131 citations as recorded by crossref.

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2. A method for preferential selection of dates in the Schaake shuffle approach to constructing spatiotemporal forecast fields of temperature and precipitation M. Scheuerer et al. 10.1002/2016WR020133
3. Statistical modelling of extreme storms using copulas: A comparison study F. Li et al. 10.1016/j.coastaleng.2018.09.007
4. Decentralized monitoring for large‐scale process using copula‐correlation analysis and Bayesian inference–based multiblock principal component analysis Y. Tian et al. 10.1002/cem.3158
5. Evaluation of gridded climate datasets over Canada using univariate and bivariate approaches: Implications for hydrological modelling H. Singh & M. Reza Najafi 10.1016/j.jhydrol.2020.124673
6. Joint distribution of multiplicative errors in radar and satellite QPEs and its use in estimating the conditional exceedance probability Y. Zhang et al. 10.1016/j.advwatres.2013.06.004
7. A review on statistical postprocessing methods for hydrometeorological ensemble forecasting W. Li et al. 10.1002/wat2.1246
8. Functional Enrichment of Utopian Distribution of Plant Life-Forms J. Furze et al. 10.4236/ajps.2013.412A1006
9. Dynamic Copula Processes A. Galli et al. 10.2139/ssrn.1616503
10. Mixture of D-vine copulas for modeling dependence D. Kim et al. 10.1016/j.csda.2013.02.018
11. Virtual Storage-Based Model for Estimation of Economic Benefits of Electric Vehicles in Renewable Portfolios J. Vasilj et al. 10.3390/en13092315
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13. Copula-based assimilation of radar and gauge information to derive bias corrected precipitation fields S. Vogl et al. 10.5194/hessd-9-937-2012
14. Joint statistical models for significant wave height and wave period in a changing climate E. Vanem 10.1016/j.marstruc.2016.06.001
15. Assessing the reliability, resilience and vulnerability of water supply system under multiple uncertain sources K. Ren et al. 10.1016/j.jclepro.2019.119806
16. Multisite and multivariable statistical downscaling using a Gaussian copula quantile regression model M. Ben Alaya et al. 10.1007/s00382-015-2908-3
17. Multivariate probabilistic forecasting using ensemble Bayesian model averaging and copulas A. Möller et al. 10.1002/qj.2009
18. Parametric models for distributions when interest is in extremes with an application to daily temperature M. Stein 10.1007/s10687-020-00378-z
19. Conditional simulation of remotely sensed rainfall data using a non-Gaussian v-transformed copula A. AghaKouchak et al. 10.1016/j.advwatres.2010.02.010
20. Assessing probabilistic wind load effects via a multivariate extreme wind speed model: A unified framework to consider directionality and uncertainty X. Zhang & X. Chen 10.1016/j.jweia.2015.09.002
21. Multivariate—Intervariable, Spatial, and Temporal—Bias Correction* M. Vrac & P. Friederichs 10.1175/JCLI-D-14-00059.1
22. Teleconnection between low flows and large-scale climate indices in Texas River basins G. Konapala et al. 10.1007/s00477-017-1460-6
23. Probabilistic Gaussian Copula Regression Model for Multisite and Multivariable Downscaling M. Ben Alaya et al. 10.1175/JCLI-D-13-00333.1
24. The spatial structure of European wind storms as characterized by bivariate extreme-value Copulas A. Bonazzi et al. 10.5194/nhess-12-1769-2012
25. Copula-based downscaling of spatial rainfall: a proof of concept M. van den Berg et al. 10.5194/hess-15-1445-2011
26. Modeling Correlations in Rail Line Construction Y. Moret & H. Einstein 10.1061/(ASCE)CO.1943-7862.0000507
27. Gaussian anamorphosis in the analysis step of the EnKF: a joint state-variable/observation approach J. Amezcua & P. Van Leeuwen 10.3402/tellusa.v66.23493
28. Mixture of D-Vine copulas for chemical process monitoring W. Zheng et al. 10.1016/j.chemolab.2017.08.002
29. Modeling and application of industrial process fault detection based on pruning vine copula J. Wan & S. Li 10.1016/j.chemolab.2018.11.005
30. Generating Nonnormal Multivariate Data Using Copulas: Applications to SEM P. Mair et al. 10.1080/00273171.2012.692629
31. Probabilistic assessment of regional climate change in Southwest Germany by ensemble dressing C. Schölzel & A. Hense 10.1007/s00382-010-0815-1
32. Assessing the hydrodynamic boundary conditions for risk analyses in coastal areas: a multivariate statistical approach based on Copula functions T. Wahl et al. 10.5194/nhess-12-495-2012
33. Compound Extremes in Hydroclimatology: A Review Z. Hao et al. 10.3390/w10060718
