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.

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.

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.

We apply a monthly water-balance model (MWBM) to simulate components of the water balance for the period 1950-2099 under RCP4.5 and RCP8.5 for the Contiguous United States. We use the statistically downscaled MACAv2-METDATA temperature and precipitation data from 20 General Circulation Models (GCMs) from the Climate Model Intercomparison Program Phase 5 (CMIP5) as input to the water balance model. This dataset supports the USGS National Climate Change Viewer. The statistically downscaled dataset is: MACAv2-METDATA: Multivariate Adaptive Constructed Analogs (Abatzoglou & Brown, 2012, bias corrected by METDATA, Abatzoglou, 2013) Users interested in the downscaled temperature and precipitation files are referred to the dataset home page: MACAv2-METDATA: http://maca.northwestknowledge.net The 20 included GCMs are: bcc-csm1-1-m, bcc-csm1-1, BNU-ESM, CanESM2, CCSM4, CNRM-CM5, CSIRO-Mk3-6-0, GFDL-ESM2G, GFDL-ESM2M, HadGEM2 CC365, HadGEM2-ES365, inmcm4,IPSL-CM5A-LR, IPSL CM5A-MR, IPSL-CM5B-LR, MIROC5, MIROC-ESM, MIROC ESM CHEM, MRI-CGCM3, NorESM1-M

We apply a monthly water-balance model (MWBM) to simulate components of the water balance for the period 1950-2099 under RCP4.5 and RCP8.5 for the Contiguous United States. We use the statistically downscaled MACAv2-METDATA temperature and precipitation data from 20 General Circulation Models (GCMs) from the Climate Model Intercomparison Program Phase 5 (CMIP5) as input to the water balance model. This dataset supports the USGS National Climate Change Viewer. The statistically downscaled dataset is: MACAv2-METDATA: Multivariate Adaptive Constructed Analogs (Abatzoglou & Brown, 2012, bias corrected by METDATA, Abatzoglou, 2013) Users interested in the downscaled temperature and precipitation files are referred to the dataset home page: MACAv2-METDATA: http://maca.northwestknowledge.net The 20 included GCMs are: bcc-csm1-1-m, bcc-csm1-1, BNU-ESM, CanESM2, CCSM4, CNRM-CM5, CSIRO-Mk3-6-0, GFDL-ESM2G, GFDL-ESM2M, HadGEM2 CC365, HadGEM2-ES365, inmcm4,IPSL-CM5A-LR, IPSL CM5A-MR, IPSL-CM5B-LR, MIROC5, MIROC-ESM, MIROC ESM CHEM, MRI-CGCM3, NorESM1-M

We apply a monthly water-balance model (MWBM) to simulate components of the water balance for the period 1950-2099 under RCP4.5 and RCP8.5 for the Contiguous United States. We use the statistically downscaled MACAv2-METDATA temperature and precipitation data from 20 General Circulation Models (GCMs) from the Climate Model Intercomparison Program Phase 5 (CMIP5) as input to the water balance model. This dataset supports the USGS National Climate Change Viewer. The statistically downscaled dataset is: MACAv2-METDATA: Multivariate Adaptive Constructed Analogs (Abatzoglou & Brown, 2012, bias corrected by METDATA, Abatzoglou, 2013) Users interested in the downscaled temperature and precipitation files are referred to the dataset home page: MACAv2-METDATA: http://maca.northwestknowledge.net The 20 included GCMs are: bcc-csm1-1-m, bcc-csm1-1, BNU-ESM, CanESM2, CCSM4, CNRM-CM5, CSIRO-Mk3-6-0, GFDL-ESM2G, GFDL-ESM2M, HadGEM2 CC365, HadGEM2-ES365, inmcm4,IPSL-CM5A-LR, IPSL CM5A-MR, IPSL-CM5B-LR, MIROC5, MIROC-ESM, MIROC ESM CHEM, MRI-CGCM3, NorESM1-M

