/* publisuites */ Viendo los datos de los modelos climáticos desde tu casa

29 mayo 2013

Viendo los datos de los modelos climáticos desde tu casa

The Global Climate Change Viewer (GCCV) is used to visualize future temperature and precipitation changes simulated by global climate models in the Coupled Model Intercomparison Project Phase 5 (CMIP5). The application allows the user to visualize projected climate change (temperature and precipitation) for each country, for all available models and all Representative Concentration Pathways (RCP) emission scenarios (2.6, 4.5, 6.0 and 8.5). In addition, the application includes access to the currently available model simulations from the Last Glacial Maximum (LGM; 21 ka) and mid-Holocene (6 ka), which are part of the Paleoclimate Modelling Intercomparison Project phase 3 (PMIP3).

Start using the GCCV application now.

This website provides visualization and access to global and regional (downscaled) climate data. We also provide access to data, figures and other information associated with our climate change research publications. We currently are serving fine scale present and future climate data obtained from dynamical and statistical downscaling efforts. In the near future we will be adding global and regional scale paleoclimate data sets. Data related to publications will be added and updated as available.

The dynamically downscaled climate simulations were conducted with the regional climate model RegCM3 which is a high-resolution atmospheric model coupled with a physically based model of surface processes (Biosphere Atmosphere Transfer Scheme, BATS). We prescribed atmospheric composition in the RegCM3 simulations to match the 20th century and A2 scenario time series that were developed for the IPCC AR4 (Intergovernmental Panel on Climate Change, 2007) and used in the driving GCMs. We downscaled three GCM simulations to provide a range of possible climate sensitivities and we also downscaled NCEP Reanalysis to allow us to evaluate model performance relative to observations and to provide a basis for bias-correcting the three other control.

We are also hosting the statistically downscaled datasets developed by the Climate Impacts Group(CIG) in collaboration with the USDA Forest Service and the US Fish and Wildlife Service through the Great Northern Landscape Conservation Cooperative in Bozeman, MT. The suite of climate and related hydrologic variables in the CIG data sets cover the Columbia, Upper Missouri, Upper Colorado, and Great Basins. These data sets represent an ensemble of climate models with temporal coverage for historical (1916-2006) and two future time periods (2030-2059 and 2070-2099).

Información del USGS.