CESM2 Perfect Model Predictions for 2010
d651001
This dataset includes ensemble prediction experiments using the CESM2 model. These are "perfect model prediction experiments" in which the simulations are initialized with nearly identical conditions from CESM2 historical simulations in the year 2010 and then integrated forward for two years. Ensemble prediction sets are initialized on January 1, March 1, May 1, July 1, September 1, and November 1. Five different initial conditions, taken from five different CESM2 historical simulations, are used are each initialization timing and 15 members are simulated for each of the five initial states. These 15 members differ with a micro-perturbation to the initial atmospheric temperature. Thus, for each initialization timing set (i.e. January 1, 2010) there are 75 total ensemble members (15 members for 5 initial states). These experiments can be used to assess the inherent initial-value predictability characteristics of the earth system as simulated by CESM2.
dataset
https://rda.ucar.edu/datasets/d651001/
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https://rda.ucar.edu/datasets/d651001/dataaccess/
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climatologyMeteorologyAtmosphere
dataset
revision
2014-10-16
CLIMATE MODELS > CLIMATE MODELS
revision
2024-07-23
EARTH SCIENCE > CLIMATE INDICATORS > CRYOSPHERIC INDICATORS > ICE EXTENT
revision
2024-07-24
2010-07
2012-06
publication
2024-04-16
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.
7605182193
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.
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2024-08-04T02:12:05Z