EFFICIENCY OF STATISTICAL DOWNSCALING MODELS OF SDSM AND LARS-WG IN THE SIMULATION OF METEOROLOGICAL PARAMETERS IN LAKE URMIA BASIN

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SOBHANI BEHROOZ; ESLAHI MEHDI; BABAEIAN IMAN

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Journal: Physical Geography Research Year:2016 | Volume:47 | Issue:4 Page(s): 499-516

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Title

EFFICIENCY OF STATISTICAL DOWNSCALING MODELS OF SDSM AND LARS-WG IN THE SIMULATION OF METEOROLOGICAL PARAMETERS IN LAKE URMIA BASIN

Author(s)

SOBHANI BEHROOZ | ESLAHI MEHDI | BABAEIAN IMAN | Issue Writer Certificate

Keywords

CLIMATE CHANGE MODELQ2

DOWNSCALINGQ1

LARS-WGQ1

SDSMQ1

UNCERTAINTYQ1

Abstract

IntroductionLinking resolution global climate models to local scale as a micro climatic process is a significant issue. Recently, attempts have been made by the climatology scientists to develop dynamics and statistical DOWNSCALING methods to express climate change at a local and regional scale. Two general techniques are been used for DOWNSCALING of the output of general circulation models (GCM). The further is by statistical methods in which the output of a statistical model (MOS) and a planned approach to weather short-term numerical prediction is presented. The later is regional climate model (RCM), same as limited GCM model in a subnet of network global model by dynamic method that uses climatic conditions temporal changes according to GCM model. Both methods play an important role to determine the potential effects of the climate change caused by increased greenhouse gas emissions. Much work is done to use this method for DOWNSCALING of the global model output in different areas in which the performance of the model is assessed. UNCERTAINTY analysis has been done on these methods or compared by other statistical methods.

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APA: Copy

SOBHANI, BEHROOZ, ESLAHI, MEHDI, & BABAEIAN, IMAN. (2016). EFFICIENCY OF STATISTICAL DOWNSCALING MODELS OF SDSM AND LARS-WG IN THE SIMULATION OF METEOROLOGICAL PARAMETERS IN LAKE URMIA BASIN. PHYSICAL GEOGRAPHY RESEARCH QUARTERLY, 47(4), 499-516. SID. https://sid.ir/paper/138889/en

Vancouver: Copy

SOBHANI BEHROOZ, ESLAHI MEHDI, BABAEIAN IMAN. EFFICIENCY OF STATISTICAL DOWNSCALING MODELS OF SDSM AND LARS-WG IN THE SIMULATION OF METEOROLOGICAL PARAMETERS IN LAKE URMIA BASIN. PHYSICAL GEOGRAPHY RESEARCH QUARTERLY[Internet]. 2016;47(4):499-516. Available from: https://sid.ir/paper/138889/en

IEEE: Copy

BEHROOZ SOBHANI, MEHDI ESLAHI, and IMAN BABAEIAN, “EFFICIENCY OF STATISTICAL DOWNSCALING MODELS OF SDSM AND LARS-WG IN THE SIMULATION OF METEOROLOGICAL PARAMETERS IN LAKE URMIA BASIN,” PHYSICAL GEOGRAPHY RESEARCH QUARTERLY, vol. 47, no. 4, pp. 499–516, 2016, [Online]. Available: https://sid.ir/paper/138889/en

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