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#hydrology — Public Fediverse posts

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

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  1. National Water Availability Assessment Data Companion Launches Interactive Map
    --
    water.usgs.gov/nwaa-data/ <-- shared USGS resource link
    --
    water.usgs.gov/nwaa-data/inter <-- shared USGS webmap
    --
    H/T @USGS NWDC
    “The National Water Availability Assessment Data Companion (NWDC) delivers national-scale modeled water data underlying the National Water Availability Assessment Report. The NWDC will be continuously updated to include new data used in future National Water Availability Assessment Reports, with planned reports in 2026 and 2030.
    The NWDC also serves information on underlying model methodologies, strengths, and limitations to enable proper use of the data…
    USGS scientific teams develop NWDC models to analyze and represent the complexities of water systems. These models fill gaps where USGS observations are unavailable, covering the conterminous United States (lower 48 states) and soon extending to Alaska, Hawaii, and Puerto Rico.
    All NWDC datasets currently cover past conditions over multiple decades, and are standardized to 12-digit [WBD] hydrologic unit code (HUC12) watersheds and monthly timesteps…”
    #opendata #monitoring #spatialanalysis #spatiotemporal #fedscience #publicgood #water #hydrology #waterresources #watermanagement #change #model #modeling #USA #NationalWaterAvailabilityAssessment #NWDC #CONUS #USGS #USGS_water
    @USGS

  2. National Water Availability Assessment Data Companion Launches Interactive Map
    --
    water.usgs.gov/nwaa-data/ <-- shared USGS resource link
    --
    water.usgs.gov/nwaa-data/inter <-- shared USGS webmap
    --
    H/T @USGS NWDC
    “The National Water Availability Assessment Data Companion (NWDC) delivers national-scale modeled water data underlying the National Water Availability Assessment Report. The NWDC will be continuously updated to include new data used in future National Water Availability Assessment Reports, with planned reports in 2026 and 2030.
    The NWDC also serves information on underlying model methodologies, strengths, and limitations to enable proper use of the data…
    USGS scientific teams develop NWDC models to analyze and represent the complexities of water systems. These models fill gaps where USGS observations are unavailable, covering the conterminous United States (lower 48 states) and soon extending to Alaska, Hawaii, and Puerto Rico.
    All NWDC datasets currently cover past conditions over multiple decades, and are standardized to 12-digit [WBD] hydrologic unit code (HUC12) watersheds and monthly timesteps…”

    @USGS

  3. How Do Thermocline Depth Maps Help To Locate Bluefin Tuna?
    (the sustainable recreational bluefin tuna fishery in New Zealand is spinning up)
    --
    fishingmaps.info/articles/blue <-- shared technical article
    --
    youtu.be/jit_BjecD1I?si=Ici-Ar <-- shared Marine Stewardship Council video, “How science guides sustainable tuna fishing…”
    --
    nzgeo.com/stories/billion-doll <-- shared technical media article
    --
    [this post should not be considered an endorsement of a particular product, approach, organisation or professional(s)]
    H/T @ Sam McClatchie | Rewired ex-NOAA Fisheries Oceanographer. Creator of Fishing Maps. Now based in Huia, near Auckland, New Zealand.
    “The vertical structure of the upper ocean has a big effect on the productivity and distribution of plankton near the surface of the ocean. The vertical structure also affects the concentration of feed, and that affects the behaviour of Bluefin. Vertical structure of the water is controlled by the interaction of heating by the sun, wind-driven mixing, and the density of the water. In offshore areas, or in areas away from river outflows, density is determined mainly by water temperature. The sun warms the surface of the ocean, and the wind blowing over the ocean distributes the heat by mixing the water.
    As the sun warms the surface water it becomes less dense and forms a cap sitting on top of the cold deeper water. The temperature changes rapidly at the boundary between the warm less dense surface water and the denser, cooler water below. This boundary is called the thermocline. If you have ever swum in a lake in the summer and found it warm as bathwater in the surface, but freezing cold when you dropped your feet down, you have experienced the effect of a thermocline.
    When there is a warm cap on the ocean, the water is said to be stratified (or layered). If the wind has been calm, and the weather sunny, the warm surface layer will be stable, and strongly stratified conditions may develop. In these conditions, Bluefin dive frequently to relatively shallow depths (less than 100 metres). They dive rapidly, feed below the thermocline and return to the surface waters frequently, spending as much as 65% of their time in the upper 10 metres…
    Concentrations of feed often occur just below the thermocline. These layers can be seen on an echosounder. Bluefin dive down through the thermocline to feed on these layers. When the water is strongly stratified, the Bluefin dive more frequently to feed. They also dive faster, and stay less time in the deep cold water than they do when the water is well mixed.
    Bluefin use this foraging strategy during both day and night. These fish maintain a body temperature warmer than the water, so they remain highly efficient swimmers in cold water..."
    #GIS #spatial #mapping #webmaps #mobile #bluefin #tuna #sustainable #recreational #fishing #fishery #NewZealand #fish #thermocline #depth #remotesensing #food #plankton #warming #watertemperature #marine #ocean #hydrology #river #outflows #hydrography #water #stratification #surface #depth #feeding #ecosystem #habitat

