- Akinsanola, A. A., Ongoma, V., & Kooperman, G. J. (2021). Evaluation of CMIP6 models in simulating the statistics of extreme precipitation over Eastern Africa. Atmospheric Research, 254, 105509.
- Ahmadi Akhormeh, M., Nohegar, A., Soleimani Motlagh, M., & Taie Samiromi, M. (2015). Groundwater Drought Investigating using SWI and GRI Indices) Case Study: Marvdasht Kharameh Aquifer). Iranian Journal of Irrigation and Water Engineering, 6(1), 105-118. (In Persian)
- Klutse, N. A. B., Quagraine, K. A., Nkrumah, F., Quagraine, K. T., Berkoh-Oforiwaa, R., Dzrobi, J. F., & Sylla, M. B. (2021). The climatic analysis of summer monsoon extreme precipitation events over West Africa in CMIP6 simulations. Earth Systems and Environment, 5(1), 25-41.
- Ashraf, S., AghaKouchak, A., Nazemi, A., Mirchi, A., Sadegh, M., Moftakhari, H. R., ... & Mallakpour, I. (2019). Compounding effects of human activities and climatic changes on surface water availability in Iran. Climatic Change, 152(3), 379-391.
- Auer, C., Kriegler, E., Carlsen, H., Kok, K., Pedde, S., Krey, V., & Müller, B. (2021). Climate change scenario services: From science to facilitating action. One Earth, 4(8), 1074-1082.
- Bağçaci, S. Ç., Yucel, I., Duzenli, E., & Yilmaz, M. T. (2021). Intercomparison of the expected change in the temperature and the precipitation retrieved from CMIP6 and CMIP5 climate projections: A Mediterranean hot spot case, Turkey. Atmospheric Research, 256, 105576.
- Bhardwaj, K., & Mishra, V. (2021). Drought detection and declaration in India. Water Security, 14, 100104.
- Bloomfield, J. P., & Marchant, B. P. (2013). Analysis of groundwater drought building on the standardised precipitation index approach. Hydrology and Earth System Sciences, 17(12), 4769-4787.
- Bloomfield, J. P., Marchant, B. P., Bricker, S. H., & Morgan, R. B. (2015). Regional analysis of groundwater droughts using hydrograph classification. Hydrology and Earth System Sciences, 19(10), 4327-4344.
- Boucher, O., Servonnat, J., Albright, A. L., Aumont, O., Balkanski, Y., Bastrikov, V., ... & Vuichard, N. (2020). Presentation and evaluation of the IPSL‐CM6A‐LR climate model. Journal of Advances in Modeling Earth Systems, 12(7), e2019MS002010.
- Brêda, J. P. L. F., de Paiva, R. C. D., Collischon, W., Bravo, J. M., Siqueira, V. A., & Steinke, E. B. (2020). Climate change impacts on South American water balance from a continental-scale hydrological model driven by CMIP5 projections. Climatic Change, 159(4), 503-522.
- Costa, D., Zhang, H., & Levison, J. (2021). Impacts of climate change on groundwater in the Great Lakes Basin: A review. Journal of Great Lakes Research, 47(6), 1613-1625.
- Dell, M., Jones, B. F., & Olken, B. A. (2012). Temperature shocks and economic growth: Evidence from the last half century. American Economic Journal: Macroeconomics, 4(3), 66-95.
- Ekrami, M., Fathimarj, A., Barkhordaeu, J. (2015). Assessment Agricultural Drought Vulnerability In Arid and S-arid climates using GIS and AHP, A Case Study for Taft Township, Yazd province, Iran. Iranian Journal of Irrigation and Water Engineering, 5(4), 107-117. (In Persian)
- Emamgholizadeh, S., Moslemi, K., & Karami, G. (2014). Prediction the groundwater level of bastam plain (Iran) by artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS). Iranian Journal of Water Resources Management, 28(15), 5433-5446. (In Persian)
- Gerten, D., Rost, S., von Bloh, W., & Lucht, W. (2008). Causes of change in 20th century global river discharge. Geophysical Research Letters, 35(20).
- Guenang, G. M., & Mkankam Kamga, F. (2014). Computation of the standardized precipitation index (SPI) and its use to assess drought occurrences in Cameroon over recent decades. Journal of Applied Meteorology and Climatology, 53(10), 2310-2324.
- Hassan, W. H. (2020). Climate change impact on groundwater recharge of Umm er Radhuma unconfined aquifer Western Desert, Iraq. International Journal of Hydrology Science and Technology, 10(4), 392-412.
- Lloyd‐Hughes, B., & Saunders, M. A. (2002). A drought climatology for Europe. International Journal of Climatology, 22(13), 1571-1592.
- Hong, J., Javan, K., Shin, Y., & Park, J. S. (2021). Future Projections and Uncertainty Assessment of Precipitation Extremes in Iran from the CMIP6 Ensemble. Atmosphere, 12(8), 1052.
