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

Monthly Water Balance Model Futures

Metadata Updated: June 15, 2024

A monthly water balance model (MWBM) was driven with precipitation and temperature using a station-based dataset for current conditions (1949 to 2010) and selected statistically-downscaled general circulation models (GCMs) for current and future conditions (1950 to 2099) across the conterminous United States (CONUS) using hydrologic response units from the Geospatial Fabric for National Hydrologic Modeling (Viger and Bock, 2014). Six MWBM output variables (actual evapotranspiration (AET), potential evapotranspiration (PET), runoff (RO), streamflow (STRM), soil moisture storage (SOIL), and snow water equivalent (SWE)) and the two MWBM input variables (atmospheric temperature (TAVE) and precipitation (PPT)) were summarized for hydrologic response units and aggregated at points of interest on a stream network. Results were organized into the Monthly Water Balance Model Futures database, and accessed through the Monthly Water Balance Model Futures Portal (https://my.usgs.gov/mows/). Note that the data release changed names in January 2017 from "Hydrology Futures" to "Monthly Water Balance Model Futures" due to "Hydrology Futures" being a copyright trademark. Methods used to calibrate and parameterize the MWBM are detailed in the Hydrology and Earth System Sciences (HESS) paper "Parameter regionalization of a monthly water balance model for the conterminous United States" by Bock and others (2016). See the link in the "Related External Resources" section for access. Supplemental data files related to the plots and data analysis in Bock and others (2016) can be found in the HESS-2015-325.zip folder in the "Attached Files" section. Detailed information on the files and data can be found in the ReadMe.txt contained within the zipped folder. The data release accompanying the Earth Interactions article “Do downscaled general circulation models reliably simulate historical climatic conditions?” (Bock and others, 2018) and Advances in Water Resources article "Quantifying Uncertainty in Simulated Streamflow and Runoff from a Continental-scale Monthly Water Balance Model" is available as a child items to this page.

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 June 15, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date June 15, 2024
Publisher Climate Adaptation Science Centers
Maintainer
@Id http://datainventory.doi.gov/id/dataset/92a9f6321df93bdf16ad26bcb17097f6
Identifier 2e9758af-16fd-4ca4-8374-8b96f6ff423a
Data Last Modified 2020-08-14
Category geospatial
Public Access Level public
Bureau Code 010:00
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 496045da-9cf3-40a5-ad2b-fbd70784c416
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -127.9042,22.9469,-65.3483,51.6517
Source Datajson Identifier True
Source Hash fdb9a6e03a0a3c95ac1ef42c82d0599e8076f1b8e8feb62110f85a7f83df9cdc
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -127.9042, 22.9469, -127.9042, 51.6517, -65.3483, 51.6517, -65.3483, 22.9469, -127.9042, 22.9469}

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