10.5880/pik.2023.001 eng dataset GFZ German Research Centre for Geosciences datapub@gfz-potsdam.de http://www.gfz-potsdam.de Helmholtz-Centre Potsdam - GFZ German Research Centre for Geosciences Helmholtz-Centre Potsdam - GFZ German Research Centre for Geosciences pointOfContact 2023-12-06 urn:ogc:def:crs:EPSG:4326 BASD-CMIP6-PE: bias-adjusted and statistically downscaled CMIP6 projections over Peru and Ecuador 2023-12-06 revision doi:10.5880/pik.2023.001 Fernandez-Palomino, Carlos Antonio Research Department II – Climate Resilience, Potsdam Institute for Climate Impact Research, Potsdam, Germany; Institute of Environmental Science and Geography, University of Potsdam, Potsdam, Germany author Hattermann, Fred F Research Department II – Climate Resilience, Potsdam Institute for Climate Impact Research author Krysanova, Valentina Research Department II – Climate Resilience, Potsdam Institute for Climate Impact Research author Vega-Jácome, Fiorella Institute of Environmental Science and Geography, University of Potsdam, Potsdam, Germany author Menz, Christoph Research Department II – Climate Resilience, Potsdam Institute for Climate Impact Research author Gleixner, Stephanie Research Department II – Climate Resilience, Potsdam Institute for Climate Impact Research author Bronstert, Axel Institute of Environmental Science and Geography, University of Potsdam, Potsdam, Germany author GFZ Data Services publisher The new climate dataset, BASD-CMIP6-PE, for Peru and Ecuador is based on bias-adjusted and statistically downscaled CMIP6 climate projections from 10 GCMs. It addresses the need for reliable high-resolution (1d, 10km) climate data covering Peru and Ecuador. This dataset includes historical simulations (1850-2014) and future projections (2015-2100) for precipitation and minimum, mean, and maximum temperature under three Shared Socioeconomic Pathways (SSPs:SSP1-2.6, SSP3-7.0, and SSP5-8.5). The BASD-CMIP6-PE climate data were generated using the trend-preserving Bias Adjustment and Statistical Downscaling (BASD) method (Lange, 2019, 2021) and data from regional observational datasets such as RAIN4PE (Fernandez-Palomino et al., 2021a,b) for precipitation and PISCO-temperature (Huerta et al., 2018) for temperatures as reference data. The reliability of the BASD-CMIP6-PE was evaluated using observational data and through hydrological modeling across Peruvian and Ecuadorian river basins in the historical period. The evaluation demonstrated the dataset’s reliability in describing spatial patterns of atmospheric variables and streamflow simulation, including mean, low, and high flows. This suggests the usefulness of the new dataset for assessing regional climate change impacts on agriculture, water resources, and hydrological extremes. The BASD-CMIP6-PE data are available for the domain covering Peru and Ecuador, located between 19°S and 2°N and 82°W to 67°W, with a spatial resolution of 0.1° and a daily temporal resolution. The unit for precipitation is millimeters (mm), and for temperature, it is degrees Celsius (°C). The BASD-CMIP6-PE dataset is organized within a "daily" folder, denoting its availability at a 1 daily temporal resolution. Within this directory, four subfolders are present: "historical" containing historical data, "ssp126" for SSP1-2.6, "ssp370" for SSP3-7.0, and "ssp585" for SSP5-8.5. Each of these subfolders further includes ten distinct folders, corresponding to different GCMs: CanESM5, IPSL–CM6A–LR, UKESM1–0–LL, CNRM–CM6–1, CNRM–ESM2–1, MIROC6, GFDL–ESM4, MRI–ESM2–0, MPI–ESM1–2–HR, and EC–Earth3. These folders store the data in the NetCDF format arranged by model, model member, experiment, variable, temporal resolution, and subset period, resulting in file names like "canesm5_r1i1p1f1_ssp126_pr_daily_2015_2020.nc". For a detailed description of the BASD-CMIP6-PE development and evaluation, readers are advised to read Fernandez-Palomino et al. (2023), for which this dataset is supplementary material. Fernandez-Palomino Research Department II – Climate Resilience, Potsdam Institute for Climate Impact Research, Potsdam, Germany Carlos Antonio palomino@pik-potsdam.de pointOfContact CMIP6 projections climate models climate change high-resolution precipitation temperature Peru Ecuador Andes Amazon EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE EARTH SCIENCE > ATMOSPHERE > PRECIPITATION NASA/GCMD Earth Science Keywords publication CC BY 4.0 CC BY 4.0 DOI of paper when available DOI IsSupplementTo 10.5880/pik.2020.010 DOI Cites 10.1175/JHM-D-20-0285.1 DOI Cites 10.5194/gmd-12-3055-2019 DOI Cites 10.5281/ZENODO.4686991 DOI Cites eng geoscientificInformation -82 -67 -19 2 1850-01-01 2100-12-31 http://doi.org/10.5880/pik.2023.001 WWW:LINK-1.0-http--link Data Access - DOI Data Access - DOI information