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    The NCEP Climate Forecast System Version 2

    Source: Journal of Climate:;2013:;volume( 027 ):;issue: 006::page 2185
    Author:
    Saha, Suranjana
    ,
    Moorthi, Shrinivas
    ,
    Wu, Xingren
    ,
    Wang, Jiande
    ,
    Nadiga, Sudhir
    ,
    Tripp, Patrick
    ,
    Behringer, David
    ,
    Hou, Yu-Tai
    ,
    Chuang, Hui-ya
    ,
    Iredell, Mark
    ,
    Ek, Michael
    ,
    Meng, Jesse
    ,
    Yang, Rongqian
    ,
    Mendez, Malaquías Peña
    ,
    van den Dool, Huug
    ,
    Zhang, Qin
    ,
    Wang, Wanqiu
    ,
    Chen, Mingyue
    ,
    Becker, Emily
    DOI: 10.1175/JCLI-D-12-00823.1
    Publisher: American Meteorological Society
    Abstract: he second version of the NCEP Climate Forecast System (CFSv2) was made operational at NCEP in March 2011. This version has upgrades to nearly all aspects of the data assimilation and forecast model components of the system. A coupled reanalysis was made over a 32-yr period (1979?2010), which provided the initial conditions to carry out a comprehensive reforecast over 29 years (1982?2010). This was done to obtain consistent and stable calibrations, as well as skill estimates for the operational subseasonal and seasonal predictions at NCEP with CFSv2. The operational implementation of the full system ensures a continuity of the climate record and provides a valuable up-to-date dataset to study many aspects of predictability on the seasonal and subseasonal scales. Evaluation of the reforecasts show that the CFSv2 increases the length of skillful MJO forecasts from 6 to 17 days (dramatically improving subseasonal forecasts), nearly doubles the skill of seasonal forecasts of 2-m temperatures over the United States, and significantly improves global SST forecasts over its predecessor. The CFSv2 not only provides greatly improved guidance at these time scales but also creates many more products for subseasonal and seasonal forecasting with an extensive set of retrospective forecasts for users to calibrate their forecast products. These retrospective and real-time operational forecasts will be used by a wide community of users in their decision making processes in areas such as water management for rivers and agriculture, transportation, energy use by utilities, wind and other sustainable energy, and seasonal prediction of the hurricane season.
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      The NCEP Climate Forecast System Version 2

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4222713
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    contributor authorSaha, Suranjana
    contributor authorMoorthi, Shrinivas
    contributor authorWu, Xingren
    contributor authorWang, Jiande
    contributor authorNadiga, Sudhir
    contributor authorTripp, Patrick
    contributor authorBehringer, David
    contributor authorHou, Yu-Tai
    contributor authorChuang, Hui-ya
    contributor authorIredell, Mark
    contributor authorEk, Michael
    contributor authorMeng, Jesse
    contributor authorYang, Rongqian
    contributor authorMendez, Malaquías Peña
    contributor authorvan den Dool, Huug
    contributor authorZhang, Qin
    contributor authorWang, Wanqiu
    contributor authorChen, Mingyue
    contributor authorBecker, Emily
    date accessioned2017-06-09T17:08:00Z
    date available2017-06-09T17:08:00Z
    date copyright2014/03/01
    date issued2013
    identifier issn0894-8755
    identifier otherams-79884.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4222713
    description abstracthe second version of the NCEP Climate Forecast System (CFSv2) was made operational at NCEP in March 2011. This version has upgrades to nearly all aspects of the data assimilation and forecast model components of the system. A coupled reanalysis was made over a 32-yr period (1979?2010), which provided the initial conditions to carry out a comprehensive reforecast over 29 years (1982?2010). This was done to obtain consistent and stable calibrations, as well as skill estimates for the operational subseasonal and seasonal predictions at NCEP with CFSv2. The operational implementation of the full system ensures a continuity of the climate record and provides a valuable up-to-date dataset to study many aspects of predictability on the seasonal and subseasonal scales. Evaluation of the reforecasts show that the CFSv2 increases the length of skillful MJO forecasts from 6 to 17 days (dramatically improving subseasonal forecasts), nearly doubles the skill of seasonal forecasts of 2-m temperatures over the United States, and significantly improves global SST forecasts over its predecessor. The CFSv2 not only provides greatly improved guidance at these time scales but also creates many more products for subseasonal and seasonal forecasting with an extensive set of retrospective forecasts for users to calibrate their forecast products. These retrospective and real-time operational forecasts will be used by a wide community of users in their decision making processes in areas such as water management for rivers and agriculture, transportation, energy use by utilities, wind and other sustainable energy, and seasonal prediction of the hurricane season.
    publisherAmerican Meteorological Society
    titleThe NCEP Climate Forecast System Version 2
    typeJournal Paper
    journal volume27
    journal issue6
    journal titleJournal of Climate
    identifier doi10.1175/JCLI-D-12-00823.1
    journal fristpage2185
    journal lastpage2208
    treeJournal of Climate:;2013:;volume( 027 ):;issue: 006
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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