رحیمزاده، ف. و عسگری، ا. 1383، نگرشی بر تفاوت نرخ افزایش دمای حداقل و حداکثر و کاهش دامنه شبانه روزی دما در کشور. تحقیقات جغرافیایی، 73(19)، 155-171.
مطالعات شناسایی توجیهی طرح آبخیزداری تجن (حوضه آبریز سد شهید رجائی)، 1332، شرکت خدمات مهندسی جهاد، مهندسین مشاور خزر، جلد10.
موجرلو، ف.، فضلاولی، ر. و عمادی، ع. 1398، کاربرد مدل IHACRES برای ارزیابی اثرات تغییر اقلیم بر دبی حوضه آبریز تجن. نشریه آبیاری و زهکشی ایران، 13(1)، 129-141.
Akbari, M., Malekinezhad, H., & Hajibigloo, M. (2025). Analysis of Climate Change and Future Trends of Precipitation and Temperature in the Karde Dam Basin. Desert Management, 12(4), 87-106.
Ba, W., Du, P., Liu, T., Bao, A., Luo, M., Hassan, M., & Qin, C. (2018). Simulating hydrological responses to climate change using dynamic and statistical downscaling methods: a case study in the Kaidu River Basin, Xinjiang, China. Journal of Arid Land, 10, 905-920.
Benestad, R. E., Chen, D. & Hanssen-Bauer I. (2008). Empirical-statistical downscaling. World Climate Research Programme, WCRP Report No. 2008-1.
Bolin, B. R. (1986). The greenhouse effect, climate change and ecosystems. SCOPE Report No. 29.
Busuioc A., Giorgi F. & Bi X. (2006). Comparison of regional climate model and statistical downscaling simulations of different winter precipitation change scenarios over Romania. Theoretical and Applied Climatology, 86(1–4): 101–123.
Challa, V., & Renganathan, M. (2025). Assessment of climate change impact on meteorological variables of Indravati River Basin using SDSM and CMIP6 models. Environmental Monitoring and Assessment, 197(1), 1-22.
Chen, J., Brissette, F. P., Poulin, A., & Leconte, R. (2011). Overall uncertainty study of the hydrological impacts of climate change for a Canadian watershed. Water Resources Research, 47(12). https://doi.org/10.1029/2011WR010602
Christensen J H & Christensen O B. (2007). A summary of the PRUDENCE model projections of changes in European climate by the end of this century. Climatic Change, 81: 7–30.
Fowler, H. J., Blenkinsop, S., & Tebaldi, C. (2007). Linking climate change modelling to impacts studies: Recent advances in downscaling techniques for hydrological modelling. International Journal of Climatology, 27(12), 1547-1578. https://doi.org/10.1002/joc.1556
Giorgi, F., & Mearns, L. O. (1999). Introduction to special section: Regional climate modeling revisited. Journal of Geophysical Research: Atmospheres, 104(D6), 6335–6352. https://doi.org/10.1029/98JD02072
Hashmi, M. Z., Shamseldin, A. Y., & Melville, B. W. (2011). Statistical downscaling of rainfall using SDSM for a climate change impact assessment in the upper Indus Basin. International Journal of Climatology, 31(11), 1579-1593. https://doi.org/10.1002/joc.2179
Hewitson, B. C., & Crane, R. G. (2006). Consensus between GCM climate change projections with empirical downscaling: Precipitation downscaling over South Africa. International Journal of Climatology, 26(10), 1315-1337. https://doi.org/10.1002/joc.1314
IPCC (2021). Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press.
Lana, M. A., Eulenstein, F., Schlindwein, S., Guevara, E., Meira, S., Wurbs, A., ... & Bonatti, M. (2016). Regionalization of climate scenarios impacts on maize production and the role of cultivar and planting date as an adaptation strategy. Regional Environmental Change, 16(5), 1319-1331.
Liu, Y., Zhang, L., & Wang, Z. (2022). Comparison of statistical and machine learning models for temperature downscaling in the Tibetan Plateau. Journal of Climate, 35(5), 1234-1247.
Maslin, M. (2014). Climate change: a very short introduction. OUP Oxford.
Mearns L O, Bogardi I & Giorgi F. (1999). Comparison of climate change scenarios generated from regional climate model experiments and statistical downscaling. Journal of Geophysical Research Atmospheres, 104(D6): 6603–6621.
Meinshausen, M., Nicholls, Z. R. J., Lewis, J., Gidden, M. J., Vogel, E., Freund, M., ... & Rogelj, J. (2020). The SSP greenhouse gas concentrations and radiative forcing geoscientific model. Geoscientific Model Development, 13(8), 3571–3605. https://doi.org/10.5194/gmd-13-3571-2020
Mupenzi J D L P & Li L. (2011). Impacts of global warming perturbation on water resources in arid zone: Case study of Kaidu River Basin in Northwest China. Journal of Mountain Science, 8: 704–710.
Nakamura, R., & Shimatani, Y. (2021). Extreme-flood control operation of dams in Japan. Journal of Hydrology: Regional Studies, 35, 100821.
O’Neill, B. C., Kriegler, E., Riahi, K., Ebi, K. L., Hallegatte, S., Carter, T. R., & van Vuuren, D. P. (2016). The roads ahead: Narratives for shared socioeconomic pathways describing world futures in the 21st century. Global Environmental Change, 42, 169-180. https://doi.org/10.1016/j.gloenvcha.2015.01.004
Riahi, K., van Vuuren, D. P., Kriegler, E., Edmonds, J., O'Neill, B. C., Fujimori, S., & Tavoni, M. (2017). The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: An overview. Global Environmental Change, 42, 153-168.
Sachindra D. A., Huang F. & Barton A. F. (2014). Multi-model ensemble approach for statistically downscaling general circulation model outputs to precipitation. Quarterly Journal of the Royal Meteorological Society, 140: 1161–1178.
Schittkowski, K. (2002). EASY-FIT: a software system for data fitting in dynamical systems. Structural and Multidisciplinary Optimization, 23, 153-169.
Xu C. C., Zhao J. & Deng H. J. (2016). Scenario-based runoff prediction for the Kaidu River basin of the
Tianshan Mountains, Northwest China. Environmental Earth Sciences, 75: 1126.