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      A Consensus Approach for Estimating Tropical Cyclone Intensity from Meteorological Satellites: SATCON

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      Weather and Forecasting
      American Meteorological Society

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          ABSTRACT

          A consensus-based algorithm for estimating the current intensity of global tropical cyclones (TCs) from meteorological satellites is described. The method objectively combines intensity estimates from infrared and microwave-based techniques to produce a consensus TC intensity estimate, which is more skillful than the individual members. The method, called Satellite Consensus (SATCON), can be run in near–real time and employs information sharing between member algorithms and a weighting strategy that relies on the situational precision of each member. An evaluation of the consensus algorithm’s performance in comparison with its individual members and other available operational estimates of TC intensity is presented. It is shown that SATCON can provide valuable objective intensity estimates for poststorm assessments, especially in the absence of other data such as provided by reconnaissance aircraft. It can also serve as a near-real-time estimator of TC intensity for forecasters, with the ability to quickly reconcile differences in objective intensity methods and thus decrease the uncertainty and amount of time spent on the intensity analysis. Near-real-time SATCON estimates are being provided to global operational TC forecast centers.

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          Most cited references27

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          Improved Weather and Seasonal Climate Forecasts from Multimodel Superensemble

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            Tropical Cyclone Intensity Analysis and Forecasting from Satellite Imagery

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              The Dvorak Tropical Cyclone Intensity Estimation Technique: A Satellite-Based Method that Has Endured for over 30 Years

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                Author and article information

                Journal
                Weather and Forecasting
                American Meteorological Society
                0882-8156
                1520-0434
                August 01 2020
                August 01 2020
                : 35
                : 4
                : 1645-1662
                Affiliations
                [1 ]Cooperative Institute for Meteorological Satellite Studies, University of Wisconsin–Madison, Madison, Wisconsin
                Article
                10.1175/WAF-D-20-0015.1
                befaf4e1-f02e-4264-b77d-cc9ea89ee51a
                © 2020
                History

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