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Representation of Modes of Variability in 6 U.S. Climate ModelsWe compare the performance of several modes of variability across six US climate modeling groups, with a focus on identifying robust improvements in recent models (including those participating in the Coupled Model Intercomparison Project (CMIP) Phase 6) compared to previous versions. In particular, we examine the representation of the Madden-Julian Oscillation (MJO), the El Ni˜no/Southern Oscillation (ENSO), the Pacific Decadal Oscillation (PDO), the Quasi-Biennial Oscillation (QBO) in the tropical stratosphere and the dominant modes of extra-tropical variability, including the Southern Annular Mode (SAM), the Northern Annular Mode (NAM) (and the closely related North Atlantic Oscillation (NAO)), and the Pacific-North American Pattern (PNA). Where feasible, we explore the processes driving these improvements through the use of “intermediary” experiments that utilize model versions between CMIP3/5 and CMIP6 as well as targeted sensitivity experiments in which individual modeling parameters are altered. We find clear and systematic improvements in the MJO and QBO and in the teleconnection patterns associated with the PDO and ENSO. Some gains arise from better process representation, while others (e.g. the QBO) from higher resolution that allows for a greater range of interactions. Our results demonstrate that the incremental development processes in multiple climate model groups lead to more realistic simulations over time.
Document ID
20205003898
Acquisition Source
Goddard Space Flight Center
Document Type
Accepted Manuscript (Version with final changes)
Authors
Clara Orbe ORCID
(Goddard Institute for Space Studies New York, New York, United States)
Luke Van Roekel ORCID
(Los Alamos National Laboratory Los Alamos, New Mexico, United States)
Angel F Adames ORCID
(University of Michigan–Ann Arbor Ann Arbor, Michigan, United States)
Amin Dezfuli
(Science Systems and Applications (United States) Lanham, Maryland, United States)
John Fasullo ORCID
(National Center for Atmospheric Research Boulder, Colorado, United States)
Peter J Gleckler ORCID
(Lawrence Livermore National Laboratory Livermore, California, United States)
Jiwoo Lee ORCID
(Lawrence Livermore National Laboratory Livermore, California, United States)
Wei Li
(National Centers for Environmental Prediction College Park, Maryland, United States)
Larissa Nazarenko ORCID
(Columbia University New York, New York, United States)
Gavin A Schmidt ORCID
(Goddard Institute for Space Studies New York, New York, United States)
Kenneth R Sperber ORCID
(Lawrence Livermore National Laboratory Livermore, California, United States)
Ming Zhao ORCID
(Geophysical Fluid Dynamics Laboratory Princeton, New Jersey, United States)
Date Acquired
June 26, 2020
Publication Date
August 3, 2020
Publication Information
Publication: Journal of Climate
Publisher: American Meteorological Society
Volume: 33
Issue: 17
Issue Publication Date: September 1, 2020
ISSN: 0894-8755
e-ISSN: 1520-0442
Subject Category
Meteorology And Climatology
Funding Number(s)
WBS: 281945.02.04.03.80
WBS: 802678.02.17.01.33
WBS: 281945.02.03.05.13
CONTRACT_GRANT: NNG17HP01C
CONTRACT_GRANT: 80NSSC17M0057
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
External Peer Committee
Keywords
Modes of variability
Climate models
Model evaluation
Interannual variability
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