2024-03-28T22:15:30Zhttp://doidb.wdc-terra.org/oaip/oaioai:doidb.wdc-terra.org:62352021-05-20T12:06:52ZDOIDBDOIDB.PIK
doi:10.5880/pik.2016.004
eng
GFZ German Research Centre for Geosciences
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2019-02-14
urn:ogc:def:crs:EPSG:4326
EartH2Observe, WFDEI and ERA-Interim data Merged and Bias-corrected for ISIMIP (EWEMBI)
2016
creation
doi:10.5880/pik.2016.004
Lange, Stefan
Potsdam Institute for Climate Impact Research
author
The EWEMBI dataset was compiled to support the bias correction of climate input data for the impact assessments carried out in phase 2b of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP2b; Frieler et al., 2017), which will contribute to the 2018 IPCC special report on the impacts of global warming of 1.5°C above pre-industrial levels and related global greenhouse gas emission pathways.
The EWEMBI data cover the entire globe at 0.5° horizontal and daily temporal resolution from 1979 to 2013. Data sources of EWEMBI are ERA-Interim reanalysis data (ERAI; Dee et al., 2011), WATCH forcing data methodology applied to ERA-Interim reanalysis data (WFDEI; Weedon et al., 2014), eartH2Observe forcing data (E2OBS; Calton et al., 2016) and NASA/GEWEX Surface Radiation Budget data (SRB; Stackhouse Jr. et al., 2011). The SRB data were used to bias-correct E2OBS shortwave and longwave radiation (Lange, 2018).
Variables included in the EWEMBI dataset are Near Surface Relative Humidity, Near Surface Specific Humidity, Precipitation, Snowfall Flux, Surface Air Pressure, Surface Downwelling Longwave Radiation, Surface Downwelling Shortwave Radiation, Near Surface Wind Speed, Near-Surface Air Temperature, Daily Maximum Near Surface Air Temperature, Daily Minimum Near Surface Air Temperature, Eastward Near-Surface Wind and Northward Near-Surface Wind. For data sources, units and short names of all variables see Frieler et al. (2017, Table 1).
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ISIMIP Coordination Team
Potsdam Institute for Climate Impact Research
info@isimip.org
http://www.isimip.org
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Meteorological Forcing Data
Bias Correction
Climate Impact Research
ISIMIP
EARTH SCIENCE > ATMOSPHERE
EARTH SCIENCE SERVICES > DATA ANALYSIS AND VISUALIZATION > STATISTICAL APPLICATIONS
EARTH SCIENCE SERVICES > DATA ANALYSIS AND VISUALIZATION > CALIBRATION/VALIDATION
NASA/GCMD Earth Science Keywords
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CC BY 4.0
CC BY 4.0
10.5194/gmd-10-4321-2017
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https://esg.pik-potsdam.de/
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References
https://www.earthsystemcog.org/projects/cog/tutorials_web
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References
10.5281/zenodo.57760
DOI
Cites
10.1002/qj.828
DOI
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http://www.gewex.org/resources/gewex-news/
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Cites
10.1002/2014WR015638
DOI
Cites
10.5194/esd-9-627-2018
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10.5880/pik.2019.004
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eng
global daily
-179.75
179.75
-89.75
89.75
1979-01-01
2013-12-31
http://dx.doi.org/doi:10.5880/pik.2016.004
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