#precipitation — Public Fediverse posts

Here's today's forecast map and today's high temperature map. Check out the NWS site for more National Forecast Maps www.weather.gov/forecastmaps
#weather #wx #Forecast #precipitation #Temperature #TheOutPost

Here's today's forecast map and today's high temperature map. Check out the NWS site for more National Forecast Maps www.weather.gov/forecastmaps
#weather #wx #Forecast #precipitation #Temperature #TheOutPost

Here's today's forecast map and today's high temperature map. Check out the NWS site for more National Forecast Maps www.weather.gov/forecastmaps
#weather #wx #Forecast #precipitation #Temperature #TheOutPost

Here's today's forecast map and today's high temperature map. Check out the NWS site for more National Forecast Maps www.weather.gov/forecastmaps
#weather #wx #Forecast #precipitation #Temperature #TheOutPost

Hydro-Climatic Extremes And Water Conflicts In The Kamala River Basin Of Nepal
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https://doi.org/10.1016/j.crm.2026.100871 <-- shared paper
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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

Widespread Landslide Activity in an Extreme Wet Season and Implications for Regional Sediment Management, Eastern San Francisco Bay Area, California
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https://doi.org/10.1029/2026EA005227 <-- shared paper
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H/T @amy East, Ph.D., P.G. | Researcher integrating geoscience and climate-change preparedness
“[This paper (link above) is] a collaboration with [the H/T’s] colleagues from [the] USGS Landslide Hazards Program, who mapped over 8,900 landslides in the eastern San Francisco Bay Area during an extreme wet winter.
How much sediment does such an extreme winter produce, from landslides or in stream discharge? How does that compare with long-term sediment production and landscape denudation rates?
[They] f[o]nd that landslide sediment mobilization is comparable to long-term denudation rates, emphasizing the role of extreme events in long-term sediment production. However, one extreme wet year has a negligible effect toward counteracting ongoing problems of sediment deficit in San Francisco Bay: to keep pace with sea-level rise, extreme wet conditions would need to occur in 50 out of the next 75 years…”
--
"PLAIN LANGUAGE SUMMARY: Watersheds will likely produce more sediment in a warmer future with more extreme rain, primarily through landslides in steep terrain. This study examines how an extremely wet season affected sediment production and transport in the eastern San Francisco Bay area, California. By mapping and measuring 8,928 landslides, [they] found that rare, extreme rain conditions are likely responsible for the vast majority of long-term hillslope erosion rates in this region. However, due to long residence times for sediment on hillslopes and in stream channels, a maximum of 1%–2% of that newly mobilized landslide material could have potentially contributed to sediment carried by streams into the Bay that year. Even extremely wet years cannot provide enough sediment for Bay wetlands and shorelines to keep pace with rising sea levels. To meet the demand for sediment in the Bay, such extreme rain and sediment production would need to occur in most years, which is not realistic. To restore wetlands and protect shorelines, managers likely will need to supplement the coastal system with repurposed dredged material…”
#massmovement #soil #water #hydrology #hydrography #geology #soils #geomorphometry #hydrogeomorphology #geomorphology #landslide #masswasting #climatechange #extremeweather #precipitation #rainfall #weather #climate #mapping #engineeringgeology #mapping #SanFrancisco #BayArea #USA #California #fedscience #fedservice #oublicgood #sediment #stream #discharge #extremewinter #sealevelrise #SLR #hillslope #erosion #sedimentation #tidal #wetlands #coast #coastline #shoreline #GIS #spatial #spatialanalysis #spatiotemporal #watershed
#USGS | #USGSLandslideHazardsProgram

Classification And Conceptualization Of Karst Recharge Processes Through Spectral And Change Point Analysis Of Drip Water Dynamics
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https://doi.org/10.1029/2025WR042816 <-- shared paper
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H/T @ Danyang Sun | UNSW-PhD student
“… [The authors] analysed one year of drip water monitoring data from 46 monitoring sites across six karst regions in southeastern Australia. By integrating fast Fourier analysis, cross-wavelet transform and change point analysis, [they] identified five characteristic recharge behaviours and developed a conceptual framework linking temporal drip dynamics with recharge mechanisms. [They] hope this framework will contribute to a better understanding of recharge heterogeneity in karst systems and support future groundwater research under a changing climate…”
#karst #Australia #water #hydrology #underground #subsurface #recharge #dynamics #spectral #changepoint #cave #dripwater #analysis #spatiotemporal #groundwater #research #climatechange #extremeweather #flow #storage #vadose #epikarst #watertable #aquifer #percolation #rainfall #precipitation #climate #lithology #geology #spatialanalysis

