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      Global warming changes tropical cyclone translation speed

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          Abstract

          Slow-moving tropical cyclones (TCs) can cause heavy rain because of their duration of influence. Combined with expected increase in rain rates associated with TCs in a warmer climate, there is growing interest in TC translation speed in the past and future. Here we present that a slowdown trend of the translation speed is not simulated for the period 1951–2011 based on historical model simulations. We also find that the annual-mean translation speed could increase under global warming. Although previous studies show large uncertainties in the future projections of TC characteristics, our model simulations show that the average TC translation speed at higher latitudes becomes smaller in a warmer climate, but the relative frequency of TCs at higher latitudes increases. Since the translation speed is much larger in the extratropics, the increase in the relative frequency of TCs at higher latitudes compensates the reduction of the translation speed there, leading to a global mean increase in TC translation speed.

          Abstract

          How the translation speed of tropical cyclones has changed in recent decades and will change in the future has been the subject of debate. Model results show that on average, they have not slowed down in the past, but despite a slowing of tropical cyclones at higher latitudes, a poleward shift in their mean track location causes a general speed up under high greenhouse gas emissions.

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          Most cited references26

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          Downscaling CMIP5 climate models shows increased tropical cyclone activity over the 21st century.

          K. Emanuel (2013)
          A recently developed technique for simulating large [O(10(4))] numbers of tropical cyclones in climate states described by global gridded data is applied to simulations of historical and future climate states simulated by six Coupled Model Intercomparison Project 5 (CMIP5) global climate models. Tropical cyclones downscaled from the climate of the period 1950-2005 are compared with those of the 21st century in simulations that stipulate that the radiative forcing from greenhouse gases increases by over preindustrial values. In contrast to storms that appear explicitly in most global models, the frequency of downscaled tropical cyclones increases during the 21st century in most locations. The intensity of such storms, as measured by their maximum wind speeds, also increases, in agreement with previous results. Increases in tropical cyclone activity are most prominent in the western North Pacific, but are evident in other regions except for the southwestern Pacific. The increased frequency of events is consistent with increases in a genesis potential index based on monthly mean global model output. These results are compared and contrasted with other inferences concerning the effect of global warming on tropical cyclones.
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            Tropical Cyclones and Climate Change Assessment: Part II. Projected Response to Anthropogenic Warming

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              Tropical cyclones and climate change

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                Author and article information

                Contributors
                myamagu@mri-jma.go.jp
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                8 January 2020
                8 January 2020
                2020
                : 11
                : 47
                Affiliations
                [1 ]ISNI 0000 0001 0597 9981, GRID grid.237586.d, Meteorological Research Institute, , Japan Meteorological Agency, ; Tsukuba, Ibaraki Japan
                [2 ]ISNI 0000 0004 1792 6846, GRID grid.35030.35, Guy Carpenter Asia-Pacific Climate Impact Centre, School of Energy and Environment, , City University of Hong Kong, ; Kowloon, Hong Kong China
                [3 ]ISNI 0000 0001 0725 5207, GRID grid.411277.6, Typhoon Research Center, , Jeju National University, ; Jeju, South Korea
                Author information
                http://orcid.org/0000-0002-5798-8510
                http://orcid.org/0000-0001-8390-7422
                http://orcid.org/0000-0001-9370-0900
                Article
                13902
                10.1038/s41467-019-13902-y
                6949250
                31913276
                e4c1b546-971f-45de-b735-5cf401cad5d2
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 14 June 2019
                : 19 November 2019
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                © The Author(s) 2020

                Uncategorized
                atmospheric science,climate change,climate and earth system modelling,projection and prediction

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