Abdul Rauf, U. F. and Zeephongsekul, P.: Copula based analysis of rainfall severity and duration: a case study, Theor. Appl. Climatol., 115, 153–166, 2014.

Aussenegg, W. and Cech, C.: A new copula approach for high-dimensional real world portfolios, Working Paper Series by the University of Applied Sciences bfi Vienna, 68, 1–33, https://www.researchgate.net/publication/267391266, 2012.

Barbe, P., Genest, C., Ghoudi, K., and Remillard, B.: On Kendall's process, J. Multivar. Anal., 58, 197–229, 1996.

Cai, J. B., Liu, Y., Cai, L. Z., and Wu, Y. Y.: A method of determining suitable probability for irrigation project design, Irrig. Drain., 20, 30–31, 2001 (in Chinese).

Cai, X., Hejazi, M. I., and Wang, D.: Value of probabilistic weather forecasts: assessment by real–time optimization of irrigation scheduling, J. Water Resour. Plann. Manage., 137, 391–403, 2011.

Chen, L., Singh, V. P., Guo, S., and Zhou, J.: Copula-based method for multisite monthly and daily streamflow simulation, J. Hydrol., 528, 369–384, 2015.

Chowdhary, H., Escobar, L. A., and Singh, V. P.: Identification of suitable copulas for bivariate frequency analysis of flood peak and flood volume data, Hydrol. Res., 42, 193–215, 2011.

Corbella, S. and Stretch, D. D.: Multivariate return periods of sea storms for coastal erosion risk assessment, Nat. Hazards Earth Syst. Sci., 12, 2699–2708, https://doi.org/10.5194/nhess-12-2699-2012, 2012.

Creal, D. D. and Tsay, R. S.: High dimensional dynamic stochastic copula models, J. Econometrics, 189, 335–345, 2015.

Davidson, B. and Hellegers, P.: Estimating the own–price elasticity of demand for irrigation water in the Musi catchment of India, J. Hydrol., 408, 226–234, 2011.

Dobric, J. and Schmid, F.: A goodness of fit test for copulas based on Rosenblatt's transformation, Comput. Stat. Data Anal., 51, 4633–4642, 2007.

Ganguli, P. and Reddy, M. J.: Evaluation of trends and multivariate frequency analysis of droughts in three meteorological subdivisions of western India, Int. J. Climatol., 34, 911–928, 2014.

Genest, C. and Rivest, L. P.: Statistical inference procedures for bivariate Archimedean copulas, J. Am. Stat. Assoc., 88, 1034–1043, 1993.

Genest, C., Favre, A. C., Béliveau, J., and Jacques, C.: Metaelliptical copulas and their use in frequency analysis of multivariate hydrological data, Water Resour. Res., 43, 223–236, 2007.

Genest, C., Remillard, B., and Beaudoin, D.: Goodness–of–fit tests for copulas: a review and a power study, Insur. Math. Econ., 44, 199–213, 2009.

Gohari, A., Eslamian, S., Abedi-Koupaei, J., Bavani, A. M., Wang, D. B., and Madani, K.: Climate change impacts on crop production in Iran's Zayandeh-Rud River Basin, Sci. Total Environ., 442, 405–419, 2013.

Gräler, B., van den Berg, M. J., Vandenberghe, S., Petroselli, A., Grimaldi, S., De Baets, B., and Verhoest, N. E. C.: Multivariate return periods in hydrology: a critical and practical review focusing on synthetic design hydrograph estimation, Hydrol. Earth Syst. Sci., 17, 1281–1296, https://doi.org/10.5194/hess-17-1281-2013, 2013.

Griffin, R. C.: Achieving water use efficiency in irrigation districts, J. Water Resour. Plann. Manage., 132, 434–442, 2006.

Gringorten, I. I.: A plotting rule for extreme probability paper, J. Geophys. Res., 68, 813–814, 1963.

Lankford, B.: Localising irrigation efficiency, Irrig. Drain., 55, 345–362, 2010.

Leenhardt, D., Trouvat, J. L., Gonzalès, G., Peramaud, V., Prats, S., and Bergez, J. E.: Estimating irrigation demand for water management on a regional scale: II. Validation of ADEAUMIS, Agr. Water Manage., 68, 207–232, 2004.

Leenhardt, D., Angevin, F., Biarnès, A., Colbach, N., and Mignolet, C.: Describing and Locating Cropping Systems on a Regional Scale, in: Sustainable Agriculture, Vol. 2, Springer, Netherlands, 85–95, 2011.

Lian, J., Xu, K., and Ma, C.: Joint impact of rainfall and tidal level on flood risk in a coastal city with a complex river network: a case study of Fuzhou City, China, Hydrol. Earth Syst. Sci., 17, 679-689, doi: 10.5194/hess-17-679-2013, 2013. Liu, Z., Guo, S., Li, T., Hu, Y., and Li, L.: Interval estimation method for design flood region composition, J. Hydraul. Eng., 46, 543-550, doi: 10.13243/j.cnki.slxb.20140928, 2015. (in Chinese)

Liu, Z., Guo, S., Li, T., Hu, Y., and Li, L.: Interval estimation method for design flood region composition, J. Hydraul. Eng., 46, 543–550, 2015 (in Chinese).

Massey, F. J.: The Kolmogorov–Smirnov test for goodness of fit, J. Am. Stat. Assoc., 46, 68–78, 2012.