Modeling Flood Susceptibility Utilizing Advanced Ensemble Machine Learning Techniques in the Marand Plain [Iran]
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https://doi.org/10.3390/geosciences15030110 <-- shared paper
--
H/T @Geosciences MDPI
“This study applies advanced machine learning algorithms to map flood susceptibility in northwest Iran. The results demonstrate strong predictive performance, with the Locally Weighted Linear model delivering the highest accuracy and providing valuable guidance for flood-risk management and disaster mitigation…”
--
“Flooding is one of the most significant natural hazards in Iran, primarily due to the country’s arid and semi-arid climate, irregular rainfall patterns, and substantial changes in watershed conditions. These factors combine to make floods a frequent cause of disasters. In this case study, flood susceptibility patterns in the Marand Plain, located in the East Azerbaijan Province in northwest Iran, were analyzed using five machine learning (ML) algorithms: M5P model tree, Random SubSpace (RSS), Random Forest (RF), Bagging, and Locally Weighted Linear (LWL). The modeling process incorporated twelve meteorological, hydrological, and geographical factors affecting floods at 485 identified flood-prone points. The data were analyzed using a geographic information system, with the dataset divided into 70% for training and 30% for testing to build and validate the models. An information gain ratio and multicollinearity analysis were employed to assess the influence of various factors on flood occurrence, and flood-related variables were classified using quantile classification. The frequency ratio method was used to evaluate the significance of each factor. Model performance was evaluated using statistical measures, including the Receiver Operating Characteristic (ROC) curve. All models demonstrated robust performance, with an area under the ROC curve (AUROC) exceeding 0.90. Among the models, the LWL algorithm delivered the most accurate predictions, followed by RF, M5P, Bagging, and RSS. The LWL-generated flood susceptibility map classified 9.79% of the study area as highly susceptible to flooding, 20.73% as high, 38.51% as moderate, 29.23% as low, and 1.74% as very low. The findings of this research provide valuable insights for government agencies, local authorities, and policymakers in designing strategies to mitigate flood-related risks. This study offers a practical framework for reducing the impact of future floods through informed decision-making and risk management strategies…”
#FloodSusceptibility #FloodRisk #MachineLearning #GIS #NaturalHazards #DisasterManagement #FloodModeling #Hydrology #EnvironmentalMonitoring #RiskAssessment #GeospatialAnalysis #ClimateResilience #GIS #spatial #mapping #Iran #MarandPlain #EastAzerbaijan #machinelearning #AI #floodhazard #floodvulnerability #flood #flooding #water #hydrography #hydrology #model #modeling #risk #hazard #rainfall #precipitation #extremeweather #spatialanalysis #spatiotemporal #modelperformance #policy #planning #mitigation #design #riskmanagement

Modeling Flood Susceptibility Utilizing Advanced Ensemble Machine Learning Techniques in the Marand Plain [Iran]
--
https://doi.org/10.3390/geosciences15030110 <-- shared paper
--
H/T @Geosciences MDPI
“This study applies advanced machine learning algorithms to map flood susceptibility in northwest Iran. The results demonstrate strong predictive performance, with the Locally Weighted Linear model delivering the highest accuracy and providing valuable guidance for flood-risk management and disaster mitigation…”
--
“Flooding is one of the most significant natural hazards in Iran, primarily due to the country’s arid and semi-arid climate, irregular rainfall patterns, and substantial changes in watershed conditions. These factors combine to make floods a frequent cause of disasters. In this case study, flood susceptibility patterns in the Marand Plain, located in the East Azerbaijan Province in northwest Iran, were analyzed using five machine learning (ML) algorithms: M5P model tree, Random SubSpace (RSS), Random Forest (RF), Bagging, and Locally Weighted Linear (LWL). The modeling process incorporated twelve meteorological, hydrological, and geographical factors affecting floods at 485 identified flood-prone points. The data were analyzed using a geographic information system, with the dataset divided into 70% for training and 30% for testing to build and validate the models. An information gain ratio and multicollinearity analysis were employed to assess the influence of various factors on flood occurrence, and flood-related variables were classified using quantile classification. The frequency ratio method was used to evaluate the significance of each factor. Model performance was evaluated using statistical measures, including the Receiver Operating Characteristic (ROC) curve. All models demonstrated robust performance, with an area under the ROC curve (AUROC) exceeding 0.90. Among the models, the LWL algorithm delivered the most accurate predictions, followed by RF, M5P, Bagging, and RSS. The LWL-generated flood susceptibility map classified 9.79% of the study area as highly susceptible to flooding, 20.73% as high, 38.51% as moderate, 29.23% as low, and 1.74% as very low. The findings of this research provide valuable insights for government agencies, local authorities, and policymakers in designing strategies to mitigate flood-related risks. This study offers a practical framework for reducing the impact of future floods through informed decision-making and risk management strategies…”
#FloodSusceptibility #FloodRisk #MachineLearning #GIS #NaturalHazards #DisasterManagement #FloodModeling #Hydrology #EnvironmentalMonitoring #RiskAssessment #GeospatialAnalysis #ClimateResilience #GIS #spatial #mapping #Iran #MarandPlain #EastAzerbaijan #machinelearning #AI #floodhazard #floodvulnerability #flood #flooding #water #hydrography #hydrology #model #modeling #risk #hazard #rainfall #precipitation #extremeweather #spatialanalysis #spatiotemporal #modelperformance #policy #planning #mitigation #design #riskmanagement

