2003

De Michele C, Salvadori G (2003) A Generalized Pareto intensity-duration model of storm rainfall exploiting 2-copulas. Journal of Geophysical Research, 108(D2), 4067, doi:10.1029/2002JD002534.

Genest, C., and J. C. Boies (2003), Detecting dependence with Kendall plots, American Statistician, 57 (4), 275–284.

2004

Beersma JJ, Buishand TA (2004) Joint probability of precipitation and discharge deficits in the Netherlands. Water Resources Research 40:W12508, doi:10.1029/2004WR003265.

Favre A-C, El Adlouni S, Perreault L, Thiémonge N, Bobée B (2004) Multivariate hydrological frequency analysis using copulas. Water Resources Research, 40:W01101, doi:10.1029/2003WR002456.

Hall P.; Tajvidi N. (2004) “Prediction Regions for Bivariate Extreme Events” Australian & New Zealand Journal of Statistics, Volume 46, Number 1, March 2004 , pp. 99-112(14)

Hürlimann, W. (2004) Fitting bivariate cumulative returns with copulas Comp. Statis. Data Anal. 45, 355–372.

Salvadori G, De Michele C (2004) Analytical calculation of storm volume statistics involving Pareto-like intensity-duration marginals. Geophysical Research Letters, 31, L04502, doi:10.1029/2003GL018767.

Salvadori G, De Michele C (2004) Frequency analysis via copulas: theoretical aspects and applications to hydrological events. Water Resources Research, 40:W12511, doi:10.1029/2004wr003133.

Salvadori, G. (2004), Bivariate return periods via 2-copulas, Statistical Methodology, 1, 129–144.

Sancetta, A., Satchell, S. (2004) The Bernstein copula and its applications to modeling and approximations of multivariate distributions. Econometric Theory 20, 535-562.

Wist, H. T., D. Myrhaug, and H. Rue (2004), Statistical properties of successive wave heights and successive wave periods, Applied Ocean Research, 26 (3-4), 114–136.


2005

de Waal DJ, van Gelder PHAJM (2005),  Modelling of extreme wave heights and periods through copulas.  Extremes, 8, 345–356.

Fermanian, J. D. (2005), Goodness-of-fit tests for copulas, Journal of Multivariate Analysis, 95 (1), 119–152.

Frahm, G., M. Junker, and R. Schmidt (2005), Estimating the tail-dependence coefficient: properties and pitfalls, Insurance Mathematics & Economics, 37 (1), 80–100.

Genest, C., and B. Rémillard (2005), Validity of the parametric bootstrap for goodness-of-fit testing in semiparametrica1 models, Tech. rep., Groupe d’études et de Recherche en Analyse des Décisions.

Trivedi, P.K., Zimmer, D.M. (2005) Copula Modeling: An Introduction for Practitioners. Foundations and Trends in Econometrics 1, 1-111.

Vrac, M., A. Chedin, and E. Diday (2005), Clustering a global field of atmospheric profiles by mixture decomposition of copulas, Journal of Atmospheric and Oceanic Technology, 22 (10), 1445–1459.


2006

Bárdossy A (2006) Copula-based geostatistical models for groundwater quality parameters. Water Resources Research, 42, W11416, doi:10.1029/2005WR004754.

Genest, C., J. F. Quessy, and B. Remillard (2006), Goodness-of-fit procedures for copula models based on the probability integral transformation, Scandinavian Journal of Statistics, 33 (2), 337–366.

Grimaldi S, Serinaldi F (2006) Design hyetographs analysis with 3-copula function. Hydrological Sciences Journal, 51(2), 223−238.

Grimaldi S, Serinaldi F (2006) Asymmetric copula in multivariate flood frequency analysis. Advances in Water Resources, 29(8), 1115–1167.

Huard, D., G. Evin, and A. C. Favre (2006), Bayesian copula selection, Computational Statistics and Data Analysis, 51 (2), 809–822.

