Multivariate Adaptive Constructed Analogs (MACA) CMIP5 Statistically Downscaled Data for Coterminous USA

NOTICE: Given the large size of the MACAv2METDATA dataset, and a known issue with the data server being used to host it, initial load times may take a very long time and / or time out. Subsequent requests should be faster due to caching, but the cache clears periodically and the dataset must be rescanned prior to access. We are working on a fix for this issue. In the mean time, please use the dataset with care and make sureyou've reviewed the GDP scalability guidelines. https://my.usgs.gov/confluence/display/GeoDataPortal/Geo+Data+Portal+Scalability+Guidelines --- This archive contains daily downscaled meteorological and hydrological projections for the Conterminous United States at 1/24-deg resolution utilizing the Multivariate Adaptive Constructed Analogs (MACA, Abatzoglou, 2012) statistical downscaling method with the METDATA (Abatzoglou,2013) training dataset. The downscaled meteorological variables are maximum/minimum temperature(tasmax/tasmin), maximum/minimum relative humidity (rhsmax/rhsmin)precipitation amount(pr), downward shortwave solar radiation(rsds), eastward wind(uas), northward wind(vas), and specific humidity(huss). The downscaling is based on the 365-day model outputs from different global climate models (GCMs) from Phase 5 of the Coupled Model Inter-comparison Project (CMIP3) utlizing the historical (1950-2005) and future RCP4.5/8.5(2006-2099) scenarios. Leap days have been added to the dataset from the average values between Feb 28 and Mar 1 in order to aid modellers. See: http://maca.northwestknowledge.net/ for more information.

Data and Resources

Field Value
accessLevel public
bureauCode {010:00}
catalog_@context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
identifier 5752f2d9e4b053f0edd15628
metadata_type geospatial
modified 2016-06-05
old-spatial {"type": "Polygon", "coordinates": [[[-124.8, 25.0630779266], [-67.1, 25.0630779266], [-67.1, 49.3960227966], [-124.8, 49.3960227966], [-124.8, 25.0630779266]]]}
publisher Climate Adaptation Science Centers
resource-type Dataset
source_datajson_identifier true
source_hash b7cf6c0b62970c2f894c88fb11e7339bef5e81ca
source_schema_version 1.1
spatial {"type": "Polygon", "coordinates": [[[-124.8, 25.0630779266], [-67.1, 25.0630779266], [-67.1, 49.3960227966], [-124.8, 49.3960227966], [-124.8, 25.0630779266]]]}
theme {geospatial}
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • air-temperature
  • amerigeo
  • amerigeoss
  • ckan
  • cmip5
  • downscaled-climate-projection
  • downward-shortwave-solar-radiation
  • eastward-wind
  • eastwardwind
  • geo
  • geoss
  • historical
  • maca
  • maximum-relative-humidity
  • maximum-temperature
  • minimum-relative-humidity
  • minimum-temperature
  • national
  • north-america
  • northward-wind
  • northwardwind
  • precipitation
  • rcp45
  • rcp85
  • relativehumidity
  • specific-humidity
  • united-states
  • wind-speed
isopen False
license_id notspecified
license_title License not specified
maintainer University of Idaho (Point of Contact)
maintainer_email jabatzoglou@uidaho.edu
metadata_created 2025-11-20T12:06:45.903587
metadata_modified 2025-11-20T12:06:45.903592
notes NOTICE: Given the large size of the MACAv2METDATA dataset, and a known issue with the data server being used to host it, initial load times may take a very long time and / or time out. Subsequent requests should be faster due to caching, but the cache clears periodically and the dataset must be rescanned prior to access. We are working on a fix for this issue. In the mean time, please use the dataset with care and make sureyou've reviewed the GDP scalability guidelines. https://my.usgs.gov/confluence/display/GeoDataPortal/Geo+Data+Portal+Scalability+Guidelines --- This archive contains daily downscaled meteorological and hydrological projections for the Conterminous United States at 1/24-deg resolution utilizing the Multivariate Adaptive Constructed Analogs (MACA, Abatzoglou, 2012) statistical downscaling method with the METDATA (Abatzoglou,2013) training dataset. The downscaled meteorological variables are maximum/minimum temperature(tasmax/tasmin), maximum/minimum relative humidity (rhsmax/rhsmin)precipitation amount(pr), downward shortwave solar radiation(rsds), eastward wind(uas), northward wind(vas), and specific humidity(huss). The downscaling is based on the 365-day model outputs from different global climate models (GCMs) from Phase 5 of the Coupled Model Inter-comparison Project (CMIP3) utlizing the historical (1950-2005) and future RCP4.5/8.5(2006-2099) scenarios. Leap days have been added to the dataset from the average values between Feb 28 and Mar 1 in order to aid modellers. See: http://maca.northwestknowledge.net/ for more information.
num_resources 12
num_tags 28
title Multivariate Adaptive Constructed Analogs (MACA) CMIP5 Statistically Downscaled Data for Coterminous USA