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CESM2 Perfect Model Prediction Ensembles, 2030

d651003
| DOI: 10.5065/2E1Z-JN83
 
Abstract:

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 simulations in the year 2030 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 simulations, are used for 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, 2030) 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.

Temporal Range:
2030-01 to 2032-10
Variables:
Rain
Data Types:
Grid
Data Contributors:
UCAR/NCAR/CGD
Climate and Global Dynamics Division, National Center for Atmospheric Research, University Corporation for Atmospheric Research
Total Volume:
5.41 TB (Entire dataset) Volume details by dataset product
Data Formats:
Related RDA Datasets:
-
CESM2 Perfect Model Predictions for 2010
Metadata Record:
Data License:
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