Kolev, N., U. dos Anjos, and B. V. D. Mendes (2006), Copulas: A review and recent developments, Stochastic Models, 22 (4), 617–660.

Renard B, Lang M (2006) Use of a Gaussian copula for multivariate extreme value analysis. Advances in Water Resources, doi:10.1016/j.advwatres.2006.08.001.

Salvadori G, De Michele C (2006) Statistical characterization of temporal structure of storms. Advances in Water Resources, 29(6), 827–842.

Shiau JT (2006) Fitting drought duration and severity with two-dimensional copulas. Water Resources Management, 20, 795–815, 2006.

Shiau, J. T., H. Y. Wang, and C. T. Tsai (2006), Bivariate frequency analysis of floods using copulas, Journal of American Water Resources Association, 42 (6), 1549–1564.

Zhang L, Singh VP (2006) Bivariate flood frequency analysis using the copula method. Journal of Hydrologic Engineering 11(2), 150–164.


2007

Chebana, F., and T.B.M.J., Ouarda (2007). “Multivariate L-moment homogeneity test”, Water Resources Research. 43, W08406, doi:10.1029/2006WR005639, 1-14.

de Waal DJ, van Gelder PHAJM, Nel A (2007) Estimating joint tail probabilities of river discharges through the logistic copula, Environmetrics, 18, 621–631.

De Michele, C., G. Salvadori, G. Passoni, and R. Vezzoli (2007), A multivariate model of sea storms using copulas, Coastal Engineering, 54 (10), 734–751.

Dupuis DJ (2007) Using copulas in hydrology: Benefits, cautions, and issues. Journal of Hydrologic Engineering, 12(4): 381–393.

Gao, H., E. Wood, M. Drusch, and M. McCabe (2007), Copula-derived observation operators for assimilating TMI and AMSR-E retrieved soil moisture into land surface models, Journal of Hydrometeorology, 8 (3), 413–429.

Gebremichael M, Krajewski WF (2007) An application of copulas to modeling temporal sampling errors in satellite-derived rainfall estimates.  Journal of Hydrologic Engineering, 12(4), 404-408.

Genest C, Favre A-C. (2007) Everything you always wanted to know about copula modeling but were afraid to ask. Journal of Hydrologic Engineering, 12(4), 347 - 368.

Genest C, Favre A-C, Béliveau J, Jacques C (2007) Metaelliptical copulas and their use in frequency analysis of multivariate hydrological data. Water Resources Research, 43: W09401, doi:10.1029/2006WR005275.

Kao S-C, Govindaraju RS (2007) A bivariate frequency analysis of extreme rainfall with implications for design. Journal of Geophysical Research, 112, D13119, doi:10.1029/2007JD008522.

Kao S-C, Govindaraju RS (2007) Probabilistic structure of storm surface runoff considering the dependence between average intensity and storm duration of rainfall events. Water Resources Research, 43, W06410, doi:10.1029/2006WR005564.

Kim, G., M. J. Silvapulle, and P. Silvapulle (2007), Comparison of semiparametric and parametric methods for estimating copulas, Computational Statistics & Data Analysis, 51 (6), 2836–2850.

Kuhn G, Khan S, Ganguly AR, Branstetter ML (2007) Geospatial–temporal dependence among weekly precipitation extremes with applications to observations and climate model simulations in South America. Advances in Water Resources, 30, 2401–2423.

Matús, R. (2007), The modelling of hydrological joint events using aggregation operators, Ph.D. thesis, Slovak University of Technology Bratislava, Faculty of Civil Engineering, Bratislava, Slovakia.

Qin Z, Sun G, Yan T, Song H, Zhang J (2007), Application of multivariate probability analysis using copulas to ocean engineering. Marine Forecasts (in Chinese), 24(2), 83-90.

Poulin A, Huard D, Favre A-C, Pugin S (2007) Importance of tail dependence in bivariate frequency analysis. Journal of Hydrologic Engineering, 12(4), 394–403.

