Weather Research and Forecasting (WRF): Puerto Rico & US Virgin Islands Dynamical Downscaled Climate Change Projections
Dates
Issued
2018-05-08
Citation
Bowden, J., Wootten, A., Terando, A., and Boyles, R., 2018, Weather Research and Forecasting (WRF): Puerto Rico and US Virgin Islands Dynamical Downscaled Climate Change Projections: U.S. Geological Survey data release, https://doi.org/10.5066/F7GB23BW.
Summary
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, was downscaled [...]
Summary
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, was downscaled for the future time slice. The output parameters saved were in response to the needs of physical scientists and other stakeholders within the islands, including ecologists, biologists, and hydrologists.
This dataset provides high-resolution dynamically downscaled climate change realizations for Puerto Rico and the US Virgin Islands assuming an aggressive greenhouse high greenhouse gas emission scenario, RCP8.5, centered on mid-century, 2040-2060. The dataset was tailored to provide dynamically downscaled model output using the Weather Research and Forecasting Model (WRF) for variables of interest at spatial and temporal scales relevant to various stakeholders within the islands, including ecologists, biologists, and hydrologists. The intent of the high-resolution dynamically downscaled dataset is to provide a 2-km model data to gain insight into climate change within the islands. This is necessary because Puerto Rico and the US Virgin Islands have distinct climate zones that are not resolved by prior climate modeling efforts. The dataset created is computationally expensive; therefore, these projections do not consider various greenhouse emission scenarios and limited to downscaling two different global climate models.
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, was downscaled for the future time slice. The output parameters saved were in response to the needs of physical scientists and other stakeholders within the islands, including ecologists, biologists, and hydrologists.
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, was downscaled for the future time slice. The output parameters saved were in response to the needs of physical scientists and other stakeholders within the islands, including ecologists, biologists, and hydrologists.
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, was downscaled for the future time slice. The output parameters saved were in response to the needs of physical scientists and other stakeholders within the islands, including ecologists, biologists, and hydrologists.
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, was downscaled for the future time slice. The output parameters saved were in response to the needs of physical scientists and other stakeholders within the islands, including ecologists, biologists, and hydrologists.
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, was downscaled for the future time slice. The output parameters saved were in response to the needs of physical scientists and other stakeholders within the islands, including ecologists, biologists, and hydrologists.
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, was downscaled for the future time slice. The output parameters saved were in response to the needs of physical scientists and other stakeholders within the islands, including ecologists, biologists, and hydrologists.
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, was downscaled for the future time slice. The output parameters saved were in response to the needs of physical scientists and other stakeholders within the islands, including ecologists, biologists, and hydrologists.
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, was downscaled for the future time slice. The output parameters saved were in response to the needs of physical scientists and other stakeholders within the islands, including ecologists, biologists, and hydrologists.
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, was downscaled for the future time slice. The output parameters saved were in response to the needs of physical scientists and other stakeholders within the islands, including ecologists, biologists, and hydrologists.
