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Title: Nine time steps: ultra-fast statistical consistency testing of the Community Earth System Model (pyCECT v3.0)

Journal Article · · Geoscientific Model Development (Online)

The Community Earth System Model Ensemble Consistency Test (CESM-ECT) suitewas developed as an alternative to requiring bit wise identical output for quality assurance. This objective test provides a statistical measurement of consistency between an accepted ensemble created by small initial temperature perturbations and a test set of CESM simulations. Here, we extend the CESM-ECT suite with an inexpensive and robust test for ensemble consistency that is applied to Community Atmospheric Model (CAM) output after only nine model time steps. We suggest that adequate ensemble variability is achieved with instantaneous variable values at the ninth step, despite rapid perturbation growth and heterogeneous variable spread. We refer to this new test as the Ultra-Fast CAM Ensemble Consistency Test (UF-CAM-ECT) and demonstrate its effectiveness in practice, including its ability to detect small-scale events and its applicability to the Community Land Model (CLM).The new ultra-fast test facilitates CESM development, porting, and optimization efforts, particularly when used to complement information fromthe original CESM-ECT suite of tools.

Research Organization:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
Grant/Contract Number:
AC02-05CH11231
OSTI ID:
1524175
Journal Information:
Geoscientific Model Development (Online), Journal Name: Geoscientific Model Development (Online) Journal Issue: 2 Vol. 11; ISSN 1991-9603
Publisher:
European Geosciences UnionCopyright Statement
Country of Publication:
United States
Language:
English

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conference January 2017
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Evaluating statistical consistency in the ocean model component of the Community Earth System Model (pyCECT v2.0) journal January 2016

Cited By (2)

Optimizing high-resolution Community Earth System Model on a heterogeneous many-core supercomputing platform journal January 2020
Deploying RMACC Summit: An HPC Resource for the Rocky Mountain Region
  • Anderson, Jonathon; Burns, Patrick J.; Milroy, Daniel
  • Proceedings of the Practice and Experience in Advanced Research Computing 2017 on Sustainability, Success and Impact - PEARC17 https://doi.org/10.1145/3093338.3093379
conference January 2017