#conus — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #conus, aggregated by home.social.
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National Water Availability Assessment Data Companion Launches Interactive Map
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https://water.usgs.gov/nwaa-data/ <-- shared USGS resource link
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https://water.usgs.gov/nwaa-data/interactive-map/ <-- shared USGS webmap
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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 -
National Water Availability Assessment Data Companion Launches Interactive Map
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https://water.usgs.gov/nwaa-data/ <-- shared USGS resource link
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https://water.usgs.gov/nwaa-data/interactive-map/ <-- 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 -
Comparing Multi-Model Mosaic And Multi-Model Combination Methods To Simulate Streamflow Across The Contiguous USA
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https://doi.org/10.5194/hess-30-3945-2026 <-- shared paper
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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... 👀”
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“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 -
Comparing Multi-Model Mosaic And Multi-Model Combination Methods To Simulate Streamflow Across The Contiguous USA
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https://doi.org/10.5194/hess-30-3945-2026 <-- shared paper
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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... 👀”
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“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 -
Statistical Characterization Of High Flow Volumes Across The Conterminous United States Supporting Managed Aquifer Recharge
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https://doi.org/10.1029/2025WR041955 <-- shared paper
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https://www.latimes.com/environment/story/2025-06-24/california-2024-groundwater-report <-- shared media article
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#water #hydrology #groundwater #watersecurity #waterresources #watersupply #watermanagement #USA #CONUS #aquifer #ManagedAquiferRecharge #MAR #FloodMAR #depletion #overpumping #flood #flooding #recharge #planning #policy #streamflow #extremes #hydrography #highflowvolumes #HFV #model #modeling #uncertainly #siting #screening #usecase #spatialanalysis #geostatics #spatiotemporal #mapping #hydrogeomorphology -
Statistical Characterization Of High Flow Volumes Across The Conterminous United States Supporting Managed Aquifer Recharge
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https://doi.org/10.1029/2025WR041955 <-- shared paper
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https://www.latimes.com/environment/story/2025-06-24/california-2024-groundwater-report <-- shared media article
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#water #hydrology #groundwater #watersecurity #waterresources #watersupply #watermanagement #USA #CONUS #aquifer #ManagedAquiferRecharge #MAR #FloodMAR #depletion #overpumping #flood #flooding #recharge #planning #policy #streamflow #extremes #hydrography #highflowvolumes #HFV #model #modeling #uncertainly #siting #screening #usecase #spatialanalysis #geostatics #spatiotemporal #mapping #hydrogeomorphology -
How Space Weather Could Bust The AI Boom
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https://spacenews.com/how-space-weather-could-bust-the-ai-boom/ <-- shared technical article
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https://futurism.com/artificial-intelligence/ai-data-centers-electric-grid-meltdown <-- shared technical article, “AI Data Centers Pushing Electric Grid Into Meltdown”
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https://doi.org/10.1146/annurev-earth-032524-012356 <-- shared 2026 paper, “Magnetic Storms and Geoelectric Hazards”
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#AI #datcenters #infrastructure #impacts #solarstorms #spaceweather #risk #hazards #overloading #electricity #energy #powersupply #energygrid #vulnerable #transmission #energy #demand #consumers #geoelectrical #geomagnetism #blackout #damage #cost #economics #equipment #transformers #carringtonevent #NERC #grid #reliability #electricaldemand #utilities #magneticstorm #electromagneticinduction #extremeevent #historicalevent #hazardanalysis #spaceweather #history #Carrington #geoelectric #humanimpacts #risk #hazard #monitoring #network #geology #geomagnetism #impedance #rock #soil #utilities #electricaltransmission #powerlines #magnetotelluric #sensor #blackout #brownout #energy #geoelectrichazard #geoelectric #GIS #spatial #mapping #spatialanalysis #spatiotemporal #model #modeling #geomagnetism #geomagneticstorm #telecommunication #electronics #hardened #geography #mitigation #preparedness #geomorphology #geomorphometry #surfacegeology #cost #economics #disaster #impacts #technology #InternetOfThings #internet #USA #review #CONUS #numericalmodeling #realtimemonitoring #AIBoom #Bust
@North American Electric Reliability Corporation (NERC) -
How Space Weather Could Bust The AI Boom
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https://spacenews.com/how-space-weather-could-bust-the-ai-boom/ <-- shared technical article
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https://futurism.com/artificial-intelligence/ai-data-centers-electric-grid-meltdown <-- shared technical article, “AI Data Centers Pushing Electric Grid Into Meltdown”
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https://doi.org/10.1146/annurev-earth-032524-012356 <-- shared 2026 paper, “Magnetic Storms and Geoelectric Hazards”
