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Collection of Hydrologic Models, Reanalysis Datasets, and Remote Sensing Products Aggregated by Ecoregion over the CONUS from 1900 to 2018

Dates

Publication Date
Start Date
1900
End Date
2018

Citation

Saxe, S.W., Farmer, W.H., Driscoll, J.M., and Hogue, T., 2020, Collection of Hydrologic Models, Reanalysis Datasets, and Remote Sensing Products Aggregated by Ecoregion over the CONUS from 1900 to 2018: U.S. Geological Survey data release, https://doi.org/10.5066/P9588YM2.

Summary

This is accompanying data produced for the study "Implications of Model Selection: Inter-Comparison of Publicly-Available, CONUS-Extent Hydrologic Component Estimates". These datasets were converted from their primary structures (rasters and shapefiles) to EPA Ecoregions Level I. Conversion was performed by averaging timestep layers via mean area weight to produce a single vector of monthly values for each ecoregion, for each of the following hydrologic cycle components: precipitation (P), actual evapotranspiration (AET), runoff (R), snow water equivalent (SWE), rootzone soil moisture in equivalent water depth (RZSME), and rootzone soil moisture in volumetric water content (RZSMV).

Contacts

Point of Contact :
Samuel W Saxe
Process Contact :
Samuel W Saxe
Originator :
Samuel W Saxe, William H Farmer, Jessica M Driscoll, Terri Hogue
Metadata Contact :
Samuel W Saxe
Publisher :
U.S. Geological Survey
Distributor :
U.S. Geological Survey - ScienceBase
USGS Mission Area :
Water Resources
SDC Data Owner :
Integrated Modeling & Prediction Division

Attached Files

Click on title to download individual files attached to this item.

Ecoregions.zip 1.35 MB application/zip
Calculate Weighted Averages of Rasters at Polygons.R 7.67 KB text/x-rsrc
Metadata.xml
Original FGDC Metadata

View
56.92 KB application/fgdc+xml
Ecoregion Aggregates.csv 35.8 MB text/csv

Purpose

Data were obtained in order to quantitatively compare estimates of the hydrologic cycle across the conterminous United States. Estimates used in this study were generated by government and university research organizations by applying hydrologic modeling, remote sensing observations, and reanalysis algorithms.

Rights

Users are advised to read the data set metadata thoroughly to understand appropriate use and data limitations. Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.

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Communities

  • USGS Data Release Products

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Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9588YM2

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