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Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present the results of a geospatial surface-water connectivity model in support of ecological investigations fully described in the USGS Open File Report entitled “Indicators of Ecosystem Structure and Function for the Upper Mississippi River System” (De Jager et al., in review). Briefly, we identified likely instances of floodplain submergence by comparing a daily time series of gage-derived water surface elevations to topo-bathymetric data modified to account for slopes and hydrologic routing. The resulting raster attribute table contains columns...
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Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present the results of a geospatial surface-water connectivity model in support of ecological investigations fully described in the USGS Open File Report entitled “Indicators of Ecosystem Structure and Function for the Upper Mississippi River System” (De Jager et al., in review). Briefly, we identified likely instances of floodplain submergence by comparing a daily time series of gage-derived water surface elevations to topo-bathymetric data modified to account for slopes and hydrologic routing. The resulting raster attribute table contains columns...
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Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present the results of a geospatial surface-water connectivity model in support of ecological investigations fully described in the USGS Open File Report entitled “Indicators of Ecosystem Structure and Function for the Upper Mississippi River System” (De Jager et al., in review). Briefly, we identified likely instances of floodplain submergence by comparing a daily time series of gage-derived water surface elevations to topo-bathymetric data modified to account for slopes and hydrologic routing. The resulting raster attribute table contains columns...
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Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present the results of a geospatial surface-water connectivity model in support of ecological investigations fully described in the USGS Open File Report entitled “Indicators of Ecosystem Structure and Function for the Upper Mississippi River System” (De Jager et al., in review). Briefly, we identified likely instances of floodplain submergence by comparing a daily time series of gage-derived water surface elevations to topo-bathymetric data modified to account for slopes and hydrologic routing. The resulting raster attribute table contains columns...
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The U.S. Geological Survey (USGS) in cooperation with the Harris‐Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, Lone Star Groundwater Conservation District, and Brazoria County Groundwater Conservation District produced this dataset of groundwater‐level altitudes and groundwater‐level altitude changes in the Chicot and Evangeline aquifers (undifferentiated), and Jasper aquifer in the greater Houston area, Texas. This dataset shows current‐year (2023) groundwater‐level altitudes for each aquifer as well as 1–year (2022–23), and 5‐year (2018–23) groundwater‐level changes for each aquifer, long‐term (1990–2023 and 1977–2023) groundwater‐level changes for the Chicot and Evangeline aquifers...
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A steady-state groundwater flow model was developed for watersheds on the north shore of Long Island Sound in coastal Connecticut and adjacent areas of New York and Rhode Island. As part of the analysis, groundwater travel times and the components of the groundwater budget were calculated for each HUC12 basin within the model domain and for the watersheds of selected embayments identified by the Connecticut Department of Energy and Environmental Protection. The seaward boundaries of the HUC12 basins were extended to include adjacent coastal waters. This compilation includes shapefiles of the HUC12 basins and of the watersheds of selected embayments. Shapefiles of the selected embayments without the corresponding...
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This data set provides locations and values of water quality parametersters from a survey conducted on August 23, 2016 using an Autonomous Underwater Vehicle (AUV) in Nicoll Bay, NY. During the August 23 survey, 13,910 observations of water quality parameters were made. Parameters collected include dissolved oxygen, pH, water temperature, specific conductance, and salinity. Data was collected in approximately east-west transects by the AUV, with the northern-most transects made first. Data was collected between the hours of 1 am and 5 am to obtain minimum DO values in the daily cycle. There are three files available for download in the 'Attached Files' section below. There is a zip file which contains the observation...
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This dataset is the result of measurements of groundwater levels in the Equus Beds aquifer near Wichita, Kansas, in January 2016. Potentiometric surfaces are interpolated for the shallow and deep parts of the aquifer, and rasters of the potentiometric surfaces are included in this data release. Wells were classified as being screened in the shallow or deep parts of the aquifer based on station name (some wells have a layer identifier in the station name) or, if no indication of aquifer layer was given in the station name, based on the depth of the well; wells with depths less than 80 feet below land surface were classified as shallow and wells with depths of 80 feet or deeper were classified as deep. Contours with...
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Stream networks with reservoirs provide a particularly hard modeling challenge because reservoirs can decouple physical processes (e.g., water temperature dynamics in streams) from atmospheric signals. Including observed reservoir releases as inputs to models can improve water temperature predictions below reservoirs, but many reservoirs are not well-observed. This data release contains predictions from stream temperature models described in Jia et al. 2022, which describes different deep learning and process-guided deep learning model architectures that were developed to handle scenarios of missing reservoir releases. The spatial extent of this modeling effort was restricted to two spatially disjointed regions...


map background search result map search result map Groundwater Levels in the Equus Beds Aquifer near Wichita, Kansas, January 2016 (deep raster) August 23, 2016 AUV Survey - Observation Point Data UMRS Floodplain Inundation Attributes - Illinois River Reach - Marseilles Pool UMRS Floodplain Inundation Attributes - Pool 5A UMRS Floodplain Inundation Attributes - Pool 7 UMRS Floodplain Inundation Attributes - Pool 13 Summary simulated groundwater budgets and travel times for watersheds on the north shore of Long Island Sound Stream temperature predictions in the Delaware River Basin using pseudo-prospective learning and physical simulations Groundwater-Level Altitudes and Long-Term Groundwater-Level Changes in the Chicot and Evangeline (Undifferentiated) and Jasper Aquifers, Greater Houston area, Texas, 2023 UMRS Floodplain Inundation Attributes - Pool 5A UMRS Floodplain Inundation Attributes - Pool 7 UMRS Floodplain Inundation Attributes - Illinois River Reach - Marseilles Pool Groundwater Levels in the Equus Beds Aquifer near Wichita, Kansas, January 2016 (deep raster) UMRS Floodplain Inundation Attributes - Pool 13 Stream temperature predictions in the Delaware River Basin using pseudo-prospective learning and physical simulations Groundwater-Level Altitudes and Long-Term Groundwater-Level Changes in the Chicot and Evangeline (Undifferentiated) and Jasper Aquifers, Greater Houston area, Texas, 2023 Summary simulated groundwater budgets and travel times for watersheds on the north shore of Long Island Sound