Abdollahi Asadabadi, S., Akhondali, A. M. and Mirabbasi, R. (2018). Frequency analysis of rainfall characteristics using copula functions (Case study: Kasilian Basin). Eco Hydrology, 5(2), 497-509. .(In Farsi)
Abbasian, M. and Abrishamchi, A. (2014). Comparison of multivariate with univariate analysis for drought event using copula functions. In: Proceedings of 9th National Congress of Civil Engineering, Noshirvani University of Babol, Babol, Iran. (In Farsi)
Ahmadi, F., Radmanesh, F. and Mirabbasi, R. (2016). Analysis of rainfall trends in the northern half of the country in the last half century.Water and Soil Science, 26(1), 207-224. (In Farsi)
Ahmadi, F., Radmanesh, F., Parham, Gh. A. and Mirabbasi, R. (2017). Comparison of common and intelligent methods in estimating the detailed function parameter in order to analyze the multivariate frequency of the minimum flow (Case study: Dez catchment).Eco Hydrology, 4(2), 315-329.(In Farsi)
Ahmadi, F., Nazeri Tahroudi, M., Mirabbasi, R., Khalili, K. and Jhajharia, D. (2018). Spatiotemporal trend and abrupt change analysis of temperature in Iran. Meteorological Applications, 25(2), 314-321.
Bazrafshan, O., Zamani, H. and Shekari, M. (2020). A copula‐based index for drought analysis in arid and semi‐arid regions of Iran. Natural Resource Modeling, 33(1), e12237.
Byun, H. R. and Wilhite, D. A. (1999). Objective quantification of drought severity and duration. Journal of Climate, 12(9), 2747-2756.
Das, J., Jha, S. and Goyal, M. K. (2020). Non-stationary and copula-based approach to assess the drought characteristics encompassing climate indices over the Himalayan states in India. Journal of Hydrology, 580, 124356.
Danandeh Mehr, A., Sorman, A. U., Kahya, E. and Hesami Afshar, M. (2020). Climate change impacts on meteorological drought using SPI and SPEI: case study of Ankara, Turkey. Hydrological Sciences Journal, 65(2), 254-268.
Dinpashoh, Y., Mirabbasi, R., Jhajharia, D., Abianeh, H. Z. and Mostafaeipour, A. (2013). Effect of short-term and long-term persistence on identification of temporal trends. Journal of Hydrologic Engineering, 19(3), 617-625.
Eini, M. R., Javadi, S. and Delavar, M. (2018). Evaluating the performance of CRU and NCEP CFSR global reanalysis climate datasets, in hydrological simulation by SWAT model, Case Study: Maharlu basin. Iran-Water Resources Research, 14(1), 32-44. (In Farsi)
Farrokhnia, A. and Morid, S. (2008). Analysis of drought severity and duration using copula functions. In: Proceedings of 4th National Congress of Civil Engineering, Tehran University, Tehran, Iran. (In Farsi)
Harris, I., Jones, P.D., Osborn T.J. and Lister, D.H.(2013). Updated high-resolution grids of monthly climatic observations - the CRU TS3.10 Dataset. International Journal of Climatology, 34(3), 623-642.
Jahannemaeii, N., Khosravinia, P., Sanikhani, H. and Mirabbasi, R. (2020). Bivariate Analysis of Duration and Severity of Drought in Sanandaj and Saqez Stations. Irrigation and Water Engineering, 11(42), 131-146. .(In Farsi)
Joe, H. (1997). Multivariate models and multivariate dependence concepts. CRC Press.
Kempes, C. P., Myers, O. B., Breshears, D. D. and Ebersole, J. J. (2008). Comparing response of Pinus edulis tree-ring growth to five alternate moisture indices using historic meteorological data. Journal of Arid Environments, 72(4), 350-357.
Khajeh, S., Paimozd, S. and Moghaddasi, M. (2017). Assessing the impact of climate changes on hydrological drought based on reservoir performance indices (case study: ZayandehRud River basin, Iran). Water Resources Management, 31(9), 2595-2610.
Khalili, K., Tahoudi, M. N., Mirabbasi, R., & Ahmadi, F. (2016). Investigation of spatial and temporal variability of precipitation in Iran over the last half century. Stochastic environmental research and risk assessment, 30(4), 1205-1221.
Kim, T. W., Valdés, J. B., and Yoo, C. (2003). Nonparametric approach for estimating return periods of droughts in arid regions. Journal of Hydrologic Engineering, 8(5), 237-246.
Li, L., She, D., Zheng, H., Lin, P. and Yang, Z. L. (2020). Elucidating diverse drought characteristics from two meteorological drought indices (SPI and SPEI) in China. Journal of Hydrometeorology, 21(7), 1513-1530.
