Amirataee, B., Montaseri, M., & Yasi, M. (2013). Comparison of Inherent Performance of Seven Drought Indices in Drought Mitigation Using a Monte Carlo Simulation Approach. Journal of Civil and Environmental Engineering, 43(1), 25-39. (In Persian)
Ayantobo, O.O., Li, Y., Song, S., Javed, T., Yao, N., (2018). Probabilistic modelling of drought events in China via 2-dimensional joint copula.
Journal of Hydrology, 559, 373–391. doi:
10.1016/j.jhydrol.2018.02.022
Capéraà, P., Fougères, A.L., & Genest, C. (1997). A nonparametric estimation procedure for bivariate extreme value copulas. Biometrika, 84(3), 567-577.
Cunha, A. P. M. A., Zeri, M., Deusdará Leal, K., Costa, L., Cuartas, L. A., Marengo, J. A., Tomasella, J., Vieira, R. M., Barbosa, A. A., Cunningham, C., Cal Garcia, J. V., Broedel, E., Alvalá, R., & Ribeiro-Neto, G. (2019). Extreme Drought Events over Brazil from 2011 to 2019. Atmosphere, 10(11), 642.
https://doi.org/10.3390/atmos10110642
Da Rocha Júnior, R.L., dos Santos Silva, F.D., Costa, R.L., Gomes, H.B., Pinto, D.D.C., Herdies, D.L. (2020). Bivariate assessment of drought return periods and frequency in Brazilian northeast using joint distribution by copula method.
Geosciences,
10(4), 135. doi:
10.3390/geosciences10040135.
Dodangeh, E., Shahedi, K., Solaimani, K., Shiau, J.T., & Abraham, J. (2019). Databased bivariate uncertainty assessment of extreme rainfall-runoff using copulas: comparison between annual maximum series (AMS) and peaks over threshold (POT).
Environmental Monitoring and Assessment, 191(2), 67. doi:
10.1007/s10661-019-7202-0.
Dracup, J.A., Lee, K.S., & Paulson, E.G.R. (1980). on the statistical characteristics of drought events.
Water Resources Reseaarch, 16(2), 289-96. doi:
10.1029/WR016i002p00289.
Grillakis, M.G. (2019). Increase in severe and extreme soil moisture droughts for Europe under climate change. Science of the Total Environment, 60, 1245–1255. doi:10.1016/j.scitotenv.2019.01.001
Hayes, M.J., Svoboda, M.D., Wilhite, D.A., Vanyarkho, O.V. (1999). Monitoring the 1996 drought using the standardized precipitation index.
Bulletin of American Meteorological Society,
80(3), 429–438 doi:
10.1175/1520-0477(1999)080<0429:MTDUTS>2.0.CO;2
McKee, T.B., Doesken, N.J., & Kleist, J. (1993). The relationship of drought frequency and duration to time scales. In: 8
th conference on applied climatology. American Meteorological Society, Boston.
Atmospheric and Climate Sciences, 17 - 22 January 1993, Anaheim, California
Mehr, A.D., Sorman, A.U., Kahya, E., & Afshar, M.H. (2020). Climate change impacts on meteorological drought using SPI and SPEI: Case study of Ankara, Turkey.
Hydrological Sciences Journal 65, 254–268. doi:
10.1080/02626667.2019.1691218
Mirabbasi Najafabadi, R., Fakheri-Fard, A., & Dinpashoh, Y. (2012). Bivariate drought frequency analysis using the copula method. Theoretical and Applied Climatology, 108(2-1), 191-206.
Mirabbasi Najafabadi, R., Fakheri-Fard, A., Dinpashoh, Y., & Eslamian, S. (2014). Longterm drought monitoring of Urmia using joint deficit index (JDI). Water and Soil Science, 23(4), 87-103. (In Persian)
Nabaei, S., Sharafati, A., Yaseen, Z.M., & Shahid, S. (2019). Copula based assessment of meteorological drought characteristics: regional investigation of Iran.
Agricultural and Forest Meteorology, 76, 107611. doi:
10.1016/j.agrformet.2019.06.010
Nelsen, R.B. (2006) An Introduction to Copulas. Springer. https://doi.org/10.1007/0-387-28678-0.
Sabziparvar,A., Kazemi, A. (2010). Study of solid waste management of hotels placed in District No 6 of the City of Tehran. Journal of Environmental Science and Technology, 1, 97-112. (In Persian)
Salvadori, G., De Michele, C. (2006). Statistical characterization of temporal structure of storms.
Advances in Water Resources, 29(6), 827–842.
doi:10.1016/j.advwatres.2005.07.013
Shiau, J. (2006). Fitting drought duration and severity with twodimensional copulas. Water Resources Management, 20(5), 795–815. doi:10.1007/s11269-005-9008-9
Tosunoglu, F., & Can, I. (2016). Application of copulas for regional bivariate frequency analysis of meteorological droughts in Turkey. Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 82, 1457–1477. doi:10.1007/s11069-016-2253-9
Wang, Y., Liu, G., & Guo, E., (2019). Spatial distribution and temporal variation of drought in Inner Mongolia during 1901–2014 using standardized precipitation evapotranspiration index. Science of the Total Environment, 654, 850–862. doi:10.1016/j.scitotenv.2018.10.425.
Zhang, L., Wang, Y., Chen, Y., Bai, Y., & Zhang, Q. (2020). Drought risk assessment in central Asia using a probabilistic copula function approach.
Water, 12(2), 421.
doi:10.3390/w12020421
)