| نویسندگان | Mostafa Yaghoobzadeh |
| نشریه | water harvesting research |
| شماره صفحات | 157-171 |
| شماره سریال | 6 |
| شماره مجلد | 2 |
| نوع مقاله | Full Paper |
| تاریخ انتشار | 2023 |
| نوع نشریه | الکترونیکی |
| کشور محل چاپ | ایران |
| نمایه نشریه | isc |
چکیده مقاله
Climate is a complex system that is affected by changes in climatic parameters. By predicting and
examining the range of changes in meteorological parameters in the future, it is possible to adopt
appropriate solutions to reduce the harmful effects of climate change. Using atmospheric general
circulation models is the most reliable method. In this study, precipitation, maximum and minimum
temperatures of five synoptic stations of Birjand, Qaen, Nehbandan, Ferdows and Tabas, for the base
period of 1988 to 2005 as well as the outputs of six climate models of CanESM2, GFDL-CM3,
CSIRO-MK3, MPI-ESM - LR, MIROC-ESM and GISS-ES-R, were collected under RCP8.5 and
RCP4.5 emission scenarios for a 16-year period (2020-2035) and downscaled using the LARS-
WG5.0 model. Then, using the RMSE and MAE statistical indices, the quality of the down-scale
representation was evaluated. Afterwards, by calculating the climate classification indices of De
Martonne and Amberger, the province was classified with the help of GIS software. De Martonne
classification indicates that the climate of the province will not change in the near future compared
to the base period while based on the classification of Amberger and under all six models and both
scenarios, Birjand, Qaen and Ferdows cities are predicted to have temperate climate and Tabas city
is expected have a hot and mild desert climate. For Nehbandan city, the GFDL-CM3, CSIRO-MK3
and GISS-ES-R models of the fifth report under the RCP4.5 scenario predicted a moderate climate
and the rest of the large-scale models predicted a moderate desert climate
لینک ثابت مقاله