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MACAv2-METDATA: Gridded Daily Statistical Downscaling of CMIP5 using METDATA training dataset

TitleMACAv2-METDATA: Gridded Daily Statistical Downscaling of CMIP5 using METDATA training dataset
Publication TypeManual Entry
Year of Publication2015
AuthorsAbatzoglou, John, and Katherine Hegewisch
USGS ScienceBase
CMIP5, GridMet, humidity, MACA, METDATA, precipitation, radiation, statistical downscaling, temperature, wind
Citation Key2132
Access
MACA Webpage
MACAv2-METDATA Data Catalog on REACCH
METDATA(aka GridMet) Website

Projects

Projects that used this resource: 
Downscaled projections data portals

Climate Impacts Tags

Impact by Sector: 
Agriculture
Environment
Water
Health
Energy

Data Tags

Alternate name(s) these data are known by: 
MACAv2-METDATA
Data Type: 
GCM Output
Gridded Observations
Downscaled Projections
Variables: 
Temperature(min/max)
Precipitation
Relative Humidity(min/max)
Specific Humidity
Downward Shortwave Solar Radiation
wind velocity(components)
Geographical Domain: 
CONUS
Downscaling Method: 
Statistical - MACAv2
Detailed Downscaling Description: 
Gridded 1/24-deg(4-km) statistical downscaling of 20 GCMs from CMIP5 for historical (1950-2005) and future (2006-2100) RCP4.5 and RCP8.5 scenarios utilizing the Multivariate Adaptive Constructed Analogs(MACA, Abatzoglou, Brown, 2011) statistical method v2 (Hegewisch and Abatzoglou, in prep) and the METDATA (Abatzoglou,2011) training dataset for the surface variables: min/max temperature (tasmin/tasmax), min/max relative humidity (rhsmin/rhsmax), precipitation(pr), downward solar radiation(rsds), wind velocity (uas/vas), specific humidity (huss).
Spatial Resolution: 
1/24-deg (4-km)
Temporal Resolution: 
daily and monthly
Data Output Format: 
NetCDF