Modeling Flood Susceptibility Utilizing Advanced Ensemble Machine Learning Techniques in the Marand Plain [Iran]
--
https://doi.org/10.3390/geosciences15030110 <-- shared paper
--
H/T @Geosciences MDPI
“This study applies advanced machine learning algorithms to map flood susceptibility in northwest Iran. The results demonstrate strong predictive performance, with the Locally Weighted Linear model delivering the highest accuracy and providing valuable guidance for flood-risk management and disaster mitigation…”
--
“Flooding is one of the most significant natural hazards in Iran, primarily due to the country’s arid and semi-arid climate, irregular rainfall patterns, and substantial changes in watershed conditions. These factors combine to make floods a frequent cause of disasters. In this case study, flood susceptibility patterns in the Marand Plain, located in the East Azerbaijan Province in northwest Iran, were analyzed using five machine learning (ML) algorithms: M5P model tree, Random SubSpace (RSS), Random Forest (RF), Bagging, and Locally Weighted Linear (LWL). The modeling process incorporated twelve meteorological, hydrological, and geographical factors affecting floods at 485 identified flood-prone points. The data were analyzed using a geographic information system, with the dataset divided into 70% for training and 30% for testing to build and validate the models. An information gain ratio and multicollinearity analysis were employed to assess the influence of various factors on flood occurrence, and flood-related variables were classified using quantile classification. The frequency ratio method was used to evaluate the significance of each factor. Model performance was evaluated using statistical measures, including the Receiver Operating Characteristic (ROC) curve. All models demonstrated robust performance, with an area under the ROC curve (AUROC) exceeding 0.90. Among the models, the LWL algorithm delivered the most accurate predictions, followed by RF, M5P, Bagging, and RSS. The LWL-generated flood susceptibility map classified 9.79% of the study area as highly susceptible to flooding, 20.73% as high, 38.51% as moderate, 29.23% as low, and 1.74% as very low. The findings of this research provide valuable insights for government agencies, local authorities, and policymakers in designing strategies to mitigate flood-related risks. This study offers a practical framework for reducing the impact of future floods through informed decision-making and risk management strategies…”
#FloodSusceptibility #FloodRisk #MachineLearning #GIS #NaturalHazards #DisasterManagement #FloodModeling #Hydrology #EnvironmentalMonitoring #RiskAssessment #GeospatialAnalysis #ClimateResilience #GIS #spatial #mapping #Iran #MarandPlain #EastAzerbaijan #machinelearning #AI #floodhazard #floodvulnerability #flood #flooding #water #hydrography #hydrology #model #modeling #risk #hazard #rainfall #precipitation #extremeweather #spatialanalysis #spatiotemporal #modelperformance #policy #planning #mitigation #design #riskmanagement

Modeling Flood Susceptibility Utilizing Advanced Ensemble Machine Learning Techniques in the Marand Plain [Iran]
--
https://doi.org/10.3390/geosciences15030110 <-- shared paper
--
H/T @Geosciences MDPI
“This study applies advanced machine learning algorithms to map flood susceptibility in northwest Iran. The results demonstrate strong predictive performance, with the Locally Weighted Linear model delivering the highest accuracy and providing valuable guidance for flood-risk management and disaster mitigation…”
--
“Flooding is one of the most significant natural hazards in Iran, primarily due to the country’s arid and semi-arid climate, irregular rainfall patterns, and substantial changes in watershed conditions. These factors combine to make floods a frequent cause of disasters. In this case study, flood susceptibility patterns in the Marand Plain, located in the East Azerbaijan Province in northwest Iran, were analyzed using five machine learning (ML) algorithms: M5P model tree, Random SubSpace (RSS), Random Forest (RF), Bagging, and Locally Weighted Linear (LWL). The modeling process incorporated twelve meteorological, hydrological, and geographical factors affecting floods at 485 identified flood-prone points. The data were analyzed using a geographic information system, with the dataset divided into 70% for training and 30% for testing to build and validate the models. An information gain ratio and multicollinearity analysis were employed to assess the influence of various factors on flood occurrence, and flood-related variables were classified using quantile classification. The frequency ratio method was used to evaluate the significance of each factor. Model performance was evaluated using statistical measures, including the Receiver Operating Characteristic (ROC) curve. All models demonstrated robust performance, with an area under the ROC curve (AUROC) exceeding 0.90. Among the models, the LWL algorithm delivered the most accurate predictions, followed by RF, M5P, Bagging, and RSS. The LWL-generated flood susceptibility map classified 9.79% of the study area as highly susceptible to flooding, 20.73% as high, 38.51% as moderate, 29.23% as low, and 1.74% as very low. The findings of this research provide valuable insights for government agencies, local authorities, and policymakers in designing strategies to mitigate flood-related risks. This study offers a practical framework for reducing the impact of future floods through informed decision-making and risk management strategies…”
#FloodSusceptibility #FloodRisk #MachineLearning #GIS #NaturalHazards #DisasterManagement #FloodModeling #Hydrology #EnvironmentalMonitoring #RiskAssessment #GeospatialAnalysis #ClimateResilience #GIS #spatial #mapping #Iran #MarandPlain #EastAzerbaijan #machinelearning #AI #floodhazard #floodvulnerability #flood #flooding #water #hydrography #hydrology #model #modeling #risk #hazard #rainfall #precipitation #extremeweather #spatialanalysis #spatiotemporal #modelperformance #policy #planning #mitigation #design #riskmanagement

