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LOCA is a statistical downscaling technique that uses past history to add improved fine-scale detail to global climate models. We have used LOCA to downscale 32 global climate models from the CMIP5 archive at a 1/16th degree spatial resolution, covering North America from central Mexico through Southern Canada. The historical period is 1950-2005, and there are two future scenarios available: RCP 4.5 and RCP 8.5 over the period 2006-2100 (although some models stop in 2099). The variables currently available are daily minimum and maximum temperature, and daily precipitation. For more information visit: http://loca.ucsd.edu/
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Actual ET (ETa) is produced using the operational Simplified Surface Energy Balance (SSEBop) model (Senay and others, 2013) for the period 2000 to present. The SSEBop setup is based on the Simplified Surface Energy Balance (SSEB) approach (Senay and others, 2007, 2011) with unique parameterization for operational applications. It combines ET fractions generated from remotely sensed MODIS thermal imagery, acquired every 8 days, with reference ET using a thermal index approach. The unique feature of the SSEBop parameterization is that it uses pre-defined, seasonally dynamic, boundary conditions that are unique to each pixel for the hot/dry and cold/wet reference points. Reference: Senay, G. B., Bohms, S., Singh, R....
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NOTICE: Given the large size of the MACAv2METDATA dataset, and a known issue with the data server being used to host it, initial load times may take a very long time and / or time out. Subsequent requests should be faster due to caching, but the cache clears periodically and the dataset must be rescanned prior to access. We are working on a fix for this issue. In the mean time, please use the dataset with care and make sureyou've reviewed the GDP scalability guidelines. https://my.usgs.gov/confluence/display/GeoDataPortal/Geo+Data+Portal+Scalability+Guidelines This archive contains daily downscaled meteorological and hydrological projections for the Conterminous United States at 1/24-deg resolution utilizing the...
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This archive contains daily downscaled meteorological and hydrological projections for the Columbia Basin in the United States at 1/16-deg resolution utilizing 9 different downscaling methods. The downscaled meteorological variables are maximum/minimum temperature(tasmax/tasmin), precipitation amount(pr), downward shortwave solar radiation(rsds), wind speed(was), and specific humidity(huss). The downscaling is based on the CCSM3e model from Phase 3 of the Coupled Model Inter-comparison Project (CMIP3) utlizing the historical 20C3M (1971-1999) and future SRESA2(2041-2070) scenarios. The downscaling methods include 3 statistical downscaling methods: Multivariate Adaptive Constructed Analogs (MACA) and monthly(and...
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Actual ET (ETa) is produced using the operational Simplified Surface Energy Balance (SSEBop) model (Senay and others, 2013) for the period 2000 to present. The SSEBop setup is based on the Simplified Surface Energy Balance (SSEB) approach (Senay and others, 2007, 2011) with unique parameterization for operational applications. It combines ET fractions generated from remotely sensed MODIS thermal imagery, acquired every 8 days, with reference ET using a thermal index approach. The unique feature of the SSEBop parameterization is that it uses pre-defined, seasonally dynamic, boundary conditions that are unique to each pixel for the hot/dry and cold/wet reference points. Reference: Senay, G. B., Bohms, S., Singh, R....
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-- Methods -- The Weather Research and Forecast model (WRF) is applied to construct triply-nested meshes. The outermost domain (20-km horizontal resolution) is large enough to cover almost the whole tropical and subtropical areas from the central Pacific to the western Pacific. The intermediate domain has 4-km horizontal resolution, and the innermost domain of each individual island has a horizontal resolution of 0.8 km. The driving fields for the atmosphere are the NASA Modern-Era Retrospective Analysis for Research and Applications reanalysis, and the sea surface temperature (SST) is from NOAA. Variables in the driving fields include temperature, wind, geopotential height, water vapor, etc. For the future runs,...
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LOCA is a statistical downscaling technique that uses past history to add improved fine-scale detail to global climate models. We have used LOCA to downscale 32 global climate models from the CMIP5 archive at a 1/16th degree spatial resolution, covering North America from central Mexico through Southern Canada. The historical period is 1950-2005, and there are two future scenarios available: RCP 4.5 and RCP 8.5 over the period 2006-2100 (although some models stop in 2099). The variables currently available are daily minimum and maximum temperature, and daily precipitation. For more information visit: http://loca.ucsd.edu/
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The Weather Research and Forecasting (WRF) model was used to downscale select general circulation models (GCMs) that participated in the Coupled Model Intercomparison Project (CMIP5). WRF was used to produce output at a 2-km horizontal resolution for Puerto Rico and the US Virgin Islands by applying a 30-km/10- km/2-km one-way nest. Data from each nest was archived. Two twenty-year time slices from two CMIP5 GCMs were dynamically downscaled using WRF, a historical time slice (1985-2005) and a future time slice (2040-2060). The CMIP5 GCMs downscaled included the Community Climate System Model (CCSM4) and the Centre National de Recherches Meteorologiques-CERFACS (CNRM). The high Greenhouse Gas Emission Scenario, RCP8.5,...
