home.social

#hydrologic — Public Fediverse posts

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

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

    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

    #water #hydrology #streamflow #usa #conus #multimodel
  2. 💧🌏 Greg Cocks @GregCocks ·

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

    Evaluating The Functional Realism Of Deep Learning Rainfall-Runoff Models Using Catchment Hydrology Principles
    --
    doi.org/10.1029/2025WR040076 <-- shared paper
    --
    #water #hydrology #surfacewater #pluvial #fluvial #rainfall #snow #snowmelt #runoff #precipitation #model #blackbox #robustness #functionalrealism #screening #parameters #accuracy #hydrologic #principles #trustworthy #modeling #spatialanalysis #spatial #mapping #GIS #spatiotemporal #USA #CONUS #AI #ExplainableAI #celerity #machinelearning #artificialintelligence #LSTM #deeplearning #evapotranspiration #waterresources #extremeweather #flood #flooding #risk #hazard #monitoring #prediction #catchments #streamflow #geomorphometry #network #flow #calibration

    #water #hydrology #surfacewater #pluvial #fluvial #rainfall
  4. 💧🌏 Greg Cocks @GregCocks ·

    Evaluating The Functional Realism Of Deep Learning Rainfall-Runoff Models Using Catchment Hydrology Principles
    --
    doi.org/10.1029/2025WR040076 <-- shared paper
    --

    #water #hydrology #surfacewater #pluvial #fluvial #rainfall
  5. 💧🌏 Greg Cocks @[email protected] ·

    REGIS II - The Hydrogeological Model [Nederlands]
    --
    dinoloket.nl/en/regis-ii-the-h <-- shared project/data overview 1
    --
    dinoloket.nl/en/subsurface-mod <-- shared web mapping site
    --
    basisregistratieondergrond.nl/ <-- shared project/data overview 2
    --
    #GIS #spatial #mapping #geology #hydrogeology #Nederland #Holland #Dutch #wells #boreholes #data #core #lithology #REGISII #hydrogeological #model #spatialanalysis #water #hydrology #aquifer #aquitard #opendata #digital #sedimentology #hydrologic #pumping #tests #hydraulic #conductivity #transmissivity #geophysics

    #gis #spatial #mapping #geology #hydrogeology #nederland
  6. 💧🌏 Greg Cocks @GregCocks ·

    REGIS II - The Hydrogeological Model [Nederlands]
    --
    dinoloket.nl/en/regis-ii-the-h <-- shared project/data overview 1
    --
    dinoloket.nl/en/subsurface-mod <-- shared web mapping site
    --
    basisregistratieondergrond.nl/ <-- shared project/data overview 2
    --

    #gis #spatial #mapping #geology #hydrogeology #nederland
  7. Knowledge Zone @[email protected] ·

    #KnowledgeByte: The global #Water #Cycle, also known as the #Hydrologic cycle, is a continuous process that describes the movement of water on, above, and below the surface of the Earth.

    The water cycle is an essential part of How the Earth System Works.

    knowledgezone.co.in/posts/Glob

    #knowledgebyte #water #cycle #hydrologic
  8. Knowledge Zone @[email protected] ·

    #KnowledgeByte: The global #Water #Cycle, also known as the #Hydrologic cycle, is a continuous process that describes the movement of water on, above, and below the surface of the Earth.

    The water cycle is an essential part of How the Earth System Works.

    knowledgezone.co.in/posts/Glob

    #knowledgebyte #water #cycle #hydrologic
  9. Knowledge Zone @[email protected] ·

    The global #Water #Cycle, also known as the #Hydrologic cycle, is a continuous process that describes the movement of water on, above, and below the surface of the Earth.

    knowledgezone.co.in/posts/Glob

    #water #cycle #hydrologic
  10. Knowledge Zone @[email protected] ·

    The global #Water #Cycle, also known as the #Hydrologic cycle, is a continuous process that describes the movement of water on, above, and below the surface of the Earth.

    knowledgezone.co.in/posts/Glob

    #water #cycle #hydrologic
  11. 💧🌏 Greg Cocks @[email protected] ·

    Physically-Based Hydrologic Modeling Using GRASS GIS - r.topmodel [tutorial]
    --
    workshop.isnew.info/omu-2024-r <-- link to technical resource / workshop / tutorial
    --
    “This workshop will introduce r.topmodel (Cho 2000), the GRASS GIS module for a physically-based hydrologic model called TOPMODEL (Beven 1984)..."
    #GIS #spatial #mapping #water #hydrology #Hydrologic #model #Modeling #GRASS #GRASSGIS #topmodel #workshop #tutorial #onlinelearning #TopographyModel #catchments #R #SAGA #module #ISPSO #particleswarmoptimization #algorithm #continuingeducation

    #gis #spatial #mapping #water #hydrology #hydrologic
  12. 💧🌏 Greg Cocks @GregCocks ·

    Physically-Based Hydrologic Modeling Using GRASS GIS - r.topmodel [tutorial]
    --
    workshop.isnew.info/omu-2024-r <-- link to technical resource / workshop / tutorial
    --
    “This workshop will introduce r.topmodel (Cho 2000), the GRASS GIS module for a physically-based hydrologic model called TOPMODEL (Beven 1984)..."

