**5. Conclusions**

In this study, the downscaling of two important climatic variables—temperature and precipitation—was done by the CanESM2 and HadCM3 models for the province of Qazvin, located in Iran. The used scenarios were able to predict the daily mean temperature and annual precipitation for the three different future periods 2010–2039, 2040–2069, and 2070–2099. The CanESM2 scenarios seemed to be more efficient than the HadCM3 scenarios in simulating the future temperature and precipitation trends of the region. Generally, the region's daily mean temperature tended to increase and the annual precipitation tended to decrease in the three prospective periods investigated. However, scenarios rcp2.6 and B2, respectively, predicted that the precipitation would decrease less or even increase in the third period (2070–2099). Scenario rcp2.6 was assumed to be the most efficient to predict the dryland winter wheat yield of the province for the upcoming decades. The grain yield was projected to considerably decrease in the three periods, especially in the last period. The yield reductions are assumed to mainly be due to the decrease in precipitation in March during the investigated periods. Some adaptive strategies to prevent the detrimental impacts of climate change on the province dryland wheat yield include the cultivation of resistant winter wheat varieties to drought as well as earlier sowing dates. The authors would like to recommend the comparative use of the applied CanESM2 and HadCM3 scenarios to predict climatic variables of other semi-arid regions.

**Author Contributions:** Conceptualization, B.M.; Methodology, B.M. and M.N.; Software, B.M. and M.N.; Validation, B.M. and M.N.; Formal Analysis, B.M. and M.N.; Investigation, B.M. and M.N.; Resources, B.M. and M.N.; Data Curation, B.M. and M.N.; Writing-Original Draft Preparation, M.N.; Writing-Review & Editing, B.M. and M.N.; Visualization, B.M. and M.N.; Supervision, B.M. and M.N.; Project Administration, B.M.; Funding Acquisition, B.M.

**Funding:** This research received no external funding.

**Acknowledgments:** The authors would like to acknowledge the personnel of the Qazvin Meteorological Organization for providing the meteorological data. Mohammad Eteghadipour is also acknowledged for his useful scientific guides.

**Conflicts of Interest:** The authors declare no conflicts of interest.