34. Vine copula models for predicting water flow discharge at King George Island, Antarctica M. Gómez et al. 10.1007/s00477-018-1599-9
35. Copula-based assimilation of radar and gauge information to derive bias-corrected precipitation fields S. Vogl et al. 10.5194/hess-16-2311-2012
36. Review of dependence modeling in hydrology and water resources Z. Hao & V. Singh 10.1177/0309133316632460
37. The joint return period analysis of natural disasters based on monitoring and statistical modeling of multidimensional hazard factors X. Liu et al. 10.1016/j.scitotenv.2015.08.093
38. Systemic Weather Risk and Crop Insurance: The Case of China O. Okhrin et al. 10.1111/j.1539-6975.2012.01476.x
39. Risk of Cascading Blackouts Given Correlated Component Outages L. Clarfeld et al. 10.1109/TNSE.2019.2910837
40. Compound summer temperature and precipitation extremes over central Europe K. Sedlmeier et al. 10.1007/s00704-017-2061-5
41. Copula-based uncertainty modelling: application to multisensor precipitation estimates A. AghaKouchak et al. 10.1002/hyp.7632
42. Monitoring Test for Stability of Dependence Structure in Multivariate Data Based on Copula J. Lee & B. Kim 10.3390/e18120457
43. Integration of modern statistical tools for the analysis of climate extremes into the web-GIS “CLIMATE” A. Ryazanova et al. 10.1088/1755-1315/96/1/012014
44. Software development to predict the level of paddy production using Gaussian Copula Marginal Regression G. Goldestan et al. 10.1088/1742-6596/1218/1/012047
45. Cross-Sectional Learning of Extremal Dependence Among Financial Assets X. Yan et al. 10.2139/ssrn.3396238
46. Multivariate density model comparison for multi-site flood-risk rainfall in the French Mediterranean area J. Carreau & C. Bouvier 10.1007/s00477-015-1166-6
47. Large scale climate oscillations and mesoscale surface meteorological variability in the Apalachicola-Chattahoochee-Flint River Basin K. Stevens & P. Ruscher 10.1016/j.jhydrol.2014.06.002
48. An Incremental Clustering-Based Fault Detection Algorithm for Class-Imbalanced Process Data . Jueun Kwak et al. 10.1109/TSM.2015.2445380
49. Windblown sand saltation: A statistical approach to fluid threshold shear velocity L. Raffaele et al. 10.1016/j.aeolia.2016.10.002
50. A new scheme for multivariate, multisite weather generator with inter-variable, inter-site dependence and inter-annual variability based on empirical copula approach X. Li & V. Babovic 10.1007/s00382-018-4249-5
51. Modelling of interdependence between rainfall and temperature using copula P. Pandey et al. 10.1007/s40808-018-0454-9
52. Residual-based copula parameter estimation O. Na & S. Kwon 10.5351/KJAS.2016.29.1.267
53. Holocene climate variability in the Levant from the Dead Sea pollen record T. Litt et al. 10.1016/j.quascirev.2012.06.012
54. How well do regional climate models simulate the spatial dependence of precipitation? An application of pair-copula constructions I. Hobaek Haff et al. 10.1002/2014JD022748
55. Idealized models of the joint probability distribution of wind speeds A. Monahan 10.5194/npg-25-335-2018
56. An Upper Limit to Youth Psychotherapy Benefit? A Meta-Analytic Copula Approach to Psychotherapy Outcomes P. Jones et al. 10.1177/2167702619858424
57. Is southwestern China experiencing more frequent precipitation extremes? M. Liu et al. 10.1088/1748-9326/9/6/064002
58. Speech signal modeling using multivariate distributions A. Aroudi et al. 10.1186/s13636-015-0078-1
59. Copula-based approximation of particle breakage as link between DEM and PBM A. Spettl et al. 10.1016/j.compchemeng.2017.01.023
60. Copula-based statistical refinement of precipitation in RCM simulations over complex terrain P. Laux et al. 10.5194/hessd-8-3001-2011
61. Vegetation and climate history in the Westeifel Volcanic Field (Germany) during the past 11 000 years based on annually laminated lacustrine maar sediments T. LITT et al. 10.1111/j.1502-3885.2009.00096.x
62. A strategy to effectively make use of large volumes of climate data for climate change adaptation R. Benestad et al. 10.1016/j.cliser.2017.06.013
63. Multivariate ensemble Model Output Statistics using empirical copulas D. Wilks 10.1002/qj.2414
64. Modeling and Estimation of Heterogeneous Spatiotemporal Attributes Under Conditions of Uncertainty H. Yu & G. Christakos 10.1109/TGRS.2010.2052624
65. Power outages and firm performance in Sub-Saharan Africa M. Cole et al. 10.1016/j.jdeveco.2018.05.003
66. A pathway for multivariate analysis of ecological communities using copulas M. Anderson et al. 10.1002/ece3.4948