  4. How Do Thermocline Depth Maps Help To Locate Bluefin Tuna?
    (the sustainable recreational bluefin tuna fishery in New Zealand is spinning up)
    --
    fishingmaps.info/articles/blue <-- shared technical article
    --
    youtu.be/jit_BjecD1I?si=Ici-Ar <-- shared Marine Stewardship Council video, “How science guides sustainable tuna fishing…”
    --
    nzgeo.com/stories/billion-doll <-- shared technical media article
    --
    [this post should not be considered an endorsement of a particular product, approach, organisation or professional(s)]
    H/T @ Sam McClatchie | Rewired ex-NOAA Fisheries Oceanographer. Creator of Fishing Maps. Now based in Huia, near Auckland, New Zealand.
    “The vertical structure of the upper ocean has a big effect on the productivity and distribution of plankton near the surface of the ocean. The vertical structure also affects the concentration of feed, and that affects the behaviour of Bluefin. Vertical structure of the water is controlled by the interaction of heating by the sun, wind-driven mixing, and the density of the water. In offshore areas, or in areas away from river outflows, density is determined mainly by water temperature. The sun warms the surface of the ocean, and the wind blowing over the ocean distributes the heat by mixing the water.
    As the sun warms the surface water it becomes less dense and forms a cap sitting on top of the cold deeper water. The temperature changes rapidly at the boundary between the warm less dense surface water and the denser, cooler water below. This boundary is called the thermocline. If you have ever swum in a lake in the summer and found it warm as bathwater in the surface, but freezing cold when you dropped your feet down, you have experienced the effect of a thermocline.
    When there is a warm cap on the ocean, the water is said to be stratified (or layered). If the wind has been calm, and the weather sunny, the warm surface layer will be stable, and strongly stratified conditions may develop. In these conditions, Bluefin dive frequently to relatively shallow depths (less than 100 metres). They dive rapidly, feed below the thermocline and return to the surface waters frequently, spending as much as 65% of their time in the upper 10 metres…
    Concentrations of feed often occur just below the thermocline. These layers can be seen on an echosounder. Bluefin dive down through the thermocline to feed on these layers. When the water is strongly stratified, the Bluefin dive more frequently to feed. They also dive faster, and stay less time in the deep cold water than they do when the water is well mixed.
    Bluefin use this foraging strategy during both day and night. These fish maintain a body temperature warmer than the water, so they remain highly efficient swimmers in cold water..."

  5. Comparing Multi-Model Mosaic And Multi-Model Combination Methods To Simulate Streamflow Across The Contiguous USA
    --
    doi.org/10.5194/hess-30-3945-2 <-- shared paper
    --
    H/T @cyril THEBAULT | Postdoctoral Fellow chez Earth Sciences New Zealand
    “[They] compared different multi-model approaches for streamflow simulation using 78 hydrological models across 559 catchments in the United States. [Their] results show that while multi-model combinations can slightly improve accuracy and reduce uncertainty, no single approach performs best everywhere.
    One interesting takeaway is that a carefully selected single model can perform as well as more complex multi-model approaches when it is chosen based on a comparative evaluation rather than simply inherited from legacy operational systems... 👀”
    --
    “The ability to accurately predict streamflow underpins decisions in water management, flood prevention, and sectoral planning. Traditional approaches for streamflow prediction often rely on a single model, thereby overlooking potential benefits from using multiple models. To address this limitation, this study explores alternative methods that select and combine multiple models to enhance streamflow simulations. Specifically, [they] assess[ed] the performance of multi-model mosaic methods that assign a single model to each catchment, and multi-model combination methods that merge multiple models using static or dynamic weighting schemes. The Framework for Understanding Structural Errors (FUSE) is used to create an ensemble of 78 hydrological models, which were applied to 544 catchments from the CAMELS dataset across the contiguous United States. Each of the 78 models is calibrated utilizing a composite objective function, calculated as the average of a high-flow and a low-flow performance metric, to cover a wide range of streamflow conditions. Based on [their] selection of lumped FUSE models, the results show that a carefully chosen single model from a larger ensemble can closely approach the performance of more complex multi-model strategies. Among the multi-model approaches, the combination and mosaic methods show broadly similar overall skill, although the combination approaches deliver slightly higher performance and lower sampling uncertainty. However, per-catchment differences persist, indicating that no single multi-model strategy dominates everywhere. This heterogeneity in performance makes it difficult to determine a priori which multi-model method will best represent streamflow in a given catchment…”
    #water #hydrology #streamflow #USA #CONUS #multimodel #simulation #hydrologic #model #modeling #catchments #watermanagement #waterresources #planning #watersecurity #flood #flooding #prediction #FUSE #CAMELS #spatialanalysis #spatiotemporal

