MITJP-MSD: Large-ensemble 21st century monthly hydro-climatological forcing dataset PARIS 2C
Gao, Xiang; Sokolov, Andrei; Schlosser, Adam
Dataset Group
Summary
Large-ensemble 21st century monthly hydro-climatological forcing dataset for the PARIS 2C (P2C) scenario. The P2C scenario extends from the Paris Agreement’s NDCs and aligns with its long-term goals for aiming to limit and stabilize human-induced global climate warming to 2°C by the end of this century. The dataset consists of a 900-member ensemble, which is constructed by spatially disaggregating a 50-member ensemble of the MIT IGSM zonal climate projections based on hydroclimate change patterns from the 18 CMIP6 climate models. The dataset contains nine key meteorological variables on a monthly scale from 2021 to 2100 at a spatial resolution of 0.5°x 0.5°, including precipitation, air temperature (mean, minimum and maximum), near-surface wind speed, shortwave and longwave radiation, specific humidity, and relative humidity. The abbreviations of the variables are listed as below: precipitation (Prep), air temperature (mean (Tair), minimum (Tmin) and maximum (Tmax)), near-surface wind speed (WIND), shortwave (FSDS) and longwave (FLDS) radiation, specific humidity (Huss), and relative humidity (Hurs).
Spatial Coverage
Longitude -179.75
to 179.75
Latitude -89.75
to 89.75
[ Derived from parent entry - See data hierarchy tab ]
Gao, Xiang; Sokolov, Andrei; Schlosser, Adam (2023). MITJP-MSD: Large-ensemble 21st century monthly hydro-climatological forcing dataset. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/MITJP-MSD_LE
A technical evaluation is performed and clearly indicates the dataset well represents the expected large-scale climate features across various regions...
Description
A technical evaluation is performed and clearly indicates the dataset well represents the expected large-scale climate features across various regions of the globe.
Completeness report
The dataset has the temporal, spatial, and parameter completeness. The existing of missing data should be minimal.
Description
The dataset has the temporal, spatial, and parameter completeness. The existing of missing data should be minimal.
Parent
MITJP-MSD: Large-ensemble 21st century monthly hydro-climatological forcing dataset