ICAR Downscaled Climate Data over the Western United States
d010091
This dataset contains quasi-dynamically downscaled climate data from 8 global climate models from the CMIP5 archive. The data were downscaled using the Intermediate Complexity Atmospheric Research (ICAR Gutmann et al., 2016) model after bias correcting the GCM three dimensional atmospheric data to match the ERA-interim reanalysis climatology (Dee et al., 2011). ICAR was configured with the Thompson microphysics, a simple PBL parameterization based on YSU, the RRTMG longwave radiation and an empirical shortwave radiation scheme, the Noah-MP land surface model, the WRF-Lake model, the BMJ cumulus parameterization, and used linear mountain wave theory for upper level wind structures combined with an iterative scheme to remove vertical motion at the model top. The output from ICAR was adjusted to match the climatological statistics of the Livneh et al. (2015) observational dataset.
dataset
https://rda.ucar.edu/datasets/d010091/
protocol: https
applicationProfile: browser
name: Dataset Description
description: Related Link
function: information
https://rda.ucar.edu/datasets/d010091/dataaccess/
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applicationProfile: browser
name: Data Access
description: Related Link
function: download
climatologyMeteorologyAtmosphere
dataset
revision
2014-10-16
CLIMATE MODELS > CLIMATE MODELS
revision
2025-01-22
EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > SURFACE TEMPERATURE > MAXIMUM/MINIMUM TEMPERATURE
EARTH SCIENCE > ATMOSPHERE > PRECIPITATION > PRECIPITATION AMOUNT > 24 HOUR PRECIPITATION AMOUNT
revision
2025-01-31
1950
2099
publication
2024-11-17
notPlanned
Creative Commons Attribution 4.0 International License
None
UCAR/NCAR - Research Data Archive
National Center for Atmospheric Research
CISL/DECS
P.O. Box 3000
Boulder
80307
U.S.A.
303-497-1291
pointOfContact
NCAR Research Data Archive
National Center for Atmospheric Research
CISL/DECS
P.O. Box 3000
Boulder
80307
U.S.A.
303-497-1291
name: NCAR Research Data Archive
description: The Research Data Archive (RDA), managed by the Data Engineering and Curation Section (DECS) of the Computational and Information Systems Laboratory (CISL) at NCAR, contains a large and diverse collection of meteorological and oceanographic observations, operational and reanalysis model outputs, and remote sensing datasets to support atmospheric and geosciences research, along with ancillary datasets, such as topography/bathymetry, vegetation, and land use.
function: downlaod
pointOfContact
2025-02-04T23:05:01Z