#precipitation — Public Fediverse posts on home.social

MLB News @[email protected] · 2026-09-12 · 20:33 UTC

Weather: Rain arrives later Saturday in the Baltimore area https://www.rawchili.com/mlb/803417/ #afternoon #alerts #Atlantic #Ava #Baltimore #BaltimoreOrioles #BaltimoreOrioles #Baseball #chances #changing #forecast #Local #marie #maryland #meteorologist #mid #MLB #news #Orioles #outdoor #plans #precipitation #rain #saturday #showers #storm #timing #update #video #WBAL #weather #weekend

#weekend #weather #wbal #video #update #timing

MLB News @[email protected] · 2026-09-12 · 20:33 UTC

Weather: Rain arrives later Saturday in the Baltimore area https://www.rawchili.com/mlb/803417/ #afternoon #alerts #Atlantic #Ava #Baltimore #BaltimoreOrioles #BaltimoreOrioles #Baseball #chances #changing #forecast #Local #marie #maryland #meteorologist #mid #MLB #news #Orioles #outdoor #plans #precipitation #rain #saturday #showers #storm #timing #update #video #WBAL #weather #weekend

#afternoon #alerts #atlantic #ava #baltimore #baltimoreorioles

💧🌏 Greg Cocks @[email protected] · 2026-09-11 · 03:23 UTC

A Scalable Cloud-Native Framework for Satellite Rainfall-Driven Landslide Early Warning in Data-Scarce Regions
--
https://doi.org/10.5194/egusphere-2026-4588 <-- shared technical article
--
https://ee-yunuscool.projects.earthengine.app/view/alert-app <-- shared web map based ALERT, Automated Landslide Early Risk Tracker
--
https://doi.org/10.1186/s40677-022-00218-1 <-- shared paper
--
H/T @ Yunus Ali Pulpadan | Assistant Professor at Indian Institute of Science Education and Research (IISER), Mohali
“[The authors] are excited to share ALERT — the Automated Landslide Early Risk Tracker, a cloud-native framework and web application developed to support near-real-time, impact-based assessment of rainfall-triggered landslide hazards.
ALERT integrates multiple components within a single scalable framework:
🛰️ Satellite-based rainfall observations
🌦️ Operational weather forecasts
🗺️ Terrain susceptibility information
📈 Rainfall intensity–duration thresholds
🏔️ Debris-flow runout modelling
🏘️ Building exposure
The goal is to move beyond simply identifying intense rainfall and towards understanding where hazardous conditions may trigger landslides and what may lie in the potential path of downstream impacts. A particular motivation behind ALERT is the challenge of developing landslide early-warning capabilities in data-scarce mountainous regions, where dense rain-gauge networks and operational monitoring infrastructure are often limited. The framework incorporates a catalogue of rainfall thresholds while also allowing users to integrate their own thresholds and susceptibility information, making it adaptable across different climatic and geomorphological settings…”
#GIS #spatial #mapping #AI #deeplearning #massmovement #landslide #engineeringgeology #water #precipitation #rainfall #earlywarning #remotesensing #earthobservation #global #webmap #dataportal #risk #hazard #infrastructure #building #weather #forecasting #imagery #debrisflow #model #modeling #ALERT #opendata #climate #geology hydrogeomorphology geomorphology public safety global #regional

