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High resolution climate change observations and projections for the evaluation of heat-related extremes.
Williams, Emily; Funk, Chris; Peterson, Pete; Tuholske, Cascade.
Afiliación
  • Williams E; Climate Hazards Center, University of California, Santa Barbara, CA, 93106, USA. emilywilliams@ucmerced.edu.
  • Funk C; Sierra Nevada Research Institute, University of California, Merced, CA, 95343, USA. emilywilliams@ucmerced.edu.
  • Peterson P; Climate Hazards Center, University of California, Santa Barbara, CA, 93106, USA. chris.funk@geog.ucsb.edu.
  • Tuholske C; Climate Hazards Center, University of California, Santa Barbara, CA, 93106, USA.
Sci Data ; 11(1): 261, 2024 Mar 01.
Article en En | MEDLINE | ID: mdl-38429277
ABSTRACT
The Climate Hazards Center Coupled Model Intercomparison Project Phase 6 climate projection dataset (CHC-CMIP6) was developed to support the analysis of climate-related hazards, including extreme humid heat and drought conditions, over the recent past and in the near-future. Global daily high resolution (0.05°) grids of the Climate Hazards InfraRed Temperature with Stations temperature product, the Climate Hazards InfraRed Precipitation with Stations precipitation product, and ERA5-derived relative humidity form the basis of the 1983-2016 historical record, from which daily Vapor Pressure Deficits (VPD) and maximum Wet Bulb Globe Temperatures (WBGTmax) were derived. Large CMIP6 ensembles from the Shared Socioeconomic Pathway 2-4.5 and SSP 5-8.5 scenarios were then used to develop high resolution daily 2030 and 2050 'delta' fields. These deltas were used to perturb the historical observations, thereby generating 0.05° 2030 and 2050 projections of daily precipitation, temperature, relative humidity, and derived VPD and WBGTmax. Finally, monthly counts of frequency of extremes for each variable were derived for each time period.

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Sci Data Año: 2024 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Sci Data Año: 2024 Tipo del documento: Article