAA | @nws

    #global #northernhemisphere #mapping #spatial #spatiotemporal #spatialanalysis
  17. 💧🌏 Greg Cocks @GregCocks ·

    Historic Snowfall Map Shows States Bracing For Significant Snow Amid El Niño [North America]
    --
    mensjournal.com/news/historic- <-- shared technical media article
    --
    cpc.ncep.noaa.gov/products/ana <-- shared link to NOAA release ‘El Niño/Southern Oscillation (Enso) Diagnostic Discussion - issued By Climate Prediction Center/NCEP/NWS | 13 August 2026’
    --
    cnn.com/2026/08/20/weather/sup <-- shared media article
    --
    H/T @Mens Journal
    “The National Oceanic and Atmospheric Association [NOAA] updated its prediction for the El Niño, which is strengthening and now has a greater than 90% chance of a very strong event during the Northern Hemisphere fall and winter 2026-27…
    Additionally, the NOAA revealed that during the October-December 2026 season, there is now a 69% chance of a historic event that would exceed the strength of previous El Niño events dating back to 1950. Historical records from the NOAA only date back to 1950, but other reports suggest this could be one of the strongest El Niños in history.
    This El Niño “is something that’s very unusual, if not a once in a lifetime type of (strength),” according to Nat Johnson, a meteorologist with the Geophysical Fluid Dynamics Laboratory at the National Oceanic and Atmospheric Administration.
    El Niño is a natural climate cycle marked by warmer than average water temperatures along the equator in the Pacific Ocean. The warmer water triggers corresponding shifts in the atmosphere that have a domino-like influence on weather patterns around the globe – usually in ways that are largely predictable well in advance…”

    @NOAA | @nws

    #weather #climate #usa #forecast #fedscience #fedservice
  18. 💧🌏 Greg Cocks @[email protected] ·

    WeatherNext – [An] AI Model Achieves Breakthrough In Forecasting Cyclones
    --
    deepmind.google/blog/weatherne <-- shared technical Google DeepMind blog post
    --
    doi.org/10.1038/s41586-026-109 <-- shared paper
    --
    deepmind.google/science/weathe <-- shared data
    --
    github.com/google-deepmind/wea <-- shared GitHub repository
    --
    H/T @juliet Rothenberg | Product Director of Earth & Resilience AI at Google
    [this post should not be considered an endorsement of a particular organisation or their approach]
    “[The Google WeatherNext AI team] are showing how the WeatherNext AI model from Google DeepMind and Google Research has achieved state-of-the-art accuracy in predicting a cyclone's track, intensity, and wind structure. On average, the WeatherNext Cyclones model gives forecasters an extra day’s worth of predictive accuracy- delivering an advance equivalent to roughly a decade of historical meteorological progress 🌀
    Here is how WeatherNext is transforming cyclone forecasting:
    • Gaining an Extra Day of Advanced Warning: WN 3-day forecasts are as good as what prior models were able to provide for 2-day forecasts, giving critical time for emergency response.
    • Overcoming Traditional Trade-offs: WN bridges the gap between massive global atmospheric currents (which steer a cyclone's path) and fine-grained thermodynamic processes around its core (which drive its intensity) into a single AI model.
    • Unprecedented Ensemble Scale: Using Functional Generative Networks (FGNs), WN now generates 1,000-member ensembles in less than a minute on a TPU to capture rare, consequential tail-risks like sudden rapid intensification – which means forecasters can see a broader range of possible scenarios.
    • Real-World Impact: During the 2025 Atlantic hurricane season, the WN model helped the National Hurricane Center (NHC) make a historic forecast for Hurricane Melissa by predicting rapid intensification and landfall five days in advance.
    [The] teams are open sourcing the operationalized models (WeatherNext Cyclones and WeatherNext 2), alongside a compact version (WeatherNext 2-mini) that can run on a single TPU in a free public Colab notebook – all with a goal of empowering local organizations worldwide.
    Weather affects everyone. By combining advanced AI with the real-world expertise of human forecasters, we can build a collaborative ecosystem that saves lives and helps communities adapt to a changing climate…”
    #Google #DeepMind #GoogleResearch #AI #ensembles #FunctionalGenerativeNetworks #WeatherNext #cyclone #operationalised #model #modeling #forecasting #spatialanalyis #spatiotemporal #track #intensity #windstructure #hurricane #weather #climate #metrology #cyclonetrack #risk #hazard #emergencyresponse #planning #tool #earlywarning #scale #magnitude #path #track #thermodynamic #scenarios #opensource #impacts #tropicalcyclones #WeatherNextCyclones #weathermodel #atmospheric #predictions #mitigation #warning #robust #publicsafety #infrastructure
    @Google | @WeatherNext

    #google #deepmind #googleresearch #ai #ensembles #functionalgenerativenetworks
  19. 💧🌏 Greg Cocks @[email protected] ·

    Spatiotemporal Distribution, Climatic Factors, And Seasonal Precipitation Patterns Characterizing 66 Years Of Widespread Shallow Landslide Events In Piedmont (Northwestern Italy)
    --
    doi.org/10.3389/feart.2026.188 <-- shared paper
    --
    “Widespread shallow landslide events constitute one of the primary drivers of recurrent societal and economic losses in mountain regions. Although the influence of climate variability on landslide frequency and magnitude has been widely recognized, long-term, event-level analyses linking spatiotemporal landslide patterns to precipitation climatology at the regional scale remain scarce. This study presents a statistical analysis of 128 widespread shallow landslide events recorded in Piedmont, northwestern Italy, over the 66-year period 1960–2025, cross-referenced against the regional precipitation climatology. Events were characterized by season, primary physiographic unit, provincial coverage, and an ordinal magnitude index (scale 1–7) encoding combined spatial extent and estimated landslide count. Results indicate that no statistically significant monotonic trend in event frequency was detected over the study period (mean rate: 1.97 events yr⁻1); however, a moderate positive correlation was established between event magnitude and the number of provinces affected (R2 = 0.51, p < 0.00), validating the magnitude index as a proxy for spatial footprint. Mean event magnitude reached its highest value in the 2010s (3.71), while all five events of magnitude ≥ 6 occurred in autumn. The summer fraction of the catalogue increased markedly, from 6% in the 1960s to 31% in the 2000s and 25% in the 2020s, concurrent with stable or declining summer mean precipitation totals, consistent with Clausius–Clapeyron amplification of convective intensity under documented regional warming. Cross-analysis with regional records identifies three tiers of rainfall–landslide coupling: a stationary direct seasonal coupling; a non-stationary, strengthening intensity-mediated summer coupling; and a structural susceptibility-mediated spatial decoupling whereby the driest provinces generate the highest landslide occurrence frequencies due to the lower triggering thresholds characteristic of Tertiary Piedmont Basin sedimentary environments. A post-hoc assessment of the triggering thresholds used for regional shallow landslide early warning system demonstrates superior detection performance for high-magnitude autumn events (hit rate up to 89% for the 2000–2025 sub-period) and identifies sub-daily convective accumulation windows in summer as the primary domain requiring threshold recalibration…”
    #massmovement #landslide #engineeringgeology #Italy #Piedmont #NorthernItaly #weather #rainfall #precipitation #climate #risk #hazard #corrleation #relationship #earlywarningsystems #damage #loss #community #infrastructure #mountain #spatiotemporal #mapping #spatialanalysis #statistics #geostatistics #climatology #regional #scale #weatherpatterns #physiography #geomorphology #water #hydrology #hydrogeomorphology #geology #soils

    #massmovement #landslide #engineeringgeology #italy #piedmont #northernitaly
  20. 💧🌏 Greg Cocks @[email protected] ·

