Prediction of Precipitation and Temperature Change in the Taihu Basin Based on Statistical Downscaling Model
نویسندگان
چکیده
منابع مشابه
investigation and prediction of the temperature changes of arak station based on statistical downscaling model
introduction the city population, in particular at the industrialized cities and centers of provinces, has increased dramatically in iran during recent decades. arak city as center of markazi province is among those industrialized cities which has experienced a fast increase in population. these changes in population numbers tend to increase consuming water resources as well as increasing in en...
متن کاملinvestigation the temperature changes of arak station and prediction based on statistical downscaling model of sdsm
introduction the city population, in particular at the industrialized cities and centers of provinces, has increased dramatically in iran during recent decades. arak city is among of those industrialized cities as a centers of markazi province which has experienced a fast increase in population. this changes in population numbers tend to increase in consuming water resources as well as increasi...
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Results of assessment of the future climate change impacts is associated with some uncertainties. Considering the range of uncertainties increases reliability of the results. In this study, climate change impacts on daily precipitation, maximum and minimum temperature of Sira basin are assessed using LARS-WG model, for 2036-65 period. Accordingly, uncertainty of new emissions scenarios (RCP2.6،...
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Global climate change as a main factor affecting all ecological components, has been attended by researchers all over the world in the recent years. In this regard for simulating the rainfall, National Centers for Environmental Prediction (NCEP) data, HadCM3 data under A2 and B2 scenarios, CanESM2 data under RCP2.6, RCP4.5 and RCP8.5 scenarios were utilized. This research was performed by adopt...
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ژورنال
عنوان ژورنال: Journal of Water Resources Research
سال: 2014
ISSN: 2166-6024,2166-5982
DOI: 10.12677/jwrr.2014.32016