We apply a monthly water-balance model (MWBM) to simulate components of the water balance for the period 1950-2099 under RCP4.5 and RCP8.5 for the Contiguous United States. We use the statistically downscaled MACAv2-METDATA temperature and precipitation data from 20 General Circulation Models (GCMs) from the Climate Model Intercomparison Program Phase 5 (CMIP5) as input to the water balance model. This dataset supports the USGS National Climate Change Viewer. The statistically downscaled dataset is: MACAv2-METDATA: Multivariate Adaptive Constructed Analogs (Abatzoglou & Brown, 2012, bias corrected by METDATA, Abatzoglou, 2013) Users interested in the downscaled temperature and precipitation files are referred to the dataset home page: MACAv2-METDATA: http://maca.northwestknowledge.net The 20 included GCMs are: bcc-csm1-1-m, bcc-csm1-1, BNU-ESM, CanESM2, CCSM4, CNRM-CM5, CSIRO-Mk3-6-0, GFDL-ESM2G, GFDL-ESM2M, HadGEM2 CC365, HadGEM2-ES365, inmcm4,IPSL-CM5A-LR, IPSL CM5A-MR, IPSL-CM5B-LR, MIROC5, MIROC-ESM, MIROC ESM CHEM, MRI-CGCM3, NorESM1-M

We apply a monthly water-balance model (MWBM) to simulate components of the water balance for the period 1950-2099 under RCP4.5 and RCP8.5 for the Contiguous United States. We use the statistically downscaled MACAv2-METDATA temperature and precipitation data from 20 General Circulation Models (GCMs) from the Climate Model Intercomparison Program Phase 5 (CMIP5) as input to the water balance model. This dataset supports the USGS National Climate Change Viewer. The statistically downscaled dataset is: MACAv2-METDATA: Multivariate Adaptive Constructed Analogs (Abatzoglou & Brown, 2012, bias corrected by METDATA, Abatzoglou, 2013) Users interested in the downscaled temperature and precipitation files are referred to the dataset home page: MACAv2-METDATA: http://maca.northwestknowledge.net The 20 included GCMs are: bcc-csm1-1-m, bcc-csm1-1, BNU-ESM, CanESM2, CCSM4, CNRM-CM5, CSIRO-Mk3-6-0, GFDL-ESM2G, GFDL-ESM2M, HadGEM2 CC365, HadGEM2-ES365, inmcm4,IPSL-CM5A-LR, IPSL CM5A-MR, IPSL-CM5B-LR, MIROC5, MIROC-ESM, MIROC ESM CHEM, MRI-CGCM3, NorESM1-M

We apply a monthly water-balance model (MWBM) to simulate components of the water balance for the period 1950-2099 under RCP4.5 and RCP8.5 for the Contiguous United States. We use the statistically downscaled MACAv2-METDATA temperature and precipitation data from 20 General Circulation Models (GCMs) from the Climate Model Intercomparison Program Phase 5 (CMIP5) as input to the water balance model. This dataset supports the USGS National Climate Change Viewer. The statistically downscaled dataset is: MACAv2-METDATA: Multivariate Adaptive Constructed Analogs (Abatzoglou & Brown, 2012, bias corrected by METDATA, Abatzoglou, 2013) Users interested in the downscaled temperature and precipitation files are referred to the dataset home page: MACAv2-METDATA: http://maca.northwestknowledge.net The 20 included GCMs are: bcc-csm1-1-m, bcc-csm1-1, BNU-ESM, CanESM2, CCSM4, CNRM-CM5, CSIRO-Mk3-6-0, GFDL-ESM2G, GFDL-ESM2M, HadGEM2 CC365, HadGEM2-ES365, inmcm4,IPSL-CM5A-LR, IPSL CM5A-MR, IPSL-CM5B-LR, MIROC5, MIROC-ESM, MIROC ESM CHEM, MRI-CGCM3, NorESM1-M

We apply a monthly water-balance model (MWBM) to simulate components of the water balance for the period 1950-2099 under RCP4.5 and RCP8.5 for the Contiguous United States. We use the statistically downscaled MACAv2-METDATA temperature and precipitation data from 20 General Circulation Models (GCMs) from the Climate Model Intercomparison Program Phase 5 (CMIP5) as input to the water balance model. This dataset supports the USGS National Climate Change Viewer. The statistically downscaled dataset is: MACAv2-METDATA: Multivariate Adaptive Constructed Analogs (Abatzoglou & Brown, 2012, bias corrected by METDATA, Abatzoglou, 2013) Users interested in the downscaled temperature and precipitation files are referred to the dataset home page: MACAv2-METDATA: http://maca.northwestknowledge.net The 20 included GCMs are: bcc-csm1-1-m, bcc-csm1-1, BNU-ESM, CanESM2, CCSM4, CNRM-CM5, CSIRO-Mk3-6-0, GFDL-ESM2G, GFDL-ESM2M, HadGEM2 CC365, HadGEM2-ES365, inmcm4,IPSL-CM5A-LR, IPSL CM5A-MR, IPSL-CM5B-LR, MIROC5, MIROC-ESM, MIROC ESM CHEM, MRI-CGCM3, NorESM1-M