E. Porcu, J. Mateu (2007) “Mixture-based modeling for space-time data Environmetrics” Volume 18, Issue 3, May 2007,  285-302

Renard, B., and M. Lang (2007), Use of a Gaussian copula for multivariate extreme value analysis: some case studies in hydrology, Advances In Water Resources, 30 (4), 897–912.

Salvadori G, De Michele C (2007) On the Use of Copulas in Hydrology: Theory and Practice. Journal of Hydrologic Engineering, 12(4), 369–380.

Salvadori G, De Michele C., Kottegoda NT, Rosso R (2007) Extremes in nature: An approach using copulas. Springer, 2007.

Shiau JT, Feng S, Nadarajah S (2007) Assessment of hydrological droughts for the Yellow River, China, using copulas. Hydrological Processes, 21(16), 2157–2163.

Serinaldi, F. (2007), Analysis of inter-gauge dependence by Kendall’s tau, upper tail dependence coefficient, and 2-copulas with application to rainfall fields, Stochastic Environmental Research and Risk Assessment, doi:10.2007/s00477-007-0176-4.2

Serinaldi, F., and S. Grimaldi (2007), Fully nested 3-copula: procedure and application on hydrological data, Journal of Hydrologic Engineering, 12 (4), 420–430.

Singh VP, Zhang L (2007) IDF curves using the Frank Archimedean copula. Journal of Hydrologic Engineering, doi: 10.1061/(ASCE)1084-0699(2007)12:6(651).

Yan, J. (2007), Enjoy the joy of copulas: with a package copula, Journal of Statistical Software, 21 (4).

Yan B, Guo S, Xiao Y (2007). Synchronous-asynchronous encounter probability of rich-poor precipitation between water source area and water receiving areas in the Middle Route of South-to-North Water Transfer Project. Journal of China Hydraulic Engineering (in Chinese), 38(10), 1178-1185.

Yan B, Guo S, Xiao Y, Fang B (2007), Analysis on Drought Characteristics Based on Bivariate Joint Distribution. Arid Zone Research (in Chinese), 24(4), 537-542.

Xiao Y, Guo S, Xiong L, Liu P, Fang B (2007), A new random simulation method for constructing synthetic flood hydrographs. Journal of Sichuan University: Engineering Science Edition (in Chinese), 39(2), 55-60.

Xiao Y, Guo S, Liu P, Fang B (2007), Derivation of design flood hydrograph based on Copula function. Journal of Wuhan University (in Chinese), 40(4), 13-17

Zhang L, Singh VP (2007) Gumbel-Hougaard copula for trivariate rainfall frequency analysis. Journal of Hydrologic Engineering, 12(4), 409-419.

Zhang L, Singh VP (2007) Trivariate flood frequency analysis using the Gumbel-Hougaard copula. Journal of Hydrologic Engineering, 12(4), 431-439.   

Zhang L, Singh VP (2007) Bivariate rainfall frequency distributions using Archimedean copulas. Journal of Hydrology, 332, 93-109 doi:10.1016/j.jhydrol.2006.06.033.

2008

El Adlouni, S. and T. B.M.J. Ouarda (2008). Étude de la loi conjointe Débit-Niveau par les copules: Cas de la rivière Châteauguay. Canadian Journal of Civil Engineering, 35: 1128-1137, DOI : 10.1139/L08-054.

Bárdossy A, Li J (2008) Geostatistical interpolation using copulas.  Water Resources Research 2008; doi:10.1029/2007WR006115.

L. Bel, J. N. Bacro, Ch. Lantuéjoul (2008) “Assessing extremal dependence of environmental spatial fields Environmetrics” Volume 19, Issue 2, Date: March 2008, Pages: 163-182

Evin G, Favre A-C (2008) A new rainfall model based on the Neyman-Scott process using cubic copulas. Water Resources Research, 44: W03433, doi:10.1029/2007WR006054.