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#AI #datcenters #infrastructure #impacts #solarstorms #spaceweather #risk #hazards #overloading #electricity #energy #powersupply #energygrid #vulnerable #transmission #energy #demand #consumers #geoelectrical #geomagnetism #blackout #damage #cost #economics #equipment #transformers #carringtonevent #NERC #grid #reliability #electricaldemand #utilities #magneticstorm #electromagneticinduction #extremeevent #historicalevent #hazardanalysis #spaceweather #history #Carrington #geoelectric #humanimpacts #risk #hazard #monitoring #network #geology #geomagnetism #impedance #rock #soil #utilities #electricaltransmission #powerlines #magnetotelluric #sensor #blackout #brownout #energy #geoelectrichazard #geoelectric #GIS #spatial #mapping #spatialanalysis #spatiotemporal #model #modeling #geomagnetism #geomagneticstorm #telecommunication #electronics #hardened #geography #mitigation #preparedness #geomorphology #geomorphometry #surfacegeology #cost #economics #disaster #impacts #technology #InternetOfThings #internet #USA #review #CONUS #numericalmodeling #realtimemonitoring #AIBoom #Bust
@North American Electric Reliability Corporation (NERC) -
Study Highlights Growing Importance Of Multi-Day Storms In Future U.S. Flood Risk
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https://news.okstate.edu/articles/engineering-architecture-technology/2026/study-highlights-growing-importance-of-multi-day-storms-in-future-u.s.-flood-risk <-- shared technical article
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https://doi.org/10.1088/2752-5295/ae4f14 <-- shared paper
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“Extreme rainfall is projected to intensify as the climate warms, yet whether the greatest increases will occur in multi-day or single-day events remains uncertain. This knowledge gap is particularly pressing given recent catastrophic floods triggered by multi-day rainfall events, prompting the question of whether multi-day events could, in fact, intensify more than their daily counterparts, and by how much. This study addresses this question using an ensemble of 34 downscaled Earth System Models under two Shared Socioeconomic Pathways (SSP2-4.5 and SSP5-8.5), focusing on changes in extreme rainfall by the end of the century across ten regions of the contiguous United States. [Their] statistical framework evaluates model agreement, ensemble-mean changes, and the significance of these changes for both daily and multi-day rainfall extremes. Results show that extreme rainfall amounts are expected to increase for most regions and durations. The degree of intensification, however, depends strongly on event rarity and regional climate characteristics. Notably, in the U.S. western Gulf Coast region, very rare multi-day events (e.g., 500 year return period) are projected to intensify more than their daily counterparts, a phenomenon that could be explained by increased stalling of tropical cyclones, which can prolong heavy rainfall over multiple days. These results challenge the assumption that daily extremes dominate future risk and highlight the need to consider event duration when updating flood-hazard maps, design standards, and adaptation planning…”
#Flooding #FloodRisk #FloodInsurance #FloodAwareness #Explore #FloodPreparedness #FlashFlooding #ClimateResilience #climatechange #extremeweather #DisasterPreparedness #StormwaterManagement #FloodSafety #CommunityResilience #risk #hazard #model #modeling #floodrisk #multiday #rainfall #precipitation #storm #water #hydrology #hydrography #planning #policy #regulations #climatemodel #CONUS #USA #publicsafety #cost #economics #damage #loss #infrastructure #spatiotemporal #spatialanalysis #earthsystemmodels #forecasting #meteorology #designstandards #floodmapping #mitigation #flood -
Study Highlights Growing Importance Of Multi-Day Storms In Future U.S. Flood Risk
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https://news.okstate.edu/articles/engineering-architecture-technology/2026/study-highlights-growing-importance-of-multi-day-storms-in-future-u.s.-flood-risk <-- shared technical article
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https://doi.org/10.1088/2752-5295/ae4f14 <-- shared paper
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“Extreme rainfall is projected to intensify as the climate warms, yet whether the greatest increases will occur in multi-day or single-day events remains uncertain. This knowledge gap is particularly pressing given recent catastrophic floods triggered by multi-day rainfall events, prompting the question of whether multi-day events could, in fact, intensify more than their daily counterparts, and by how much. This study addresses this question using an ensemble of 34 downscaled Earth System Models under two Shared Socioeconomic Pathways (SSP2-4.5 and SSP5-8.5), focusing on changes in extreme rainfall by the end of the century across ten regions of the contiguous United States. [Their] statistical framework evaluates model agreement, ensemble-mean changes, and the significance of these changes for both daily and multi-day rainfall extremes. Results show that extreme rainfall amounts are expected to increase for most regions and durations. The degree of intensification, however, depends strongly on event rarity and regional climate characteristics. Notably, in the U.S. western Gulf Coast region, very rare multi-day events (e.g., 500 year return period) are projected to intensify more than their daily counterparts, a phenomenon that could be explained by increased stalling of tropical cyclones, which can prolong heavy rainfall over multiple days. These results challenge the assumption that daily extremes dominate future risk and highlight the need to consider event duration when updating flood-hazard maps, design standards, and adaptation planning…”