    Impact Of Urbanization Driven Land Use And Land Cover Change On Ecological Environmental Quality In Rupandehi Nepal Assessed Using The Remote Sensing Ecological Index
    --
    doi.org/10.1007/s44288-026-006 <-- shared paper
    --
    kathmandupost.com/money/2026/0 <-- shared media article
    --
    H/T@ Gaurav Parajulim
    “[The authors] studied how the ecological quality of Nepal's Rupandehi District has changed over three decades (1993–2023), using satellite imagery and the Remote Sensing Ecological Index (RSEI) to track the health of the landscape year by year and to understand how urbanization-driven land use change has reshaped it.
    What [they] found tells a nuanced story: as Butwal and Bhairahawa grew and built-up land expanded, ecological quality shifted in ways that a single number can't capture, some areas recovered, others declined, and the patterns rarely moved in a straight line…”
    --
    “Rapid urbanization and population growth are major drivers of land use and land cover (LULC) change and can substantially alter ecological environmental quality (EEQ). This study assessed the spatiotemporal dynamics of LULC and their effect on EEQ in Rupandehi District, Nepal, over a 30-year period (1993–2023). Four ecological indicators representing greenness, wetness, dryness, and heat were derived from Landsat imagery in Google Earth Engine (GEE), and LULC was classified using a Support Vector Machine (SVM). The Remote Sensing Ecological Index (RSEI) was then constructed from these indicators using Principal Component Analysis (PCA) in ArcGIS Pro, and its spatial structure was examined using global and local spatial autocorrelation. The mean RSEI followed a non-linear trajectory, rising from 0.59 in 1993 to 0.635 in 2004, declining to 0.55 in 2013, and recovering to 0.67 in 2023, indicating an overall improvement in EEQ with a temporary mid-period decline. Over the same period, built-up areas expanded substantially and agricultural land declined, whereas forest cover fluctuated but showed a slight net increase by 2023, and barren land decreased markedly. Higher EEQ was concentrated in the forested northern hills, while lower values occurred in the urban centers of Butwal and Bhairahawa, closely matching the spatial pattern of LULC change. The results indicate that ecological quality reflects the combined influence of all land cover classes rather than any single class. This study provides a transferable and reproducible workflow for long-term ecological assessment based on openly available Landsat data, with the analysis code shared in a public repository, offering practical guidance for sustainable land management and environmentally responsible urban development...”
    #GIS #spatial #mapping #RemoteSensing #GIS #RSEI #EnvironmentalMonitoring #Nepal #Research #GoogleEarthEngine #ArcGIS #EcologicalQuality #spatialautocorrelation #ecology #environment #earthobservation #RemoteSensingEcologicalIndex #landscape #urbanisation #urban #development #landuse #change #spatialanalysis #spatiotemporal

    #gis #spatial #mapping #remotesensing #rsei #environmentalmonitoring
  21. 💧🌏 Greg Cocks @[email protected] ·

    Coastal Flooding At Predictable Hours
    --
    doi.org/10.1038/s41467-026-757 <-- shared paper
    --
    H/T @bruna Alves | Nature Communications | Editor
    “When do coastal floods happen? ⏱️🌊
    A new study [link above] shows that, in many tide-dominated coastal regions, flooding tends to occur at specific and recurring times of day. Rather than being completely random, flood events often cluster around predictable hours driven by local tidal patterns.
    By analysing coastal flood observations from the UK and the US, [the authors] show[ed] that the timing of flood events can be highly structured, with some locations experiencing floods disproportionately during certain parts of the day.
    This adds a temporal dimension to coastal flood risk. We often focus on how frequently floods occur, how severe they are, and where they happen. This study highlights that when they occur may also matter, particularly as rising sea levels increase the frequency of coastal flooding.
    The findings provide a useful perspective for coastal adaptation, risk communication, and emergency planning…”
    --
    “Flooding is typically perceived as a sudden and unpredictable hazard. Here, [they] show that recurrent flooding can occur at highly predictable times in tidally dominated coastal systems. This predictability stems from phase-locking of tidal constituents and constituent pairs with the solar day, causing peak tides to recur at consistent local times set by regional tidal propagation. Using tide-gauge records from the United States and the United Kingdom, [they] quantif[ied] the intraday timing of coastal flood events and show strong clustering at specific hours, particularly where semidiurnal or mixed tides dominate. For example, floods in Boston cluster around noon and midnight, whereas in southern California they occur in the morning. Sites with stronger non-tidal variability show weaker clustering. This temporal predictability extends beyond nuisance flooding to larger consequential events involving inundation, road closures and infrastructural damage, highlighting opportunities for anticipatory risk communication, emergency planning and time-sensitive coastal adaptation…”
    #coast #coastal #flood #flooding #spatialanalysis #spatiotemporal #time #statistics #geostatistics #tide #tidal #timing #temporal #floodrisk #risk #hazard #sealevel #sealevelrise #climatechange #emergency #planning #tideguage #UK #USA #innundation #infrastructure #transportation #riskcommunication

    #coast #coastal #flood #flooding #spatialanalysis #spatiotemporal
  22. 💧🌏 Greg Cocks @[email protected] ·

    [Open] Data Related To Flood Mapping [Canada]
    --
    natural-resources.canada.ca/sc <-- shared link to technical details
    --
    app.geo.ca/en-ca/map-browser/r <-- shared map/data-portal link, Canada Flood Map Inventory (CFM)
    --
    open.canada.ca/data/en/dataset <-- shared data-portal link, Canada Flood Susceptibility Index
    --
    doi.org/10.3390/ECWS-7-14235 <-- shared (2023) paper
    --
    doi.org/10.1002/2017WR020917 <-- shared (2017) paper
    --
    H/T @Michael DePue | VP & AtkinsRéalis Fellow for Water Resources Engineering | PE, PMP, CFM
    “At the Canadian Water Resources Association National Conference in Winnipeg, colleagues shared insights from Canada's Flood Hazard Identification and Mapping Program. This initiative has seen over 400 flood mapping projects and more than 1,000 flood hazard maps produced, supported by a substantial investment of $164.2 million from 2024 to 2028.
    Two key datasets:
    • The Canada Flood Map Inventory, which records the locations of flood hazard maps and provides information on how to access them.
    • The national Flood Susceptibility Index, a machine-learning assessment of flood-prone areas, including regions that have not been mapped in detail.
    When these two layers are combined on a single screen, it becomes clear where future mapping efforts should be directed — specifically, areas with high susceptibility that currently lack detailed maps…”
    #water #hydrography #flood #flooding #risk #hazard #model #modeling #fedscience #publicsafety #humaninpacts #opendata #Canada #GIS #spatial #mapping #damage #infrastructure #floodmapping #prediction #spatialanalysis #spatiotemporal #historic #current #future #preduction #extremeweather #metrology #rainfall #precipitation #atmosphericriver #FloodMapInventory #CFM #floodhazard #FloodSusceptibilityIndex #floodprone #research #susceptibility
    @NRCAN

    #water #hydrography #flood #flooding #risk #hazard
  23. 💧🌏 Greg Cocks @[email protected] ·

    Using Geospatial Analysis and Explainable Machine Learning to Examine Risk Factors of Out-of-Hospital Cardiac Arrest Survival Outcome
    --
    openscholar.uga.edu/record/269 <-- shared technical publication / dissertation
    --
    aag.org/award-grant/william-l- <-- shared @AAG William L. Garrison Award for Best Dissertation in Computational Geography
    --
    [again, way outside any expertise I might have, but fascinating spatial analysis use case…]
    H/T @Jielu Zhang | Postdoctoral Researcher @ Harvard University
    “[The authors] Ph.D. dissertation "Using Geospatial Analysis and Explainable Machine Learning to Examine Risk Factors of Out-of-Hospital Cardiac Arrest Survival Outcome" [1st link above] has received the 2026 biennial William L. Garrison Award for Best Dissertation in Computational Geography from the American Association of Geographers… [2nd link above.]
    In [their] research, [they] develop[ed] Explainable GeoAI and Causal GeoAI methods that combine geographic data and artificial intelligence to expose and ameliorate health disparities by delivering models that not only predict risks but also illuminate how and where to intervene. While [their] dissertation focused on cardiovascular disease, these approaches are broadly applicable to public health, medicine, urban planning, environmental exposure, and resilience research…”
    #explainable #causal #AI #model #modeling #PublicHealth #GIS #spatial #mapping #spatialanalysis #spatiotemporal #AAG2026 #AAG #Award #geostatistics #Georgia #health #risk #hazard #cardiacarrest #cardiovacscular #usecase #metrics #midocine #urbanplanning #resilience #survival #OutofHospital #PhD #Dissertation #CardiacArrest #AutomatedExternalDefibrillator #SpatialOptimization #GeographicallyExplainableArtificialIntelligence #GeoAI #GeoXAI #SpatiallyAwareCausalInference #OverlayedSpatioTemporalOptimization #healthcare #medical #intervention #GIS #spatial #mappingt #spatialanalysis #spatiotemporal #heart #heartattack #AED #survival #survivaloutcomes #machinelearning #AI #publichealth #healthgeographers #counterfactual #explainable #deeplearning #model #modeling

    #explainable #causal #ai #model #modeling #publichealth
  24. 💧🌏 Greg Cocks @[email protected] ·

