DROUGHT PREDICTION BY USING DOWN SCALE METHOD ON GCM OUTPUT

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SAMADI NEGHAB SINA

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Journal: Journal of Geography and Regional Development Year:2007 | Volume:- | Issue:8 Page(s): 193-212

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Title

DROUGHT PREDICTION BY USING DOWN SCALE METHOD ON GCM OUTPUT

Author(s)

SAMADI NEGHAB SINA | Issue Writer Certificate

Keywords

DROUGHT PREDICTIONQ2

GLOBAL CIRCULATION MODELS (GCM)Q3

DOWN SCALING METHODSQ2

CLIMATE SCENARIOQ2

STANDARD PRECIPITATION INDEX (SPI)Q2

Abstract

Using the outputs of Global Circulation Models (GCM) has nowadays developed in meteorological and climatology studies and could compensate more computational vacuity. The resolution of global and local circulation models have recently increased, but none of these models could predict actual weather in station and micro scale. Thus, several methods are presented for using outputs of these models. These outputs are divided into statistical and dynamic groups and are known as DOWN SCALING METHODS. In this paper, the researcher has tried to recognize and select the best CLIMATE SCENARIO that fits the observation data of the selected area (stations of Khorasan Razavi Province) and using special statistical and dynamic methods to produce optimum data that fits the actual data. Then, by Down Scaling then, we could extract improved forecast data. Finally, by using Standard Precipitation Index (SPI), we can present drought status in future.

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APA: Copy

SAMADI NEGHAB, SINA. (2007). DROUGHT PREDICTION BY USING DOWN SCALE METHOD ON GCM OUTPUT. JOURNAL OF GEOGRAPHY AND REGIONAL DEVELOPMENT, -(8), 193-212. SID. https://sid.ir/paper/99067/en

Vancouver: Copy

SAMADI NEGHAB SINA. DROUGHT PREDICTION BY USING DOWN SCALE METHOD ON GCM OUTPUT. JOURNAL OF GEOGRAPHY AND REGIONAL DEVELOPMENT[Internet]. 2007;-(8):193-212. Available from: https://sid.ir/paper/99067/en

IEEE: Copy

SINA SAMADI NEGHAB, “DROUGHT PREDICTION BY USING DOWN SCALE METHOD ON GCM OUTPUT,” JOURNAL OF GEOGRAPHY AND REGIONAL DEVELOPMENT, vol. -, no. 8, pp. 193–212, 2007, [Online]. Available: https://sid.ir/paper/99067/en

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