Asgari, E., Baaghideh, M., Entezari, A., Hoseeini, M., & Kamyar. A. (2022). Evaluation of changes in reservoir volume and inflow to Dez Dam under climate change conditions.
Physical Geography Research Quarterly, 54(3), 365-384.
https://doi.org/10.22059/JPHGR.2022.347398.1007721 (In Persian)
Blackshear, B., Crocker, T., Drucker, E., Filoon, J., Knelman, J., & Skiles, M. (2011). Hydropower Vulnerability and Climate Change, A Framework for Modeling the Future of Global Hydroelectric Resources. Middlebury College Environmental Studies Senior Seminar, Middlebury, VT, USA.
Blaker, R.S., & Norton, J.P. (2007). Efficient investigation of the feasible parameter set for large models. Proceeding of the International Congress on Modelling and Simulation, MODSIM: Modelling and Simulation Society of Australia and New Zealand, 1526-1532.
Brekke, L., Thrasher, B.L., Maurer, E.P., & Pruitt, T. (2013). Downscaled CMIP3 and CMIP5 Climate Projections: Release of Downscaled CMIP5 Climate Projections, Comparison with Preceding Information, and Summary of User Needs. U.S. Department of the Interior, Bureau of Reclamation, Technical Service Center, Denver, Colorado, (p.116).
Chu, J.T., Xia, J., Xu, C.Y., & Singh, V.P. (2010). Statistical downscaling of daily mean temperature, pan evaporation and precipitation for climate change scenarios in Haihe River, China.
Theoretical Applied Climatology, 99, 149–161.
https://doi.org/10.1007/s00704-009-01296
Croke, B.F., & Jakeman, A.J. (2008).
Use of the IHACRES rainfall- runoff model in arid and semi- arid regions. In: H.S. Wheater, S. Sorooshian and K.D. Sharma, (eds.)
Hydrological Modelling in Arid and Semi- Arid Areas, 41-48. Cambridge University Press, Cambridge.
https://doi.org/10.1017/CBO9780511535734.005
Fu, G., & Charles, S.P. (2011). Statistical downscaling of daily rainfall for southeastern Australia. In Proceedings of the Symposium JH02 Held during IUGG2011, Melbourne, Australia, 28 June–7 July 2011; IAHS Publ 344; IAHS Press: Wallingford, Melbourn, Australia, 69–74.
Gohari, A., Zareian, M.J., & Eslamian, S. (2015). A multi-model framework for climate change impact assessment. handbook of climate change adaptation, Ed. By Leal Filho, W., Springer, 17-35.
Han, Z., Zuo, Q., Wang, Ch., & Gan, R. (2023). Impact of climate change on natural runoff in the Yelliw River Basin of china during 1961-2020.
Journal of Water, 15(5), 929.
https://doi.org/10.3390/w15050929
Harpham, C., & Wilby, R.L. (2005). Multi-site downscaling of heavy daily precipitation occurrence and amounts.
Journal of Hydrology, 312, 235–255.
https://doi.org/10.1016/j.jhydrol.2005.02.020
IPCC. (2007). Summary for policymakers. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change: Impacts, Adaptation and Vulnerability; Cambridge University Press: Cambridge, UK.
IPCC. (2014). Summary for Policymakers. In Climate Change 2014, Mitigation of Climate Change; Cambridge University Press: Cambridge, UK.
Khadempour, F., Khozeymehnezhad, H., & Amirabadizadeh, M. (2019). Investigating the effects of climate change on daily evapotranspiration in models with different mathematical structures in various climates of Iran.
Journal of Water Research in Agriculture (Soil and Water Sci.), 33(1), 149-163.
https://doi.org/10.22092/jwra.2019.119121 (In Persian)
Khadempour, F., & Amirabadizadeh, M. (2019). Investigating climate change scenarios based on the results of microscale statistical rotation method for temperature variable (case study: Yasouj station).
The 4th International Congress of Agricultural Development, Natural Resources, Environment and Tourism of Iran, Tabriz- Tabriz University of Islamic Arts, Permanent Secretariat- Miyad University and in cooperation with Shiraz University, Yasouj University and Mazandaran University,
23-25 August 2018.
https://civillica.com/doc/97132 (In Persian)
Kheirfam, H., Mostafazadeh, R., & Sadeghi., S.H.R. (2013). Daily discharge prediction using ihacres model in some watersheds of Golestan Province. Journal of Watershed Management Research, 4(7), 114-127. (In Persian)
Littlewood, I.G., Down, K., Parker, J., & Post, D. (1997). IHACRES v1.0 user guide. Center for ecology and hydrology, wallingford, UK and Intergrated catchment assessment and management center, Australian National University, Canberra, (pp. 94).
Liu, W., Fu, G., Liu, C., Song, X., & Ouyang, R. (2013). Projection of future rainfall for the North China Plain using two statistical downscaling models and its hydrological implications. Stoch.
Environmental Research and Risk Assessment, 27(8), 1783–1797.
https://doi.org/10.1007/s00477-013-0714-1
Lopez-Ballesteros, A., Senent-Aparicio, J., Martinez, C., & Perez-Sanchez, J. (2020). Assessment of future hydrologic alteration due to climate change in the Aracthos River basin (NW Greece).
Science of the Total Environment, 733, 139299.
https://doi.org/101016/j.scitotenv.2020.139299
Ma, Z.F., Liu, J., & Yang, S.Q. (2013). Climate Change in Southwest China during 1961–2010: Impacts and Adaptation.