#gis #spatial #mapping #ai #deeplearning #massmovement

💧🌏 Greg Cocks @[email protected] · 2026-09-11 · 03:19 UTC

Sub-Seasonal Forecasting Of Cropland Productivity Anomalies Using Satellite Soil Moisture In Water-Limited Environments
--
https://doi.org/10.1016/j.rse.2026.115645 <-- shared paper
--
H/T @Adebowale Daniel Adebayo | Doctoral Candidate | Geospatial Data Scientist
“When rainfall fails and evaporative demand climbs, root-zone soil moisture is where the deficit registers first and where it carries forward, weeks before crop condition reflects it. In this study [link above], [the authors] used SMAP root-zone soil moisture to forecast crop productivity anomalies across drought-prone croplands of Eastern and Southern Africa, and [they] quantified how much predictive value soil moisture actually carries, over what lead times, and under which hydroclimatic conditions. The contribution of soil moisture was negligible at short leads but grew steadily out to 40 days, and it concentrated in water-limited croplands where soil moisture and vegetation are most tightly coupled. During the 2024 southern African El Niño drought, the soil moisture informed model resolved the spatial pattern of productivity anomalies roughly a month in advance.
Beyond the results themselves, this work is a pointer to how much predictive information soil moisture holds. Leveraging the temporal record of SMAP-related products together with the 100–200 metre resolution NISAR will deliver gives us, [believes the H/T], a clear path to attempt field-scale drought forecasting in the smallholder landscapes where early warning matters most…”
#agriculture #crops #foodsecurity #cropland #productivity #forecasting #rootzone #soilmoisture #SMAP #NIRV #subseasonal #prediction #EasternAfrica #SouthernAfrica #africa #vegetation #anomaly #precipitation #ET #drought #extremeweather #water #hydrology #hydroclimate #productivity #arid #waterlimited #spatialanalysis #spatiotemporal #model #modeling #vegetation #Africa #ElNino #ElNiño #mitigation #prediction #forecast #smallholders #earlywarning #RZSM #SoilMoistureActivePassive #NearInfraredReflectance #NIR #remotesensing #earthobservation

#agriculture #crops #foodsecurity #cropland #productivity #forecasting

💧🌏 Greg Cocks @[email protected] · 2026-08-27 · 14:37 UTC

Hydro-Climatic Extremes And Water Conflicts In The Kamala River Basin Of Nepal
--
https://doi.org/10.1016/j.crm.2026.100871 <-- shared paper
--
https://jvs.org.np/news/%22kamala-river-basin-20-year-water-management-strategy <-- shared 2024 technical article on planning and policy (from JVS, a Nepalese non-profit driving water resilience)
--
[My sincere thoughts to those on those the Nepal/Tibet border so very effected by the recent GLOF-style flooding; the loss of your family and friends – and ‘things’ – must be so very hard!
May the missing individuals return safely. 🙏]
H/T @ Prakriti Niraula | Researcher at Kathmandu University School of Arts | Urban FutureScape Pilot Project | Urban Governance | Climate and Disaster Resilience | Development Researcher
“What happens when communities face 'too much water' during the monsoon and 'too little water' during the dry season? [Their] research in Dudhauli and Siraha municipalities [Nepal] shows that floods and droughts are not merely environmental challenges; rather, they interact with existing inequalities and vulnerabilities, intensifying conflicts over water and land resources.
From upstream-downstream tensions following flood damage and changing water flows to competition over wells and handpumps during periods of scarcity, the findings show that hydro-climatic extremes often act as amplifiers of existing social, economic, and political vulnerabilities.
The study underscores the importance of moving beyond managing climatic hazards alone towards conflict-sensitive and equitable water governance that addresses structural inequalities, strengthens local adaptive capacities, and supports fair water allocation and conflict resolution…”
#climatechange #flood #flooding #drought #monsoon #precipitation #rainfall #snowmelt #dryseason #socialconflict #KamalaRiver #basin #Dudhauli #Siraha #Nepal #hydroclimate #waterresources #risk #hazard #watersecurity #hydrosocial #exteremeweather #environment #inequality #vulnerable #socioeconomic #conflict #groundwater #water #hydrology #hydrography #hydroclimate #extremes #social #economic #political #watergovernance #watermanagement #localcommunities #conflictresolution

#climatechange #flood #flooding #drought #monsoon #precipitation

💧🌏 Greg Cocks @[email protected] · 2026-08-27 · 14:34 UTC

Mapping Flood Agents In The Northern Pantanal Wetland Using Multiple Spatio-Temporal GIS And Remote Sensing Techniques
--
https://doi.org/10.1007/s13157-026-02082-3 <-- 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

💧🌏 Greg Cocks @[email protected] · 2026-08-04 · 04:55 UTC

[Open] Data Related To Flood Mapping [Canada]
--
https://natural-resources.canada.ca/science-data/science-research/natural-hazards/flood-mapping/data-related-flood-mapping <-- shared link to technical details
--
https://app.geo.ca/en-ca/map-browser/record/a13a2575-5bda-4bfd-a9b1-5bd2dd583f09 <-- shared map/data-portal link, Canada Flood Map Inventory (CFM)
--
https://open.canada.ca/data/en/dataset/1074f781-85d3-4c86-86cb-fd1c339197dc <-- shared data-portal link, Canada Flood Susceptibility Index
--
https://doi.org/10.3390/ECWS-7-14235 <-- shared (2023) paper
--
https://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