#Flooding #FloodRisk #FloodInsurance #FloodAwareness #Explore #FloodPreparedness #FlashFlooding #ClimateResilience #climatechange #extremeweather #DisasterPreparedness #StormwaterManagement #FloodSafety #CommunityResilience #risk #hazard #model #modeling #floodrisk #multiday #rainfall #precipitation #storm #water #hydrology #hydrography #planning #policy #regulations #climatemodel #CONUS #USA #publicsafety #cost #economics #damage #loss #infrastructure #spatiotemporal #spatialanalysis #earthsystemmodels #forecasting #meteorology #designstandards #floodmapping #mitigation #flood -
Magnetic Storms And Geoelectric Hazards
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https://doi.org/10.1146/annurev-earth-032524-012356 <-- shared paper / annual review
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#magneticstorm #electromagneticinduction #extremeevent #historicalevent #hazardanalysis #spaceweather #history #Carrington #geoelectric #humanimpacts #risk #hazard #monitoring #network #geology #geomagnetism #impedance #rock #soil #utilities #electricaltransmission #powerlines #magnetotelluric #sensor #magnetometer #blackout #brownout #energy #geoelectrichazard #geoelectric #geostatics #GIS #spatial #mapping #spatialanalysis #spatiotemporal #model #modeling #geomagnetism #geomagneticstorm #telecommunication #electronics #hardened #geography #mitigation #preparedness #geomorphology #geomorphometry #surfacegeology #cost #economics #disaster #impacts #technology #InternetOfThings #internet #USA #review #CONUS #numericalmodeling #realtimemonitoring -
Magnetic Storms And Geoelectric Hazards
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https://doi.org/10.1146/annurev-earth-032524-012356 <-- shared paper / annual review
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#magneticstorm #electromagneticinduction #extremeevent #historicalevent #hazardanalysis #spaceweather #history #Carrington #geoelectric #humanimpacts #risk #hazard #monitoring #network #geology #geomagnetism #impedance #rock #soil #utilities #electricaltransmission #powerlines #magnetotelluric #sensor #magnetometer #blackout #brownout #energy #geoelectrichazard #geoelectric #geostatics #GIS #spatial #mapping #spatialanalysis #spatiotemporal #model #modeling #geomagnetism #geomagneticstorm #telecommunication #electronics #hardened #geography #mitigation #preparedness #geomorphology #geomorphometry #surfacegeology #cost #economics #disaster #impacts #technology #InternetOfThings #internet #USA #review #CONUS #numericalmodeling #realtimemonitoring -
Streamflow And Surface-Water Presence Data Availability Across The Conterminous United States [CONUS] - A Review For Headwater Systems
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https://doi.org/10.1002/hyp.70572 <-- shared paper
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#water #hydrography #hydrology #CONUS #USA #streamflow #surfacewater #bias #monitoring #regional #gage #gauge #headwater #stream #literaturereview #opendata #publicdata #review #spatial #spatialanalysis #mapping #USWest #sensor #remotesensing #model #modeling #research #network #probabilityofflow #permanence #ecosystems #waterresources #watermanagement #streamgage #CONUS #Lower48th #firstorder #secondorder #Strahler #distribution #spatialdistribution #communityscience #geomorphometry #hydrogeomorphology #physiography
@USGS -
Streamflow And Surface-Water Presence Data Availability Across The Conterminous United States [CONUS] - A Review For Headwater Systems
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https://doi.org/10.1002/hyp.70572 <-- shared paper
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#water #hydrography #hydrology #CONUS #USA #streamflow #surfacewater #bias #monitoring #regional #gage #gauge #headwater #stream #literaturereview #opendata #publicdata #review #spatial #spatialanalysis #mapping #USWest #sensor #remotesensing #model #modeling #research #network #probabilityofflow #permanence #ecosystems #waterresources #watermanagement #streamgage #CONUS #Lower48th #firstorder #secondorder #Strahler #distribution #spatialdistribution #communityscience #geomorphometry #hydrogeomorphology #physiography
@USGS -
Larger Forest Patches Have Greater Per-Area Productivity
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https://doi.org/10.1038/s41559-026-03075-5 <-- shared paper
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https://doi.org/10.1038/s41586-025-08688-7 <-- shared related paper
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https://doi.org/10.1641/0006-3568(2002)052[0411:FFOTCU]2.0.CO;2 <-- shared related paper
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#GIS #spatial #mapping #spatialanalysis #habitat #ecosystems #fragmented #forests #vegetation #carbonstorage #trees #logging #forestry #naturalresources #canopy #soil #moisture #foresthealth #metrics #productivity #carboncapture #contiguous #USA #CONUS #environment #sustainability #model #modeling #AI #machinelearning #geoai #carbonsequestration #forestcover -
Larger Forest Patches Have Greater Per-Area Productivity
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https://doi.org/10.1038/s41559-026-03075-5 <-- shared paper
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https://doi.org/10.1038/s41586-025-08688-7 <-- shared related paper
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https://doi.org/10.1641/0006-3568(2002)052[0411:FFOTCU]2.0.CO;2 <-- shared related paper
