ESTIMATION AND ANALYSIS OF CASPIAN REGION'S FUTURE RAINFALLS BY USING GENERAL ATMOSPHERIC CIRCULATION MODELS

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KHORSHIDDOUST ALI MOHAMMAD; SARRAF BEHROOZ; GHERMEZ CHESHMEH BAGHER; JAFARZADEH FATEMEH

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Journal: JOURNAL OF GEOGRAPHICAL SCIENCES Year:2018 | Volume:17 | Issue:47 Page(s): 213-226

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Title

ESTIMATION AND ANALYSIS OF CASPIAN REGION'S FUTURE RAINFALLS BY USING GENERAL ATMOSPHERIC CIRCULATION MODELS

Author(s)

KHORSHIDDOUST ALI MOHAMMAD | SARRAF BEHROOZ | GHERMEZ CHESHMEH BAGHER | JAFARZADEH FATEMEH | Issue Writer Certificate

Keywords

RAINFALLQ2

CLIMATE CHANGEQ2

SDSM MODELQ1

SOUTHERN COASTS OF CASPIAN SEAQ2

PRCPTOT INDEXQ1

Abstract

In recent years, the severe fluctuations in precipitation have affected various parts of the country. On the southern coasts of the Caspian Sea, precipitation as one of the important climatic parameters has undergone changes due to global CLIMATE CHANGE. In the present study, we tried to evaluate the effect of CLIMATE CHANGE on RAINFALL in this region by applying a suitable model. In this study, observational period RAINFALL (1961-2001) was analyzed. the output of the HadCM3 model was used. At first, seven synoptic stations were selected and their data were analyzed in terms of accuracy, and length of statistical period, and lost data was restored. The AOGCM data were simulated using the SDSM MODEL and the RAINFALL values were simulated for the observation period. After confirming the matching of the simulated data with observational data, the values of the Future (2039-2011) is estimated. The estimation errors of the SDSM MODEL were calculated monthly by MBE and MAE criteria, and then compared. The output of the SDSM MODEL was used to study the total annual precipitation in days with RAINFALL of more than 1 mm in the observation period and the upcoming period (2011-2039) by the R-Climdex model and the values of the PRCPTOT INDEX Became zoning in the Future. The results showed that the model error in season with high RAINFALL is more than seasons with low RAINFALL. On a monthly scale, the maximum error occurred in the months of September, October, November and December. The maximum error in the fall and the minimum error was calculated in the spring and April and May months. According to the results, the total annual RAINFALL in the period of 2039-2011 will decrease in Anzali, Babolsar, Gorgan and Noshahr stations and RAINFALL will increase in stations of Astara, Ramsar and Rasht. Geographical distribution of selected were 5 sites in the Khuzestan, 20 sites in Bushehr, 24 sites in Hormozghan and 12 sites in Sistan and Baluchistan provinces. In total, 9000 sites were selected with a 2 km2 were suitable for large scale microalgae cultivation. The total area of these sites were estimated to be 18000 km2. The highest number of proper sites were found in Hormozghan province and lowest numbers of sites were found in Khuzestan province. The availability of technical service, carbon dioxide point resources from oil and gas units are an advantages for microalgae related activities in the Bushehr and Khuzestan provinces. The higher quality of water in the Sistan and Baluchistan province is an advantages for development of microalgae biomass production in the area.

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APA: Copy

KHORSHIDDOUST, ALI MOHAMMAD, SARRAF, BEHROOZ, GHERMEZ CHESHMEH, BAGHER, & JAFARZADEH, FATEMEH. (2018). ESTIMATION AND ANALYSIS OF CASPIAN REGION'S FUTURE RAINFALLS BY USING GENERAL ATMOSPHERIC CIRCULATION MODELS. JOURNAL OF GEOGRAPHICAL SCIENCES, 17(47 ), 213-226. SID. https://sid.ir/paper/102187/en

Vancouver: Copy

KHORSHIDDOUST ALI MOHAMMAD, SARRAF BEHROOZ, GHERMEZ CHESHMEH BAGHER, JAFARZADEH FATEMEH. ESTIMATION AND ANALYSIS OF CASPIAN REGION'S FUTURE RAINFALLS BY USING GENERAL ATMOSPHERIC CIRCULATION MODELS. JOURNAL OF GEOGRAPHICAL SCIENCES[Internet]. 2018;17(47 ):213-226. Available from: https://sid.ir/paper/102187/en

IEEE: Copy

ALI MOHAMMAD KHORSHIDDOUST, BEHROOZ SARRAF, BAGHER GHERMEZ CHESHMEH, and FATEMEH JAFARZADEH, “ESTIMATION AND ANALYSIS OF CASPIAN REGION'S FUTURE RAINFALLS BY USING GENERAL ATMOSPHERIC CIRCULATION MODELS,” JOURNAL OF GEOGRAPHICAL SCIENCES, vol. 17, no. 47 , pp. 213–226, 2018, [Online]. Available: https://sid.ir/paper/102187/en

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