Fang B, Guo S, Xiao Y, Liu P, Wu J (2008), Annual maximum flood occurrence dates and magnitudes frequency analysis based on bivariate joint distribution. Advances in Water Science (in Chinese), 19(4), 505-511.

Feng P, Wang Z, Tian W (2008), Hydrological risk assessment of long-distance water transfer system based on the two-dimensional Gumbel distribution. Journal of Catastrophology (in Chinese), 23(1), 23-26.

Gargouri-Ellouze, E. & Chebchoub, A. (2008) Modélisation de la structure de dépendance hauteur–durée d’événements pluvieux par la copule de Gumbel. Hydrol. Sci. J. 53(4) 802-817. 

Guillotte, S.  and Perron, F., (2008) “A Bayesian estimator for the dependence function of a bivariate extreme-value distribution 
Un estimateur bayésien de la function de dépendance d'une loi des valeurs extrêemes bivariée” The Canadian Journal of Statistics/La revue canadienne de statistique, Volume 36, Number 3, September, pp. 383-396(14), Statistical Society of Canada/Societe statistique du Canada

Guo S, Yan B, Xiao Y, Fang B, Zhang N (2008). Application of Copula functions in multivariate hydrological analysis and estimation. Journal of Chinese Hydrology, 28(3), 1-7.

U. Haberlandt, A.-D. Ebner von Eschenbach, and I. Buchwald (2008) “A space-time hybrid hourly rainfall model for derived flood frequency analysis” Hydrol. Earth Syst. Sci., 12, 1353-1367, 2008

Kallenberg, W. C.M. (2008)  Modelling dependence. Insurance: Mathematics and Economics 42, 127–146.

Kao S-C, Govindaraju RS (2008) Trivariate statistical analysis of extreme rainfall events via the Plackett family of copulas. Water Resources Research, 44, W02415, doi:10.1029/2007WR006261.

Klein, B., Schumann, A., Pahlow, M. (2008) Application of multivariate statistical methods in flood protection planning for river basins: The river unstrut case study [Hochwasserschutzplanung in Flussgebieten unter Verwendung der Multivariaten Statistik am Beispiel der Unstrut] Wasser Wirtschaft, 98 (11), pp. 29-34.

Lennartsson, J., A. Baxevani, and D. Chen (2008), Modelling precipitation in Sweden using multiple step markov chains and a composite model, Journal of Hydrology, 363 (1-4), 42–59, doi:10.1016/j.jhydrol.2008.10.003

Leonard M., Metcalfe A., Lambert M. (2008) “Frequency analysis of rainfall and streamflow extremes accounting for seasonal and climatic partitions” Journal of Hydrology, Volume 348, Issues 1-2, 1 January 2008, Pages 135-147

Li, Y.-H., Shi, B.-P., Zhang, J. (2008) Copula joint function and its application in probability seismic hazard analysis (2008) Acta Seismologica Sinica English Edition, 21 (3), pp. 296-305.

Maity R, Kumar DN (2008) Probabilistic prediction of hydroclimatic variables with nonparametric quantification of uncertainty. Journal of Geophysical Research, 113, D14105, doi:10.1029/2008JD009856.

Mercier, G., Moser, G., Serpico, S.B. (2008)  Conditional copulas for change detection in heterogeneous remote sensing images IEEE Transactions on Geoscience and Remote Sensing, 46 (5), pp. 1428-1441.

Miina, J., Heinonen, J. (2008) Stochastic simulation of forest regeneration establishment using a multilevel multivariate model Forest Science, 54 (2), pp. 206-219.

G. Moser, and S. B. Serpico (2008), Conditional copulas for change detection in heterogeneous remote sensing images, IEEE Transactions on Geoscience and Remote Sensing, 46 (5), 1428–1441, doi:10.1109/TGRS.2008.916476.

Nikoloulopoulos AK, Karlis D (2008) Fitting copulas to bivariate earthquake data: The seismic gap hypothesis revisited.  Environmetrics, 19, 251–269.

