MACAv2-METDATA: University of Idaho, Multivariate Adaptive Constructed Analogs Applied to Global Climate Models (IDAHO_EPSCOR/MACAv2_METDATA)

Version 2

The MACAv2-METDATA dataset is a collection of 20 global
climate models covering the coterminous USA. The Multivariate Adaptive
Constructed Analogs (MACA) method is a statistical downscaling
method which utilizes a training dataset (i.e. a meteorological
observation dataset) to remove historical biases and match spatial
patterns in climate model output.

The MACA method was used to downscale the model output from 20
global climate models (GCMs) of the Coupled Model Inter-Comparison
Project 5 (CMIP5) for the historical GCM forcings (1950-2005) and
the future Representative Concentration Pathways (RCPs) RCP 4.5
and RCP 8.5 scenarios (2006-2100) from the native resolution of
the GCMS to 4km.

tasmaxMaximum daily temperature near surfaceK
tasminMinimum daily temperature near surfaceK
rhsmaxMaximum daily relative humidity near surface, not present in models CCSM4 or NorESM1-M%
rhsminMinimum daily relative humidity near surface, not present in models CCSM4 or NorESM1-M%
hussAverage daily specific humidity near surfacekg/kg
prAverage daily precipitation amount at surfacemm
rsdsAverage daily downward shortwave radiation at surfaceW/m^2
uasAverage daily eastward component of wind near surfacem/s
vasAverage daily northward component of wind near surfacem/s


University of Idaho (producer, licensor)
Google Earth Engine (host)
STAC Version 0.6.2
Keywords climate, conus, geophysical, idaho, maca, monthly
License proprietary
Temporal Extent 12/31/1899, 4:00:00 PM - 12/30/2100, 4:00:00 PM
Citation Abatzoglou J.T. and Brown T.J., A comparison of statistical downscaling methods suited for wildfire applications, International Journal of Climatology(2012) doi: [](
Type image_collection
GSD arc minutesm
Cadence day
cube:dimensions {"x":{"type":"spatial","axis":"x","extent":[-124.9,-67]},"y":{"type":"spatial","axis":"y","extent":[24.9,49.6]},"temporal":{"type":"temporal","extent":["1900-01-01T00:00:00Z","2100-12-31T00:00:00Z"]},"bands":{"type":"bands","values":["tasmax","tasmin","rhsmax","rhsmin","huss","pr","rsds","uas","vas"]}}