Publication Abstracts

Maloney et al. 2019

Maloney, E.D., A. Gettelman, Y. Ming, J.D. Neelin, D. Barrie, A. Mariotti, C.-C. Chen, D.R.B. Coleman, Y.-H. Kuo, B. Singh, H. Annamalai, A. Berg, J.F. Booth, S.J. Camargo, A. Dai, A. Gonzalez, J. Hafner, X. Jiang, X. Jing, D. Kim, A. Kumar, Y. Moon, C.M. Naud, A.H. Sobel, K. Suzuki, F. Wang, J. Wang, A.A. Wing, X. Xu, and M. Zhao, 2019: Process-oriented evaluation of climate and weather forecasting models. Bull. Amer. Meteorol. Soc., 100, no. 9, 1665-1686, doi:10.1175/BAMS-D-18-0042.1.

Realistic climate and weather prediction models are necessary to produce confidence in projections of future climate over many decades and predictions for days to seasons. These models must be physically justified and validated for multiple weather and climate processes. A key opportunity to accelerate model improvement is greater incorporation of process-oriented diagnostics (PODs) into standard packages that can be applied during the model development process, allowing the application of diagnostics to be repeatable across multiple model versions and used as a benchmark for model improvement. A POD characterizes a specific physical process or emergent behavior that is related to the ability to simulate an observed phenomenon. This paper describes the outcomes of activities by the Model Diagnostics Task Force (MDTF) under the NOAA Climate Program Office (CPO) Modeling, Analysis, Predictions and Projections (MAPP) program to promote development of PODs and their application to climate and weather prediction models. MDTF and modeling center perspectives on the need for expanded process-oriented diagnosis of models are presented. Multiple PODs developed by the MDTF are summarized, and an open-source software framework developed by the MDTF to aid application of PODs to centers' model development is presented in the context of other relevant community activities. The paper closes by discussing paths forward for the MDTF effort and for community process-oriented diagnosis.

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BibTeX Citation

  author={Maloney, E. D. and Gettelman, A. and Ming, Y. and Neelin, J. D. and Barrie, D. and Mariotti, A. and Chen, C.-C. and Coleman, D. R. B. and Kuo, Y.-H. and Singh, B. and Annamalai, H. and Berg, A. and Booth, J. F. and Camargo, S. J. and Dai, A. and Gonzalez, A. and Hafner, J. and Jiang, X. and Jing, X. and Kim, D. and Kumar, A. and Moon, Y. and Naud, C. M. and Sobel, A. H. and Suzuki, K. and Wang, F. and Wang, J. and Wing, A. A. and Xu, X. and Zhao, M.},
  title={Process-oriented evaluation of climate and weather forecasting models},
  journal={Bull. Amer. Meteorol. Soc.},

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RIS Citation

ID  - ma06410q
AU  - Maloney, E. D.
AU  - Gettelman, A.
AU  - Ming, Y.
AU  - Neelin, J. D.
AU  - Barrie, D.
AU  - Mariotti, A.
AU  - Chen, C.-C.
AU  - Coleman, D. R. B.
AU  - Kuo, Y.-H.
AU  - Singh, B.
AU  - Annamalai, H.
AU  - Berg, A.
AU  - Booth, J. F.
AU  - Camargo, S. J.
AU  - Dai, A.
AU  - Gonzalez, A.
AU  - Hafner, J.
AU  - Jiang, X.
AU  - Jing, X.
AU  - Kim, D.
AU  - Kumar, A.
AU  - Moon, Y.
AU  - Naud, C. M.
AU  - Sobel, A. H.
AU  - Suzuki, K.
AU  - Wang, F.
AU  - Wang, J.
AU  - Wing, A. A.
AU  - Xu, X.
AU  - Zhao, M.
PY  - 2019
TI  - Process-oriented evaluation of climate and weather forecasting models
JA  - Bull. Amer. Meteorol. Soc.
VL  - 100
IS  - 9
SP  - 1665
EP  - 1686
DO  - 10.1175/BAMS-D-18-0042.1
ER  -

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