Norris, P. M., L. Oreopoulos, A. Y. Hou, W.-K. Tao, and X. Zeng, (2008) “Representation of 3D heterogeneous cloud fields using copulas: Theory for water clouds” QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY 134: 1843–1864 (2008)

Pan, M., E. F. Wood, R. Wojcik, and M. F. McCabe (2008), Estimation of regional terrestrial water cycle using multi-sensor remote sensing observations and data assimilation, Remote Sensing of Environment, 112 (4), 1282–1294, doi: 10.1016/j.rse.2007.02.039

Serinaldi F (2008a) Analysis of inter-gauge dependence by Kendall’s τK, upper tail dependence coefficient, and 2-copulas with application to rainfall fields.  Stochastic Environmental Research and Risk Assessment, doi:10.1007/s00477-007-0176-4.

Serinaldi F (2008b).  Copula-based mixed models for bivariate rainfall data: An empirical study in regression perspective. Stochastic Environmental Research and Risk Assessment, 10.1007/s00477-008-0249-z.

Sun, T. (2008), Modeling of multivariate rainfall data with autocorrelated discrete-continuous mixture margins using copulas, Ph.D. thesis, York University, Toronto, Toronto, Ontario.

Villarini G, Serinaldi F, Krajewski WF (2008) Modeling radar-rainfall estimation uncertainties using parametric and non-parametric approaches. Advances in Water Resources, 31(12), 1674–1686.

Xiao Y, Guo S, Liu P, Xiong L, Fang B (2008). Seasonal flood frequency analysis and flood prevention standard. Advances in Water Science (in Chinese), 19(1), 54-60.

Xiao, Y., Guo, S., Liu, P., Fang, B. (2008)  A new design flood hydrograph method based on bivariate joint distribution IAHS-AISH Publication, (319), pp. 75-82.

Xie, H., Huang, J.-S. Review of bivariate hydrological frequency distribution (2008) Shuikexue Jinzhan/Advances in Water Science, 19 (3), pp. 443-452.

Xu Y, Li J, Cao F, Ran Q (2008), Applications of Copula in hydrological extreme analysis. Journal of Zhejiang University (Engineering Science) (in Chinese), 42(7), 1119-1122.

Wang, M.; Rennolls, K.; Tang, S. (2008) “Bivariate Distribution Modeling of Tree Diameters and Heights: Dependency Modeling Using Copulas” Forest Science, Volume 54, Number 3, June 2008 , pp. 284-293(10)

Zhang N, Guo S, Yan B, Liu P (2008), Seasonal Design Flood Based on Copula Function. Journal of China Hydrology (in Chinese), 28(5), 28-32.

Zhang N, Guo S, Liu P, Yan B, Wan M (2008), Seasonal design floods and flood fontrol water levels based on Copula. Journal of Wuhan University (in Chinese), 41(6), 33-36.

Zhang T, Zhao C, Luo W (2008), Random simulation of flood hydrographs based on Copula function. Journal of Wuhan University (in Chinese), 41(4), 1-4.

2009

Bárdossy, A., Pegram, G.G.S. Copula based multisite model for daily precipitation simulation  (2009) Hydrology and Earth System Sciences 13 (12), pp. 2299-2314

F.Chebana, T. B. M. J. Ouarda, P. Bruneau, M. Barbet, S. El Adlouni, M. Latraverse (2009) “Multivariate homogeneity testing in a northern case study in the province of Quebec, Canada” Hydrological Processes 23 (12),(p 1690-1700) DOI: 10.1002/hyp.7304

Chebana, F., and T. B. M. J. Ouarda (2009), Index flood-based multivariate regional frequency analysis, Water Resources Research, 45, doi:10.1029/2008WR007490.

Chen, J., Zhang, X.-C., Liu, W.-Z., Li, Z. (2009) Evaluating and extending cligen precipitation generation for the Loess Plateau of China Journal of the American Water Resources Association, 45 (2), pp. 378-396.