- Hosseinzadeh, M. M., & Nohegar, A. (2011). Studying the Effect of Drought on Water Resources over Two Decades and Occurrences of the Sinking Phenomenon in Minab Plain. Iranian Journal of Environmental Science, 9(1), 75-98. (In persian)
- Huang, J., Cao, L., Yu, F., Liu, X., & Wang, L. (2021). Groundwater drought and cycles in Xuchang City, China. Frontiers in Earth Science, 9, 831.
- Javadinejad, S., Dara, R., & Jafary, F. (2020). Evaluation of hydro-meteorological drought indices for characterizing historical and future droughts and their impact on groundwater. Resources Environment and Information Engineering, 2(1), 71-83.
- Kamworapan, S., Thao, P. T. B., Gheewala, S. H., Pimonsree, S., & Prueksakorn, K. (2021). Evaluation of CMIP6 GCMs for simulations of temperature over Thailand and nearby areas in the early 21st century. Heliyon, 7(11), e08263.
- Kaur, N., Kaur, S., Kaur, P., & Aggarwal, R. (2021). Impact of climate change on groundwater levels in Sirhind Canal Tract of Punjab, India. Groundwater for Sustainable Development, 15, 100670.
- Kaur, N., Tech, M., Kaur, S., Kaur, P., Ph, D., & Aggarwal, R. (2021). Groundwater for Sustainable Development Impact of climate change on groundwater levels in Sirhind Canal Tract of. Groundwater for Sustainable Development, 15(August 2020), 100670.
- Khosravi, A., Mirabbasi, R., Samadi Boroujeni, H., & Ghasemi Dastgerdi, A. R. (2019). Monitoring and Forecasting of Groundwater Drought Using Groundwater Resource Index (GRI) and First to Third-Order Markov Chain Models (Case study: Boroujen Plain). Iranian Journal of Water and Soil Conservation, 26(2), 117-136. (In Persian)
- Kumar, R., Musuuza, J. L., Van Loon, A. F., Teuling, A. J., Barthel, R., Ten Broek, J., ... & Attinger, S. (2016). Multiscale evaluation of the Standardized Precipitation Index as a groundwater drought indicator. Hydrology and Earth System Sciences, 20(3), 1117-1131.
- Lloyd‐Hughes, B., & Saunders, M. A. (2002). A drought climatology for Europe. International Journal of Climatology, 22(13), 1571-1592.
- McKee, T. B., Doesken, N. J., & Kleist, J. (1993). The relationship of drought frequency and duration to time scales. Proceedings of the 8th Conference on Applied Climatology, 17(22), 179-183. Boston.
- Mechoso, C. R., Arakawa, A., & Angeles, L. (2015). General Circulation Models. In Encyclopedia of Atmospheric Sciences 2nd Edition (Second Edition, Vol. 4). Elsevier.
- Mendicino, G., Senatore, A., & Versace, P. (2008). A Groundwater Resource Index (GRI) for drought monitoring and forecasting in a Mediterranean climate. Journal of Hydrology, 357(3-4), 282-302.
- Mesbah Zadeh, T., & Soleymani Sardoo, F. (2018). Assessment of the temporal and spatial pattern of meteorology and hydrogeology drought in arid and desert regions (Case study: Bam plain). Iranian Journal of Rangeland and Desert Research, 25(2), 366-377. (In Persian)
- Mishra, A. K., & Singh, V. P. (2010). Review paper A review of drought concepts. Journal of Hydrology, 391(1-2), 202-216.
- Nashwan, M. S., & Shahid, S. (2022). Future precipitation changes in Egypt under the 1.5 and 2.0°C global warming goals using CMIP6 multimodel ensemble. Atmospheric Research, 265, 105908.
- Nayyeri, M., Hosseini, S. A., Javadi, S., & Sharafati, A. (2021). Spatial differentiation characteristics of groundwater stress index and its relation to land use and subsidence in the Varamin Plain, Iran. Natural Resources Research, 30(1), 339-357.
- Ritchie, M., Frazier, T., Johansen, H., & Wood, E. (2021). Early climate change indicators in the Arctic: A geographical perspective. Applied Geography, 135, 102562.
- Roshun, S. H., & Habibnejad Roshan, M. (2018). Monitoring of temporal and spatial variation of groundwater drought using GRI and SWI indices (Case study: Sari-Neka plain). Iranian Journal of Watershed Management Research, 9(17), 269-279. (In Persian)
- Saeedi Razavi, B., & Arab, A. (2019). Groundwater Level Prediction of Ajabshir Plain using Fuzzy Logic, Neural Network Models and Time Series. Iranian Journal of Hydrogeology, 3(2), 69-81. (In Persian)
- Sanginabadi, H., Saghafian, B., & Delavar, M. (2019). Monitoring and assessing the characteristics of groundwater drought in aquifers with negative balance. Iranian Journal of Iran-Water Resources Research, 15(3), 155-166. (In Persian)
- Schreiner-McGraw, A. P., & Ajami, H. (2021). Delayed response of groundwater to multi-year meteorological droughts in the absence of anthropogenic management. Journal of Hydrology, 603, 126917.