    Unraveling The Drivers Of Water Shortage Across Spatial Scales And Sectors In Colorado's West Slope River Basins
    --
    doi.org/10.1029/2026EF008137 <-- shared paper
    --
    ['sorry' about your Kentucky Bluegrass, almonds, etc... /s]
    H/T Sai Veena Sunkara | Postdoctoral Associate
    “…Colorado’s West Slope basins provide nearly 70% of the inflows to Lake Powell and are also essential to communities, agriculture, industry, hydropower, and downstream Colorado River users.
    To examine the wide range of possible futures, [they] simulated 2.1 million years, defining 20,000 plausible scenarios applying changes to streamflow, snowmelt timing, drought persistence, and agricultural, municipal, and industrial water demand.
    A key finding is that there is 𝗻𝗼 𝘀𝗶𝗻𝗴𝗹𝗲 𝗰𝗮𝘂𝘀𝗲 𝗼𝗳 𝗳𝘂𝘁𝘂𝗿𝗲 𝘄𝗮𝘁𝗲𝗿 𝘀𝗵𝗼𝗿𝘁𝗮𝗴𝗲𝘀. The most influential drivers vary by basin, sector, and water user. In some areas, shortages are driven primarily by persistent low-flow conditions or changing snowmelt timing. In others, increasing municipal, industrial, or irrigation demand plays a larger role. This suggests that adaptation strategies must be tailored to specific basins and users rather than relying on a single, system-wide solution. Other major findings are
    • West Slope deliveries to Lake Powell could fall more than 50% below the current median baseline
    • Storage in major West Slope reservoirs could decline 40–55% below historical medians
    These results underscore the need for water-planning approaches that account for deep uncertainty, persistent drought, shifting snowmelt patterns, and sector-specific demand…”
    #Colorado #waterallocation #StateMod #USWest #USA #WesternSlope #waterresources #watersecurity #watershortage #drought #snowmelt #rainfall #precipitation #riverbasin #water #hydrography #hydrology #reasons #agriculture #industry #hydropower #streamflow #surfacewater #municipal #irrigation #adaptationstrategies #planning #policy #mitigation #ColoradoRiver #basins #climatechange #extremeweather #populationpressure #waterdemand #waterrights #model #modeling #HiddenMarkovModel #stochastic #projecteddemand #ColoradoRiverBasin #wateruse #spatial #mapping #spatialanalysis #spatiotemporal #strategy

    #colorado #waterallocation #statemod #uswest #usa #westernslope
  25. 💧🌏 Greg Cocks @[email protected] ·

    Busy Beavers - The Turbidity Signature Of Ecosystem Engineers At Work
    --
    doi.org/10.1002/hyp.70661 <-- shared paper
    --
    H/T @alan Puttock
    “Beavers are the quintessential ecosystem engineers. In slow-flowing streams, they create complex wetlands with ponds by building dams and canals that can positively impact biodiversity, hydrology and water quality. These activities can interchangeably capture or release sediment along the watercourse. To date this has not been quantified at the resolution of rainfall events or beaver activity. This study used 15-min frequency, sustained monitoring upstream and downstream of a newly establishing beaver wetland to measure episodic changes in water turbidity at an event resolution. Monitoring showed no significant differences between upstream and downstream turbidity over 160 days when the first pair of beavers, known not to be building dams or canals, were resident. Shortly after introduction of another beaver pair, however, dam building, burrows and canal excavations were quickly observed, resulting in the creation of a complex beaver wetland between 2021 and 2024. Monitoring over 375 days during this period showed significant differences. Downstream turbidity was significantly higher overall than upstream: 13.1 Nephelometric Turbidity Units (NTU) compared to 4.2 NTU. Stochastic spikes in downstream turbidity during the study period not recorded upstream were associated with dam building and burrowing. Overall, there was no significant difference in turbidity loads, which was at least partially explained by a reduction in discharge downstream, particularly in higher flows, during the dam building period. This demonstrates a complex system with the trapping of influent sediment, the storing of water and the periodic release of beaver wetland sediment leading to net balance in loads. These results help provide context for other studies which have used temporally discrete sampling campaigns rather than continuous high-frequency monitoring. They provide a unique insight into the downstream impacts of a rapidly developing beaver wetland over its first three and a half years in a landscape that hasn't had beavers for over 400 years…"
    #hydromorphic #water #hydrology #dam #beaverdam #waterquality #biodiversity #ecology #benefits #NatureBasedSolutions #Wetlands #Ecology #Biodiversity #EnvironmentalScience #Wildlife #Ecosystem #bioviversity #conservation #restoration #landscaperecovery #floodmanagement #FloodMitigation #flooding #energy #floodrisk #sustainability #wetlands #hydrography #dams #impoundment #deadwood #waterresources #landscapeengineer #benefits #vegetation #ecology #ecosystem #riversystemsstabilisation #naturalwaterregulation #resilience #valleysreborn #fisheries #invertebrates #extremeweather #floodflows #sediment #baseflow #drought #landmanagement #naturalsystems #landuse #monitoring #spatialanalysis #spatiotemporal

    #hydromorphic #water #hydrology #dam #beaverdam #waterquality
  26. 💧🌏 Greg Cocks @[email protected] ·

    Impact Of Reservoir Storage On Propagation From Meteorological To Hydrological Drought
    --
    doi.org/10.1016/j.jhydrol.2026 <-- shared paper
    --
    H/T @DrAjayGupta | Post Doctoral Fellow, IIT Bombay | Ph.D. in Hydrology, IIT Roorkee | Commonwealth Split-site Fellow, University of Birmingham I M.Tech in Water Resources Engineering, NIT Silchar | B.E. in Civil Engineering, PCE Nagpur.
    “🌍 Why is this important?
    While reservoirs are widely recognized for mitigating drought impacts, their role in controlling how drought propagates through the hydrological cycle has remained largely unexplored. In this study, [the authors] investigate how reservoir storage influences the transition of drought from meteorological to agricultural to reservoir to streamflow drought across the semi-arid Krishna River Basin, India.
    🔍 THIS STUDY ADDRESSES TWO KEY RESEARCH QUESTIONS:
    ✅ How do drought propagation time (initiation, peak, and termination) change from meteorological to agricultural, reservoir, and streamflow droughts across different timescales and threshold values?
    ✅ How does reservoir storage influence drought propagation between upstream and downstream reservoirs using the Downstreamness concept?
    📌 KEY FINDINGS
    🔹 Drought propagation differs substantially across drought types because each component of the hydrological system responds at different rates.
    🔹 Reservoirs significantly delay the propagation of drought by buffering water deficits, particularly between agricultural and streamflow drought.
    🔹 Mild and moderate upstream reservoir droughts rarely propagate downstream, whereas severe upstream droughts consistently transmit downstream, leading to longer duration, greater severity, and delayed onset.
    🔹 The downstreamness analysis reveals dynamic shifts in water storage between upstream and downstream reservoirs throughout drought development and recovery, providing valuable insights for reservoir operation and basin-scale drought management…”
    --
    “HIGHLIGHTS
    • Reservoir storage impact on drought propagation from meteorological-to-hydrological drought.
    • Drought propagation timeframe: initiation, peak and termination are checked.
    • Impact assessment using hydrological connection: upstream to downstream reservoirs.
    • Severe upstream droughts propagate downstream with increased duration and severity.
    • During drought periods water-storage concentration shifts from downstream to upstream..."
    #Drought #DroughtPropagation #Reservoirs #WaterResources #WaterManagement #RiverBasinManagement #KrishnaRiverBasin #Downstreamness #India #climatechange #reservoir #storage #hydrology #water #hydrologiccycle #watersecurity #planning #policy #KrishnaRiver #weather #climate #metrology #agriculture #farming #streamflow #model #modeling #spatiotemporal #spatialanalysis

    #drought #droughtpropagation #reservoirs #waterresources #watermanagement #riverbasinmanagement
  27. 💧🌏 Greg Cocks @[email protected] ·

