Filters: Tags: effects of climate change (X) > partyWithName: Jay R Alder (X)
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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...
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...
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...
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 Greater Yellowstone Climate Assessment. We use the statistically downscaled MACAv2-METDATA temperature and precipitation data from 20 GCMs from the Climate Model Intercomparison Program Phase 5 (CMIP5) as input to the water balance model. 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...
Climate change information simulated by global climate models is downscaled using statistical methods to translate spatially course regional projections to finer resolutions needed by researchers and managers to assess local climate impacts. Several statistical downscaling methods have been developed over the past fifteen years, resulting in multiple datasets derived by different methods. We apply a simple monthly water-balance model (MWBM) to demonstrate how the differences among these datasets result in disparate projections of snow loss and future changes in runoff. We apply the MWBM to six statistically downscaled datasets for 14 general circulation models (GCMs) from the Climate Model Intercomparison Program...
Categories: Data;
Types: NetCDF OPeNDAP Service;
Tags: BCCA,
BCSD,
Climatology,
Contiguous United States,
LOCA,
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...
Categories: Data;
Tags: Climatology,
Contiguous United States,
Hydrology,
MACAv2-METDATA,
USGS Science Data Catalog (SDC),
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...
A monthly water-balance model (MWBM) is applied to simulate components of the water balance for the period 1950-2100 under ssp245, ssp370, and ssp585 scenarios for the Contiguous United States. The statistically downscaled LOCA2 temperature and precipitation projections from 27 GCMs from the Climate Model Intercomparison Program Phase 6 (CMIP6) are use as input to the water balance model. This data set supports the USGS National Climate Change Viewer (ver. 2). The statistically downscaled data set is: CMIP6-LOCA2: Localized Constructed Analogs (Pierce et al. 2023, bias corrected by a modified version of Livneh et al. 2013) Users interested in the downscaled temperature and precipitation files are referred to the...
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...
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...
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