  6. Comparing Multi-Model Mosaic And Multi-Model Combination Methods To Simulate Streamflow Across The Contiguous USA
    --
    doi.org/10.5194/hess-30-3945-2 <-- shared paper
    --
    H/T @cyril THEBAULT | Postdoctoral Fellow chez Earth Sciences New Zealand
    “[They] compared different multi-model approaches for streamflow simulation using 78 hydrological models across 559 catchments in the United States. [Their] results show that while multi-model combinations can slightly improve accuracy and reduce uncertainty, no single approach performs best everywhere.
    One interesting takeaway is that a carefully selected single model can perform as well as more complex multi-model approaches when it is chosen based on a comparative evaluation rather than simply inherited from legacy operational systems... 👀”
    --
    “The ability to accurately predict streamflow underpins decisions in water management, flood prevention, and sectoral planning. Traditional approaches for streamflow prediction often rely on a single model, thereby overlooking potential benefits from using multiple models. To address this limitation, this study explores alternative methods that select and combine multiple models to enhance streamflow simulations. Specifically, [they] assess[ed] the performance of multi-model mosaic methods that assign a single model to each catchment, and multi-model combination methods that merge multiple models using static or dynamic weighting schemes. The Framework for Understanding Structural Errors (FUSE) is used to create an ensemble of 78 hydrological models, which were applied to 544 catchments from the CAMELS dataset across the contiguous United States. Each of the 78 models is calibrated utilizing a composite objective function, calculated as the average of a high-flow and a low-flow performance metric, to cover a wide range of streamflow conditions. Based on [their] selection of lumped FUSE models, the results show that a carefully chosen single model from a larger ensemble can closely approach the performance of more complex multi-model strategies. Among the multi-model approaches, the combination and mosaic methods show broadly similar overall skill, although the combination approaches deliver slightly higher performance and lower sampling uncertainty. However, per-catchment differences persist, indicating that no single multi-model strategy dominates everywhere. This heterogeneity in performance makes it difficult to determine a priori which multi-model method will best represent streamflow in a given catchment…”

  7. Flash droughts don't wait for the seasonal forecast. Across 41 events at 12 central-US sites (2016–2024), we've been disentangling whether atmospheric dryness (VPD) or root-zone soil moisture is the dominant stressor — the answer changes how early you can see one coming.

    NISAR's L-band radar is about to make root-zone moisture visible at scale, which makes this question answerable in near-real-time.

    #drought #RemoteSensing #hydrology #ClimateChange #NISAR

  8. Flash droughts don't wait for the seasonal forecast. Across 41 events at 12 central-US sites (2016–2024), we've been disentangling whether atmospheric dryness (VPD) or root-zone soil moisture is the dominant stressor — the answer changes how early you can see one coming.

    NISAR's L-band radar is about to make root-zone moisture visible at scale, which makes this question answerable in near-real-time.

    #drought #RemoteSensing #hydrology #ClimateChange #NISAR

  9. Recent Upper Colorado River Streamflow Declines Driven by Loss of Spring Precipitation
    --
    dx.doi.org/10.1029/2024GL109826 <-- shared 2024 paper
    --
    sciencedaily.com/releases/2024 <-- 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]


    @University of Washington

  10. Run parallelised HBV hydrological model directly into GRASS GIS, prefetching Copernicus DEM, ERA5 climate dataset, and precomputing HRU, outlets, etc.
    #GRASSGIS #HBV #Copernicus #DEM #hydrology #landscape #cropmodeling #geomorphology
    github.com/yannchemin/r.hydro.

  11. Air well (condenser) (Hydrology 💧)

    An air well or aerial well is a structure or device that collects water by promoting the condensation of moisture from air. Designs for air wells are many and varied, but the simplest designs are completely passive, require no external energy source and have few, if any, moving parts. Three principal designs are used for...

    en.wikipedia.org/wiki/Air_well

    #AirWell #Hydrology #WaterSupply #DrinkingWater #Precipitation #AppropriateTechnology

  12. "The largest of the three underwater Ore-Be-Gone pits was originally owned by the Oliver Iron Mining Co., one of the biggest companies on the Iron Range in its first decades of mining. There has long been speculation that the lake is connected, via underground aquifers or fractures in the bedrock, to Minorca pits north of it, said Erika Herr, who works on mine permitting in the DNR’s Lands and Minerals division."

    Mysterious drop in Iron Range lake near idled mine pits worries town
    By Jana Hollingsworth
    The Minnesota Star Tribune
    startribune.com/lake-ore-be-go

    #Minnesota #lakes #acquifers #mining #hydrology

  13. "The largest of the three underwater Ore-Be-Gone pits was originally owned by the Oliver Iron Mining Co., one of the biggest companies on the Iron Range in its first decades of mining. There has long been speculation that the lake is connected, via underground aquifers or fractures in the bedrock, to Minorca pits north of it, said Erika Herr, who works on mine permitting in the DNR’s Lands and Minerals division."