    Mapping Deforestation Probability And Understanding The Forest Dynamics In Gazipur, Bangladesh
    --
    doi.org/10.1016/j.envc.2026.10 <-- shared paper
    --
    "ABSTRACT: Deforestation is a spiralling environmental catastrophe with impervious results for biodiversity, climate change, and human livelihoods, specifically in tropical regions. Being a tropical country, Bangladesh has experienced approximately 40% loss of its forest cover, at Gazipur since 1930, which contains about 86% of the country's Sal (Shorea robusta) forest, ranging approximately 4,300 hectares per year (2001–2010) to over 19,500 hectares per year (2011–2020), exemplifying an intensification of nearly 353%. The objective of this study is to map deforestation probability at the Gazipur district of Dhaka Division, Bangladesh, by utilising machine learning algorithms along with multi-source geospatial data, with the purpose of identifying high-risk zones and facilitating evidence-based forest governance, land-use development, and prioritizing conservation areas. This study integrated twelve conditioning factors, including biophysical, landscape, and anthropogenic. To identify susceptible zones the study trained and assessed five machine learning algorithms; RF, XGBoost, ANN, NB, and MLP and validating the result through different metrics like sensitivity, specificity, precision, accuracy, F1-score, AUC. The performance of the models was evaluated using Wilcoxon signed-rank tests and marginal response curves (MRC) were used to understand factor contributions. In the result, RF achieved highest performance with accuracy of 84% and AUC of 0.93, followed by XGBoost at 83% accuracy and 0.92 AUC. Rainfall and population density were most dominant conditioning factors among models. Pairwise statistical testing resulted that ensemble-based algorithms (RF, XGBoost) generated statistically comparable and significantly higher predictions compared to NB and MLP. Spatial probability maps indicate areas of high and very high risk in the south-western and north-eastern upazilas. The results can be applicable for forest management authorities, urban planners, and policymakers, and correspond with SDG Indicator 15. An inclusive governance framework containing land zoning, ecological area identification, and compliance with industrial EIA is proposed to persuade probability maps into adaptive forest management strategies…”
    #deforestation #probability #machinelearning #algorithms #AI #Gazipur #Bangladesh #GIS #spatial #mapping #spatialanalysis #spatiotemporal #rainfall #precipitation #humanimpacts #populationpressure #risk #prediction #RandomForest #conservation #restoration #environment #biodiversity, #climatechange #human #livelihood #tropical #forestcover #sal #forest #vegetation #tree #upazila #spatialprobability #geostatistics #forestmanagement #planning #policy #urbanplanners #governance #zoning #ecology #habitat

    #deforestation #probability #machinelearning #algorithms #ai #gazipur
  28. 💧🌏 Greg Cocks @[email protected] ·

    GMIA-NEXT - Next-Generation Global Map of Irrigated Areas |
    --
    doi.org/10.21203/rs.3.rs-10085 <-- shared paper
    --
    zenodo.org/records/17627111 <-- shared open data
    --
    H/T @kyle Davis
    “Irrigation plays a critical role in global food production and climate adaptation and exercises profound influence over humanity's water use. Yet despite its critical importance, there is a persistent lack of understanding of fine-scale irrigation patterns across the planet, knowledge which is essential for informing global food security and sustainability targets. Utilizing either statistical downscaling or remote sensing approaches, existing global irrigation datasets are constrained by coarse spatial resolutions, a lack of timeliness, or varying robustness and reliability. To address this gap, here [they] integrate[d] multi-source Earth observation and environmental datasets and use[d] machine learning to develop a medium-resolution (30 metre) global irrigated area dataset for the 2023/24 growing season. Within existing cropland extent, we leverage a newly compiled set of georeferenced irrigated (N=230,683) and non-irrigated (N=153,194) ground-truth points and integrate seasonal vegetation metrics derived from Landsat 8/9 imagery with agroecological-zone information and hydroclimatic and topographic variables. [They] subsequently develop and evaluate two machine-learning frameworks, a continental Agro-Ecological Zone (AEZ) tile-based framework and a continental-scale framework, and apply the best-performing approach for each continent. Evaluation using held-out test samples yielded a global accuracy of 80.5 ± 2.1%. The resulting maps were also validated against independent global and national irrigation datasets and statistics, demonstrating broad agreement in the spatial distribution of irrigated areas. This approach is robust and reliable because it is built on a harmonized global ground-truth database, incorporates multiple predictors, and is rigorously validated using independent datasets. All code, ground-truth, and data products are freely and publicly available [link above] and can serve as a robust, scale-neutral, and fully reproducible framework for fine-resolution irrigation mapping. These advances provide the critical and long-needed foundation for near-real-time monitoring and early warning systems, and fine-scale land and water resource management…”
    #IrrigatedAreas #Mapping #GIS #spatial #mapping #spatialanalysis #spatiotemporal #global #irrigation #water #hydrology #hydrography #waterresources #farming #agriculture #opendata #remotesensing #earthobservation #geomorphometry #AI #machinelearning #LLM #model #modeling #WaterManagement #opendata #AgroEcologicalZone #AEZ #cropland #irrigatedareas #foodproduction #wateruse #humanimpacts #EarthObservation #remotesensing #earlywarning #monitoring #FoodandAgricultureOrganizationFAO #FAO
    @FAO - Food and Agriculture Organization

    #irrigatedareas #mapping #gis #spatial #spatialanalysis #spatiotemporal
  29. 💧🌏 Greg Cocks @[email protected] ·

    Watching A #NOAA #Webinar on Flash Droughts
    --
    noaaresearch.webex.com/wbxmjs/ <-- shared NOAA Summer Science Series individual webinar
    --
    drought.gov/what-is-drought/fl <-- shared NOAA overview technical article
    --
    star.nesdis.noaa.gov/star/NOAA <-- subscribe to the NOAA Summer Science Series
    --
    doi.org/10.1038/s41612-024-006 <-- shared paper
    --
    communities.springernature.com <-- shared technical article (derived from paper above)
    H/T @Jeffrey Basara PhD, MBA | Chair and Professor - Department of Environmental, Earth, and Atmospheric Sciences, University of Massachusetts Lowell | Co-Founder - American Prime Sustainable Solutions
    [Flash floods? not TOO hard to conceptualise.
    Flash drought? harder to 'get my head around', but H/T / presenter does an excellent job!]
    "Not all droughts are the same. In some cases, drought rapidly intensifies at subseasonal to seasonal scales with significant impacts to agriculture and water resources along with the increased propensity for heatwaves and wildfires. Like all droughts, flash drought begins with a precipitation deficit. However, both evaporative demand and soil moisture are critical flash drought variables, and identifying and monitoring the desiccation of the terrestrial surface is key for determining flash drought development and associated impacts. While recent advances in knowledge and monitoring of flash drought have occurred, fundamental questions remain in the state of the science. What are the overall mechanistic relationships between atmospheric demand, evaporative stress, terrestrial desiccation, and precipitation that drive the progression of flash drought? Do regional characteristics of the environment impact the evolution of flash drought? What are the scales of predictability for flash drought? Finally, how will flash drought frequency and intensity evolve in a changing climate system"
    --
    "Flash drought intensifies rapidly due to changes in precipitation, temperature, wind, and radiation. These changes in the weather increase evapotranspiration and lower soil moisture. Flash droughts can cause extensive damage to agriculture, economies, and ecosystems if they are not predicted and discovered early..."
    #water #hydrology #fedscience #publicgood #hydrologicdrought #waterdeficit #spatialanalysis #spatiotemporal #watersecurity #risk #hazard #humanimpacts #streamflow #riverflow #groundwater #surfacewater #climate #weather #climatechange #extremeweather #atmosphere #metrology #regional #global #farming #agriculture #fluvial #pluvial #rainfall #precipitation #cloudcover #energy #heat #temperature #ET #evapotranspiration #farming #agriculture #foodsecurity #waterresources #dynamicsystems #watermanagement #flashdrought #drought #susceptibility #monitoring #prediction #model #modeling
    @noaa

    #noaa #webinar #water #hydrology #fedscience #publicgood
  30. 💧🌏 Greg Cocks @[email protected] ·