💧🌏 Greg Cocks @[email protected] · 2026-08-04 · 04:44 UTC

Identifying Agricultural Consumptive-Use Patterns To Support Adaptive Water Management In California’s Santa Clara Valley Via Remote Sensing And Machine Learning
--
https://doi.org/10.1371/journal.pwat.0000416 <-- shared paper
--
H/T @Guillaume Wright | Executive Editor, PLOS
“💧 With drought [and high temperatures] gripping many areas of the world right now... [the H/T] wanted to highlight a new paper in PLOS Water this week with a very timely focus on hydroclimatic stresses and what can be done to mitigate this through water management practices when it comes to agriculture.
[The authors] investigate[d] adaptive water management practices in California’s Santa Clara Valley via remote sensing and machine learning techniques. They [found] good evidence for use of customized agricultural water-management plans for irrigation monitoring, conservation planning, and adaptive water management in groundwater-dependent regions such as is found in California…”
#GIS #spatial #mapping #California #SantaClara #SantaClaraValley #custom #watermanagement #practices #waterresources #agriculture #remotesensing #spatialanalysis #machinelearning #earthobservation #AI #planning #wateruse #efficiency #water #hydrology #irrigation #conservation #adaptivewatermanagement #model #modeling #drought #extremeweather #hydroclimate #stress #crop #cropland #evapotranspiration #ET #NDVI #PRISM #precipitation #rainfall #watermanagementplan #groundwater

#gis #spatial #mapping #california #santaclara #santaclaravalley

💧🌏 Greg Cocks @[email protected] · 2026-07-31 · 05:27 UTC

Unraveling The Drivers Of Water Shortage Across Spatial Scales And Sectors In Colorado's West Slope River Basins
--
https://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

💧🌏 Greg Cocks @[email protected] · 2026-07-22 · 03:01 UTC

Can Himalayan Crops Help Secure The Future Of Food?
(Exploring how genomic diversity, traditional crops, and regional cooperation can strengthen climate resilience and food security across the Hindu Kush Himalaya [HKH])
--
https://substack.com/home/post/p-207443153 <-- shared technical post
--
https://openlibrary.substack.com/ <-- shared Substack, “Open Library on Green Economy”
--
https://adaptationwithoutborders.org/knowledge-base/adaptation-without-borders/shifting-cooperation-in-the-hindu-kush-himalaya/ <-- shared technical article, “Shifting cooperation in the [HKH]”
--
https://www.icimod.org/who-we-are/the-hindu-kush-himalaya/ <-- background on the HKH, International Centre for Integrated Mountain Development (ICIMOD)
--
https://doi.org/10.48130/cas-0026-0003 <-- shared paper
--
[not at all my technical area - but fascinating, including the spatial component #alldataisspatial]
H/T @jeevan Labh
“As we navigate the intensifying impacts of the 2026 El Niño, the vulnerability of our global food systems require careful evaluation. With this year’s erratic weather patterns driving severe, prolonged droughts in some regions and unseasonal, devastating floods in others, the climate crisis is proving that it is not a distant threat; it is happening right now, in our fields and on our plates.
This crisis is more visible in the Hindu Kush Himalaya (HKH) region. Often called the “water tower of Asia,” this vast mountain range sustains 240 million people across eight countries and provides essential ecosystem services to nearly 2 billion people downstream. When glaciers melt at accelerated rates and monsoons become unpredictable, the narrative often focuses solely on the mountain communities. But the truth is much broader: a disrupted harvest in the high hills of Nepal or Bhutan creates a domino effect. It leads to displaced populations, reduced agricultural output flowing into the Indus, Ganges, and Brahmaputra basins, and ultimately, skyrocketing food prices for families living in the sprawling downstream plains.
The climate crisis respects no borders and recognizes no difference between altitude and sea level. Because this problem affects us all, the solution must protect us all. Fortunately, the means to overcome this challenge are already in our hands, locked within the ancient seeds of the mountains…”
## #GreenEconomy #economy #monoculture #agriculture #farming #crop #cropland #HinduKushHimalaya #himalaya #mountain #HKH #spatial #mapping #elevation #climatechange #foodsecurity #food #extremeweather #weather #ElNiño #drought #rainfall #precipitation #snowmelt #climatecrisis #mountainrange #water #hydrology #ecosystem #glacier #moonsoons #community #harvest #Nepal #Bhutan #watersheds #watersecurity #risk #hazard #waterresources #genes #genomicdiversity #cooperation