Modeling Flood Susceptibility Utilizing Advanced Ensemble Machine Learning Techniques in the Marand Plain [Iran]
--
https://doi.org/10.3390/geosciences15030110 <-- shared paper
--
H/T @Geosciences MDPI
“This study applies advanced machine learning algorithms to map flood susceptibility in northwest Iran. The results demonstrate strong predictive performance, with the Locally Weighted Linear model delivering the highest accuracy and providing valuable guidance for flood-risk management and disaster mitigation…”
--
“Flooding is one of the most significant natural hazards in Iran, primarily due to the country’s arid and semi-arid climate, irregular rainfall patterns, and substantial changes in watershed conditions. These factors combine to make floods a frequent cause of disasters. In this case study, flood susceptibility patterns in the Marand Plain, located in the East Azerbaijan Province in northwest Iran, were analyzed using five machine learning (ML) algorithms: M5P model tree, Random SubSpace (RSS), Random Forest (RF), Bagging, and Locally Weighted Linear (LWL). The modeling process incorporated twelve meteorological, hydrological, and geographical factors affecting floods at 485 identified flood-prone points. The data were analyzed using a geographic information system, with the dataset divided into 70% for training and 30% for testing to build and validate the models. An information gain ratio and multicollinearity analysis were employed to assess the influence of various factors on flood occurrence, and flood-related variables were classified using quantile classification. The frequency ratio method was used to evaluate the significance of each factor. Model performance was evaluated using statistical measures, including the Receiver Operating Characteristic (ROC) curve. All models demonstrated robust performance, with an area under the ROC curve (AUROC) exceeding 0.90. Among the models, the LWL algorithm delivered the most accurate predictions, followed by RF, M5P, Bagging, and RSS. The LWL-generated flood susceptibility map classified 9.79% of the study area as highly susceptible to flooding, 20.73% as high, 38.51% as moderate, 29.23% as low, and 1.74% as very low. The findings of this research provide valuable insights for government agencies, local authorities, and policymakers in designing strategies to mitigate flood-related risks. This study offers a practical framework for reducing the impact of future floods through informed decision-making and risk management strategies…”
#FloodSusceptibility #FloodRisk #MachineLearning #GIS #NaturalHazards #DisasterManagement #FloodModeling #Hydrology #EnvironmentalMonitoring #RiskAssessment #GeospatialAnalysis #ClimateResilience #GIS #spatial #mapping #Iran #MarandPlain #EastAzerbaijan #machinelearning #AI #floodhazard #floodvulnerability #flood #flooding #water #hydrography #hydrology #model #modeling #risk #hazard #rainfall #precipitation #extremeweather #spatialanalysis #spatiotemporal #modelperformance #policy #planning #mitigation #design #riskmanagement

Identifying Agricultural Consumptive-Use Patterns To Support Adaptive Water Management In California’s Santa Clara Valley Via Remote Sensing And Machine Learning
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https://doi.org/10.1371/journal.pwat.0000416 <-- shared paper
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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

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

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

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

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

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

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

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

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

South-central Pa. in prolonged drought despite slight improvement across U.S.

South-central PA remains in prolonged drought despite slight improvement across U.S. EAST. I’LL LET YOU KNOW WHEN SHOW…
#NewsBeep #News #US #USA #UnitedStates #UnitedStatesOfAmerica #Environment #april #Average #droughtcondition #inch #June #May #precipitation #prolongeddrought #rainchance #record #Science #slightimprovement #southcentralPA #southcentralPennsylvania #video #wgalnews
https://www.newsbeep.com/us/721369/

South-central Pa. in prolonged drought despite slight improvement across U.S.

South-central PA remains in prolonged drought despite slight improvement across U.S. EAST. I’LL LET YOU KNOW WHEN SHOW…
#NewsBeep #News #US #USA #UnitedStates #UnitedStatesOfAmerica #Environment #april #Average #droughtcondition #inch #June #May #precipitation #prolongeddrought #rainchance #record #Science #slightimprovement #southcentralPA #southcentralPennsylvania #video #wgalnews
https://www.newsbeep.com/us/721369/

[G]lobal Decline In Endorheic Basin Water Storages
--
https://doi.org/10.1038/s41561-018-0265-7 <-- shared paper
--
https://en.wikipedia.org/wiki/Endorheic_basin <-- 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