    Mapping Sleeping Bees within Their Nest: Spatial and Temporal Analysis of Worker Honey Bee Sleep
    --
    pmc.ncbi.nlm.nih.gov/articles/ <-- shared paper
    --
    H/T Dimitrios A. Karras
    “Bees are not only very important for all ecosystems... They are very cute too....
    However, bee societies are very complex and different sleep patterns exist for the other kinds of bees in the hierarchy..
    In general, bees actually sleep, and many species spend around 5-8 hours resting each day, usually at night when they're not foraging.
    Some solitary bees have been photographed sleeping inside flowers, where they cling onto the petals or stamens with their tiny legs and sometimes even their jaws.
    One of the cutest parts is that tired bees can look almost like they've fallen asleep at work, curled up inside a flower with pollen still covering their bodies…”
    --
    “Patterns of behavior within societies have long been visualized and interpreted using maps. Mapping the occurrence of sleep across individuals within a society could offer clues as to functional aspects of sleep. In spite of this, a detailed spatial analysis of sleep has never been conducted on an invertebrate society. [The authors] introduce the concept of mapping sleep across an insect society, and provide an empirical example, mapping sleep patterns within colonies of European honey bees (Apis mellifera L.). Honey bees face variables such as temperature and position of resources within their colony's nest that may impact their sleep. [They] mapped sleep behavior and temperature of worker bees and produced maps of their nest's comb contents as the colony grew and contents changed. By following marked bees, [they] discovered that individuals slept in many locations, but bees of different worker castes slept in different areas of the nest relative to position of the brood and surrounding temperature. Older worker bees generally slept outside cells, closer to the perimeter of the nest, in colder regions, and away from uncapped brood. Younger worker bees generally slept inside cells and closer to the center of the nest, and spent more time asleep than awake when surrounded by uncapped brood. The average surface temperature of sleeping foragers was lower than the surface temperature of their surroundings, offering a possible indicator of sleep for this caste. [They] propose mechanisms that could generate caste-dependent sleep patterns and discuss functional significance of these patterns…”
    #bee #insect #hive #sleeping #sleep #patterns #monitoring #spatialanalysis #spatiotemporal #spatial #mapping #sleeppatterns #behaviour #society #community #honeybees #ecosystem #colony #infrared #remotesensing #temperature #instrumentation

    #bee #insect #hive #sleeping #sleep #patterns
  31. 💧🌏 Greg Cocks @[email protected] ·

    A Scale-Invariance-Based Algorithm Application For Land Surface Temperature Downscaling In Denmark
    --
    doi.org/10.3390/rs18132263 <-- shared paper
    --
    zenodo.org/records/20863040 <-- shared open data for downscaled LST dataset for Copenhagen
    --
    H/T @CLIM4cities
    #urbanclimate #downscaling #landsurfacetemperature #LST #AI #machinelearning #scaleinvariance #residualcorrection #Sentinel #Landsat #satellite #remotesensing #earthobservation #CLIM4cities #UrbanClimate #ClimateServices #MachineLearning #ClimateAdaptation #heatwave #temperature #ontheground #Copenhagen #Denmark #impervioussurface #asphalt #roof #concrete #albedo #heatabsorption #mitigation #urban #urbancentre #treecover #vegetation #urbanheatisland #planning #design #hotspots #monitoring #spatialanalysis #spatiotemporal #model #modeling #usecase #operational #climatechange #extremeweather #evidencebased #adapation #sustainability #urbanplanning #climateresilience #EssentialClimateVariable #ECV
    @+ATLANTIC | @Danish Meteorological Institute | @ESA Φ-lab Collaborative Innovation Network | @CLIM4cities

    #urbanclimate #downscaling #landsurfacetemperature #lst #ai #machinelearning
  32. 💧🌏 Greg Cocks @[email protected] ·

    Advancing Detailed Flood Hazard Identification in Alberta, Canada - Insights from Two Recent Flood Studies
    --
    doi.org/10.3390/w18131592 <-- shared paper
    --
    “The increasing frequency of floods and the severity of their consequences for public safety, infrastructure, and the economy demand improved methods for flood hazard identification. Flood studies that include flood hazard mapping are critical tools for informing emergency response and flood recovery, as well as for land use and mitigation planning. The methodology for such flood studies has evolved, and access to more powerful computational resources and high-resolution base data has contributed to the increased use of two-dimensional hydraulic modelling, where one-dimensional modelling previously was the default. However, local-scale flood studies face real-world constraints, including sparse data, challenging hydrologic conditions, and budget limitations, which can hinder the application of advanced techniques. This study addresses these challenges through innovative, practice-driven solutions in two case studies in Alberta, Canada: a small, partly channelised prairie stream network (Wolf Creek, Lacombe) and a laterally dynamic river on a distributary delta (Swan River, Kinuso). Three core components of flood hazard studies are described: field survey data collection, regional hydrology assessment, and hydraulic modelling. Key findings include demonstrating that LiDAR-derived terrain models alone cannot capture channel conveyance, the importance of low-flow calibration in the absence of high-water marks, the selection of a modelling methodology based on bathymetric and topographic features within a study area, and the development of inflow hydrographs for unsteady-state simulation in flat floodplains…”
    #FloodMapping #FloodRisk #Hydrology #HydraulicModeling #HECRAS #WaterResources #Alberta #Resilience #RiverSurvey #spatialanlaysis #spatiotemporal #floodhazardmapping #HECRAS #model #modeling #remotesensing #LiDAR #bathymetry #floodfrequencyanalysis #unsteadysimulation #FHIMP #FHIP #WoldCreek #Lacombe #SwanRiver #Kinuso #Alberta #Canada #localscale #provincialfloodstudy # prairie #stream #river #flood #flooding #water #hydrology #risk #hazard #watershed #publicsafety #cost #damage #economics #infrastructure #use #practicedriven #floodhazard #survey #hydraulic #terrainmodels #hydrogeomorphology #topography #elevation #floodplain
    @Alberta Environment and Protected Areas | @Government of Alberta | @Barr Engineering

    #floodmapping #floodrisk #hydrology #hydraulicmodeling #hecras #waterresources
  33. 💧🌏 Greg Cocks @[email protected] ·

    Impact Of Floods On Surface Water Quality - A Systematic Review And Comprehensive Assessment
    --
    doi.org/10.1016/j.jhydrol.2026 <-- shared paper
    --
    epa.gov/system/files/documents <-- shared paper
    --
    “Floods, as extreme flow events, are among the costliest and devastating natural hazards. Among the various domains impacted by flooding, environmental degradation, particularly the deterioration of water quality (WQ), is one of the most impacted yet often overlooked. Therefore, it is essential to understand the nature and source of water pollution associated with flooding. This study aims to evaluate and assess multiple studies conducted globally to determine the impact of floods on WQ. A literature review and assessment of 66 studies published between 2007 and 2026 was conducted using the total comprehensiveness score (TCS). To support the scoring process, studies that scored more than 70% of the maximum achievable TCS (15.4) are considered the most detailed and comprehensive in addressing the objectives of this review. 16 studies achieved a TCS above 15.4, indicating that a limited number of studies incorporate a broader set of factors in this domain. A higher number of studies were conducted post the year 2021, highlighting both scientific progress and a growing focus on WQ impacts from disasters such as floods, beyond the traditionally emphasized socio-economic loss. Among the shortlisted studies, fluvial floods are the most frequently examined, followed by pluvial floods and coastal floods. During fluvial floods, turbidity increased by up to two orders of magnitude, while nutrient concentrations (TN, TP) typically rose by ∼ 10–30%. In contrast, pluvial floods were characterised by dilution-driven decreases in EC and TDS, with DOX, BOD and COD showing variable responses across flood types. This review evaluates flood impacts on WQ, catchment characteristics, and sources of WQ modification. The findings of the research reveal that not all WQ parameters are responsible for WQ degradation during every flood event. Rather, it is a combination of certain parameters that leads to deteriorated WQ. WQ degradation depends on interacting factors such as flood duration, extent, depth, and flow dynamics. In overall, this study provides an overview of the multiple cascading impacts of floods on WQ, along with a detailed perspective on the set of criteria that should be considered in future research…”
    #water #hydrology #hydrography #flood #flooding #criteriaassessment #waterpollution #waterquality #parameters #extremeflow #waterresources #extremeweather #waterresources #watermanagement #global #literaturereview #morphology #source #type #watersecurity #research #papers #compilation #humanimpacts #PRISMA #spatiotemporal #fluvial #pluvial #coast #coastal #risk #hazard #riverine #climatechange #EnvironmentalScience #Research #ClimateResilience #floodtype #pollution #naturalhazard

    #water #hydrology #hydrography #flood #flooding #criteriaassessment
  34. 💧🌏 Greg Cocks @[email protected] ·

