Search Data.gov
Found 1355 dataset(s) matching "hydrologic process".
-
To quantify seepage losses from the Medina and Diversion Lake system that provide recharge to the Edwards aquifer and upper zone of the Trinity aquifer, daily water budgets were analyzed for March...
-
This file (wymt_ffa_2022Yellowstone.psf) contains specifications to run PeakFQ version 7.4.1 for peak-flow frequency analyses for selected streamgages based on data through water year 2022.
-
This file (wymt_ffa_2022A.psf) contains specifications to run PeakFQ version 7.4 for peak-flow frequency analyses for selected streamgages based on data through water year 2022.
-
The USGS Wyoming-Montana Water Science Center (WY–MT WSC) completed a report (Sando and McCarthy, 2018) documenting methods for peak-flow frequency analysis following implementation of the...
-
This file (wymt_ffa_2018C.psf) contains specifications to run PeakFQ version 7.3 for peak-flow frequency analyses for selected streamgages in Carbon County, Montana, based on data through water year 2018.
-
This data release contains inputs for and outputs from hydrologic simulations for the conterminous United States (CONUS) using the Precipitation Runoff Modeling System (PRMS) version 5.2.1 and the...
-
The U.S. Geological Survey Oregon Water Science Center, in cooperation with The Klamath Tribes initiated a project to understand changes in the surface-water extent of Klamath Marsh, Oregon and...
-
This work contributes to an understanding of the hydrologic cycle of the State of Alaska and the part of the Canadian Yukon Territory draining into Alaska. For purposes of this study, the domain...
-
This data release contains results of peak-flow frequency analyses for selected streamgages in the lower Red River of the North and Pembina River basins in North Dakota along with information...
-
This data release contains inputs for and outputs from hydrologic simulations for the Hawai‘i (HI) domain using the Precipitation Runoff Modeling System (PRMS) version 5.2.1.1 for the...
-
This child item contains results of peak-flow frequency analyses for selected streamgages based on data through water year 2022. The analyses were performed using the methods documented in...
-
This dataset is part of the National Water Census Water Budget Estimation and Evaluation Project's ongoing development of best estimates of daily historical water budgets for over 100,000...
-
This file (wymt_ffa_2019Teton.psf) contains specifications to run PeakFQ for peak-flow frequency analyses for selected streamgages in and near Teton County, Montana, based on data through water year 2019.
-
This section of the data release includes core images in the format of photos (JPG) that have been compressed into a zipped file (2018LakePowellCoring_CorePhotos.zip). It is Part 4 (of four) in...
-
This file (wymt_ffa_2022B_WATSTORE.txt) contains peak-flow input data for PeakFQ for peak-flow frequency analyses for selected streamgages based on data through water year 2022. The file format is...
-
This data release contains six zipped raster files of thermal infrared (TIR) images of the South Loup River, North Loup River, and Dismal River named as LowerSouthLoup_AerialTIRImage_1m_2015.zip,...
-
WATSTORE Peak-flow data for selected streamgages in Montana, North Dakota, South Dakota, and Wyoming
This file contains peak-flow data for selected streamgages based on data through water year 2022. The file format is called WATSTORE (National Water Data Storage and Retrieval System) available...
-
This dataset is part of the National Water Census Water Budget Estimation and Evaluation Project's ongoing development of best estimates of daily historical water budgets for about 100,000...
-
This file (wymt_ffa_2019Powell.psf) contains specifications to run PeakFQ for peak-flow frequency analyses for selected streamgages in and near Powell County, Montana, based on data through water...
-
This section of the data release includes core and core section information in the format of a comma-separated value (CSV) file (2018LakePowellCoring_CoreSectionInfo.csv). It is Part 2 (of four)...