Advances in Climate Change Research, 4(4), 223–229.
https://doi.org/10.3724/SP.J.1248.2013.223
Mclntyre, N., & Al-Qurashi. (2009). Performance of ten rainfall- runoff models applied to an aarid catchment in Oman.
Environmental Modelling and Software, 24(6), 726-738.
https://doi.org/10.1016/j.envsoft.2008.11.001
Motovilov, Y.G., L. Gottschalk, K. Engeland., & A. Rohde. (1999). Validation of a distributed hydrological model against spatial observations.
Agricultural and Forest Meteorology, 98-99, 257-277.
https://doi.org/10.1016/S01681923(99)00102-1
Muelchi, R., Rossler, O., Schwanbeck, J., Weingartner, R., & Martius, O. (2021). An ensemble of daily simulated runoff data (1981-2099) under climate change conditions for 93 catchments in Switzerland (Hydro-CH2018-Runoff ensemble).
Geoscience Data Journal, 9(1), 46-57.
https://doi.org/10.1002/gdj3.117
Niroumandfard, F., Khashei Sivaki, A., Hashemi, R., & Ghorbani, Kh. (2022). Investigation of Climate Change Projection on Temperature and Precipitation Parameters Using CMIP 6 Models (Case Study: Birjand Station).
Iranian Journal of Soil and Water Research, 53(9), 2009-2026.
https://doi.org/10.22059/ijswr.2022.343936.669284 (In Persian).
O'Neil, B.C., Tebaldi, C., & van Vuuren, D.P. (2016). The scenario model intercomparison project (ScenarioMTP) for CMIP6.
Geoscientific Model Development, 9, 3461-82.
https://doi.org/0.5194/gmd-9-3461-2016
Randall, D.A., Wood, R.A., Bony, S., Colman, R., Fichefet, T., Fyfe, J., Kattsov, V., Pitman, A., Shukla, J., Srinivasan, J., & Stouffer, R.J. (2007). Climate Models and Their Evaluation. In Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change; Cambridge University Press: Cambridge, UK.
Roshani, A., & Hamidi. M. (2021). Forecasting the effects of climate change scenarios on temperature & precipitation based on CMIP6 models (Case study: Sari station).
Water management and Irrigation, 11(4), 781-795.
https://doi.org/10.22059/jwim.2022.330603.920 (In Persian)
Sadeghi, S.H.R., Yasrebi, B., & NoorMohammadi, F. (2005). Development and analysis of monthly precipitation runoff relationships for Haraz Watershed in Mazandaran Province. Journal of Agricultural Sciences and Natural Resources of Khazar, 3(1), 1-12. (In Persian)
Taesombat, W., & Sriwongsitanon, N. (2010). Flood investigation in the upper Ping River basin using mathematical models. Kasetsart Natural Science, 44(1), 152-166.
Tebaldi, C., K. Debeire, V. Eyring, E. Fischer, J. Fyfe, P. Friedlingstein, R. Knutti, J. Lowe, B. O'Neill, B. Sanderson., & D. van Vuuren. (2021). Climate model projections from the scenario model intercomparison project (ScenarioMIP) of CMIP6.
Earth System Dynamics, 12(1), 253-293.
https://doi.org/10.5194/esd-12-253-2021
Wilby, R.L., Dawson, C.W., & Barrow, E.M. (2002). SDSM—A decision support tool for the assessment of regional climate change impacts.
Environmental Modelling & Software, 17(2), 145–157.
https://doi.org/10.1016/S13648152(01)00060-3
Yazdandoost, F., Moradian, S., Izadi, A., & Aghakouchak, A. (2021). Evaluation of CMIP6 precipitation simulations across different climate zones; Uncertainty and model intercomparison.
Journal of Atmospheric Research, 250, 105369.
https://doi.org/10.1016/j.atmosres.2020.105369
Ye, W., Jakeman, A.J., & Young, P.C. (1998). Identification of improved rainfall-runoff models for an ephemeral low-yieldind Australian catchement.
Environmental Modelling and Software, 13(1), 59-74.
https://doi.org/10.1016/S1364-8152(98)00004-8
Zareii, M., Habibenegad, M., Ghanbarpour, M.R., & Shahedi, K. (2010). Hydrological Model Classification and Description IHACRES Rainfall-Runoff Model. The 5th National Conference on Watershed Sciences and Engineering of Iran (Sustainable Management of Natural Disasters). Gorgan University of Agricultural Sciences and Natural Resources. (In Persian).
Zareian, M. J., Eslamian, S., & Safavi, H.R. (2015). A modified regionalization weighting approach for climate change impact assessment at watershed scale. Theoretical and Applied Climatology 122(3), 497-516. (In Persian)
Zareian, M.J. (2022). Effects of Climate Change on Temperature and Precipitation in Yazd Province Based on Combined Output of CMIP6 Models.
Journal of Water and Soil Science, 26(2), 91-105.
https://doi.org/10.47176/jwss.26.2.31501 (In Persian)
Zhao, X., Fang, K., Chen, F., Martin, H., & Roig, F.A. (2023). Reconstructed Jing River streamflow from western China; a 399-year perspective for hydrological changes in the Loess Plateau.
Journal of Hydrology, 621, 129573. https://doi.org/10.1016/j.jhydrol.2023.129573