    Mountain Lions Have Major Ecological Impact Even In Small Preserves
    --
    phys.org/news/2026-06-mountain <-- shared technical article
    --
    doi.org/10.1002/ece3.73775 <-- shared paper
    --
    youtu.be/jy-ngOhoNPU?si=WTSMWz <-- shared Standford overview video
    --
    youtu.be/CzSCu2FOj0Q?si=bb15-e <-- shared Stanford overview video
    --
    [not my usual fare to post, but fascinating…]
    “#Bigcats have a big impact. A long-term study showed that when mountain lions began regular visits to a small suburban preserve about 45 miles (72 kilometers) south of San Francisco, they changed the behavior of many other animals.
    Mountain lions (Puma concolor) started appearing with increasing frequency on trail cameras at Stanford's Jasper Ridge Biological Preserve ('Ootchamin 'Ooyakma) from 2015 to 2020. Researchers documented a corresponding drop in deer activity compared with the prior years of lower or absent puma activity. Vegetation surveys also showed that many woody plants deer like to eat or tend to trample, including young oak trees, began to thrive.
    These types of multilevel effects, called trophic cascades, have been studied primarily in large wilderness areas, particularly cascades caused by #apexpredators such as #wolves reintroduced into Yellowstone National Park...”
    #mountainlion #cougar #puma #trophiccascade #JasperRidgeBiologicalPreserve #OotchaminOoyakma #monitoring #spatiotemporal #spatialanalysis #trailcamera #deer #rabbit #coyote #bobcat #fox #vegetation #survey #oak #tree #young #sapling #plant #predator #preyabundance #herbivore #health #ecosystem #balance #habitat #mesopredator #crossmapping #nocturnal #GIS #spatial #mapping #ecology #conservation #wilderness
    #StanfordUniversity

    #apexpredators #wolves #mountainlion #cougar #puma #trophiccascade
  35. 💧🌏 Greg Cocks @[email protected] ·

    Mountain Lions Have Major Ecological Impact Even In Small Preserves
    --
    phys.org/news/2026-06-mountain <-- shared technical article
    --
    doi.org/10.1002/ece3.73775 <-- shared paper
    --
    youtu.be/jy-ngOhoNPU?si=WTSMWz <-- shared Standford overview video
    --
    youtu.be/CzSCu2FOj0Q?si=bb15-e <-- shared Stanford overview video
    --
    [not my usual fare to post, but fascinating…]
    “#Bigcats have a big impact. A long-term study showed that when mountain lions began regular visits to a small suburban preserve about 45 miles (72 kilometers) south of San Francisco, they changed the behavior of many other animals.
    Mountain lions (Puma concolor) started appearing with increasing frequency on trail cameras at Stanford's Jasper Ridge Biological Preserve ('Ootchamin 'Ooyakma) from 2015 to 2020. Researchers documented a corresponding drop in deer activity compared with the prior years of lower or absent puma activity. Vegetation surveys also showed that many woody plants deer like to eat or tend to trample, including young oak trees, began to thrive.
    These types of multilevel effects, called trophic cascades, have been studied primarily in large wilderness areas, particularly cascades caused by #apexpredators such as #wolves reintroduced into Yellowstone National Park...”
    #mountainlion #cougar #puma #trophiccascade #JasperRidgeBiologicalPreserve #OotchaminOoyakma #monitoring #spatiotemporal #spatialanalysis #trailcamera #deer #rabbit #coyote #bobcat #fox #vegetation #survey #oak #tree #young #sapling #plant #predator #preyabundance #herbivore #health #ecosystem #balance #habitat #mesopredator #crossmapping #nocturnal #GIS #spatial #mapping #ecology #conservation #wilderness
    #StanfordUniversity

    #apexpredators #wolves #mountainlion #cougar #puma #trophiccascade
  36. 💧🌏 Greg Cocks @[email protected] ·

    Mountain Lions Have Major Ecological Impact Even In Small Preserves
    --
    phys.org/news/2026-06-mountain <-- shared technical article
    --
    doi.org/10.1002/ece3.73775 <-- shared paper
    --
    youtu.be/jy-ngOhoNPU?si=WTSMWz <-- shared Standford overview video
    --
    youtu.be/CzSCu2FOj0Q?si=bb15-e <-- shared Stanford overview video
    --
    [not my usual fare to post, but fascinating…]
    “#Bigcats have a big impact. A long-term study showed that when mountain lions began regular visits to a small suburban preserve about 45 miles (72 kilometers) south of San Francisco, they changed the behavior of many other animals.
    Mountain lions (Puma concolor) started appearing with increasing frequency on trail cameras at Stanford's Jasper Ridge Biological Preserve ('Ootchamin 'Ooyakma) from 2015 to 2020. Researchers documented a corresponding drop in deer activity compared with the prior years of lower or absent puma activity. Vegetation surveys also showed that many woody plants deer like to eat or tend to trample, including young oak trees, began to thrive.
    These types of multilevel effects, called trophic cascades, have been studied primarily in large wilderness areas, particularly cascades caused by #apexpredators such as #wolves reintroduced into Yellowstone National Park...”
    #mountainlion #cougar #puma #trophiccascade #JasperRidgeBiologicalPreserve #OotchaminOoyakma #monitoring #spatiotemporal #spatialanalysis #trailcamera #deer #rabbit #coyote #bobcat #fox #vegetation #survey #oak #tree #young #sapling #plant #predator #preyabundance #herbivore #health #ecosystem #balance #habitat #mesopredator #crossmapping #nocturnal #GIS #spatial #mapping #ecology #conservation #wilderness
    #StanfordUniversity

    #apexpredators #wolves #mountainlion #cougar #puma #trophiccascade
  37. 💧🌏 Greg Cocks @[email protected] ·

    Mountain Lions Have Major Ecological Impact Even In Small Preserves
    --
    phys.org/news/2026-06-mountain <-- shared technical article
    --
    doi.org/10.1002/ece3.73775 <-- shared paper
    --
    youtu.be/jy-ngOhoNPU?si=WTSMWz <-- shared Standford overview video
    --
    youtu.be/CzSCu2FOj0Q?si=bb15-e <-- shared Stanford overview video
    --
    [not my usual fare to post, but fascinating…]
    “#Bigcats have a big impact. A long-term study showed that when mountain lions began regular visits to a small suburban preserve about 45 miles (72 kilometers) south of San Francisco, they changed the behavior of many other animals.
    Mountain lions (Puma concolor) started appearing with increasing frequency on trail cameras at Stanford's Jasper Ridge Biological Preserve ('Ootchamin 'Ooyakma) from 2015 to 2020. Researchers documented a corresponding drop in deer activity compared with the prior years of lower or absent puma activity. Vegetation surveys also showed that many woody plants deer like to eat or tend to trample, including young oak trees, began to thrive.
    These types of multilevel effects, called trophic cascades, have been studied primarily in large wilderness areas, particularly cascades caused by #apexpredators such as #wolves reintroduced into Yellowstone National Park...”
    #mountainlion #cougar #puma #trophiccascade #JasperRidgeBiologicalPreserve #OotchaminOoyakma #monitoring #spatiotemporal #spatialanalysis #trailcamera #deer #rabbit #coyote #bobcat #fox #vegetation #survey #oak #tree #young #sapling #plant #predator #preyabundance #herbivore #health #ecosystem #balance #habitat #mesopredator #crossmapping #nocturnal #GIS #spatial #mapping #ecology #conservation #wilderness
    #StanfordUniversity

    #stanforduniversity #wilderness #conservation #ecology #mapping #spatial
  38. 💧🌏 Greg Cocks @GregCocks ·

    Mountain Lions Have Major Ecological Impact Even In Small Preserves
    --
    phys.org/news/2026-06-mountain <-- shared technical article
    --
    doi.org/10.1002/ece3.73775 <-- shared paper
    --
    youtu.be/jy-ngOhoNPU?si=WTSMWz <-- shared Standford overview video
    --
    youtu.be/CzSCu2FOj0Q?si=bb15-e <-- shared Stanford overview video
    --
    [not my usual fare to post, but fascinating…]
    “#Bigcats have a big impact. A long-term study showed that when mountain lions began regular visits to a small suburban preserve about 45 miles (72 kilometers) south of San Francisco, they changed the behavior of many other animals.
    Mountain lions (Puma concolor) started appearing with increasing frequency on trail cameras at Stanford's Jasper Ridge Biological Preserve ('Ootchamin 'Ooyakma) from 2015 to 2020. Researchers documented a corresponding drop in deer activity compared with the prior years of lower or absent puma activity. Vegetation surveys also showed that many woody plants deer like to eat or tend to trample, including young oak trees, began to thrive.
    These types of multilevel effects, called trophic cascades, have been studied primarily in large wilderness areas, particularly cascades caused by such as reintroduced into Yellowstone National Park...”

