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    Skill Evaluation of Extended-Range Forecasts of Rainfall and Temperature over the Meteorological Subdivisions of India

    Source: Weather and Forecasting:;2018:;volume 034:;issue 001::page 81
    Author:
    Joseph, Susmitha
    ,
    Sahai, A. K.
    ,
    Phani, R.
    ,
    Mandal, R.
    ,
    Dey, A.
    ,
    Chattopadhyay, R.
    ,
    Abhilash, S.
    DOI: 10.1175/WAF-D-18-0055.1
    Publisher: American Meteorological Society
    Abstract: Under the National Monsoon Mission Project initiated by the government of India?s Ministry of Earth Sciences, an indigenous dynamical ensemble prediction system (EPS) has been developed at the Indian Institute of Tropical Meteorology based on the state-of-the-art Climate Forecast System Model version 2 (CFSv2) coupled model, for extended-range (~15?20 days in advance) prediction. The forecasts are generated for the entire year covering the southwest monsoon, the northeast monsoon, and the summer and winter seasons. As the forecast of rainfall is important during the southwest and northeast monsoon seasons, along with that of the temperature during the summer and winter seasons, the present study documents the deterministic as well as probabilistic skill of the EPS in predicting the results in the respective seasons, over various meteorological subdivisions throughout India, on a pentad-lead time scale. The EPS is found to be skillful in predicting rainfall during the southwest and northeast monsoon seasons, as well as temperature during the summer and winter seasons, across different subdivisions of India. In addition, the EPS is noted to be skillful in predicting selected extremes in rainfall and temperature. This affirms the reliability and usefulness of the present EPS from an operational perspective.
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      Skill Evaluation of Extended-Range Forecasts of Rainfall and Temperature over the Meteorological Subdivisions of India

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4262480
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    contributor authorJoseph, Susmitha
    contributor authorSahai, A. K.
    contributor authorPhani, R.
    contributor authorMandal, R.
    contributor authorDey, A.
    contributor authorChattopadhyay, R.
    contributor authorAbhilash, S.
    date accessioned2019-09-22T09:02:51Z
    date available2019-09-22T09:02:51Z
    date copyright12/4/2018 12:00:00 AM
    date issued2018
    identifier otherWAF-D-18-0055.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4262480
    description abstractUnder the National Monsoon Mission Project initiated by the government of India?s Ministry of Earth Sciences, an indigenous dynamical ensemble prediction system (EPS) has been developed at the Indian Institute of Tropical Meteorology based on the state-of-the-art Climate Forecast System Model version 2 (CFSv2) coupled model, for extended-range (~15?20 days in advance) prediction. The forecasts are generated for the entire year covering the southwest monsoon, the northeast monsoon, and the summer and winter seasons. As the forecast of rainfall is important during the southwest and northeast monsoon seasons, along with that of the temperature during the summer and winter seasons, the present study documents the deterministic as well as probabilistic skill of the EPS in predicting the results in the respective seasons, over various meteorological subdivisions throughout India, on a pentad-lead time scale. The EPS is found to be skillful in predicting rainfall during the southwest and northeast monsoon seasons, as well as temperature during the summer and winter seasons, across different subdivisions of India. In addition, the EPS is noted to be skillful in predicting selected extremes in rainfall and temperature. This affirms the reliability and usefulness of the present EPS from an operational perspective.
    publisherAmerican Meteorological Society
    titleSkill Evaluation of Extended-Range Forecasts of Rainfall and Temperature over the Meteorological Subdivisions of India
    typeJournal Paper
    journal volume34
    journal issue1
    journal titleWeather and Forecasting
    identifier doi10.1175/WAF-D-18-0055.1
    journal fristpage81
    journal lastpage101
    treeWeather and Forecasting:;2018:;volume 034:;issue 001
    contenttypeFulltext
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