Surface Temperature Data over Indian Region - Hallika, P.M.S.;Pattnaik, Sandeep
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The quantification of biases in surface temperature prediction of the Climate Forecast System version 2(CFSv2) model is characterized over India in general and over North West region of India in particular, during winter months (i.e. December-January-February [DJF]). Statistical analyses such as time series, temperature biases, percentage departure, root mean square error, etc. are carried out to know the bias characteristics of CFSv2 and CFSR.

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Produktbeschreibung
The quantification of biases in surface temperature prediction of the Climate Forecast System version 2(CFSv2) model is characterized over India in general and over North West region of India in particular, during winter months (i.e. December-January-February [DJF]). Statistical analyses such as time series, temperature biases, percentage departure, root mean square error, etc. are carried out to know the bias characteristics of CFSv2 and CFSR.
Autorenporträt
P.M.S. Hallika, pós-graduada pelo I.I.T. Bhubaneswar e licenciada em Engenharia Mecânica pelo Instituto de Engenharia e Tecnologia Gokaraju Rangaraju, trabalha atualmente como professora assistente no Instituto de Tecnologia e Ciência G. Narayanamma (para mulheres)