Cheng Wang, Ni-Bin Chang, Gour-Tsyh Yeh (2009) “Copula-based flood frequency (COFF) analysis at the confluences of river systems” Hydrological Processes, E23 (10), 1471-1486, doi:{10.1002/hyp.7273}

Chowdhary, H. (2009) Discussion of "IDF curves using the Frank Archimedean copula" by Vijay P. Singh and Lan Zhang Journal of Hydrologic Engineering, 14 (1), pp. 107-108.

Chowdhary, H., Singh, V.P. (2009) Copula approach for reducing uncertainty in design flood estimates in insufficient data situations Proceedings of World Environmental and Water Resources Congress 2009 - World Environmental and Water Resources Congress 2009: Great Rivers 342, pp. 4758-4771

Denault, M., Dupuis, D., Couture-Cardinal, S. Complementarity of hydro and wind power: Improving the risk profile of energy inflows  (2009) Energy Policy 37 (12), pp. 5376-5384

Gargouri-Ellouze, E., and Z. Bargaoui (2009), Investigation with Kendall plots of infiltration index-maximum rainfall intensity relationship for regionalization, Physics and Chemistry of the Earth, 34 (10-12), 642–653, doi:10.1016/j.pce.2009.02.001,

Gartsman, B., R. van Nooyen, and A. Kolechkina (2009), Implementation issues for total risk calculation for groups of sites, Physics and Chemistry of the Earth, 34 (10-12), 619–625, doi:10.1016/j.pce.2008.12.001,

Kao, S.-C., Govindaraju, R.S., Niyogi, D. (2009) A spatio-temporal drought analysis for the midwestern US  Proceedings of World Environmental and Water Resources Congress 2009 - World Environmental and Water Resources Congress 2009: Great Rivers 342, pp. 4654-4663

Karamouz, M., A. Ahmadi, and A. Moridi (2009), Probabilistic reservoir operation using bayesian stochastic model and support vector machine, Advances in Water Resources, 32 (11), 1588 – 1600, doi:10.1016/j.advwatres.2009.08.003.

Karmakar, S., Simonovic, S.P. (2009) “Bivariate flood frequency analysis. Part 2: a copula-based approach with mixed marginal distributions” Journal of Flood Risk Management, Volume 2, Number 1, March 2009 , pp. 32-44(13)

Keef C., Svensson C.,  Tawn J. A. (2009) “Spatial dependence in extreme river flows and precipitation for Great Britain” Journal of Hydrology, vol. 378, Pages 240-252

He, X.  and P. Gong,  (2009) “Measuring the coupled risks: A copula-based CVaR model”.  Journal of Computational and Applied Mathematics 223, 1066–1080.

Li, S.-P., Feng, J.-F., Wang, H.-L. (2009) “Regime shifts of the marine ecosystem with copula”  Tianjin Daxue Xuebao (Ziran Kexue yu Gongcheng Jishu Ban)/Journal of Tianjin University Science and Technology 42 (6), pp. 533-538

Liu, Z.-M., Chen, Z.-S. (2009) Risk study of the bivariate encounter of interzone rainstorm and flood level of the outer river Shuikexue Jinzhan/Advances in Water Science 20 (5), pp. 619-625

Omar S. Muhaisen;  Francisco Osorio; Pedro A. García (2009) Two-copula based simulation for detention basin design Civil Engineering and Environmental Systems, 1029-0249, Volume 26, Issue 4, First published 2009, Pages 355 – 366

Osorio F. Muhaisen O.,and García P.A. (2009) Copula-Based Simulation for the Estimation of Optimal Volume for a Detention Basin J. Hydrologic Engrg. Volume 14, Issue 12, pp. 1378-1382

Mesfioui M., J.-F. Quessy, M.-H. Toupin (2009) "On a new goodness-of-fit process for families of copulas" Canadian Journal of Statistics,Volume 37 Issue 1, Pages 80 - 101

Naveau, P., A. Guillou, D. Cooley, and J. Diebolt (2009), Modelling pairwise dependence of maxima in space, Biometrika, 96 (1), 1-17, doi:{10.1093/biomet/asp001}.

