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Title: Practice and philosophy of climate model tuning across six US modeling centers

Journal Article · · Geoscientific Model Development (Online)
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [3];  [4];  [2];  [5];  [6];  [5];  [7]
  1. NASA Goddard Inst. for Space Studies (GISS), Broadway, NY (United States)
  2. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  3. Princeton Univ. Forrestal Campus, Princeton, NJ (United States)
  4. NASA Goddard Inst. for Space Studies (GISS), Broadway, NY (United States); Columbia Univ., New York, NY (United States)
  5. National Center for Atmospheric Research (NCAR), Boulder, CO (United States)
  6. NASA GSFC, Greenbelt, MD (United States)
  7. NCEP/NWS/NOAA, NCWCP, College Park, MD (United States)

Model calibration (or tuning) is a necessary part of developing and testing coupled ocean–atmosphere climate models regardless of their main scientific purpose. There is an increasing recognition that this process needs to become more transparent for both users of climate model output and other developers. Knowing how and why climate models are tuned and which targets are used is essential to avoiding possible misattributions of skillful predictions to data accommodation and vice versa. This paper describes the approach and practice of model tuning for the six major US climate modeling centers. While details differ among groups in terms of scientific missions, tuning targets, and tunable parameters, there is a core commonality of approaches. Furthermore, practices differ significantly on some key aspects, in particular, in the use of initialized forecast analyses as a tool, the explicit use of the historical transient record, and the use of the present-day radiative imbalance vs. the implied balance in the preindustrial era as a target.

Research Organization:
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
Sponsoring Organization:
USDOE
Grant/Contract Number:
AC52-07NA27344
OSTI ID:
1389939
Report Number(s):
LLNL-JRNL-720926
Journal Information:
Geoscientific Model Development (Online), Vol. 10, Issue 9; ISSN 1991-9603
Publisher:
European Geosciences UnionCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 85 works
Citation information provided by
Web of Science

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Cited By (15)

The GFDL Global Atmosphere and Land Model AM4.0/LM4.0: 2. Model Description, Sensitivity Studies, and Tuning Strategies journal March 2018
Finding plausible and diverse variants of a climate model. Part II: development and validation of methodology journal February 2019
Towards Bayesian hierarchical inference of equilibrium climate sensitivity from a combination of CMIP5 climate models and observational data journal July 2018
The Radiative Forcing of Aerosol–Cloud Interactions in Liquid Clouds: Wrestling and Embracing Uncertainty journal February 2018
Ongoing Breakthroughs in Convective Parameterization journal April 2019
The End of the Wait for Climate Sensitivity? journal November 2019
Long-term Surface Temperature (LoST) database as a complement for GCM preindustrial simulations journal January 2019
ESD Reviews: Model dependence in multi-model climate ensembles: weighting, sub-selection and out-of-sample testing journal January 2019
Climate model configurations of the ECMWF Integrated Forecasting System (ECMWF-IFS cycle 43r1) for HighResMIP journal January 2018
The Met Office Unified Model Global Atmosphere 7.0/7.1 and JULES Global Land 7.0 configurations journal January 2019
Surface mass balance downscaling through elevation classes in an Earth system model: application to the Greenland ice sheet journal January 2019
Greater future global warming inferred from Earth’s recent energy budget journal December 2017
Beyond equilibrium climate sensitivity journal September 2017
ESD Reviews: Model dependence in multi-model climate ensembles: weighting, sub-selection and out-of-sample testing text January 2019
Beyond equilibrium climate sensitivity text January 2017

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