    Mysterious drop in Iron Range lake near idled mine pits worries town
    By Jana Hollingsworth
    The Minnesota Star Tribune
    startribune.com/lake-ore-be-go

    #Minnesota #lakes #acquifers #mining #hydrology

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

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

  16. 🦫 Could Beavers Help Tackle One Of Climate Change’s Fastest-Growing Challenges? [UK] 🦫
    --
    linkedin.com/pulse/climate-cha <-- shared technical article
    --
    bbc.com/news/articles/cx26r1gz <-- shared media article, “Beavers have helped reduce flood risk…”
    --
    wildlifetrusts.org/saving-spec <-- shared overview, beavers in the UK
    --
    npr.org/2026/05/21/nx-s1-57389 <-- shared media article, “As floods get worse, Britain tries a new solution: beavers”
    --
    rewildingbritain.org.uk/why-re <-- shared reintroduction overview
    --
    youtu.be/NXZjt1M6loY?si=pwjU0t <-- shared video, “Watch the moment wild beavers return to Cornwall” [UK]
    --
    youtu.be/65HBgO33GDo?si=2qfBAa <-- shared video, “First Beavers in Bedfordshire in over 400 years” [UK]
    --
    scottishwildlifetrust.org.uk/o <-- shared overview, beaver reintroduction into Scotland
    --
    youtu.be/vCjvCQHX7mQ?si=fJS9E1 <-- shared video, “Scotland Released 11 Beavers Into a Dead River — What They Did With Mud and Sticks Was [amazing]”
    --
    H/T @RomeCook
    “In [this] article, [the author] explore[s]:
    🌿 How beaver-created wetlands support biodiversity
    🦟 Their potential influence on mosquitoes and other insect pests
    🕷️ The indirect role they may play in tick ecology
    🦇 How dragonflies, bats, birds, amphibians and beneficial insects contribute to natural pest regulation
    🚜 What this could mean for sustainable agriculture and agroforestry
    🌍 Why this matters for biodiversity, farming, and human and animal health in a changing climate…
    The beaver isn’t simply creating wetlands. It may be rebuilding the ecological balance that our landscapes have gradually lost….”
    #Beavers #BeaverConference2026 #NatureBasedSolutions #Wetlands #Ecology #Biodiversity #Entomology #IntegratedPestManagement #BiologicalControl #Agroforestry #SustainableAgriculture #ClimateChange #OneHealth #EnvironmentalScience #Conservation #Research #ResearchCollaboration #Wildlife #EcosystemServices #bioviversity #conservation #restoration #landscaperecovery #trophiccascade #Rewilding #Nature #SpeciesReintroduction #Environment #EcosystemEngineers #nature #restoration #floodmanagement #FloodMitigation #flood #flooding #floodrisk #sustainability #wetlands #hydrography #hydrology #dams #impoundment #deadwood #waterresources #landscapeengineer # agriculture #benefits #agroforestry #vegetation #waterquality #ecology #ecosystem #restoration #riversystemsstabilisation #climatechange

  17. 🦫 Could Beavers Help Tackle One Of Climate Change’s Fastest-Growing Challenges? [UK] 🦫
    --
    linkedin.com/pulse/climate-cha <-- shared technical article
    --
    bbc.com/news/articles/cx26r1gz <-- shared media article, “Beavers have helped reduce flood risk…”
    --
    wildlifetrusts.org/saving-spec <-- shared overview, beavers in the UK
    --
    npr.org/2026/05/21/nx-s1-57389 <-- shared media article, “As floods get worse, Britain tries a new solution: beavers”
    --
    rewildingbritain.org.uk/why-re <-- shared reintroduction overview
    --
    youtu.be/NXZjt1M6loY?si=pwjU0t <-- shared video, “Watch the moment wild beavers return to Cornwall” [UK]
    --
    youtu.be/65HBgO33GDo?si=2qfBAa <-- shared video, “First Beavers in Bedfordshire in over 400 years” [UK]
    --
    scottishwildlifetrust.org.uk/o <-- shared overview, beaver reintroduction into Scotland
    --
    youtu.be/vCjvCQHX7mQ?si=fJS9E1 <-- shared video, “Scotland Released 11 Beavers Into a Dead River — What They Did With Mud and Sticks Was [amazing]”
    --
    H/T @RomeCook
    “In [this] article, [the author] explore[s]:
    🌿 How beaver-created wetlands support biodiversity
    🦟 Their potential influence on mosquitoes and other insect pests
    🕷️ The indirect role they may play in tick ecology
    🦇 How dragonflies, bats, birds, amphibians and beneficial insects contribute to natural pest regulation
    🚜 What this could mean for sustainable agriculture and agroforestry
    🌍 Why this matters for biodiversity, farming, and human and animal health in a changing climate…
    The beaver isn’t simply creating wetlands. It may be rebuilding the ecological balance that our landscapes have gradually lost….”
    # agriculture

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

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

  20. Remote Sensing And The New Global River Science
    --
    doi.org/10.1038/s44221-026-006 <-- shared paper
    --
    “Rivers impact the well-being of humans and the environment. As they increasingly face planetary-scale stressors, it is critically important to monitor and understand rivers at the global scale. As the only synoptic resource for global primary data on rivers, satellite remote sensing has recently begun to provide unprecedented opportunities for the monitoring, understanding, and prediction of global river behaviour. Despite these advances, the role of satellite remote sensing in global river science has still not been fully explored. New satellite systems and algorithms will enable substantial improvements in river measurements, provide new answers to long-standing or newly emerging scientific questions, and eventually update basic knowledge of rivers to advance global river science. In this [paper they] explore how remote sensing has been used to study the world’s rivers, examine challenges and opportunities for further advancing our understanding of rivers using existing and upcoming sensors, and identify possible solutions and future research directions…”
    #GIS #spatial #mapping #water #hydrology #satellite #remotsesensing #earthobservation #hydrography #spatialanalysis #spatiotemporal #physicalgeography #change #river #global #model #modeling #research #hydrogeomorphology #geomorphometry #riverine #humanimpacts #waterquality #waterresources #watermanagement #infrastructure #lake #reservoir #dam #impoundment #canals #avulsion #overbank #flood #flooding #erosion #sedimentation #morphology #network #downstream