    #gis #spatial #mapping #water #hydrology #hydrologic
  13. INSTAAR @[email protected] ·

    🚨New paper: The #hydrologic & #geochemical contributions from snow to streamflow in the McMurdo Dry Valleys of Antarctica

    This first quantification of melting snow (vs glacier ice) shifts views of Valley's hydro cycle, algal mat growth, & future changes onlinelibrary.wiley.com/doi/10

    #hydrologic #geochemical
  14. ̶s̶e̶t̶h̶ ̶ ̶ @[email protected] ·

    wtf is #hydrologic outlook supposed to mean? What's wrong with the word "rain"?

    #hydrologic
  15. ̶s̶e̶t̶h̶ ̶ ̶ @[email protected] ·

    wtf is #hydrologic outlook supposed to mean? What's wrong with the word "rain"?

    #hydrologic
  16. 💧🌏 Greg Cocks @[email protected] ·

    usgs.gov/3d-hydrography-progra <-- 3DHP, USGS's new program for elevation derived hydrography storage, value added, and delivery
    #USGS #3d #hydrography #hydrologic #USA

    #usgs #3d #hydrography #hydrologic #usa
  17. 💧🌏 Greg Cocks @GregCocks ·

    usgs.gov/3d-hydrography-program <-- 3DHP, USGS's new program for elevation derived hydrography storage, value added, and delivery

    #usgs #3d #hydrography #hydrologic #usa
  18. Javed Ali @[email protected] ·

    Our team working hard to analyze the complex patterns of #CompoundFlooding in New York, during the National Water Center Summer Institute 2023 in Tuscaloosa.

    By using #hydrologic & #hydrodynamic coupled modeling and #MachineLearning, we're trying to understand the key drivers of #flooding events in #NYC under different #ClimateChange scenarios.

    #climatechange #nyc #flooding #machinelearning #hydrodynamic #hydrologic
  19. Javed Ali @[email protected] ·

    Our team working hard to analyze the complex patterns of #CompoundFlooding in New York, during the National Water Center Summer Institute 2023 in Tuscaloosa.

    By using #hydrologic & #hydrodynamic coupled modeling and #MachineLearning, we're trying to understand the key drivers of #flooding events in #NYC under different #ClimateChange scenarios.

    #climatechange #nyc #flooding #machinelearning #hydrodynamic #hydrologic
  20. 💧🌏 Greg Cocks @[email protected] ·

    U.S. Forest Service National Riparian Areas Base Map For The Conterminous United States In 2019
    --
    fs.usda.gov/rds/archive/catalo <-- shared paper
    --
    storymaps.arcgis.com/stories/8 <-- shared story map
    --
    #GIS #spatial #mapping #opendata #riparian #areas #CONUS #USA #basemaps #ecosystems #vegetation #soil #characteristics #environment #survey #spatialanalysis #monitoring #planning #management #policy #framework #geospatialdatasets #national #raster #floodheight #hydrology #water #NHD #WBD #NHDPlus #hydrologic #wetlands #3DEP #elevation #remotesensing #MRLC #landcover #NLCD #interagency #cooperation
    #USFS #USDA #USGS #USFWS

    #gis #spatial #mapping #opendata #riparian #areas
  21. 💧🌏 Greg Cocks @GregCocks ·

    U.S. Forest Service National Riparian Areas Base Map For The Conterminous United States In 2019
    --
    fs.usda.gov/rds/archive/catalo <-- shared paper
    --
    storymaps.arcgis.com/stories/8 <-- shared story map
    --

    #gis #spatial #mapping #opendata #riparian #areas
  22. 💧🌏 Greg Cocks @[email protected] ·

    An Enhanced Hydrologic Stream Network Based On The NHDPlus Medium Resolution [MR] Dataset
    --
    doi.org/10.3133/sir20195127 <-- shared paper
    --
    #GIS #spatial #mapping #hydrology #USA #water #hydrospatial #NHD #NHDPlus #NHDPlusMR #infrastructure #data #network #appliedscience #model #survey #representation #stream #river #hydrologic #SPARROW #contaminant #pollution #diversions #waterquality #NWQA #routing #network #flowline #tracenetwork #modeling #quality #transport #USGS
    @USGS @NWQA

    #gis #spatial #mapping #hydrology #usa #water
  23. 💧🌏 Greg Cocks @GregCocks ·

    An Enhanced Hydrologic Stream Network Based On The NHDPlus Medium Resolution [MR] Dataset
    --
    doi.org/10.3133/sir20195127 <-- shared paper
    --

    @USGS @NWQA

    #gis #spatial #mapping #hydrology #usa #water