Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content

Twelve digit hydrologic unit soil moisture and recharge from the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System

Metadata Updated: October 26, 2023

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 hydrologic units across the United States. In this release, estimates of soil moisture and recharge are added to the already released estimates of streamflow and precipitation. All these estimates are made available per twelve-digit hydrologic unit code watershed as contained in the NHDPlusV2 dataset. As this project progresses, it is expected that a complete closed water budget generated from the same water budget model will succeed this data release. For background on generation of these wate rbudget variables, see: Hay, L.E., 2019, Application of the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System (NHM-PRMS), by HRU Calibrated Version: U.S. Geological Survey data release, https://doi.org/10.5066/P9NM8K8W The water budget variables were converted to a hydrologic unit basis using area-weighted spatial interpolation. All code used for conversions are included as an attachment to this data release. Summary of Files Included: 1) hu12_ids.csv - twelve digit hydrologic unit code identifiers used in all files. 2) timesteps.csv - timesteps used in all files. 3) nhm_recharge.nc - NetCDF version of recharge data 4) nhm_recharge_grid.csv - One timestep per row version of recharge data 5) nhm_recharge_timeseries.csv - One HUC12 per row version of recharge data 6) nhm_soil_moist.nc - NetCDF version of soil moisture data 7) nhm_soil_moisture_grid.csv - One timestep per row version of soil moisture data 8) nhm_soil_moisture_timeseries.csv - One HUC12 per row version of soil moisture data 9) scripts.zip - A reproducible R workflow to create outputs implemented with the drake package.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Created Date June 1, 2023
Metadata Updated Date October 26, 2023

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date October 26, 2023
Publisher U.S. Geological Survey
Maintainer
@Id http://datainventory.doi.gov/id/dataset/b9f468d13f431273ae90fd8d1c46f87f
Identifier USGS:5cc1df57e4b09b8c0b746f39
Data Last Modified 20200820
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://datainventory.doi.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id c9c79290-8b0d-47f5-afbb-8cf1df7bb168
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -126.21093750000001,23.241346102386135,-65.39062500000001,49.95121990866204
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash df074cecf9264bfd9e3c5aff02fa7b7fec35993a5f952a35440659e398c36371
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -126.21093750000001, 23.241346102386135, -126.21093750000001, 49.95121990866204, -65.39062500000001, 49.95121990866204, -65.39062500000001, 23.241346102386135, -126.21093750000001, 23.241346102386135}

Didn't find what you're looking for? Suggest a dataset here.