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    An Eye on the Storm: Integrating a Wealth of Data for Quickly Advancing the Physical Understanding and Forecasting of Tropical Cyclones

    Source: Bulletin of the American Meteorological Society:;2020:;volume( ):;issue: -
    Author:
    Hristova-Veleva, Svetla M.;Li, P. Peggy;Knosp, Brian;Vu, Quoc;Turk, F. Joseph;Poulsen, William L.;Haddad, Ziad;Lambrigtsen, Bjorn;Stiles1, Bryan W.;Shen, Tsae-Pyng;Niamsuwan, Noppasin;Tanelli, Simone;Sy, Ousmane;Seo, Eun-Kyoung;Su, Hui;Vane, Deborah G.;Chao, Yi;Callahan, Philip S.;Dunbar, R. Scott;Montgomery, Michael;Boothe, Mark;Tallapragada, Vijay;Trahan, Samuel;Wimmers, Anthony J.;Holz, Robert;Reid, Jeffrey S.;Marks, Frank;Vukicevic, Tomislava;Bhalachandran, Saiprasanth;Leighton, Hua;Gopalakrishnan, Sundararaman;Navarro, Andres;Tapiador, Francisco J.
    DOI: 10.1175/BAMS-D-19-0020.1
    Publisher: American Meteorological Society
    Abstract: The JPL Tropical Cyclone Information System integrates observations with model forecasts, allowing interrogation of a large number of variables, to help better understand the multi-scale non-linear interactions that lead to storm development, and to evaluate models.Tropical cyclones (TCs) are among the most destructive natural phenomena with huge societal and economic impact. They form and evolve as the result of complex multi-scale processes and non-linear interactions. Even today the understanding and modeling of these processes is still lacking.A major goal of NASA is to bring the wealth of satellite and airborne observations to bear on addressing the unresolved scientific questions and improving our forecast models. Despite their significant amount, these observations are still underutilized in hurricane research and operations, due to the complexity associated with finding and bringing together semi-coincident and semi-contemporaneous multi-parameter data that are needed to describe the multiscale TC processes. Such data are traditionally archived in different formats, with different spatio-temporal resolution, across multiple databases, and hosted by various agencies. To address this shortcoming, NASA supported the development of the Jet Propulsion Laboratory (JPL) Tropical Cyclone Information System (TCIS) - a Data Analytic Framework that integrates model forecasts with multiparameter satellite and airborne observations, providing interactive visualization and on-line analysis tools. TCIS supports interrogation of a large number of atmospheric and ocean variables, allowing for quick investigation of the structure of the tropical storms and their environments.This paper provides an overview of the TCIS’s components and features. It also summarizes recent pilot studies, providing examples how the TCIS has inspired new research, helping to increase our understanding of TCs.The goal is to encourage more users to take full advantage of the novel capabilities. TCIS allows atmospheric scientists to focus on new ideas and concepts rather than painstakingly gathering data scattered over several agencies.
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      An Eye on the Storm: Integrating a Wealth of Data for Quickly Advancing the Physical Understanding and Forecasting of Tropical Cyclones

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4264512
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    contributor authorHristova-Veleva, Svetla M.;Li, P. Peggy;Knosp, Brian;Vu, Quoc;Turk, F. Joseph;Poulsen, William L.;Haddad, Ziad;Lambrigtsen, Bjorn;Stiles1, Bryan W.;Shen, Tsae-Pyng;Niamsuwan, Noppasin;Tanelli, Simone;Sy, Ousmane;Seo, Eun-Kyoung;Su, Hui;Vane, Deborah G.;Chao, Yi;Callahan, Philip S.;Dunbar, R. Scott;Montgomery, Michael;Boothe, Mark;Tallapragada, Vijay;Trahan, Samuel;Wimmers, Anthony J.;Holz, Robert;Reid, Jeffrey S.;Marks, Frank;Vukicevic, Tomislava;Bhalachandran, Saiprasanth;Leighton, Hua;Gopalakrishnan, Sundararaman;Navarro, Andres;Tapiador, Francisco J.
    date accessioned2022-01-30T18:06:51Z
    date available2022-01-30T18:06:51Z
    date copyright5/29/2020 12:00:00 AM
    date issued2020
    identifier issn0003-0007
    identifier otherbamsd190020.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4264512
    description abstractThe JPL Tropical Cyclone Information System integrates observations with model forecasts, allowing interrogation of a large number of variables, to help better understand the multi-scale non-linear interactions that lead to storm development, and to evaluate models.Tropical cyclones (TCs) are among the most destructive natural phenomena with huge societal and economic impact. They form and evolve as the result of complex multi-scale processes and non-linear interactions. Even today the understanding and modeling of these processes is still lacking.A major goal of NASA is to bring the wealth of satellite and airborne observations to bear on addressing the unresolved scientific questions and improving our forecast models. Despite their significant amount, these observations are still underutilized in hurricane research and operations, due to the complexity associated with finding and bringing together semi-coincident and semi-contemporaneous multi-parameter data that are needed to describe the multiscale TC processes. Such data are traditionally archived in different formats, with different spatio-temporal resolution, across multiple databases, and hosted by various agencies. To address this shortcoming, NASA supported the development of the Jet Propulsion Laboratory (JPL) Tropical Cyclone Information System (TCIS) - a Data Analytic Framework that integrates model forecasts with multiparameter satellite and airborne observations, providing interactive visualization and on-line analysis tools. TCIS supports interrogation of a large number of atmospheric and ocean variables, allowing for quick investigation of the structure of the tropical storms and their environments.This paper provides an overview of the TCIS’s components and features. It also summarizes recent pilot studies, providing examples how the TCIS has inspired new research, helping to increase our understanding of TCs.The goal is to encourage more users to take full advantage of the novel capabilities. TCIS allows atmospheric scientists to focus on new ideas and concepts rather than painstakingly gathering data scattered over several agencies.
    publisherAmerican Meteorological Society
    titleAn Eye on the Storm: Integrating a Wealth of Data for Quickly Advancing the Physical Understanding and Forecasting of Tropical Cyclones
    typeJournal Paper
    journal titleBulletin of the American Meteorological Society
    identifier doi10.1175/BAMS-D-19-0020.1
    treeBulletin of the American Meteorological Society:;2020:;volume( ):;issue: -
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian