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Showing 3 results for Downscaling

Zahra Hejazizadeh, Parisa Sadat Ashofteh, Ebrahim Fatahi, Zahra Gholampour,
Volume 15, Issue 38 (4-2015)
Abstract

Abstract

In this study, the predicted monthly temperature and rainfall data from HadCM3 model (base period, ۱۹۷۲-۲۰۰۱) and next period (۲۰۱۱-۲۰۴۰) under A2emission scenario were used to investigate the impacts of climate change on runoff variations in the Kor river basin. HadCM3 model output was downscaled based on a temporal downscaling approach (Change Factor) and spatial downscaling approach (Proportional) for the basin. The time series of monthly temperature and precipitation were produced in future period. The results showed that temperature and rainfall will increase and decrease in the future period relative to the base period, respectively. Then, the calibrated IHACRES model was used to model rainfall-runoff relationships in the Kor river basin. Then, the downscaled monthly temperature and rainfall time series in next period were employed to rainfall-runoff model and the monthly runoff time series were simulated for period ۲۰۱۱- ۲۰۴۰. The comparison of future period runoff relative to observed period showed that the annual runoff in the basin for period ۲۰۱۱-۲۰۴۰ will decrease about ۹٫۴۳% with respect to base period.


, ,
Volume 16, Issue 42 (9-2016)
Abstract

In this research, impacts of climate change on the streamflow hydrological status of the Arazkooseh River are discussed. After Calibration and validation of the LARS-WG, HadCM3 was downscaled under A2 Scenario in three climatology station. Beside, calibration and validation of the SWAT model were done by observed data relative to past period of times. Streamflow values are then predicted using climatic parameters of period of 2011-2030, 2046-2065 and 2080-2099 years via SWAT model. The results indicated that the average annual temperature will increased around 0.8, 1.2 and 4.9 °C in desired periods, respectively. Precipitation values will increased 8.8 and 11.2 percent in the early and mid- century and it will decreased with 7.8 percent in the last years of century, correspondingly. The peak of rainfall will moved from month of March to the December. Because of climate changes, streamflow will increase 13 and 5 percent in the near periods. By contrast, in this case, it will reduce around 18 percent in far future. In this case research, the river discharge will increased in autumn and will decreased in spring seasons. Likewise, results of estimation showed that the annual peak flow will shifted from month of March to the April.


Zohreh Maryanji, Fatemeh Sotoudeh, Meysam Toulabi Nejad, Ziba Zarrin,
Volume 25, Issue 77 (6-2025)
Abstract

Understanding and predicting future climatic conditions and characteristics is essential because of their importance in all aspects of life. This study seeks to examine the process of modifying temperatures in the Hamedan region by using Downscaling data to predict the public circulation data and its changes. The Lars Explore Downscaling Model has been used to fine-tune the data of the General Transport Model (HADGEM2-ES) and the paired model (CMIP5) and under the three release scenarios RCP2.5, RCP4.5, and RCP8.5). Estimates of the correlation of simulated data and actual data show values of more than 0.95 for all months. P_value also showed the statistical tests of model output, acceptable values in model performance in production and simulation. As a result, the data were extracted from 2011 to 2050. Data were examined in three intervals to detect trend changes. The results show that in the optimistic scenario (RCP2.5) there is no tangible trend in the mean and minimum temperature, while in the RCP4.5 and RCP8.5 scenario there are significant trends in temperature data and accordingly increase the minimum temperature, according to the increase in the minimum temperature, according to the increase in the minimum temperature, according to the increase 1 degree in the average temperature. It shows severe climate change that, especially in the cold season, changes the type of precipitation. Also, based on the data process, the significant increase in the average annual and monthly scale temperature in all three scenarios under study will indicate the environmental crisis ahead.


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