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#GIS #spatial #mapping #spatialanalysis #habitat #ecosystems #fragmented #forests #vegetation #carbonstorage #trees #logging #forestry #naturalresources #canopy #soil #moisture #foresthealth #metrics #productivity #carboncapture #contiguous #USA #CONUS #environment #sustainability #model #modeling #AI #machinelearning #geoai #carbonsequestration #forestcover -
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Brave Search -
The 10 Cleanest Lakes In The United States
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https://www.worldatlas.com/lakes/the-10-cleanest-lakes-in-the-united-states.html <-- shared technical article
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https://www.lake.com/company/reports/cleanest-and-dirtiest-lakes-in-america/ <-- shared 2025 Cleanest and Dirtiest Lakes in America Report
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[this post should not be seen as an endorsement of any specific organisation’s approach or views]
#water #hydrology #hydrography #waterquality #USA #CONUS #waterbody #best #worst #impaired #pollution #waterresources #cleanest #lake #waterchemistry #sampling #monitoring #NWQA #dissolvedoxygen #ammonia #lead #phosphorus #sulfate #totaldissolvedsolids #TDS #turbidity #pH #geography #hydrogeomorphology #management #planning #policy #farming #agriculture #waste #climatechange #agriculturalrunoff #drought #extremeweather
@Environmental Integrity Project -
The 10 Cleanest Lakes In The United States
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https://www.worldatlas.com/lakes/the-10-cleanest-lakes-in-the-united-states.html <-- shared technical article
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https://www.lake.com/company/reports/cleanest-and-dirtiest-lakes-in-america/ <-- shared 2025 Cleanest and Dirtiest Lakes in America Report
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[this post should not be seen as an endorsement of any specific organisation’s approach or views]
#water #hydrology #hydrography #waterquality #USA #CONUS #waterbody #best #worst #impaired #pollution #waterresources #cleanest #lake #waterchemistry #sampling #monitoring #NWQA #dissolvedoxygen #ammonia #lead #phosphorus #sulfate #totaldissolvedsolids #TDS #turbidity #pH #geography #hydrogeomorphology #management #planning #policy #farming #agriculture #waste #climatechange #agriculturalrunoff #drought #extremeweather
@Environmental Integrity Project -
The United States Magnetotelluric Array And The National Impedance Map
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https://doi.org/10.1029/2024RG000850 <-- shared paper
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https://eos.org/features/magnetic-storms-induction-hazards <-- shared ‘overview’ EOS 2014 technical article
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https://doi.org/10.3389/fspas.2025.1742847 <-- shared technical editorial
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#GIS #spatial #mapping #spaceweather #US #magnetotelluric #stations #monitoring #network #array #USMTArray #opendata #instrumentation #qualitycontrol #dataprocessing #archiving #electricalconductivity #3D #model #modeling #geology #geomagnetism #crust #mantle #CONUS #visualisation #geomagnetic #infrastructure #electricity #electricalgrid #utilities #publicgood #fedscience #fedservice #risk #hazard #mitigation #impacts #geothermal #mineralresources #exploration #magneticstorm #geoelectrichazard #earthscience #NationalImpedanceMap #conductivity #research -
The United States Magnetotelluric Array And The National Impedance Map
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https://doi.org/10.1029/2024RG000850 <-- shared paper
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https://eos.org/features/magnetic-storms-induction-hazards <-- shared ‘overview’ EOS 2014 technical article
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https://doi.org/10.3389/fspas.2025.1742847 <-- shared technical editorial
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#GIS #spatial #mapping #spaceweather #US #magnetotelluric #stations #monitoring #network #array #USMTArray #opendata #instrumentation #qualitycontrol #dataprocessing #archiving #electricalconductivity #3D #model #modeling #geology #geomagnetism #crust #mantle #CONUS #visualisation #geomagnetic #infrastructure #electricity #electricalgrid #utilities #publicgood #fedscience #fedservice #risk #hazard #mitigation #impacts #geothermal #mineralresources #exploration #magneticstorm #geoelectrichazard #earthscience #NationalImpedanceMap #conductivity #research -
First time in #NewOrleans, here for a #horror #filmfestival - but I get to see the mighty #Mississippi close to its exit from #CONUS
#water #hydrography #louisiana #commerce #history #transportation #USA
#OverlookFilmFestival -
First time in #NewOrleans, here for a #horror #filmfestival - but I get to see the mighty #Mississippi close to its exit from #CONUS
#water #hydrography #louisiana #commerce #history #transportation #USA
#OverlookFilmFestival -
River Droughtcast - Streamflow Drought Status And Forecasts [USGS]
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https://water.usgs.gov/vizlab/streamflow-drought-forecasts/ <-- shared USGS spatial/data resource with webmap
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https://water.usgs.gov/vizlab/modeling-drought/ <-- shared USGS modeling methods overview, with visualisations
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https://doi.org/10.3389/frwa.2025.1709138 | https://pubs.usgs.gov/publication/70273497 <-- shared paper|publication
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#USGS #modeling #openscience #water #USA #opendata #drought #hydrology #extremeweather #DroughtCast #mapper #streamflow #forecast #prediction #GIS #spatial #mapping #spatialanalysis #spatiotemporal #waterresources #AI #machinelearning #weather #climate #streamgage #gauge #CONUS #streamflowdrought #management #watersecurity