  21. Remote Sensing And The New Global River Science
    --
    doi.org/10.1038/s44221-026-006 <-- shared paper
    --
    “Rivers impact the well-being of humans and the environment. As they increasingly face planetary-scale stressors, it is critically important to monitor and understand rivers at the global scale. As the only synoptic resource for global primary data on rivers, satellite remote sensing has recently begun to provide unprecedented opportunities for the monitoring, understanding, and prediction of global river behaviour. Despite these advances, the role of satellite remote sensing in global river science has still not been fully explored. New satellite systems and algorithms will enable substantial improvements in river measurements, provide new answers to long-standing or newly emerging scientific questions, and eventually update basic knowledge of rivers to advance global river science. In this [paper they] explore how remote sensing has been used to study the world’s rivers, examine challenges and opportunities for further advancing our understanding of rivers using existing and upcoming sensors, and identify possible solutions and future research directions…”

  22. Compound Hydrogeomorphic Cascades And Rapid Upstream To Downstream Hazard Coupling In The Eastern Himalaya
    --
    doi.org/10.1038/s41598-026-529 <-- shared paper
    --
    doi.org/10.5194/esurf-13-1281- <-- shared paper
    --
    doi.org/10.1007/s11069-025-077 <-- shared paper
    --
    [I recognise that the photo is instead for the floods, etc in Lubra, Nepal - but felt it better showed the hydrogeomorphical setting (sic) for the 'casual' post viewer...]
    H/T @Kuldeep Dutta
    “In hilly regions transitioning rapidly to low gradient alluvial plains, localized hydrometeorological triggers can instantly scale into devastating basin wide disasters. This study dissects the September 2020 cascading hazard in parts of the Arunachal Pradesh-Assam corridor to quantify the rapid coupling between upstream hillslopes and downstream floodplains…”
    --
    “Extreme precipitation in the Eastern Himalaya is increasingly associated with coupled hillslope-floodplain hazards. This study examines the 17th-18th September 2020 rainfall event in Arunachal Pradesh initiating landslides and its downstream impacts in Assam, India, using multi-sensor satellite data and long-term rainfall records. Sentinel-2 imagery was used to map landslides and debris flows, Sentinel-1 SAR data to delineate flood extent, and IMD gridded rainfall (1996–2020) to analyse rainfall spell characteristics. The event triggered widespread slope failures, localized landslide damming, and a subsequent breach, generating sediment-laden flows that inundated ~ 100 km2 of the Dhemaji floodplain. A backscatter-derived Relative Flood Volume Index (RFVI) indicates spatial variability in inundation intensity, although it does not represent absolute flood volume. Rainfall analysis suggests that antecedent wetness from preceding spells preconditioned slopes, while peak daily rainfall (> 170 mm/day/) initiated landsliding. Power-law scaling shows negligible dependence of intensity on duration (R² ≈ 0.0004), whereas cumulative rainfall exhibits a stronger relationship with duration (R² ≈ 0.54). These results indicate distinct roles of rainfall intensity and accumulation in controlling landslide initiation and downstream flooding, respectively, highlighting the importance of compound rainfall forcing in rapid hydrogeomorphic cascades...”
    #EarthScience #RemoteSensing #Himalayas #NaturalHazards #ClimateChange #ScientificReports #GeospatialAnalysis #DisasterMitigation #Landslide #Flooding #alluvial #fluvial #water #hydrology #hydrography #flood #flooding #spatialanalysis #spatiotemporal #mountain #plain #hydrometeorological #hydrogeomorphology #ArunachalPradesh #Assam #India #hillslope #floodplain #rainfall #precipitation #extremeweather #engineeringgeology #massmovement #landslide #debrisflow #risk #hazard #monitoring #GIS #spatial #mapping #remotesensing #satellite #Sentinel #sedimentation #humanimpacts #infrastructure #damage #cost #economics #public #safety #model #modeling #downstream