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This archive contains daily downscaled meteorological and hydrological projections for the Columbia Basin in the United States at 1/16-deg resolution utilizing 9 different downscaling methods. The downscaled meteorological variables are maximum/minimum temperature(tasmax/tasmin), precipitation amount(pr), downward shortwave solar radiation(rsds), wind speed(was), and specific humidity(huss). The downscaling is based on the CCSM3e model from Phase 3 of the Coupled Model Inter-comparison Project (CMIP3) utlizing the historical 20C3M (1971-1999) and future SRESA2(2041-2070) scenarios. The downscaling methods include 3 statistical downscaling methods: Multivariate Adaptive Constructed Analogs (MACA) and monthly(and...
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NOTICE: Given the large size of the MACAv2METDATA dataset, and a known issue with the data server being used to host it, initial load times may take a very long time and / or time out. Subsequent requests should be faster due to caching, but the cache clears periodically and the dataset must be rescanned prior to access. We are working on a fix for this issue. In the mean time, please use the dataset with care and make sureyou've reviewed the GDP scalability guidelines. https://my.usgs.gov/confluence/display/GeoDataPortal/Geo+Data+Portal+Scalability+Guidelines This archive contains daily downscaled meteorological and hydrological projections for the Conterminous United States at 1/24-deg resolution utilizing the...
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The Weather Research and Forecasting (WRF) model was used to downscale select general circulation models (GCMs) that participated in the Coupled Model Intercomparison Project (CMIP5). WRF was used to produce output at a 2-km horizontal resolution for Puerto Rico and the US Virgin Islands by applying a 30-km/10- km/2-km one-way nest. Data from each nest was archived. Two twenty-year time slices from two CMIP5 GCMs were dynamically downscaled using WRF, a historical time slice (1985-2005) and a future time slice (2040-2060). The CMIP5 GCMs downscaled included the Community Climate System Model (CCSM4) and the Centre National de Recherches Meteorologiques-CERFACS (CNRM). The high Greenhouse Gas Emission Scenario, RCP8.5,...
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-- Methods -- The Weather Research and Forecast model (WRF) is applied to construct triply-nested meshes. The outermost domain (20-km horizontal resolution) is large enough to cover almost the whole tropical and subtropical areas from the central Pacific to the western Pacific. The intermediate domain has 4-km horizontal resolution, and the innermost domain of each individual island has a horizontal resolution of 0.8 km. The driving fields for the atmosphere are the NASA Modern-Era Retrospective Analysis for Research and Applications reanalysis, and the sea surface temperature (SST) is from NOAA. Variables in the driving fields include temperature, wind, geopotential height, water vapor, etc. For the future runs,...


    map background search result map search result map Simplified Surface Energy Balance Actual Evapotranspiration data for the Conterminous U.S. Columbia River Basin Daily MACA-VIC Results Multivariate Adaptive Constructed Analogs (MACA) CMIP5 Statistically Downscaled Data for Coterminous USA Projected Future LOCA Statistical Downscaling (Localized Constructed Analogs) Statistically downscaled CMIP5 climate projections for North America Dynamical Downscaled and Projected Climate for the US Pacific Islands Weather Research and Forecasting (WRF): Puerto Rico & US Virgin Islands Dynamical Downscaled Climate Change Projections Simplified Surface Energy Balance Actual Evapotranspiration data for the Conterminous U.S. Dynamical Downscaled and Projected Climate for the US Pacific Islands Weather Research and Forecasting (WRF): Puerto Rico & US Virgin Islands Dynamical Downscaled Climate Change Projections Columbia River Basin Daily MACA-VIC Results Multivariate Adaptive Constructed Analogs (MACA) CMIP5 Statistically Downscaled Data for Coterminous USA Projected Future LOCA Statistical Downscaling (Localized Constructed Analogs) Statistically downscaled CMIP5 climate projections for North America Columbia River Basin Daily MACA-VIC Results Columbia River Basin Daily MACA-VIC Results Weather Research and Forecasting (WRF): Puerto Rico & US Virgin Islands Dynamical Downscaled Climate Change Projections Weather Research and Forecasting (WRF): Puerto Rico & US Virgin Islands Dynamical Downscaled Climate Change Projections Multivariate Adaptive Constructed Analogs (MACA) CMIP5 Statistically Downscaled Data for Coterminous USA Multivariate Adaptive Constructed Analogs (MACA) CMIP5 Statistically Downscaled Data for Coterminous USA Simplified Surface Energy Balance Actual Evapotranspiration data for the Conterminous U.S. Simplified Surface Energy Balance Actual Evapotranspiration data for the Conterminous U.S. Projected Future LOCA Statistical Downscaling (Localized Constructed Analogs) Statistically downscaled CMIP5 climate projections for North America Projected Future LOCA Statistical Downscaling (Localized Constructed Analogs) Statistically downscaled CMIP5 climate projections for North America Dynamical Downscaled and Projected Climate for the US Pacific Islands Dynamical Downscaled and Projected Climate for the US Pacific Islands