    #apexpredators #wolves #mountainlion #cougar #puma #trophiccascade
  39. 💧🌏 Greg Cocks @[email protected] ·

    🚨 FEMA’s Hazus v7.2 Is Here — A Major Upgrade For Disaster Risk Modeling
    --
    fema.gov/flood-maps/products-t <-- shared link to FEMA HAZUS download, documentation, use case, etc
    --
    [I used to work some with Hazus back in the back, but my career changed path; I still appreciate its strength and unity of purpose (sic) #alldataisspatial]
    H/T @Laban "L.J." Johnson | Founder, LJ Learn & Concordia Initiative | Crisis Support · Leadership Development · Community Resilience | Bridging worlds to help people rise
    “FEMA’s Hazus GIS platform has been updated with a new ArcGIS Pro–based version, bringing faster, more powerful tools for estimating losses from floods, hurricanes, earthquakes, and other natural hazards.
    Key updates in Hazus 7.2 include:
    • Streamlined workflows for flood and hurricane modeling
    • New Earthquake ShakeMap integration using USGS data
    • Expanded and improved results exports and reporting (including geodatabase outputs)
    • Stronger security with known vulnerabilities addressed
    • Performance improvements and optimized installation process
    • [Significantly enhanced and comprehensive summary reports for flood and earthquake are now available for download.]
    • Full integration with ArcGIS Pro (3.4–3.6) for a modern GIS experience
    This release represents a significant step forward in how hazard planners, emergency managers, and GIS professionals analyze and prepare for disaster impacts…”
    --
    “FEMA’s Hazus program provides software, data, methods, and guidance for estimating risk from natural hazards. Hazus can estimate building damages, economic losses, displaced households, casualties, debris generation and more resulting from a natural hazard event and can be used in all phases of emergency management…”
    #HAZUS #fedservice #fedscience #oublicgood #publicsafety #emergencyresponse #software #spatialdata #GIS #spatial #mapping #risk #hazard #riskassessment #naturalhazard #humanimpacts #earthquake #wildfire #spatialanalysis #spatiotemporal #flood #flooding #cost #damage #economic #publicsafety #publichealth #emergencymanagement #opensource #opendata #tsunami #tornado #hurricane #ShakeMap #infrastructure #planning #policy #preparedness #impacts #geology #engineeringgeology #remotesensing #earthobservation
    @FEMA

    #alldataisspatial #hazus #fedservice #fedscience #oublicgood #publicsafety
  40. 💧🌏 Greg Cocks @[email protected] ·

    Late Miocene Euphrates River Drained Into A Partially Desiccated Eastern Mediterranean
    --
    doi.org/10.1038/s41561-026-019 <-- shared paper
    --
    [the paleogeographic reconstruction is outstanding, including the strength and information conveyed so well in that figure, kudos!]
    H/T @lina Jakaitė-Darkšė
    “Although the Euphrates River - stretching ~3,000 km across Western Asia - has shaped the region’s geology for millions of years, the timing of its origin and the evolution of its course remain enigmatic. So far, two contrasting hypotheses have been proposed to explain the fluvial system’s Late Neogene path: termination in Anatolia at a palaeo-lake or the Mediterranean, or a southeastward continuation to Arabia. Here [they] use seismic-reflection and topographic data to show that two previously identified sedimentary accumulations - deposited during the terminal phase of the Late Miocene Messinian salinity crisis - resulted from dual riverine systems that drained into a partially desiccated eastern Mediterranean before avulsing toward the Persian Gulf and converging to form the modern Euphrates River. From probabilistic sediment-budget modelling, [they] show that although the latest Messinian drainage basins were an order of magnitude smaller than their present-day extents, the total palaeo-discharge exceeded that of the modern Tigris, Euphrates and Nile rivers combined, indicating intense palaeo-precipitation and high palaeo-relief. These results suggest that plate-margin deformation both controlled the fluvial avulsions that diverted the Euphrates River from the Anatolian–Eurasian Plate to the Arabian Plate, and established the conditions necessary for the development of the alluvial Fertile Crescent…”
    #water #hydrology #hydrography #paleogeography #Euphrates #river #Miocene #reconstruction #spatialreconstruction #geology #change #erosion #MiddleEast #spatialanalysis #spatiotemporal #Neogene #Anatolia #paleolake #Mediterranean #Arabia #Messinian #remotesensing #model #modeling #topography #hydrogeomorphology #geomorphology #PersianGulf #sediment #paleodischarge #volume #Tigris #elevation #platetectonics #structuralgeology #platemargin #fluvial #avulsion #FertileCrescent

    #water #hydrology #hydrography #paleogeography #euphrates #river
  41. 💧🌏 Greg Cocks @[email protected] ·

    Geospatial Analysis of Urban Population Model Discrepancies Through Land Use and the Built Environment - A Case Study of Croatia
    --
    doi.org/10.3390/geographies602 <-- shared paper
    --
    H/T Olga Bjelotomić Oršulić
    “Using official Croatian census data as a reference, [the researchers] analysed three global population datasets across seven Croatian cities to investigate how population allocation differs between built-up and non-built-up areas.
    Although the datasets often produced similar population totals, their spatial allocation differed substantially. GHS-POP concentrated over 1 million more inhabitants within built-up areas, while WorldPop allocated approximately 290,000 more inhabitants to non-built-up land-cover classes, demonstrating how similar population totals can mask substantial differences in spatial population patterns.
    The question is not only how many people are estimated, but also where the model places them…”
    #GIS #spatial #mapping #gridded #population #urban #dataanalysis #shrinkingcities #census #censusvalidation #WorldPop #GHSPOP #GPWv4 #builtupareas #sustainability #SDG #casestudy #Croatia #spatialanalysis #spatiotemporal #SustainableDevelopmentGoals #populationdecline #demographics #urbanplanning #planning #city #cities #PopulationData #RemoteSensing #UrbanAnalytics #OpenData #SDG #model #modeling #urbanisation #density #QGIS #landcover
    @MDPI

    #gis #spatial #mapping #gridded #population #urban
  42. 💧🌏 Greg Cocks @[email protected] ·

    [G]lobal Decline In Endorheic Basin Water Storages
    --
    doi.org/10.1038/s41561-018-026 <-- shared paper
    --
    en.wikipedia.org/wiki/Endorhei <-- shared Wikipedia page
    --
    “Endorheic (hydrologically landlocked) basins spatially concur with arid/semi-arid climates. Given limited precipitation but high potential evaporation, their water storage is vulnerable to subtle flux perturbations, which are exacerbated by global warming and human activities. Increasing regional evidence suggests a probably recent net decline in endorheic water storage, but this remains unquantified at a global scale. By integrating satellite observations and hydrological modelling, [they] reveal[ed] that during 2002–2016 the global endorheic system experienced a widespread water loss of about 106.3 Gt/yr, attributed to comparable losses in surface water, soil moisture and groundwater. This decadal decline, disparate from water storage fluctuations in exorheic basins, appears less sensitive to El Niño–Southern Oscillation-driven climate variability, which implies a possible response to longer-term climate conditions and human water management. In the mass-conserved hydrosphere, such an endorheic water loss not only exacerbates local water stress, but also imposes excess water on exorheic basins, leading to a potential sea level rise that matches the contribution of nearly half of the land glacier retreat (excluding Greenland and Antarctica). Given these dual ramifications, [they] suggest the necessity for long-term monitoring of water storage variation in the global endorheic system and the inclusion of its net contribution to future sea level budgeting…”
    #water #hydrology #hydrography #global #waterresources #waterstorage #Endorheic #Basin #watersecurity #arid #semiarid #rainfall #precipitation #spatialanalysis #spatiotemporal #globalwarming #climatechange #humanimpacts #anthropogenic #regional #remotesensing #GIS #spatial #mapping #earthobservation #surfacewater #groundwater #soilmoisture #exorheic #watermanagement #hydrosphere #waterstress #SLR #sealevelrise #monitoring #waterbudgets

    #water #hydrology #hydrography #global #waterresources #waterstorage
  43. 💧🌏 Greg Cocks @[email protected] ·

    Decoupling Of Surface Water Storage From Precipitation In Global Drylands Due To Anthropogenic Activity
    --
    doi.org/10.1038/s44221-024-003 <-- shared paper
    --
    “The availability of surface water in global drylands is essential for both human society and ecosystems. However, the long-term drivers of change in surface water storage, particularly those related to anthropogenic activities, remain unclear. Here [they] use[d] multi-mission remote sensing data to construct monthly time series of water storage changes from 1985 to 2020 for 105,400 lakes and reservoirs in global drylands. An increase of 2.20 km³ per year in surface water storage is found primarily due to the construction of new reservoirs. For lakes and old reservoirs (constructed before 1983), conversely, the trend in storage is minor when aggregated globally, but they dominate surface water storage trends in 91% of individual global dryland basins. Further analysis reveals that long-term storage changes in these water bodies are primarily linked to anthropogenic factors - including human-induced warming and water-management practices - rather than to precipitation changes, as previously thought. These findings reveal a decoupling of surface water storage from precipitation in global drylands, raising concerns about societal and ecosystem sustainability…”
    #water #hydrology #hydrography #waterstorage #waterresources #surfacewater #global #drylands #precipitation #rainfall #watersecurity #ecosystems #habitat #publichealth #anthropogenic #GIS #spatial #mapping #remotesensing #earthobservation #spatiotemporal #spatialanalysis #monitoring #geostatistics #engineering #reservoirs #infrastructure #lakes #waterbodies #globalwarming #climatechange #sustainability #planning #baseline