Nijssen, D., A. Schumann, M. Pahlow, and B. Klein (2009), Planning of technical flood retention measures in large river basins under consideration of imprecise probabilities of multivariate hydrological loads, Natural Hazards and Earth System Sciences, 9 (4), 1349–1363.

Yan B, Guo S, Guo J, Zhang N (2009), Comparative study of multivariate hydrological frequency analysis methods. Journal of Wuhan University (in Chinese), 42(1).

P. Laux, S. Wagner, A. Wagner, J. Jacobeit, A. Bárdossy, H. Kunstmann (2009) “Modelling daily precipitation features in the Volta Basin of West Africa” International Journal of Climatology” 29 (7, Sp.Iss. SI), 937-954, doi:{10.1002/joc.1852}

*Piantadosi, J., J. Boland, and P. Howlett (2009), Generating Synthetic Rainfall on Various Timescales-Daily, Monthly and Yearly, Environmental Modeling & Assessment, 14 (4), 431–438, doi:10.1007/s10666-008-9157-3, 17th

Pinya, M.A.S., Madsen, H., Rosbjerg, D. (2009) Assessment of the risk of inland flooding in a tidal sluice regulated catchment using multi-variate statistical techniques Physics and Chemistry of the Earth, 34 (10-12), pp. 662-669 doi: 10.1016/j.pce.2009.03.001

Serinaldi, F. (2009), A multisite daily rainfall generator driven by bivariate copula-based mixed distributions, Journal of Geophysical Research - Atmospheres, 114, doi:{10.1029/2008JD011258}.

Serinaldi, F. (2009), Copula-based mixed models for bivariate rainfall data: an empirical study in regression perspective, Stochastic Environmental Research and Risk Assessment, 23 (5), 677–693, doi:10.1007/s00477-008-0249-z.

Serinaldi, F., B. Bonaccorso, A. Cancelliere, and S. Grimaldi (2009), Probabilistic characterization of drought properties through copulas, Physics and Chemistry of the Earth, 34 (10-12), 596–605, doi:10.1016/j.pce.2008.09.004,

Singh, V.P., Zhang, L. (2009) Closure to "IDF curves using the Frank Archimedean copula" by Vijay P. Singh and Lan Zhang Journal of Hydrologic Engineering, 14 (1), p. 108.

Shiau J.T. and Modarres R. (2009) Copula-based drought severity-duration-frequency analysis in Iran Meteorological Applications  16: 481–489

Vandenberghe, S., N. E. C. Verhoest, and B. De Baets (2009), Fitting bivariate copulas to the dependence structure between storm characteristics: a detailed analysis based on 105 year 10-minute rainfall, Water Resources Research, in press, doi: 10.1029/2009WR007857.

Xu, Y.-P., Tong, Y.-B., Fu, Q., Zhu, R.(2009) “Impact analysis for rainfall depthsimulation of different durations through several Copulas”  Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science) 43 (6), pp. 1107-1111

Wagner, A., A. Bardossy, S. Wagner, P. Laux, J. Jacobeit, and H. Kunstmann (2009), Modelling daily precipitation features in the Volta Basin of West Africa, International Journal of Climatology, 29 (7), 937–54.

2010

AghaKouchak, A., A. Bárdossy, and E. Habib (2010), Conditional simulation of remotely sensed rainfall data using a non-gaussian v- transformed copula, Advances in Water Resources, 33 (6), 624 – 634, doi:DOI:10.1016/j.advwatres.2010.02.010.

*AghaKouchak, A., A. Bárdossy, and E. Habib (2010), Copula-based uncertainty modelling: application to multisensor precipitation estimates, Hydrological Processes, 24, 2111–2124, doi:10.1002/hyp.7632.

Durante, F., and G. Salvadori (2010), On the construction of multivariate extreme value models via copulas, Environmetrics, 21 (2), 143–161, doi:10.1002/env.988.

