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      Changes in the structure and propagation of the MJO with increasing CO 2

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          Abstract

          Changes in the Madden‐Julian Oscillation (MJO) with increasing CO 2 concentrations are examined using the Goddard Institute for Space Studies Global Climate Model (GCM). Four simulations performed with fixed CO 2 concentrations of 0.5, 1, 2, and 4 times preindustrial levels using the GCM coupled with a mixed layer ocean model are analyzed in terms of the basic state, rainfall, moisture and zonal wind variability, and the structure and propagation of the MJO. The GCM simulates basic state changes associated with increasing CO 2 that are consistent with results from earlier studies: column water vapor increases at ∼7.1% K −1, precipitation also increases but at a lower rate (∼3% K −1), and column relative humidity shows little change. Moisture and rainfall variability intensify with warming while zonal wind variability shows little change. Total moisture and rainfall variability increases at a rate this is similar to that of the mean state change. The intensification is faster in the MJO‐related anomalies than in the total anomalies, though the ratio of the MJO band variability to its westward counterpart increases at a much slower rate. On the basis of linear regression analysis and space‐time spectral analysis, it is found that the MJO exhibits faster eastward propagation, faster westward energy dispersion, a larger zonal scale, and deeper vertical structure in warmer climates.

          Key Points

          • MJO intensifies with warming, likely in association with changes in tropical rainfall variability

          • The MJO exhibits faster eastward propagation with warming

          • Zonal scale and depth of the MJO increase with warming

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          Most cited references52

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          An Overview of CMIP5 and the Experiment Design

          The fifth phase of the Coupled Model Intercomparison Project (CMIP5) will produce a state-of-the- art multimodel dataset designed to advance our knowledge of climate variability and climate change. Researchers worldwide are analyzing the model output and will produce results likely to underlie the forthcoming Fifth Assessment Report by the Intergovernmental Panel on Climate Change. Unprecedented in scale and attracting interest from all major climate modeling groups, CMIP5 includes “long term” simulations of twentieth-century climate and projections for the twenty-first century and beyond. Conventional atmosphere–ocean global climate models and Earth system models of intermediate complexity are for the first time being joined by more recently developed Earth system models under an experiment design that allows both types of models to be compared to observations on an equal footing. Besides the longterm experiments, CMIP5 calls for an entirely new suite of “near term” simulations focusing on recent decades and the future to year 2035. These “decadal predictions” are initialized based on observations and will be used to explore the predictability of climate and to assess the forecast system's predictive skill. The CMIP5 experiment design also allows for participation of stand-alone atmospheric models and includes a variety of idealized experiments that will improve understanding of the range of model responses found in the more complex and realistic simulations. An exceptionally comprehensive set of model output is being collected and made freely available to researchers through an integrated but distributed data archive. For researchers unfamiliar with climate models, the limitations of the models and experiment design are described.
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            Detection of a 40–50 Day Oscillation in the Zonal Wind in the Tropical Pacific

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              Constraints on future changes in climate and the hydrologic cycle.

              What can we say about changes in the hydrologic cycle on 50-year timescales when we cannot predict rainfall next week? Eventually, perhaps, a great deal: the overall climate response to increasing atmospheric concentrations of greenhouse gases may prove much simpler and more predictable than the chaos of short-term weather. Quantifying the diversity of possible responses is essential for any objective, probability-based climate forecast, and this task will require a new generation of climate modelling experiments, systematically exploring the range of model behaviour that is consistent with observations. It will be substantially harder to quantify the range of possible changes in the hydrologic cycle than in global-mean temperature, both because the observations are less complete and because the physical constraints are weaker.
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                Author and article information

                Contributors
                Angel.Adames-Corraliza@noaa.gov
                Journal
                J Adv Model Earth Syst
                J Adv Model Earth Syst
                10.1002/(ISSN)1942-2466
                JAME
                Journal of Advances in Modeling Earth Systems
                John Wiley and Sons Inc. (Hoboken )
                1942-2466
                22 May 2017
                June 2017
                : 9
                : 2 ( doiID: 10.1002/jame.v9.2 )
                : 1251-1268
                Affiliations
                [ 1 ] Geophysical Fluid Dynamics Laboratory Princeton New Jersey USA
                [ 2 ] Department of Atmospheric Sciences University of Washington Seattle Washington USA
                [ 3 ] Department of Applied Physics and Applied Mathematics, and Department of Earth and Environmental Sciences, and Lamont‐Doherty Earth Observatory Columbia University New York New York USA
                [ 4 ] NASA Goddard Institute for Space Studies New York New York USA
                Author notes
                [*] [* ]Correspondence to: Á. F. Adames, Angel.Adames-Corraliza@ 123456noaa.gov
                Author information
                http://orcid.org/0000-0003-3822-5347
                http://orcid.org/0000-0001-9233-2747
                http://orcid.org/0000-0003-3602-0567
                http://orcid.org/0000-0001-7450-1359
                Article
                JAME20413
                10.1002/2017MS000913
                5586197
                28943996
                eac21bcf-a716-466b-acbc-dde88b38be68
                © 2017. The Authors.

                This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 06 January 2017
                : 28 April 2017
                Page count
                Figures: 13, Tables: 0, Pages: 18, Words: 8590
                Funding
                Funded by: National Aeronautics and Space Administration
                Award ID: NNX13AM18G
                Funded by: Korea Meteorological Administration Research and Development Program
                Award ID: KMIPA 2016‐6010
                Funded by: University of Washington
                Categories
                Atmospheric Processes
                Climate Change and Variability
                Convective Processes
                Global Climate Models
                Tropical Meteorology
                Tropical Convection
                Global Change
                Climate Variability
                Oceans
                Climatology
                Oceanography: General
                Climate and Interannual Variability
                Oceanography: Physical
                Decadal Ocean Variability
                Paleoceanography
                Global Climate Models
                Research Article
                Research Articles
                Custom metadata
                2.0
                jame20413
                June 2017
                Converter:WILEY_ML3GV2_TO_NLMPMC version:5.1.8 mode:remove_FC converted:29.08.2017

                madden‐julian oscillation,climate change,gcm,carbon dioxide,mean state,variability

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