Decoupling Of Surface Water Storage From Precipitation In Global Drylands Due To Anthropogenic Activity
--
https://doi.org/10.1038/s44221-024-00367-7 <-- 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 Velocity And Discharge From Tidal Freshwater Creeks In Forested And Herbaceous Wetlands
--
https://doi.org/10.1007/s12237-026-01690-w <-- 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 Velocity And Discharge From Tidal Freshwater Creeks In Forested And Herbaceous Wetlands
--
https://doi.org/10.1007/s12237-026-01690-w <-- 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 Velocity And Discharge From Tidal Freshwater Creeks In Forested And Herbaceous Wetlands
--
https://doi.org/10.1007/s12237-026-01690-w <-- 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 Velocity And Discharge From Tidal Freshwater Creeks In Forested And Herbaceous Wetlands
--
https://doi.org/10.1007/s12237-026-01690-w <-- 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 Velocity And Discharge From Tidal Freshwater Creeks In Forested And Herbaceous Wetlands
--
https://doi.org/10.1007/s12237-026-01690-w <-- 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

Detecting Land Use And Land Cover Changes And Quantifying Soil Erosion And Sediment Export Using GIS And Remote Sensing In The GERD Catchment, Ethiopia
--
https://doi.org/10.1016/j.iswcr.2026.100657 <-- shared paper
--
https://infonile.org/en/2023/05/battling-for-survival-along-the-warming-source-of-the-blue-nile/ <-- shared technical media article
--
https://doi.org/10.1007/978-3-031-65241-7_4 <-- shared technical book chapter
--
https://doi.org/10.3390/rs8121020 <-- shared 2016 paper
--
#landuse #landcover #RUSLE #model #soil #erosion #sedimentation #GERD #catchment #NorthAfrica #Ethiopia #AbbayBasin #sustainability #landmanagement #agriculture #farmland #foodsecurity #water #hydrogology #reservior #watermanagement #watersecurity #waterresources #catchment #GrandEthiopianRenaissanceDam #BlueNile #hydrography #impoundment #GIS #spatial #mapping #remotesensing #earthobservation #thematic #spatialanalysis #spatiotemporal #landsat #elevation #DEM #CHIRPS #rainfall #precipitation #LULC #AI #forest #grazing #grassland #field #crops #cropland #waterbodies #urban #biophysical #risk #hazard #mitigation #soilquality

Karst Flash Floods - An Example From The Dinaric Karst (Croatia)
--
https://doi.org/10.5194/nhess-6-195-2006 <-- shared (older) paper
--
#flood #flooding #pluvial #fluvial #subsurface #risk #hazard #naturalhazard #disaster #flashflood #infrastructure #damage #building #destabilisation #foundations #karstburst #Marina #Dinaric #Croatia #extremeweather #climatechange #intense #prolonged #rainfall #precipitation #speed #fast #caves #conduits #fractures #aquifers #water #hydrology #groundwater #hydrogeology #waterpressure #sinkhole #subsidence #massmovement #landslide #monitoring #mapping #geology #engineeringgeology #hydroseismic #humanimpacts #lossoflife #death #karstterrain #springs #debris #sediment #cavities #riskassessment #Grazalema #Andalusia #Cadíz #Spain #StormLeonard #emergencymanagement #planning

Detection And Spatial Modelling Of Trends In UK Rainfall Frequency
--
https://doi.org/10.1080/02626667.2026.2622458 <-- shared paper
--
#GIS #spatial #mapping #extremeweather #rainfall #pluvial #frequency #trends #nonstationarity #extremevalue #model #modeling #monitoring #UnitedKingdom #UK #Britian #England #Scotland #Wales #precipitation #spatialanalysis #spatiotemporal #drainage #monitoring #planning #resilience #naturalhazards #flooding #flood #water #hydrology # #sewerage #sewage #wastewater #waterways #pollution #spills #releases #stormwater #erosion #massmovement #landslides #engineeringgeology #risk #hazard #climatic #covariates #raingauges #maximums #duration #winter #NorthernEngland #NorthAtlanticOscillation #NAO #index #metrics #annualmaximum #AMAX #seasonalmaximum #SMAX #peaksoverthreshold #POT #statistics #geostatistics #MetOffice #weather #climate

Fatal Debris Avalanche On An Anthropogenically Disturbed, Earthquake-Perturbed Slope During Antecedent Rainfall [Turkey]
--
https://doi.org/10.1007/s10346-026-02713-0 <-- shared paper
--
https://eos.org/thelandslideblog/gungoren-hillslope-1 <-- shared technical article
--
https://geohazard.itu.edu.tr/en/news-detail/2025/01/23/could-the-g%C3%BCng%C3%B6ren-arhavi-%28artvin%29-landslide-be-predicted <-- shared technical article
--
https://zenodo.org/records/14625940 <-- shared technical article/paper
--
#rainfall #precipitation #pluvial #massmovement #monitoring #Turkey #Türkiye #Güngören #Artvin #remotesensing #earthobservation #GIS #spatial #mapping #LiDAR #UAV #InSAR #radar #spatialanalysis #spatiotemporal #massmovement #risk #hazard #geology #landslide #engineeringgeology #anthropogenic #humnacimpacts #manmade #quarry #highway #stability #earthquake #trigger #slopestability #naturalhazard #disaster #debrisflow #fatal #lossoflife #publicsafety #fieldwork #model #failure #geomorphology #kinematic #geomorphometry #creeping #extremeweather #multiple #recurrence #progressive #groundmotion #susceptibility