@USGS -
River Droughtcast - Streamflow Drought Status And Forecasts [USGS]
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https://water.usgs.gov/vizlab/streamflow-drought-forecasts/ <-- shared USGS spatial/data resource with webmap
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https://water.usgs.gov/vizlab/modeling-drought/ <-- shared USGS modeling methods overview, with visualisations
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https://doi.org/10.3389/frwa.2025.1709138 | https://pubs.usgs.gov/publication/70273497 <-- shared paper|publication
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#USGS #modeling #openscience #water #USA #opendata #drought #hydrology #extremeweather #DroughtCast #mapper #streamflow #forecast #prediction #GIS #spatial #mapping #spatialanalysis #spatiotemporal #waterresources #AI #machinelearning #weather #climate #streamgage #gauge #CONUS #streamflowdrought #management #watersecurity
@USGS -
Hype for the Future 142B: State of Alaska Explained
Introduction The State of Alaska is uniquely located largely, though not entirely, north of the Arctic Circle at the northwestern edge of North America, famously ending with the Alaskan Panhandle extending well to the south of the Arctic—as far south as approximately 54°40’ North. However, the Aleutian Islands of the State of Alaska also extend even further south than the Alaska Panhandle, with the southernmost island, Amatignak, near 51° North. Communities Within the State of […]https://novatopflex.wordpress.com/2026/03/22/hype-for-the-future-142b-state-of-alaska-explained/
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Hype for the Future 142B: State of Alaska Explained
Introduction The State of Alaska is uniquely located largely, though not entirely, north of the Arctic Circle at the northwestern edge of North America, famously ending with the Alaskan Panhandle extending well to the south of the Arctic—as far south as approximately 54°40’ North. However, the Aleutian Islands of the State of Alaska also extend even further south than the Alaska Panhandle, with the southernmost island, Amatignak, near 51° North. Communities Within the State of […]https://novatopflex.wordpress.com/2026/03/22/hype-for-the-future-142b-state-of-alaska-explained/
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US CONUS Rivers Of Dimension By Annual Flow – An Older (2013) But Still SO Useful Hydrologic Visualisation
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https://pacinst.org/american-rivers-a-graphic/ <-- shared technical post
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“... Several things stand out:
1) the massive flow of the mighty Mississippi and Columbia River systems
2) the paucity of major rivers in the western US, especially the southwestern US, where the only major rivers are the seriously over-tapped Colorado and Rio Grande Rivers
3) the local importance of the Sacramento-San Joaquin Rivers in California, which serve the state’s cities and agricultural regions…”
#visualisation #infographic #water #hydrographic #hydrology #US #USA #CONUS #flow #humanimpacts #gage #USGS #USGSgage #agriculture #transportation #rivers #waterresources #overuse #monitoring #planning #AmericanRivers #mapping #spatial #spatialanalysis #scale #symbology #proportional #symbology #bigriver #Colorado #Columbia #Mississippi #SanJoaquin #RioGrande #NHD #NationalHydrographyDataset
#PacificInstitute | #USGS | #AmericanRivers -
US CONUS Rivers Of Dimension By Annual Flow – An Older (2013) But Still SO Useful Hydrologic Visualisation
--
https://pacinst.org/american-rivers-a-graphic/ <-- shared technical post
--
“... Several things stand out:
1) the massive flow of the mighty Mississippi and Columbia River systems
2) the paucity of major rivers in the western US, especially the southwestern US, where the only major rivers are the seriously over-tapped Colorado and Rio Grande Rivers
3) the local importance of the Sacramento-San Joaquin Rivers in California, which serve the state’s cities and agricultural regions…”
#visualisation #infographic #water #hydrographic #hydrology #US #USA #CONUS #flow #humanimpacts #gage #USGS #USGSgage #agriculture #transportation #rivers #waterresources #overuse #monitoring #planning #AmericanRivers #mapping #spatial #spatialanalysis #scale #symbology #proportional #symbology #bigriver #Colorado #Columbia #Mississippi #SanJoaquin #RioGrande #NHD #NationalHydrographyDataset
#PacificInstitute | #USGS | #AmericanRivers -
Protection Of U.S. Streams Is Insufficient To Safeguard Stream Diversity And Prevent Habitat Impairment
--
https://doi.org/10.1038/s44458-025-00026-2 <-- shared paper
--
#water #surfacewater #USA #US #biodiversity #protection #streams #rivers #regulations #waterresources #watermanagement #waterquality #diversity #habitat #damage #risk #hazard #GlobalBiodiversityFramework #target #CONUS #spatialanalysis #geostatistics #geophysics #biogeographic #impacts #humanimpacts #conservation #watershed #upstream #impairment #evaluation #GAPStatus #catchment #metrics #agriculture #urban #industry #transportation #diversity -
Protection Of U.S. Streams Is Insufficient To Safeguard Stream Diversity And Prevent Habitat Impairment
--
https://doi.org/10.1038/s44458-025-00026-2 <-- shared paper
--
#water #surfacewater #USA #US #biodiversity #protection #streams #rivers #regulations #waterresources #watermanagement #waterquality #diversity #habitat #damage #risk #hazard #GlobalBiodiversityFramework #target #CONUS #spatialanalysis #geostatistics #geophysics #biogeographic #impacts #humanimpacts #conservation #watershed #upstream #impairment #evaluation #GAPStatus #catchment #metrics #agriculture #urban #industry #transportation #diversity -
Evaluating The Functional Realism Of Deep Learning Rainfall-Runoff Models Using Catchment Hydrology Principles
