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Information Journal Paper

Title

A new method for mapping the monthly cooling degree days, Iran

Pages

  4-5

Keywords

Statistical Downscaling Model (SDSM)Q1

Abstract

 Introduction: One of the main problems in the use of atmospheric general circulation models (GCM) for regional assessments is their low spatial resolution that is required to be downscaling by using statistical or dynamical patterns. Therefore, in this study, it is necessary to consider the effects of different ways on the investigated system. The best mean to consider and investigate the effects of greenhouse gases on the atmosphere at regional scale is the use of hybrid models of AOGCM, as one of the indices of climate degree days that its changes play an important role in environmental issues such as energy consumption for heating and cooling in future. Given the fact that Iran has diversity in elevation and climatic conditions and the most important factor in the cooling needs is along with changes in altitude and atmospheric moisture, the climate change is caused by the effects of global warming.

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    APA: Copy

    OMIDVAR, KAMAL, EBRAHIMI, REZA, & Alizade, Teymour. (2016). A new method for mapping the monthly cooling degree days, Iran. PHYSICAL GEOGRAPHY RESEARCH QUARTERLY, 48(3 ), 4-5. SID. https://sid.ir/paper/396088/en

    Vancouver: Copy

    OMIDVAR KAMAL, EBRAHIMI REZA, Alizade Teymour. A new method for mapping the monthly cooling degree days, Iran. PHYSICAL GEOGRAPHY RESEARCH QUARTERLY[Internet]. 2016;48(3 ):4-5. Available from: https://sid.ir/paper/396088/en

    IEEE: Copy

    KAMAL OMIDVAR, REZA EBRAHIMI, and Teymour Alizade, “A new method for mapping the monthly cooling degree days, Iran,” PHYSICAL GEOGRAPHY RESEARCH QUARTERLY, vol. 48, no. 3 , pp. 4–5, 2016, [Online]. Available: https://sid.ir/paper/396088/en

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