- Sharafi, L., Zarafshani, K., Keshavarz, M., Azadi, H., & Van Passel, S. (2020). Drought risk assessment: Towards drought early warning system and sustainable environment in western Iran. Ecological Indicators, 114, 106276.
- Seidenfaden, I. K., Jensen, K. H., & Sonnenborg, T. O. (2021). Climate change impacts and uncertainty on spatiotemporal variations of drought indices for an irrigated catchment. Journal of Hydrology, 601, 126814.
- Sobhani, B., Eslahi, M., & Babaeian, I. (2017). Comparison of statistical downscaling in climate change models to simulate climate elements in Northwest Iran. Iranian Journal of Physical Geography Research Quarterly, 49(2), 301-325. (In Persian)
- Song, Z., Xia, J., She, D., Li, L., Hu, C., & Hong, S. (2021). Assessment of meteorological drought change in the 21st century based on CMIP6 multi-model ensemble projections over mainland China. Journal of Hydrology, 601, 126643.
- Swart, N. C., Cole, J. N., Kharin, V. V., Lazare, M., Scinocca, J. F., Gillett, N. P., ... & Winter, B. (2019). The Canadian earth system model version 5 (CanESM5. 0.3). Geoscientific Model Development, 12(11), 4823-4873.
- Trambauer, P., Maskey, S., Werner, M., Pappenberger, F., Van Beek, L. P. H., & Uhlenbrook, S. (2014). Identification and simulation of space–time variability of past hydrological drought events in the Limpopo River basin, southern Africa. Hydrology and Earth System Sciences, 18(8), 2925-2942.
- Tramblay, Y., Koutroulis, A., Samaniego, L., Vicente-Serrano, S. M., Volaire, F., Boone, A., ... & Polcher, J. (2020). Challenges for drought assessment in the Mediterranean region under future climate scenarios. Earth-Science Reviews, 210, 103348.Vaghefi, S. A., Keykhai, M., Jahanbakhshi, F., & Sheikholeslami, J. (2019). The future of extreme climate in. Scientific Reports, December 2018, 1-11. https://doi.org/10.1038/s41598-018-38071-8
- Van Lanen, H. A. (2006). Drought propagation through the hydrological cycle. IAHS publication, 308, 122.
- Venturini, A. (2022). Climate change, risk factors and stock returns: A review of the literature. International Review of Financial Analysis, 79, 101934.
- Wanders, N., van Lanen, H. A., & van Loon, A. F. (2010). Indicators for drought characterization on a global scale(No. 24). Wageningen Universiteit.
- Wang, D., Liu, J., Shao, W., Mei, C., Su, X., & Wang, H. (2021). Comparison of CMIP5 and CMIP6 Multi-Model Ensemble for Precipitation Downscaling Results and Observational Data: The Case of Hanjiang River Basin. Atmosphere, 12(7), 867.
- Wang, T., Tu, X., Singh, V. P., Chen, X., & Lin, K. (2021). Global data assessment and analysis of drought characteristics based on CMIP6. Journal of Hydrology, 596, 126091.
- Wen, X., Feng, Q., Yu, H., Wu, J., Si, J., Chang, Z., & Xi, H. (2015). Wavelet and adaptive neuro-fuzzy inference system conjunction model for groundwater level predicting in a coastal aquifer. Neural Computing and Applications, 26(5), 1203-1215.
- Wilhite, D. A., & Glantz, M. H. (1985). Understanding: the drought phenomenon: the role of definitions. Water International, 10(3), 111-120.
- Xu, Y., Zhang, X., Hao, Z., Hao, F., & Li, C. (2021). Projections of future meteorological droughts in China under CMIP6 from a three‐dimensional perspective. Agricultural Water Management, 252, 106849.
- Zandifar, S., Fijani, E., Naeimi, M., & Khosroshahi, M. (2020). Spatiotemporal variations of groundwater drought indices, Case study: Zohreh-Jarrahi watershed. Iranian Journal of Hydrogeology, 4(2), 108-130. (In Persian)
- Zarrin, A., & Dadashi-Roudbari, A. (2021). Projection of future extreme precipitation in Iran based on CMIP6 multi-model ensemble. Theoretical and Applied Climatology, 144(1), 643-660.
- Zhang, G., Su, X., Singh, V. P., & Ayantobo, O. O. (2021). Appraising standardized moisture anomaly index (SZI) in drought projection across China under CMIP6 forcing scenarios. Journal of Hydrology: Regional Studies, 37, 100898.
- Zhao, X., Huang, G., Li, Y., Lin, Q., Jin, J., Lu, C., & Guo, J. (2021). Projections of meteorological drought based on CMIP6 multi-model ensemble: A case study of Henan Province, China. Journal of Contaminant Hydrology, 243, 103887.
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