    #water #hydrology #hydrography #waterstorage #waterresources #surfacewater
  44. 💧🌏 Greg Cocks @[email protected] ·

    Study Highlights Growing Importance Of Multi-Day Storms In Future U.S. Flood Risk
    --
    news.okstate.edu/articles/engi <-- shared technical article
    --
    doi.org/10.1088/2752-5295/ae4f <-- shared paper
    --
    “Extreme rainfall is projected to intensify as the climate warms, yet whether the greatest increases will occur in multi-day or single-day events remains uncertain. This knowledge gap is particularly pressing given recent catastrophic floods triggered by multi-day rainfall events, prompting the question of whether multi-day events could, in fact, intensify more than their daily counterparts, and by how much. This study addresses this question using an ensemble of 34 downscaled Earth System Models under two Shared Socioeconomic Pathways (SSP2-4.5 and SSP5-8.5), focusing on changes in extreme rainfall by the end of the century across ten regions of the contiguous United States. [Their] statistical framework evaluates model agreement, ensemble-mean changes, and the significance of these changes for both daily and multi-day rainfall extremes. Results show that extreme rainfall amounts are expected to increase for most regions and durations. The degree of intensification, however, depends strongly on event rarity and regional climate characteristics. Notably, in the U.S. western Gulf Coast region, very rare multi-day events (e.g., 500 year return period) are projected to intensify more than their daily counterparts, a phenomenon that could be explained by increased stalling of tropical cyclones, which can prolong heavy rainfall over multiple days. These results challenge the assumption that daily extremes dominate future risk and highlight the need to consider event duration when updating flood-hazard maps, design standards, and adaptation planning…”
    #Flooding #FloodRisk #FloodInsurance #FloodAwareness #Explore #FloodPreparedness #FlashFlooding #ClimateResilience #climatechange #extremeweather #DisasterPreparedness #StormwaterManagement #FloodSafety #CommunityResilience #risk #hazard #model #modeling #floodrisk #multiday #rainfall #precipitation #storm #water #hydrology #hydrography #planning #policy #regulations #climatemodel #CONUS #USA #publicsafety #cost #economics #damage #loss #infrastructure #spatiotemporal #spatialanalysis #earthsystemmodels #forecasting #meteorology #designstandards #floodmapping #mitigation #flood

    #flooding #floodrisk #floodinsurance #floodawareness #explore #floodpreparedness
  45. 💧🌏 Greg Cocks @[email protected] ·

    On The Use Of Rainfall Time Series For Regional Landslide Prediction By Means Of Functional Regression
    --
    doi.org/10.1016/j.enggeo.2026. <-- shared paper
    --
    #rainfallinduced #landslide #Functionalregression #Japan #Earlywarningsystem #Spacetimeprediction #spatialanalysis #spatiotemporal #massmovement #engineeringgeology #geomorphology #hydrogeomorphology #geomorphometry #remotesensing #geostatistics #model #modeling #mechanics #rainfall #threshold #precipitation #water #hydrology #risk #hazard #hazardassessment #terrain #landscape #landform #landuse #geology #soil #lithology #functionalGeneralizedAdditiveModel #FGAM #prediction #casestudy #AI #LLM

    #rainfallinduced #landslide #functionalregression #japan #earlywarningsystem #spacetimeprediction
  46. 💧🌏 Greg Cocks @[email protected] ·

    Sea Levels Rising Dramatically In Some Areas Due To Land Subsidence [global]
    --
    phys.org/news/2026-05-sea-area <-- shared technical article
    --
    doi.org/10.1038/s41467-026-722 <-- shared paper
    --
    [#VLM = vertical land motion; #ASL = absolute sea-level; #RSL = relative sea-level; #GIA = (global) Glacial Isostatic Adjustment; #inSAR = Interferometric Synthetic Aperture Radar; #GNSS = Global Navigation Satellite System (~GPS); #OE24 = paper, doi.org/10.1038/s41561-023-013, interpolated VLM reconstruction based on the joint analysis of GNSS, tide gauges (TGs), and satellite altimetry]
    #GIS #spatial #mapping #remotesensing #earthobservation #sealevel #verticallandmotion #absolutesealevel #relativesealevel #GlacialIsostaticAdjustment #geomorphometry #SLR #sealevelrise #coast #coastal #flood #flooding #subsidence #landmass #landsubsidence #global #globalsealevelrise #climatechange #city #urban #farmlands #population #demographics #cities #planning #community #elevation #monitoring #spatialanalysis #spatiotemporal #altimetry

    #vlm #asl #rsl #gia #insar #gnss
  47. 💧🌏 Greg Cocks @[email protected] ·

    Water Velocity And Discharge From Tidal Freshwater Creeks In Forested And Herbaceous Wetlands
    --
    doi.org/10.1007/s12237-026-016 <-- shared paper
    --
    #water #hydrology #tide #tidal #ecosystem #wildlife #fish #fisheries #nursery #nutrients #trophicenergy #discharge #ColumbiaRiver #Oregon #Washington #USA #fluvial #tidalfreshwater #TFW #habitat #restoration #flowregime # herbaceous #forested #wetland #marsh #aquatic #sediment #sedimentation #estuary #inundation #monitoring #measurement #velocity #discharge #volume #spatialanalysis #spatiotemporal #river #riverine #hydraulic #pluvial #precipitation #upstream #subtidal #wavelet #tidalcreek #AcousticDopplerCurrentProfiler #instrumentation #elevation #spatial #mapping

    #water #hydrology #tide #tidal #ecosystem #wildlife
  48. 💧🌏 Greg Cocks @[email protected] ·

    Half Of European Municipalities Have Fewer Inhabitants Than 60 Years Ago
    --
    correctiv.org/aktuelles/2026/0 <-- shared technical / spatiotemporal article
    --
    data.jrc.ec.europa.eu/dataset/ <-- shared European Joint Research Centre (JRC) ARDECO Local Population Time-Series – 1961-2024
    --
    #GIS #spatial #mapping #emptyspain #demographics #population #agingpopulation #declining #birthrate #immigration #emigration #shrinking #interactive #webmap #spatialanalysis #spatiotemporal #Europe #geostatistics #logistics #rural #urban #city #transportation #cost #economics #services #infrastructure #workers #qualityoflife #planning
    @JointResearchCentre #JRC @europeancommission @correctiv_org

    #gis #spatial #mapping #emptyspain #demographics #population
  49. 💧🌏 Greg Cocks @[email protected] ·

    A 481-Metre-High Landslide-Tsunami In A Cruise Ship–Frequented Alaska Fjord
    --
    doi.org/10.1126/science.aec3187 <-- shared paper
    --
    nytimes.com/2026/05/06/science <-- shared media article
    --
    #naturalhazard #glacier #glacial #melting #risk #hazard #climatechance #extremeweather #tsunami #runup #riskassessment #spatialanalysis #spatiotemporal #cryosphere #disaster #publicsafety #damage #infrastructure #Alaska #fjord #landslide #massmovement #engineeringeology #geology #cruiseship #humanimpacts #water #hydrology #caseexample #monitoring #coast #coastal #marine #wave #microseismicity #remotesensing #earthobservation #tourism #averteddisaster #readiness #awareness #planning #safety #deglaciating

    #naturalhazard #glacier #glacial #melting #risk #hazard
  50. 💧🌏 Greg Cocks @[email protected] ·

    Pan-European Assessment Of Coastal Flood Hazards
    --
    doi.org/10.5194/nhess-26-1859- <-- shared paper
    --
    #coast #coastal #flood #flooding #model #modeling #Europe #UK #naturalhazard #extremeweather #bathtub #dynamic #stormsurge #remotesensing #GIS #spatial #mapping #spatialanalysis #spatiotemporal #risk #hazard #assessment #water #hydrology #marine #hydrography #hydrograph #meansealevel #MSL #tides #waves #tidal #parameters #DEM #dynamicmodels #floodplain #literaturereview

    #coast #coastal #flood #flooding #model #modeling