--
https://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 -
Evaluating The Functional Realism Of Deep Learning Rainfall-Runoff Models Using Catchment Hydrology Principles
--
https://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 -
Identifying Headwater Streams across the Conterminous United States
--
https://doi.org/10.1007/s10021-025-01041-z <-- shared paper
--
https://zenodo.org/records/16318572 <-- shared spatial related database
--
https://doi.org/10.23719/1532382 <-- shared metadata
--
#GIS #spatial #mapping #water #hydrology #headwater #stream #biogeochemical #map #spatialdistribution #density #upstream #network #spatialanalysis #landcover #hydrogeomorphology #USA #CONUS #streamdensity #national #HELiOS #model #modeling #usecase #ecology #environment #waterresources #policy #planning
@EPA -
Identifying Headwater Streams across the Conterminous United States
--
https://doi.org/10.1007/s10021-025-01041-z <-- shared paper
--
https://zenodo.org/records/16318572 <-- shared spatial related database
--
https://doi.org/10.23719/1532382 <-- shared metadata
--
#GIS #spatial #mapping #water #hydrology #headwater #stream #biogeochemical #map #spatialdistribution #density #upstream #network #spatialanalysis #landcover #hydrogeomorphology #USA #CONUS #streamdensity #national #HELiOS #model #modeling #usecase #ecology #environment #waterresources #policy #planning
@EPA -
Functional Floodplain Explorer [USA]
--
https://seal-app-r7cbc.ondigitalocean.app/ <-- shared Functional Floodplain Explorer webmap
--
https://seal-app-r7cbc.ondigitalocean.app/NFFA_Tutorial.pdf <-- shared web map tutorial
--
https://seal-app-r7cbc.ondigitalocean.app/NFFA_MethodOverview.pdf <-- shared methodology overview
--
https://seal-app-r7cbc.ondigitalocean.app/NFFA_ExeSummary.pdf <-- shared executive summary of the project, spatial datasets, etc
--
https://youtu.be/XiX_1vimFcs?si=HBUl0Bb6zdtzSLE2 <-- American Rivers Restoring Floodplains, including economics and damage
--
[this post is intended to share a US National mapping / hydrology resource, etc]
#water #hydrology #USA #National #CONUS #Alaska #Hawaii #functional #floodplains #webpab #GIS #spatial #mapping #conservation #freshwater #surfacewater #humanimpacts #risk #hazard #cost #economics #infrastructure #NationalFunctionalFloodplainsAssessment #flood #flooding #protection #mitigation #restoration #network #connectivity #natural #watersheds #protection #alteration #engineering #flow #river #waterbody #extremeweather #spatialanalysis
#AmericanRivers | #ConservationSciencePartners -
Functional Floodplain Explorer [USA]
--
https://seal-app-r7cbc.ondigitalocean.app/ <-- shared Functional Floodplain Explorer webmap
--
https://seal-app-r7cbc.ondigitalocean.app/NFFA_Tutorial.pdf <-- shared web map tutorial
--
https://seal-app-r7cbc.ondigitalocean.app/NFFA_MethodOverview.pdf <-- shared methodology overview
--
https://seal-app-r7cbc.ondigitalocean.app/NFFA_ExeSummary.pdf <-- shared executive summary of the project, spatial datasets, etc
--
https://youtu.be/XiX_1vimFcs?si=HBUl0Bb6zdtzSLE2 <-- American Rivers Restoring Floodplains, including economics and damage
--
[this post is intended to share a US National mapping / hydrology resource, etc]
#water #hydrology #USA #National #CONUS #Alaska #Hawaii #functional #floodplains #webpab #GIS #spatial #mapping #conservation #freshwater #surfacewater #humanimpacts #risk #hazard #cost #economics #infrastructure #NationalFunctionalFloodplainsAssessment #flood #flooding #protection #mitigation #restoration #network #connectivity #natural #watersheds #protection #alteration #engineering #flow #river #waterbody #extremeweather #spatialanalysis
#AmericanRivers | #ConservationSciencePartners -
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 -
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 -
Map Reveals How America's Forests Have Changed Over Time
--
https://www.newsweek.com/america-forests-change-over-time-2041291 <-- shared 2025 media article
--
https://doi.org/10.5194/essd-15-1005-2023 <-- shared 2023 paper
--
https://doi.org/10.5281/zenodo.7055086 <-- shared study datasets
--
#GIS #spatial #mapping #remotesensing #spatialanalysis #spatiotemporal #copernicus #CONUS #USA #forest #model #modeling #landuse #landcover #change #forestland #agriculture #urban #development #cities #industry #vegetation #America #humanimpacts #settlement #decline #cropland #pasture #grassland #grazing #reforestation #deforestation #urbanization #conservation #ecosystems #logging #mining #railroad #infrastructure #forestcover #NLDI #farmland #colonial #LULC #census #climate #hydrology #biogeochemical -
Map Reveals How America's Forests Have Changed Over Time
--
https://www.newsweek.com/america-forests-change-over-time-2041291 <-- shared 2025 media article
--
https://doi.org/10.5194/essd-15-1005-2023 <-- shared 2023 paper
--
https://doi.org/10.5281/zenodo.7055086 <-- shared study datasets
--
#GIS #spatial #mapping #remotesensing #spatialanalysis #spatiotemporal #copernicus #CONUS #USA #forest #model #modeling #landuse #landcover #change #forestland #agriculture #urban #development #cities #industry #vegetation #America #humanimpacts #settlement #decline #cropland #pasture #grassland #grazing #reforestation #deforestation #urbanization #conservation #ecosystems #logging #mining #railroad #infrastructure #forestcover #NLDI #farmland #colonial #LULC #census #climate #hydrology #biogeochemical -
Streams & River Names Across The USA From USGS NHDPlus
--
https://www.linkedin.com/posts/john-hammond-9b4a932b_ever-wonder-how-streams-and-rivers-differ-activity-7395939476793090048-QvLc <-- shared technical post
--
H/T John Hammond | Research Hydrologist @ USGS
“Ever wonder how streams and rivers differ in naming across the country and what the most common names are?...