Northern Hemisphere Wintertime Teleconnections from the 2023–24 El Niño Offset by Background SST Trends
--
https://doi.org/10.1175/JCLI-D-25-0227.1 <-- shared paper
--
https://doi.org/10.1029/2024GL108946 <-- shared paper
--
#USA #Canada #NorthAmerica #Mexico #NorthernEurope #PacificOcean #ElNiño #ElNino #pluvial #precipitation #rainfall #snow #weather #climate #humanimpacts #model #modeling #spatial #spatialanalysis #spatiotemporal #atmosphere #extremeweather #CONUS #California #atmosphericriver #AtlanticOcean #IndianOcean #tropical #ENSO #winter #ocean #trend #teleconnections #seasurfacetemperature #SST #atmospheric #climatechange #natural #anthropogenic #noaa #NSF
#NationalCenterforAtmosphericResearch

Multi-Disciplinary Reconstruction Of Debris Flow Events And Dynamics In The Northern Apennines, Italy - A Multiscale Approach Linking Ground Evidence With Climatic Triggers
--
https://doi.org/10.1016/j.catena.2025.109708 <-- shared paper
--
#GIS #spatial #mapping #engineeringgeology #massmovement #geology #landslide #debrisflow #multidisciplinary #geomorphology #pluvial #precipitation #dendrogeomorphological #treerings #dendrochronology #dating #chronology #reconstruction #geomorphmetry #processmodel #flowchart #spatialanalysis #spatiotemporal #mountains #orthophotos #historicphotos #geopedology #soil #hydraulic #alpedisucciso #trees #vegatation #downslope #risk #hazard #assessment #remotesensing #water #hydrology #rainfall #records #NorthernApennines #susceptibility #Italy

Master Gardener: The good and bad of snow in your garden | Lifestyles https://www.allforgardening.com/1546639/master-gardener-the-good-and-bad-of-snow-in-your-garden-lifestyles/ #AppliedAndInterdisciplinaryPhysics #clouds #EarthPhenomena #EarthSciences #FogAndPrecipitation #FormsOfWater #frost #garden #gardener #gardening #hail #ice #IceCrystal #MeteorologicalPhenomena #meteorology #nature #PhysicalGeography #precipitation #snow #snowflake #tree #WaterIce #WilsonBentley #WinterPhenomena

Advancing Compound Flood Modeling to Evaluate Coastal Protection Benefits of Natural Infrastructure
--
https://coastalscience.noaa.gov/news/advancing-compound-flood-modeling-to-evaluate-coastal-protection-benefits-of-natural-infrastructure/ <-- shared technical article
--
https://doi.org/10.1016/j.scitotenv.2024.173529 <-- shared paper
--
#flood #flooding #literaturesearch #compilation #coast #coastal #coastalengineering #mitigation #planning #management #framework #model #modeling #infrastructure #natural #barrier #rainfall #precipitation #climatechange #river #discharge #stormsurge #sealevel #seallevelrise #waves #tides #compoundflooding #humanimpacts #communities #publicsafety #cost #loss #economics #fedscience #fedservice #hydrology #water #marine #ocean #hydraulic #hydrodynamic #biology #ecosystems #vegetation #sedimentation #erosion #GIS #spatial #mapping #spatialanalysis #regional #local #forecasting #preparation #enduser #usecase #publicwarnings #marsh #sawmp #mangrove
@NOAA | @NOAA Ocean | @NOAA Centers for Coastal Ocean Science

Inter-Basin Groundwater Flow In West-Central Florida
--
https://doi.org/10.1016/j.jhydrol.2025.133423 <-- shared paper
--
https://fl.water.usgs.gov/floridan/intro.html <-- shared USGS overview page, Floridan Aquifer System Groundwater Availability
--
“HIGHLIGHTS
• The regional pattern of IGF in west-central Florida is dominated by the characteristics of the Upper Floridan Aquifer.
• IGF plays a major role in the available water for partitioning and watershed aridity index.
• Groundwater pumping affects IGF, and the change in IGF counteracts the human impact on available water..."
#GIS #spatial #mapping #groundwater #spatialanalysis #spatiotemporal #Florida #USA #waterresources #waterquality #watersecurity #regional #model #modeling #HSPF #MODFLOW #geology #sedimentology #hydrogeology #aquifer #runoff #discharge #watershed #precipitation #climate #aridity #index #pumping #humanimpacts #anthropogenic #watersupply

Ancient Lakes And Rivers Unearthed In Arabia's Vast Desert
--
https://phys.org/news/2025-04-ancient-lakes-rivers-unearthed-arabia.html <-- shared technical article
--
https://doi.org/10.1038/s43247-025-02224-1 <-- shared paper
--
#GIS #spatial #mapping #water #hydrology #quaternary #desert #geomorphology #landforms #geomorphometry #Arabia #climatechange #RubalKhali #SaudiArabia #holocene #model #modeling #spatialanalysis #spatiotemporal #earthsystemmodel #geology #lacustrine #fluvial #sediments #sedimentary #flood #flooding #lakes #AfricanMonsoon #rivers #paleohydrology #stratigraphy #remotesensing #landsat #earthobservation #dating #delta #cliff #terrace #rainfall #precipitation