  23. Compound Hydrogeomorphic Cascades And Rapid Upstream To Downstream Hazard Coupling In The Eastern Himalaya
    --
    doi.org/10.1038/s41598-026-529 <-- shared paper
    --
    doi.org/10.5194/esurf-13-1281- <-- shared paper
    --
    doi.org/10.1007/s11069-025-077 <-- shared paper
    --
    [I recognise that the photo is instead for the floods, etc in Lubra, Nepal - but felt it better showed the hydrogeomorphical setting (sic) for the 'casual' post viewer...]
    H/T @Kuldeep Dutta
    “In hilly regions transitioning rapidly to low gradient alluvial plains, localized hydrometeorological triggers can instantly scale into devastating basin wide disasters. This study dissects the September 2020 cascading hazard in parts of the Arunachal Pradesh-Assam corridor to quantify the rapid coupling between upstream hillslopes and downstream floodplains…”
    --
    “Extreme precipitation in the Eastern Himalaya is increasingly associated with coupled hillslope-floodplain hazards. This study examines the 17th-18th September 2020 rainfall event in Arunachal Pradesh initiating landslides and its downstream impacts in Assam, India, using multi-sensor satellite data and long-term rainfall records. Sentinel-2 imagery was used to map landslides and debris flows, Sentinel-1 SAR data to delineate flood extent, and IMD gridded rainfall (1996–2020) to analyse rainfall spell characteristics. The event triggered widespread slope failures, localized landslide damming, and a subsequent breach, generating sediment-laden flows that inundated ~ 100 km2 of the Dhemaji floodplain. A backscatter-derived Relative Flood Volume Index (RFVI) indicates spatial variability in inundation intensity, although it does not represent absolute flood volume. Rainfall analysis suggests that antecedent wetness from preceding spells preconditioned slopes, while peak daily rainfall (> 170 mm/day/) initiated landsliding. Power-law scaling shows negligible dependence of intensity on duration (R² ≈ 0.0004), whereas cumulative rainfall exhibits a stronger relationship with duration (R² ≈ 0.54). These results indicate distinct roles of rainfall intensity and accumulation in controlling landslide initiation and downstream flooding, respectively, highlighting the importance of compound rainfall forcing in rapid hydrogeomorphic cascades...”

  24. Rock Weathering Can Counteract River CO2 Emissions Induced By Permafrost Thaw
    --
    doi.org/10.1038/s41586-026-106 <-- shared paper
    --
    H/T @aaron Bufe
    “[The researchers] measured carbon emissions and water chemistry in 50 headwater rivers draining 780,000 km² of the Tibetan Plateau.
    The rivers flow in landscapes underlain by continuous permafrost and landscapes in which the permafrost has retreated since the last glacial maximum. They collect[ed] organic carbon from soils and dissolved inorganic carbon that is fixed by rock-weathering.
    Where the permafrost cover is continuous, rivers emit CO2 from degrading (permafrost) soil carbon. Weathering reactions in these catchments are relatively slow.
    In landscapes with (almost) no permafrost, carbon fluxes from weathering are faster than CO2 emissions from rivers.
    Thus, as permafrost landscapes transition to landscapes without permafrost cover, chemical weathering reactions may play an ever more important role in riverine carbon cycling.
    Interestingly, weathering can affect the carbon cycle in different ways. Where sulfide minerals are present, weathering reactions can emit CO2. Where silicate minerals dominate, weathering draws down CO2 from the atmosphere…”
    --
    “Climate-induced permafrost thaw unlocks large stores of organic carbon that are mineralized and emitted as carbon dioxide (CO2) from rivers to the atmosphere. Concurrently, warming and permafrost thaw can increase mineral weathering rates, thus affecting the release and sequestration of inorganic carbon. Yet how these biological and geological carbon cycles interact and jointly affect CO2 dynamics (emission compared with drawdown) in permafrost rivers remains unknown. Here [they] combine[d] CO2 emissions, organic and inorganic solute concentrations, dual carbon isotopes (δ13C–Δ14C) and geochemical modelling to infer how permafrost thaw may affect river biogeochemistry over decades to centuries across the Qinghai–Tibet Plateau. Leveraging a gradient of thermal permafrost degradation, we find that river CO2 emissions decline, whereas solute fluxes from rock weathering increase with decreasing permafrost cover. Across this region, net CO2 drawdown fluxes from rock weathering are about 35% of river CO2 emissions, varying from around 15% in catchments with continuous permafrost to more than 100% in catchments with discontinuous or isolated permafrost. Thus, carbon fluxes from chemical weathering may become increasingly important with ongoing permafrost thaw, potentially even outpacing river CO2 emissions. [Their] findings disentangle the interplay between biological and geological carbon fluxes that are important for the cryosphere and the global carbon cycle…”
    #permafrost #melting #thaw #climatechange #warming #Tibet #TibetanPlateau #Qinghai #water #hydrology #carbonemissions #CO2 #emissions #waterchemistry #waterquality #cryosphere #sediment #sedimentation #weathering #rock #carbon #river #riverine #carboncyling #geochemistry #biology #geology #soil

