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
Temporal Coverage
2021-01-01 to 2100-12-31
Use constraints
Creative Commons Attribution 4.0 International (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/)
Data Catalog
World Data Center for Climate
Size
9.45 TiB (10390673930292 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2032-12-09
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[ 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

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[Entry acronym: MITJP-MSD_LE_P2C] [Entry id: 3964828]
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.
Description
The dataset has the temporal, spatial, and parameter completeness. The existing of missing data should be minimal.

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MITJP-MSD: Large-ensemble 21st century monthly hydro-climatological forcing dataset
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