#alldataisspatial #greeneconomy #economy #monoculture #agriculture #farming

💧🌏 Greg Cocks @[email protected] · 2026-07-14 · 02:51 UTC

Watching A #NOAA #Webinar on Flash Droughts
--
https://noaaresearch.webex.com/wbxmjs/joinservice/sites/noaaresearch/meeting/download/9b3e684d45ca47fc9469070eabd9a142?MTID=m2fa4a8af7bd8647fc48619af5eeecb5a <-- shared NOAA Summer Science Series individual webinar
--
https://www.drought.gov/what-is-drought/flash-drought <-- shared NOAA overview technical article
--
https://www.star.nesdis.noaa.gov/star/NOAAScienceSeminars.php <-- subscribe to the NOAA Summer Science Series
--
https://doi.org/10.1038/s41612-024-00618-0 <-- shared paper
--
https://communities.springernature.com/posts/the-prevalent-life-cycle-of-agricultural-flash-droughts <-- 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

💧🌏 Greg Cocks @[email protected] · 2026-07-09 · 05:34 UTC

Recent Upper Colorado River Streamflow Declines Driven by Loss of Spring Precipitation
--
http://dx.doi.org/10.1029/2024GL109826 <-- shared 2024 paper
--
https://www.sciencedaily.com/releases/2024/08/240816121501.htm <-- shared technical article
--
[it would be interesting to see the paper’s author’s updated views/analysis after the 2025/2026 (lack of) winter / record-low snowpack in the Rockies, feeding the Colorado R., etc]
#water #hydrology #waterresources #precipitation #snow #snowpack
#Colorado #ColoradoRiver #planning #allocation #aquifer #surfacewater #groundwater #vegetation #plant #phenology #watercycle #spring #rainfall #snowmelt #sublimation #hydrogeomorphology #runoff #infiltration #checkdams #engineering #keystone #species #beaver #wolf #herbivore #overgrazing #burrows #watertable #research #streamflow #evapotranspiration #restoration
@University of Washington

#water #hydrology #waterresources #precipitation #snow #snowpack

💧🌏 Greg Cocks @[email protected] · 2026-07-07 · 19:33 UTC

Comparative Hydro-Climatic Datasets For Catchment-Wise Linked Water Fluxes And Storage Changes Across South America
--
https://doi.org/10.3389/fenvs.2026.1764771 <-- shared paper
--
https://doi.org/10.1038/s43247-026-03661-2 <-- shared paper
--
https://doi.org/10.1002/joc.6443 <-- shared paper
--
https://www.pik-potsdam.de/en/news/latest-news/from-droughts-to-floods-climate-change-and-migration-in-peru | https://publications.iom.int/books/evaluacion-de-la-evidencia-cambio-climatico-y-migracion-en-el-peru <-- shared 2021 Peru hydroclimate technical article | report
--
https://youtu.be/Ngbm0gsmYAw?si=haqV7t15pGkEmJB8 <-- shared overview video
--
#water #GIS #spatial #mappping #spatialanalysis #spatiotemporal #remotesensing #earthobservation #Hydrology #Hydroclimatology #ClimateChange #extremeweather #WaterResources #WaterSecurity uncertainity #SouthAmerica #ClimateData #PeerReview #OpenScience #Hydrometeorology #opendata #datasets #rainfall #precipitation #fluvial #heatwave #temperature #changing #consistency #flood #flooding #drought #riskmanagement #risk #hazard #earthsystems #resilience #waterquality #waterpollution #model #modeling #monitoring #records #hydroclimate #hydrogeomorphology #review #SouthAmerica #planning #policy #sustainability #evapotranspiration #runoff #waterstorage #SAHCD