Liu, C., Yang, C., Yang, Q. and Wang, J. (2021). Spatiotemporal drought analysis by the standardized precipitation index (SPI) and standardized precipitation evapotranspiration index (SPEI) in Sichuan Province, China. Scientific Reports, 11(1), 1-14.
Mahmoudi, P., Rigi, A. and Kamak, M. M. (2019). Evaluating the sensitivity of precipitation-based drought indices to different lengths of record. Journal of Hydrology, 579, 124181.
McKee, T.B., N.J. Doesken and J. Kleist. 1993. The relationship of drought frequency and duration to time scales. In Proceedings of the 8th Conference on Applied Climatology, 17:179-183.
Mesbahzadeh, T., Mirakbari, M., Mohseni Saravi, M., Soleimani Sardoo, F. and Miglietta, M. M. (2020). Meteorological drought analysis using copula theory and drought indicators under climate change scenarios (RCP). Meteorological Applications, 27(1), e1856.
Moghaddasi, M., Morid, S. and Ghaemi, H. (2005). Daily drought monitoring, Tehran Province. Iranian Journal of Agriculture Science, 26(1), 51-62. (In Farsi)
Mohtashami Borzadaran, H. A. (2013). Distorted copula and its properties. MSc. Thesis, Ferdowsi University Of Mashhad.
Mirakbari, M., A. Ganji and S.R. Fallah. 2010. Regional bivariate frequency analysis of meteorological droughts. Journal of Hydrologic Engineering, 15(12): 985-1000.
Mirabbasi, R., Fakheri-Fard, A. and Dinpashoh, Y. (2012). Bivariate drought frequency analysis using the copula method. Theoretical and Applied Climatology, 108(1), 191-206.
Miri, M., Azizi, G., Khoshakhlagh, F.and Rahimi, M. (2016). Evaluation statistically of temperature and precipitation datasets with observed data in Iran. Iran-Watershed Management Science and, Engineering, 35, 39-51. (In Farsi)
Nazemi A. and Elshorbagy A. (2011). Application of copula modeling to the performance assessment of reconstructed watersheds. Stochastic environmental research and risk assessment, 26(2): 189-205.
Nelsen, R. B. (2006). An Introduction to Copulas. Springer, New York. MR2197664.
Nosrati, K., (2014). Assessment of standardized precipitation evapotranspiration index (SPEI) for drought identification in different climates of Iran. Environmental Science, 12(4), 63-74. (In Farsi)
Pei, Z., Fang, S., Wang, L. and Yang, W. (2020). Comparative analysis of drought indicated by the SPI and SPEI at various timescales in inner Mongolia, China. Water, 12(7), 1925.
Sajeev, A., Deb Barma, S., Mahesha, A. and Shiau, J. T. (2021). Bivariate drought characterization of two contrasting climatic regions in India using copula. Journal of Irrigation and Drainage Engineering, 147(3), 05020005.
Shiau, J. T. (2006). Fitting drought duration and severity with two-dimensional copulas. Water resources management, 20(5), 795-815.
Shiau, J. T. and Shen, H. W. (2001). Recurrence analysis of hydrologic droughts of differing severity. Journal of Water Resources Planning and Management, 127(1), 30-40.
Singh, S. K., Chamorro, A., Srinivasan, M. S. and Breuer, L. (2017). A copula-based analysis of severity-duration-frequency of droughts in six climatic regions of New Zealand. Journal of Hydrology (New Zealand), 56(1), 13-30.
Sklar, M. (1959). Fonctions de repartition an dimensions et leurs marges. Publ. inst. statist. univ. Paris, 8, 229-231.
Vicente-Serrano, S. M., Beguería, S. and López-Moreno, J. I. (2010). A multiscalar drought index sensitive to global warming: the standardized precipitation evapotranspiration index. Journal of climate, 23(7), 1696-1718.
Won, J., Choi, J., Lee, O. and Kim, S. (2020). Copula-based joint drought Index using SPI and EDDI and its application to climate change. Science of the Total Environment, 744, 140701.
Yevjevich, V. (1967). An objective approach to definitions and investigations of continental hydrologic droughts. Journal of Meteorology, 36(5), 41-50.
Yue, S. and Rasmussen, P. (2002). Bivariate frequency analysis: discussion of some useful concepts in hydrological application. Hydrological Processes, 16(14), 2881-2898.
Zamani, R., Mirabbasi, R., Nazeri, M., Meshram, S. G. and Ahmadi, F. (2018). Spatio-temporal analysis of daily, seasonal and annual precipitation concentration in Jharkhand State, India. Stochastic environmental research and risk assessment, 32(4), 1085-1097.
Zhang, Q., Chen, Y. D., Chen, X. and Li, J. (2011). Copula-based analysis of hydrological extremes and implications of hydrological behaviors in the Pearl River basin, China. Journal of Hydrologic Engineering, 16(7), 598-607.
)