*Goda, K. (2010), Statistical modeling of joint probability distribution using copula: Application to peak and permanent displacement seismic demands, Structural Safety, 32 (2), 112–113.

Kao, S.-C., and R. S. Govindaraju (2010), A copula-based joint deficit index for droughts, JOURNAL OF HYDROLOGY, 380 (1-2), 121-134, doi:10.1016/j.jhydrol.2009.10.029.

Kazianka, H., and J. Pilz (2010), Copula-based geostatistical modeling of continuous and discrete data including covariates, Stochastic Environmental Research and Risk Assessment, 24 (5), 661–673, doi:10.1007/s00477-009-0353-8.

Klein B., M. Pahlow, Y. Hundecha, and A. Schumann (2010), Probability Analysis of Hydrological Loads for the Design of Flood Control Systems Using Copulas, J. Hydrologic Engineering, Volume 15, Issue 5, pp. 360-369

Samaniego, L., A. Bárdossy, and R. Kumar (2010), Streamflow prediction in ungauged catchments using copula-based dissimilarity measures, Water Resour. Res., 46, W02506, doi:10.1029/2008WR007695.

Sang, H., and A. E. Gelfand (2010), Continuous spatial process models for spatial extreme values, Journal of Agricultural Biological and Environmental Statistics, 15 (1), 49–65, doi:10.1007/s13253-009-0010-1.

Song, S., and V. P. Singh (2010), Meta-elliptical copulas for drought frequency analysis of periodic hydrologic data, STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 24 (3), 425-444, doi:10.1007/s00477-009-0331-1.

Song, S., and V. P. Singh (2010), Frequency analysis of droughts using the Plackett copula and parameter estimation by genetic algorithm, Stochastic Environmental Research and Risk Assessment, 24 (5), 783–805, doi:10.1007/s00477-010-0364-5.

Vandenberghe, S., N. E. C. Verhoest, and B. De Baets (2010), Fitting bivariate copulas to the dependence structure between storm characteristics: A detailed analysis based on 105 year 10 min rainfall, WATER RESOURCES RESEARCH, 46, W01512, doi:10.1029/2009WR007857.

*Vandenberghe, S., N. E. C. Verhoest, E. Buyse, and B. De Baets (2010), A stochastic design rainfall generator based on copulas and mass curves, Hydrol. Earth Syst. Sci. Discuss., 7, 3613–3648, doi:10.5194/hessd-7-3613-2010.

Wong, G., M. F. Lambert, M. Leonard, and A. V. Metcalfe (2010), Drought Analysis Using Trivariate Copulas Conditional on Climatic States, JOURNAL OF HYDROLOGIC ENGINEERING, 15 (2), 129-141, doi:10.1061/(ASCE)HE.1943-5584.0000169.

Xu, Y.-P., M. J. Booij, and Y.-B. Tong (2010), Uncertainty analysis in statistical modeling of extreme hydrological events, Stochastic Environmental Research and Risk Assessment, 24 (5), 567–578, doi:10.1007/s00477-009-0337-8.

in press

Chebana and T.B.M.J. Ouarda “Multivariate quantiles in hydrological frequency analysis” Environmetrics, in press.

*Ghosh, S. (2010), Modelling bivariate rainfall distribution and generating bivariate correlated rainfall data in neighbouring meteorological subdivisions using copula, Hydrological Processes, doi:10.1002/hyp.7785, in press.

*Mirakbari M., Ganji A., and Fallah S.R. (2010), “Regional Bivariate Frequency Analysis of Meteorological Droughts” Journal of Hydrologic Engineering, in press.

*Salvadori, G., and C. De Michele (2010), Multivariate multiparameter Extreme Value models and Return Periods: a copula approach, Water Resour. Res., doi:10.1029/2009WR009040, in press.

*Wang, X., M. Gebremichael, and J. Yan (2010), Weighted likelihood copula modeling of extreme rainfall events in Connecticut, Journal of Hydrology, in press.