  25. Rock Weathering Can Counteract River CO2 Emissions Induced By Permafrost Thaw
    --
    doi.org/10.1038/s41586-026-106 <-- shared paper
    --
    H/T @aaron Bufe
    “[The researchers] measured carbon emissions and water chemistry in 50 headwater rivers draining 780,000 km² of the Tibetan Plateau.
    The rivers flow in landscapes underlain by continuous permafrost and landscapes in which the permafrost has retreated since the last glacial maximum. They collect[ed] organic carbon from soils and dissolved inorganic carbon that is fixed by rock-weathering.
    Where the permafrost cover is continuous, rivers emit CO2 from degrading (permafrost) soil carbon. Weathering reactions in these catchments are relatively slow.
    In landscapes with (almost) no permafrost, carbon fluxes from weathering are faster than CO2 emissions from rivers.
    Thus, as permafrost landscapes transition to landscapes without permafrost cover, chemical weathering reactions may play an ever more important role in riverine carbon cycling.
    Interestingly, weathering can affect the carbon cycle in different ways. Where sulfide minerals are present, weathering reactions can emit CO2. Where silicate minerals dominate, weathering draws down CO2 from the atmosphere…”
    --
    “Climate-induced permafrost thaw unlocks large stores of organic carbon that are mineralized and emitted as carbon dioxide (CO2) from rivers to the atmosphere. Concurrently, warming and permafrost thaw can increase mineral weathering rates, thus affecting the release and sequestration of inorganic carbon. Yet how these biological and geological carbon cycles interact and jointly affect CO2 dynamics (emission compared with drawdown) in permafrost rivers remains unknown. Here [they] combine[d] CO2 emissions, organic and inorganic solute concentrations, dual carbon isotopes (δ13C–Δ14C) and geochemical modelling to infer how permafrost thaw may affect river biogeochemistry over decades to centuries across the Qinghai–Tibet Plateau. Leveraging a gradient of thermal permafrost degradation, we find that river CO2 emissions decline, whereas solute fluxes from rock weathering increase with decreasing permafrost cover. Across this region, net CO2 drawdown fluxes from rock weathering are about 35% of river CO2 emissions, varying from around 15% in catchments with continuous permafrost to more than 100% in catchments with discontinuous or isolated permafrost. Thus, carbon fluxes from chemical weathering may become increasingly important with ongoing permafrost thaw, potentially even outpacing river CO2 emissions. [Their] findings disentangle the interplay between biological and geological carbon fluxes that are important for the cryosphere and the global carbon cycle…”

  26. Groundwater-dependent ecosystems (Ecosystems 🏞️)

    Groundwater-Dependent Ecosystems are ecosystems that rely upon groundwater for their continued existence. Groundwater is water that has seeped down beneath Earth's surface and has come to reside within the pore spaces in soil and fractures in rock, this process can create water tables and aquifers, which are large st...

    en.wikipedia.org/wiki/Groundwa

    #GroundwaterDependentEcosystems #Habitat #Hydrology #Ecosystems

  27. Hydroclimate Volatility On A Warming Earth
    --
    doi.org/10.1038/s43017-024-006 <-- shared 2025 paper
    --
    newsroom.ucla.edu/releases/flo <-- 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

  28. Hydroclimate Volatility On A Warming Earth
    --
    doi.org/10.1038/s43017-024-006 <-- shared 2025 paper
    --
    newsroom.ucla.edu/releases/flo <-- 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…
    # ###

  29. Environment Auckland [New Zealand] Data Portal [incl. spatial]
    --
    environmentauckland.org.nz/Data <-- shared link to data portal
    --
    ourauckland.aucklandcouncil.go <-- shared 2025 report link
    --
    coastalmonitoringac.netlify.ap <-- shared Auckland Council Beach Monitoring Program page
    --
    [ancetodal: a VERY long time ago I was an intern Engineering Geologist at the Auckland Council, although it was ARC back then 😊 ]
    H/T @David Wright | Senior Field Hydrologist, Hydrology And Data Management Team
    “This portal contains primary data from Auckland Council’s State of the Environment monitoring programmes.
    Te Kaunihera o Tāmaki Makaurau / Auckland Council's Environmental Evaluation and Monitoring Unit carries out environmental monitoring across the region. [They] have been collecting information about Auckland’s environment for more than 30 years and have more than 1,000 monitoring sites across the region. [Their] comprehensive monitoring programmes build a picture of the health of Auckland’s environment, track changes and identify issues...”
    #opendata #Auckland #NewZealand #GIS #spatial #mapping #dataportal #localgovernment #publicservice #publicgood #ratepayers #StateoftheEnvironment #monitoringprogrammes #environment #water #hydrology #waterquality #waterresources #intergration #environmentalmonitoring #airquality #coast #coastal #development #construction #engineering #sediment #biology #biodiversity #ecology #habitat #monitoring #spatialanalysis #spatiotemporal #estuary #river #stream #marine #mitigation #identification
    @Auckland Council

  30. Environment Auckland [New Zealand] Data Portal [incl. spatial]
    --
    environmentauckland.org.nz/Data <-- shared link to data portal
    --
    ourauckland.aucklandcouncil.go <-- shared 2025 report link
    --
    coastalmonitoringac.netlify.ap <-- shared Auckland Council Beach Monitoring Program page
    --
    [ancetodal: a VERY long time ago I was an intern Engineering Geologist at the Auckland Council, although it was ARC back then 😊 ]
    H/T @David Wright | Senior Field Hydrologist, Hydrology And Data Management Team
    “This portal contains primary data from Auckland Council’s State of the Environment monitoring programmes.
    Te Kaunihera o Tāmaki Makaurau / Auckland Council's Environmental Evaluation and Monitoring Unit carries out environmental monitoring across the region. [They] have been collecting information about Auckland’s environment for more than 30 years and have more than 1,000 monitoring sites across the region. [Their] comprehensive monitoring programmes build a picture of the health of Auckland’s environment, track changes and identify issues...”

    @Auckland Council

  31. As permafrost degrades due to climate warming, intensified chemical rock weathering in river catchments creates a geological carbon sink that can significantly offset the biological release of carbon dioxide.
    #Biogeochemistry #Climatology #Geomorphology #Hydrology #EarthScience #sflorg
    sflorg.com/2026/06/es06172602.