#water #gis #spatial #mappping #spatialanalysis #spatiotemporal

💧🌏 Greg Cocks @[email protected] · 2026-06-18 · 03:09 UTC

Hydroclimate Volatility On A Warming Earth
--
https://doi.org/10.1038/s43017-024-00624-z <-- shared 2025 paper
--
https://newsroom.ucla.edu/releases/floods-droughts-fires-hydroclimate-whiplash-speeding-up-globally <-- shared UCLA article, “Floods, Droughts, Then Fires: Hydroclimate Whiplash Is Speeding Up Globally “
--
H/T @Daniel Swain
“Hydroclimate volatility refers to sudden, large and/or frequent transitions between very dry and very wet conditions. In this Review, we examine how hydroclimate volatility is anticipated to evolve with anthropogenic warming. Using a metric of ‘hydroclimate whiplash’ based on the Standardized Precipitation Evapotranspiration Index, global-averaged subseasonal (3-month) and interannual (12-month) whiplash have increased by 31–66% and 8–31%, respectively, since the mid-twentieth century. Further increases are anticipated with ongoing warming, including subseasonal increases of 113% and interannual increases of 52% over land areas with 3 °C of warming; these changes are largest at high latitudes and from northern Africa eastward into South Asia. Extensive evidence links these increases primarily to thermodynamics, namely the rising water-vapour-holding capacity and potential evaporative demand of the atmosphere. Increases in hydroclimate volatility will amplify hazards associated with rapid swings between wet and dry states (including flash floods, wildfires, landslides and disease outbreaks), and could accelerate a water management shift towards co-management of drought and flood risks. A clearer understanding of plausible future trajectories of hydroclimate volatility requires expanded focus on the response of atmospheric circulation to regional and global forcings, as well as land–ocean–atmosphere feedbacks, using large ensemble climate model simulations, storm-resolving high-resolution models and emerging machine learning methods…
#water #hydrology #hydroclimate #whiplash #global #spatialanalysis #spatiotemporal #weatherwhiplash #ecogeomorphology #sustainability #ecology# ###
#water #hydrology #hydroclimate #volatility #dry #wet #drought #flood #flooding #wildfire #landslide #massmovement #whiplash #global #spatialanalysis #spatiotemporal #weatherwhiplash #ecogeomorphology #sustainability #ecology #hydrogeomorphology #climatechange #extremeweather #anthropogenicwarming #climate #weather #connection #StandardizedPrecipitationEvapotranspiration #precipitation #rainfall #research #evapotranspiration #risk #hazard #riskassessment #disease #pandemic #publichealth #publicsafety #waterquality #watersecurity #watermanagement #hydrography #atmospheric #regional #global #forcing #climatemodel #model #modeling #AI #machinelearning

#water #hydrology #hydroclimate #whiplash #global #spatialanalysis

💧🌏 Greg Cocks @[email protected] · 2026-06-09 · 15:13 UTC

On The Use Of Rainfall Time Series For Regional Landslide Prediction By Means Of Functional Regression
--
https://doi.org/10.1016/j.enggeo.2026.108860 <-- 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

💧🌏 Greg Cocks @[email protected] · 2026-05-19 · 03:49 UTC

Multidecadal Reconstruction Of Terrestrial Water Storage Changes By Combining Pre-GRACE Satellite Observations And Climate Data
--
https://doi.org/10.5194/essd-18-1747-2026 <-- shared paper
--
https://doi.org/10.5281/zenodo.15827789 <-- reconstructed fields and corresponding uncertainty datasets
--
https://doi.org/10.5281/zenodo.16643628 <-- corresponding time series datasets
--
#GIS #spatial #mapping #remotesensing #earthobservation #GRACE #GRACEFO #water #hydrology #hydrography #waterresources #waterstorage #planning #monitoring #spatialanalysis #spatiotemporal #climatemodel #climatechange #extremeweather #regression #AI #machinelearning #rainfall #precipitation #remperatures #parameters #gravity #geodetic #satellite #orbitography #geomorphometry #DORIS #global #reconstruction #limitations #usecase

#gis #spatial #mapping #remotesensing #earthobservation #grace

RustyLMehlberg @[email protected] · 2026-05-18 · 22:27 UTC

NORTHLAND FORECAST FOR MAY 19, 2026:

A #storm system will bring widespread #showers and a few #thunderstorms through the #Northland Monday night with low #temperatures in the upper 30s and low 40s.

Tuesday will see the #precipitation move out and slowly #clearing skies. #Breezy northwest #winds will keep highs #cold for May standards in the 40s and low 50s.

VIDEO/DISCUSSION: fox21online.com/weather

#wxtooter #wx #weather #forecast #MNwx #WIwx #UPwx