Hydrogeologic Investigation, Framework, And Conceptual Flow Model Of The Antlers Aquifer, Southeastern Oklahoma, 1980–2022
--
https://doi.org/10.3133/sir20255013 <-- shared USGS publication
--
https://waterdata.usgs.gov/nwis <-- shared USGS National Water Information System (NWIS) database
--
https://doi.org/10.5066/P14C6QFS <-- shared associated USGS open data release
--
#GIS #spatial #mapping #fedscience #water #hydrology #wateresources #pump #pumping #groundwater #AntlersAquifer #aquifer #Oklahoma #model #flow #test #flowmodel #yield #wateruse #watersecurity #climate #weather #recharge #precipitation #rainfall #TDS #waterquality #ions #potentiometric #geology #monitoring #planning #regulatory #agriculture #farming #cropland #spatialanalysis #spatiotemporal #fedscience
@USGS

The system that moves #water around the #Earth is off balance for the first time in human history

The #WaterCycle refers to the complex system by which water moves around the Earth.

By Laura Paddison, CNN
Published Oct 17, 2024

"Humanity has thrown the global water cycle off balance 'for the first time in human history,' fueling a growing water disaster that will wreak havoc on economies, #FoodProduction and lives, according to a landmark new report.

"Decades of destructive #LandUse and #WaterMismanagement have collided with the human-caused #ClimateCrisis to put 'unprecedented stress' on the global water cycle, said the report published Wednesday by the Global Commission on the Economics of Water, a group of international leaders and experts.

"The water cycle refers to the complex system by which water moves around the Earth. Water evaporates from the ground — including from lakes, rivers and plants — and rises into the atmosphere, forming large rivers of water vapor able to travel long distances, before cooling, condensing and eventually falling back to the ground as rain or snow.

"Disruptions to the water cycle are already causing suffering. Nearly 3 billion people face #WaterScarcity. #Crops are shriveling and cities are sinking as the groundwater beneath them dries out.

"The consequences will be even more catastrophic without urgent action. The water crisis threatens more than 50% of global food production and risks shaving an average of 8% off countries’ GDPs by 2050, with much higher losses of up to 15% projected in low-income countries, the report found.

'“For the first time in human history, we are pushing the global water cycle out of balance,' said Johan Rockström, co-chair of the Global Commission on the Economics of Water and a report author. '#Precipitation, the source of all #freshwater, can no longer be relied upon.'

"The report differentiates between '#BlueWater,' the liquid water in #lakes, #rivers and #aquifers, and '#GreenWater,' the moisture stored in #soils and #plants.

"While the supply of green water has long been overlooked, it is just as important to the water cycle, the report says, as it returns to the atmosphere when plants release water vapor, generating about half of all rainfall over land.

"Disruptions to the water cycle are 'deeply intertwined' with climate change, the report found.

"A stable supply of green water is vital for supporting vegetation that can store planet-heating #carbon. But the damage humans inflict, including destroying #wetlands and tearing down #forests, is depleting these carbon sinks and accelerating #GlobalWarming. In turn, climate change-fueled heat is drying out landscapes, reducing moisture and increasing [#wildfire] risk.

"The crisis is made more urgent by the huge need for water. The report calculates that, on average, people need a minimum of about 4,000 liters (just over 1,000 gallons) a day to lead a 'dignified life,' far above the 50 to 100 liters the United Nations says is needed for basic needs, and more than most regions will be able to provide from local sources.

"Richard Allan, a climate science professor at Reading University, England, said the report 'paints a grim picture of human-caused disruption to the global water cycle, the most precious natural resource that ultimately sustains our livelihoods.'

"Human activities 'are altering the fabric of our land and the air above which is warming the climate, intensifying both wet and dry extremes, and sending wind and rainfall patterns out of kilter,' added Allan, who was not involved in the report.

"The crisis can only be addressed through better management of natural resources and massive cuts in planet-heating pollution, he told CNN.
"The report’s authors say world governments must recognize the water cycle as a '#CommonGood' and address it collectively. Countries are dependent on each other, not only through lakes and rivers that span borders, but also because of water in the atmosphere, which can travel huge distances — meaning decisions made in one country can disrupt rainfall in another.

"The report calls for a 'fundamental regearing of where water sits in economies,' including better pricing to discourage wastefulness and the tendency to plant water-thirsty crops and facilities, such as #DataCenters, in water-stressed regions."