  32. As permafrost degrades due to climate warming, intensified chemical rock weathering in river catchments creates a geological carbon sink that can significantly offset the biological release of carbon dioxide.
    #Biogeochemistry #Climatology #Geomorphology #Hydrology #EarthScience #sflorg
    sflorg.com/2026/06/es06172602.

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

  34. Urban Flood Observations [UFO] - A Hand-Labeled Training And Validation Dataset Of Post-Flood Inundation
    --
    doi.org/10.48550/arXiv.2604.23 <-- shared paper
    --
    zenodo.org/records/19698577 <-- shared dataset
    --
    H/T @Rohit Mukherjee
    “UFO includes 215 high-resolution PlanetScope image chips and corresponding labels from 14 global flood events, with a focus on urban environments. The labels capture visible surface water in post-flood scenes.
    Labeling floods from space is hard, especially in urban areas. Building shadows, narrow channels, wet soil, complex drainage features, and mixed pixels all make it difficult. [They] spent a lot of time refining the labels, and [they] think they can be useful for benchmarking flood-mapping methods and for training flood models (if you have PlanetScope access).
    As an initial benchmark, [they have] trained a SegFormer model on the dataset and achieved a mean IoU of 77.3% under leave-one-event-out validation, where each flood event was held out entirely from training…”
    --
    “Urban flooding affects lives and infrastructure worldwide. Mapping inundation in complex urban environments from satellite imagery remains challenging due to limited spatial resolution, infrequent acquisitions, and cloud cover. [They] present Urban Flood Observations (UFO), a global, hand-labeled dataset of post-flood inundation in diverse urban settings. UFO comprises 215 image chips (1024 by 1024 pixels) from 14 flood events between 2017 and 2021, derived from 3 metre PlanetScope imagery. Each chip is annotated with two classes: 'inundated' (all visible surface water, including floodwater and pre-existing water bodies (permanent or seasonal)) and 'non-inundated'. To demonstrate the dataset's utility, [they have] trained a segmentation model using leave-one-event-out cross-validation, achieving a mean Intersection over Union (IoU) of 77.3. [They] also used UFO to evaluate two widely used surface water products, the Sentinel-1-based NASA IMPACT model and Google's 10 m Dynamic World water class, which yielded IoUs of 44.1 and 48.1, respectively. UFO is publicly available to support the development and validation of urban inundation mapping methods…”

  35. Scientists See More Vegetation In The Himalayas - But It Is Not Good News, Because That Extra “Green” Can Disrupt Water, Snow, And High-Mountain Biodiversity | Plants Growing Higher Across Himalaya As Climate Warms
    (Vegetation On The Move: Elevational Shifts And Greening Dynamics Across The Himalayan Alpine Zone)
    --
    ecoticias.com/en/scientists-se <-- shared technical article
    --
    news.exeter.ac.uk/faculty-of-e <-- shared technical newsitem
    --
    doi.org/10.1002/ecog.08259 <-- shared (2026) paper
    --
    doi.org/10.1111/gcb.14919 <-- shared (2020) paper
    --
    “For years, the biggest climate warning from the Himalaya was easy to picture because glaciers were shrinking on the roof of Asia. Now, researchers are pointing to a quieter signal, one that can look almost harmless from a distance. The mountains are getting greener.
    New research [link above] shows alpine vegetation moving higher across six Himalayan regions from 1999 to 2022, pushed in part by warming and reduced snow depth. That might sound like nature recovering, but in this fragile landscape, more plant cover at extreme heights may change how snow is stored, how water runs downhill, and how rivers behave for communities far below…”

  36. The Growing Threat of Flooding on Transportation Infrastructure Across Texas Through 2100
    --
    doi.org/10.1029/2026EF008207 <--shared paper
    --
    H/T @Rakibul Ahasan
    “[The researchers] modeled flood susceptibility across Texas at 30 m resolution and projected how it shifts through 2100. The headline is not just that flood risk grows, but that it moves, into places current planning and regulatory maps are not watching. The July 2025 Kerrville flooding sat squarely inside the kind of inland hazard expansion this model projects.
    KEY TAKEAWAYS:
    ● 95% of new flood exposure by 2100 is inland, away from the coast, shifting the resilience problem into interior river basins that planning has historically deprioritized.
    ● Where [they] benchmarked against FEMA's National Flood Hazard Layer, the model flags substantial hidden risk in rapidly urbanizing peri-urban areas, most notably in Greater Houston.
    ● Climate change alone expands the flood-susceptible footprint by 10–12% by 2100, before any new road or land-use development, so this is a conservative floor, not a ceiling.
    ● Half the state's roads and rail and 80% of its bridges already sit in flood-susceptible zones today.
    ● [They] accounted for both factor-importance and spatial-scale uncertainty, using a Monte Carlo weight-perturbation ensemble and multiscale analysis across nested neighborhoods.
    The practical takeaway: this is a statewide screening layer, not a replacement for site-level hydraulic studies. It shows planners and policymakers where the gap between today's protection and tomorrow's risk is widest, and where unmapped peri-urban growth is walking into exposure that regulatory maps still call safe…”