Meza, F. J., Wilks, D. S., Gurovich, L., and Bambach, N.: Impacts of climate change on irrigated agriculture in the Maipo Basin, Chile: reliability of water rights and changes in the demand for irrigation, J. Water Resour. Plann. Manage., 138, 421–430, 2012.

Michele, C., Salvadori, G., Vezzoli, R., and Pecora, S.: Multivariate assessment of droughts: frequency analysis and dynamic return period, Water Resour. Res., 49, 6985–6994, 2013.

Nappo, G. and Spizzichino, F.: Kendall distributions and level sets in bivariate exchangeable survival models, Inform. Sci., 179, 2878–2890, 2009.

Nelsen, R. B.: An Introduction to Copulas, Springer, New York, 2006.

Rosenblatt, M.: Remarks on a multivariate transformation, Ann. Math. Stat., 23, 470–472, 1952.

Salvadori, G. and Michele, C. D.: Frequency analysis via copulas: Theoretical aspects and applications to hydrological events, Water Resour. Res., 40, 229–244, 2004.

Salvadori, G., De Michele, C., and Durante, F.: On the return period and design in a multivariate framework, Hydrol. Earth Syst. Sci., 15, 3293–3305, https://doi.org/10.5194/hess-15-3293-2011, 2011.

Salvadori, G., Durante, F., and Michele, C. D.: Multivariate return period calculation via survival functions, Water Resour. Res., 49, 2308–2311, 2013.

Serinaldi, F.: An uncertain journey around the tails of multivariate hydrological distributions, Water Resour. Res., 49, 6527–6547, 2013.

Tarjuelo, J. M., Olalla, F. D. S., and Pereira, L. S.: Land and water use: environmental management tools and practices – Preface, Agr. Water Manage., 77, 1–3, 2005.

Thomas, A.: Agricultural irrigation demand under present and future climate scenarios in China, Global Planet. Change, 60, 306–326, 2008.

Tu, X., Singh, V. P., Chen, X., Ma, M., Zhang, Q., and Zhao, Y.: Uncertainty and variability in bivariate modeling of hydrological droughts, Stoch. Environ. Res. Risk A., 30, 1317–1334, 2016.

Tu, X., Du, Y., Chen, X., Chai, Y., and Qing, Y.: Modeling and design on joint distribution of precipitation and tide in the coastal city, Adv. Water Sci., 28, 49–58, 2017a (in Chinese).

Tu, X., Du, X., Singh, V. P., Chen, X., Du, Y., and Li, K.: Joint Risk of Interbasin Water Transfer and Impact of the Window size of Sampling low flows under Environmental Change, J. Hydrol., 554, 1–11, 2017b.

Volpi, E. and Fiori, A.: Hydraulic structures subject to bivariate hydrological loads: Return period, design, and risk assessment, Water Resour. Res., 50, 885–897, 2014.

Wisser, D., Frolking, S., Douglas, E. M., Fekete, B. M., Vorosmarty, C. J., and Schumann, A. H.: Global irrigation water demand: Variability and uncertainties arising from agricultural and climate data sets, Geophys. Res. Lett., 35, L24408, https://doi.org/10.1029/2008GL035296, 2008.

Wriedt, G., Velde, M. V. D., Aloe, A., and Bouraoui, F.: Estimating irrigation water requirements in Europe, J. Hydrol., 373, 527–544, 2009.

Xie, H., Luo, Q., and Huang, J.: Synchronous asynchronous encounter analysis of multiple hydrologic regions based on 3D copula function, Adv. Water Sci., 23, 186–193, 2012 (in Chinese).

Yan, B., Guo, S., Chen, L., and Liu, P.: Flood encountering risk analysis for the Yangtze River and Qingjiang River, J. Hydraul. Eng., 41, 553–559, 2010a (in Chinese).

Yan, B., Guo, S., Guo, J., Chen, L., Liu, P., and Chen, H.: Regional design flood composition based on copula function, J. Hydraul. Eng., 29, 60–65, 2010b (in Chinese).

Zhang, L. and Singh, V. P.: Bivariate flood frequency analysis using the copula method, J. Hydrol. Eng., 11, 150–164, 2006.

Zhang, Q., Li, J., Chen, X., and Bai, Y.: Spatial Variability of Probability Distribution of Extreme Precipitation in Xinjiang, Acta Geogr. Sin., 66, 3–12, 2011 (in Chinese).

Zhang, Q., Li, J., Singh, V. P., and Xu, C.: Copula-based spatio-temporal patterns of precipitation extremes in China, Int. J. Climatol., 33, 1140–1152, 2013.

Zhang, Q., Gu, X., Singh, V. P., Kong, D., and Chen, X.: Spatiotemporal behavior of floods and droughts and their impacts on agriculture in China, Global Planet. Change, 131, 63–72, 2015a.

Zhang, Q., Sun, P., Li, J., Singh, V. P., and Liu, J.: Spatiotemporal properties of droughts and related impacts on agriculture in Xinjiang, China, Int. J. Climatol., 35, 1254–1266, 2015b.

Zhang, Q., Xiao, M. Z., and Singh, V. P.: Uncertainty evaluation of copula analysis of hydrological droughts in the East River basin, China, Global Planet. Change, 129, 1–9, 2015c.