Read more:
https://www.accuweather.com/en/climate/the-system-that-moves-water-around-the-earth-is-off-balance-for-the-first-time-in-human-history/1704688

#WaterIsLife #ClimateCatastrophe #AI #WaterUsage #Cryptocurrency #Climate #Weather #WorldWeather

Severe Droughts Reduce River Navigability And Isolate Communities In The Brazilian Amazon
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https://doi.org/10.1038/s43247-024-01530-4 <-- shared paper
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https://phys.org/news/2024-07-severe-droughts-limit-amazonian-communities.html <-- shared technical article
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#GIS #spatial #mapping #Brazil #Amazon #Amazonian #drought #spatialanalysis #spatiotemporal #reporting #media #climatechange #climate #hydrology #water #precipitation #waterresources #watersecurity #navigation #transportation #trade #river #riverine #extremeweather #firstnation #tribes #indigenous #subsidence #settlements #communities #gauge #publichealth #disasterresponse #mitigation #planning

Is the Atlantic Overturning Circulation Approaching a Tipping Point? By Stefan Rahmstorf (Open Access PDF)
>>
https://tos.org/oceanography/article/is-the-atlantic-overturning-circulation-approaching-a-tipping-point

Tipping risk of the Atlantic Ocean's overturning circulation, AMOC. Keynote by Prof. Rahmstorf in Vilnius in May 2024.
"No one has taken account of all the melting ice sheets"
>>
https://www.youtube.com/watch?v=ZHNNW8c_FaA
#FossilFuels #ocean #climate #instability #AMOC #Cryosphere #MeltingGlaciers #precipitation #TippingPoints #PrecautionaryPrinciple #harm

Beach Erosion Will Make Southern California Coastal Living Five Times More Expensive By 2050, Study Predicts | Shoreline Retreat And Beach Nourishment Are Projected To Increase In Southern California
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https://phys.org/news/2024-05-beach-erosion-southern-california-coastal.html <-- shared technical article
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https://doi.org/10.1038/s43247-024-01388-6 <-- shared paper
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#GIS #spatial #mapping #remotesensing #spatialanalysis #spatiotemporal #coastal #morphology #erosion #sandy #beaches #shoreline #retreat #California #model #modeling #climatechange #precipitation #urbangrowth #urban #mitigation #forecast #nourishment #engineering #coastalengineering #photogrammetry #coast #survey #change #rates #economy #economiccost #logistics #coastalhazards #risk #hazard

How Freeing Rivers Can Help California Ease Flood Risks And Revive Ecosystems
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https://www.latimes.com/environment/story/2024-02-20/california-floodplain-restoration <-- shared media article
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#GIS #spatial #mapping #hydrology #water #california #centralvalley #rivers #floodplains #naturalsystems #flood #flooding #levees #engineering #engineeredstructures #soil #fertility #diosriosranch #modesto #treeplanting #trees #vegetation #habitat #habitatrestoration #ecosystems #ecosystemrestoration #runoff #infiltration #naturalsystems #storms #extremeweather #climatechange #rain #rainfall #precipitation #droughts #waterresources

Quantifying Sediment Deposition Volume In Vegetated Areas With UAV Data
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https://doi.org/10.3390/rs13122391 <-- shared paper
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#GIS #spatial #mapping #sediment #deposition #UAV #drone #drones #remotesensing #flooding #flood #debrisflow #DEM #elevation #extremeevents #naturalhazard #extremeweather #hydrometeorology #risk #hazard #massmovement #soil #erosion #engineeringgeology #geomorphology #geomorphometry #damage #economicloss #survey #costs #tropical #Dominica #landslide #HurricaneMaria #hurricane #rainfall #precipitation #flashflooding #hydrology #water #alluvialfan #river #channel #LiDAR #volumes #cleanup #floodlevel #DTM #model #modeling #vegetation #prediction

Oh, in my post yesterday (https://scicomm.xyz/@glennmagusharvey/110946425890363846) I forgot to give the links to #ClimateInteractive's #EnROADS simulator and #ProbableFutures's maps. Here they are (both resources are free!):

En-ROADS: https://www.climateinteractive.org/en-roads/

En-ROADS tutorial: https://docs.climateinteractive.org/projects/en-roads/en/latest/guide/tutorial.html

Probable Futures: https://probablefutures.org/ - click "explore the maps" to see the maps

#mapping #climate #ClimatePolicy #EnvironmentalPolicy #ClimateChange #GlobalWarming #EnergyPolicy #Energy #heat #precipitation #drought

#ClimateInteractive and #ProbableFutures presented today about how the #EnROADS #climate scenario simulator can be used with PF's 22.5km-resolution maps of #GlobalWarming impacts for 0.5°C to 3.0°C (above 1850-1900 global avg surface #temperature).

In short, you can use En-ROADS to simulate various mixes of climate/#energy/#EnvironmentalPolicy & see how much #ClimateChange you get, then use PF's maps to see how it affects a given place: temperature, #precipitation, #drought, #wildfire, etc.

Water Availability Creates Global Thresholds In Multidimensional Soil Biodiversity And Functions
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https://www.nature.com/articles/s41559-023-02071-3 <-- shared paper
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#GIS #spatial #water #mapping #water #hydrology #biogeography #phylogeography #geography #global #environmental #biodiversity #productivity #agricultural #agriculture #farming #plant #microbe #soilscience #soilhealth #soil #soilfertility #soilconservation #soilmanagement #ecosystems #EnvironmentalThresholds #survey #fieldsurvey #climate #vegetation #watermanagement #waterconservation #rainfall #precipitation #EV #evaporation #evapotranspiration #biogeochemical #geochemical #bacteria #fungi #protists #invertebrates #model #modeling #soilcarbonsequestration #wateravailability #sustainable