----
NAME COUNT
--
Mill Creek 6,213
Spring Creek 5,862
Dry Creek 5,750
Bear Creek 4,945
Beaver Creek 4,740
Rock Creek 4,514
Indian Creek 4,231
Cedar Creek 3,849
Willow Creek 3,777
Cottonwood Ck 3,694
Big Creek 3,424
Clear Creek 3,223
Sand Creek 2,863
Deer Creek 2,781
Turkey Creek 2,752
Wolf Creek 2,701
Mud Creek 2,518
Crooked Creek 2,176
Brush Creek 2,019
Buffalo Creek 2,009
Elk Creek 1,950
Salt Creek 1,932
Horse Creek 1,899
Silver Creek 1,887…”
#water #hydrology #name #USA #NHDPlus #variety #names #rivers #streams #NGTOC #3DHP #national #country #CONUS #nomenclature
#USGS -
Streams & River Names Across The USA From USGS NHDPlus
--
https://www.linkedin.com/posts/john-hammond-9b4a932b_ever-wonder-how-streams-and-rivers-differ-activity-7395939476793090048-QvLc <-- shared technical post
--
H/T John Hammond | Research Hydrologist @ USGS
“Ever wonder how streams and rivers differ in naming across the country and what the most common names are?...
----
NAME COUNT
--
Mill Creek 6,213
Spring Creek 5,862
Dry Creek 5,750
Bear Creek 4,945
Beaver Creek 4,740
Rock Creek 4,514
Indian Creek 4,231
Cedar Creek 3,849
Willow Creek 3,777
Cottonwood Ck 3,694
Big Creek 3,424
Clear Creek 3,223
Sand Creek 2,863
Deer Creek 2,781
Turkey Creek 2,752
Wolf Creek 2,701
Mud Creek 2,518
Crooked Creek 2,176
Brush Creek 2,019
Buffalo Creek 2,009
Elk Creek 1,950
Salt Creek 1,932
Horse Creek 1,899
Silver Creek 1,887…”
#water #hydrology #name #USA #NHDPlus #variety #names #rivers #streams #NGTOC #3DHP #national #country #CONUS #nomenclature
#USGS -
U.S. Geological Survey [#USGS] Geomagnetic Variometer Data - Capitalizing On Seismic Infrastructure
-
https://doi.org/10.1785/0220250185 <-- shared paper
--
#geomagnetic #geomagnetism #USGS #USA #CONUS #seismology #seismograph #measurement #spatialanalysis #spatial #stations #SeismographicNetwork #magneticfield #readings #spatiotemporal #magnetometer #collabration #spaceweather #risk #hazard #colocation #magneticstorm #earthquake #interdisciplinary #research #sampling #multidisciplinary #fielddata #mapping #GIS #cohosted #corrleation #sampling #fedscience #fedservice #publicgood
#USGS -
U.S. Geological Survey [#USGS] Geomagnetic Variometer Data - Capitalizing On Seismic Infrastructure
-
https://doi.org/10.1785/0220250185 <-- shared paper
--
#geomagnetic #geomagnetism #USGS #USA #CONUS #seismology #seismograph #measurement #spatialanalysis #spatial #stations #SeismographicNetwork #magneticfield #readings #spatiotemporal #magnetometer #collabration #spaceweather #risk #hazard #colocation #magneticstorm #earthquake #interdisciplinary #research #sampling #multidisciplinary #fielddata #mapping #GIS #cohosted #corrleation #sampling #fedscience #fedservice #publicgood
#USGS -
New USGS Map Offers An Interactive Look At The Rocks Beneath Our Feet
The Cooperative National Geologic Map is an interactive tool that builds on both cutting-edge technology and decades of mapping by geoscientists.
--
https://eos.org/articles/new-usgs-map-offers-an-interactive-look-at-the-rocks-beneath-our-feet <-- shared EOS-source technical article
--
https://ngmdb.usgs.gov/nationalgeology/#lat=37.0000&lng=-97.5000&zoom=5&theme=esurf&symbology=synthesis <-- shared @USGS resource
--
[recognising that I posted something similar earlier ~smile~]
#GIS #spatial #mapping #data #fedopendata #fedscience #geologicmap #geology #webmap #geologicdata #energy #minerals #mining #waterresources #hydrology #risk #hazard #landuse #infrastructure #planning #realestate #insurance #rock #sediment #mapunits #compilation #criticalminerals #economicgeology #nation #mobile #fieldwork #interactivewebtool #publicgood #online #state #federal #map #usecase #energy #resources #CooperativeNationalGeologicMap #USGS #mainland #CONUS
@USGS -
New USGS Map Offers An Interactive Look At The Rocks Beneath Our Feet
The Cooperative National Geologic Map is an interactive tool that builds on both cutting-edge technology and decades of mapping by geoscientists.
--
https://eos.org/articles/new-usgs-map-offers-an-interactive-look-at-the-rocks-beneath-our-feet <-- shared EOS-source technical article
--
https://ngmdb.usgs.gov/nationalgeology/#lat=37.0000&lng=-97.5000&zoom=5&theme=esurf&symbology=synthesis <-- shared @USGS resource
--
[recognising that I posted something similar earlier ~smile~]
#GIS #spatial #mapping #data #fedopendata #fedscience #geologicmap #geology #webmap #geologicdata #energy #minerals #mining #waterresources #hydrology #risk #hazard #landuse #infrastructure #planning #realestate #insurance #rock #sediment #mapunits #compilation #criticalminerals #economicgeology #nation #mobile #fieldwork #interactivewebtool #publicgood #online #state #federal #map #usecase #energy #resources #CooperativeNationalGeologicMap #USGS #mainland #CONUS
@USGS -
Headlines August 26, 2025 from Democracy Now!
Trump Orders Creation of “Specialized” National Guard Units to Quell Civil UnrestTrump's new army threatens Civil War on the #CONUS #USA
They will risk death by their own people.
This will not "quell civil unrest, because there is none. This will create it, because #Trump always lies when he shits on people.
#Revolt #Insurrection #USA -
#Nature Direct observation of coherent elastic antineutrino–nucleus scattering www.nature.com/articles/s41... Observation of elusive interaction between neutrinos and atomic nuclei www.nature.com/articles/d41... #CONUS #Neutrinos
-
Satellite-Based Spatial-Statistical Modeling Of Daily Stream Water Temperatures At The CONUS Scale
--
https://doi.org/10.1016/j.jhydrol.2025.133321 <-- shared paper
--
#GIS #spatial #mapping #Streamtemperature #Rivertemperature #Watertemperature #Statisticalmodel #Satellite #remotesensing #ContiguousUnitedStates #CONUS #Lower48th #spatialstatistics #geostatistics #earthobservation #water #hydrology #stream #river #temperature #surfacewater #model #modeling ##seasons #weather #TempEst2 #climate #urban #natural #rural #ecoregions #ecosystems #streamgage #USGS #fedscience -
Satellite-Based Spatial-Statistical Modeling Of Daily Stream Water Temperatures At The CONUS Scale
--
https://doi.org/10.1016/j.jhydrol.2025.133321 <-- shared paper
--
#GIS #spatial #mapping #Streamtemperature #Rivertemperature #Watertemperature #Statisticalmodel #Satellite #remotesensing #ContiguousUnitedStates #CONUS #Lower48th #spatialstatistics #geostatistics #earthobservation #water #hydrology #stream #river #temperature #surfacewater #model #modeling ##seasons #weather #TempEst2 #climate #urban #natural #rural #ecoregions #ecosystems #streamgage #USGS #fedscience -
[USGS] Geologic Hydrogen Prospectivity Map Explorer
--
https://www.usgs.gov/index.php/tools/geologic-hydrogen-prospectivity-map-explorer <-- shared technical resource
--
https://doi.org/10.3133/pp1900 <-- shared USGS publication
--
https://certmapper.cr.usgs.gov/data/apps/hydrogen/ <-- link to web map
--
#GIS #spatial #mapping #remotesensing #geology #geophysics #geophysical #magnetics #gravity #gravimetric #hydrogen #geologichydrogen #fuel #fuelsource #prospecting #spatialanalysis #USA #prospectivity #webmap #CONUS #naturalhydrogen #hydrogengas #cleanfuels #fossilsfuels #climatechange #serpentinization #radiolysis #geologicprocesses #geostatistics
@USGS -
New Study Tracks The 100,000-Year Journey Of Underground Water
--
https://scitechdaily.com/new-study-tracks-the-100000-year-journey-of-underground-water/ <-- shared technical article
--
https://doi.org/10.1038/s44221-024-00366-8 <-- shared paper
--
[there is an old saw along the (flow)lines of "Surface water is just the expression of groundwater on the land"]
#GIS #spatial #mapping #water #hydrology #subsurface #groundwater #watercycle #waterresources #streamflow #surfacewater #connection #model #modeling #CONUS #USA #baseflow #sediments #aquifers #alluvium #flow #waterresources #subbasins #watershed #climatechange #contamination #rainfall #precipitation #snowmelt #continental -
Show HN: Gribstream.com – Historical Weather Forecast API
https://gribstream.com
#ycombinator #NBM_data_extraction #free #tier #time_travel #asof #historical_weather_API #weather_forecast_API #conus #datascience #historical_forecasts #forecast_history #grib_data_extraction #National_Blend_of_Models #realtime_weather_data #grib2 #timeseries -
Cropland Abandonment Between 1986 And 2018 Across The United States - Spatiotemporal Patterns And Current Land Uses
--
https://doi.org/10.1088/1748-9326/ad2d12 <-- shared paper
--
https://www.agdaily.com/crops/study-30-million-acres-cropland-abandoned-since-1980s <-- shared media article
--
#GIS #spatial #mapping #spatiotemporal #USA #spatialanalysis #crops #cropland #abandoned #remotesensing #landsat #imagery #CONUS #AI #USDA #OgallalaAquifer #GoogleEarthEngine #CNN #machinelearning #irrigation #ConservationReserveProgram #landuse #landcover #planning #management #economics -
The Mass We Made – [Calculating And] Mapping The Weight Of The Built Environment [USA]
--
https://www.maps.com/the-mass-we-made-mapping-the-weight-of-the-built-environment/ <-- shared technical article
--
https://doi.org/10.1038/s41467-023-43755-5 <-- shared paper
--
#GIS #spatial #mapping #USA #builtenvironment #structures #buildings #roads #highways #bridges #tunnels #infrastructure #mass #volume #houses #schools #pipelines #remotesensing #openstreetmap #buildingfootprints #engineering #engineeredstructures #geography #sustainability #model #model #CONUS #representation