67. Evaluation of the ability of regional climate models and a statistical model to represent the spatial characteristics of extreme precipitation L. Yang et al. 10.1002/joc.6602
68. Seasonal copula models for the analysis of glacier discharge at King George Island, Antarctica M. Gómez et al. 10.1007/s00477-016-1217-7
69. Probabilistic spatial prediction of categorical data using elliptical copulas X. Huang & Z. Wang 10.1007/s00477-017-1485-x
70. An Empirical, Nonparametric Simulator for Multivariate Random Variables with Differing Marginal Densities and Nonlinear Dependence with Hydroclimatic Applications U. Lall et al. 10.1111/risa.12432
71. Generation of Spatially Heterogeneous Flood Events in an Alpine Region—Adaptation and Application of a Multivariate Modelling Procedure K. Schneeberger & T. Steinberger 10.3390/hydrology5010005
72. Probabilistic modelling of extreme storms along the Dutch coast F. Li et al. 10.1016/j.coastaleng.2013.12.009
73. AnaWEGE: a weather generator based on analogues of atmospheric circulation P. Yiou 10.5194/gmd-7-531-2014
74. Projecting changes in regional temperature and precipitation extremes in the United States J. Schoof & S. Robeson 10.1016/j.wace.2015.09.004
75. Understanding the joint behavior of temperature and precipitation for climate change impact studies A. Rana et al. 10.1007/s00704-016-1774-1
76. Review of probabilistic pollen-climate transfer methods C. Ohlwein & E. Wahl 10.1016/j.quascirev.2011.11.002
77. Bayesian flood forecasting methods: A review S. Han & P. Coulibaly 10.1016/j.jhydrol.2017.06.004
78. Multivariate bias adjustment of high-dimensional climate simulations: the Rank Resampling for Distributions and Dependences (R<sup>2</sup>D<sup>2</sup>) bias correction M. Vrac 10.5194/hess-22-3175-2018
79. Joint probability risk modelling of storm surge and cyclone wind along the coast of Bay of Bengal using a statistical copula N. Bushra et al. 10.1002/joc.6068
80. The use of copula functions for predictive analysis of correlations between extreme storm tides K. Domino et al. 10.1016/j.physa.2014.07.020
81. Bivariate return periods of temperature and precipitation explain a large fraction of European crop yields J. Zscheischler et al. 10.5194/bg-14-3309-2017
82. Characterization of Precipitation through Copulas and Expert Judgement for Risk Assessment of Infrastructure O. Morales-Nápoles et al. 10.1061/AJRUA6.0000914
83. An Examination of Tail Dependence in Bordeaux Futures Prices and Parker Ratings D. Cyr et al. 10.1017/jwe.2017.18
84. Data assimilation in the geosciences: An overview of methods, issues, and perspectives A. Carrassi et al. 10.1002/wcc.535
85. Joint probability-based classifier based on vine copula method for land use classification of multispectral remote sensing data Y. Zhang et al. 10.1007/s12145-020-00487-0
86. Evaluating the effects of climate extremes on crop yield, production and price using multivariate distributions: A new copula application F. Alidoost et al. 10.1016/j.wace.2019.100227
87. Online tuning of ocean biogeochemical model parameters using ensemble estimation techniques: Application to a one-dimensional model in the North Atlantic M. Gharamti et al. 10.1016/j.jmarsys.2016.12.003
88. Minimum temperature mapping with spatial copula interpolation P. Bostan et al. 10.1016/j.spasta.2020.100464
89. Stochastic Response Assessment of Cross-Sea Bridges under Correlated Wind and Waves via Machine Learning C. Fang et al. 10.1061/(ASCE)BE.1943-5592.0001554
90. Measured and modeled spatial rain rate correlation to improve the prediction method for satellite site diversity T. Tjelta et al. 10.1002/2014RS005476
91. Managing soil natural capital: An effective strategy for mitigating future agricultural risks? R. Cong et al. 10.1016/j.agsy.2014.05.003
92. Joint distribution of temperature and precipitation in the Mediterranean, using the Copula method G. Lazoglou & C. Anagnostopoulou 10.1007/s00704-018-2447-z
93. Copula-based stochastic uncertainty analysis of satellite precipitation products E. Sharifi et al. 10.1016/j.jhydrol.2019.01.035
94. A Similarity-Based Implementation of the Schaake Shuffle R. Schefzik 10.1175/MWR-D-15-0227.1
95. Multivariate anomaly detection for Earth observations: a comparison of algorithms and feature extraction techniques M. Flach et al. 10.5194/esd-8-677-2017
96. Design Flood Volume of the Three Gorges Dam Project D. Liu et al. 10.1061/(ASCE)HE.1943-5584.0000287
97. Integrating Entropy and Copula Theories for Hydrologic Modeling and Analysis Z. Hao & V. Singh 10.3390/e17042253
98. Copula statistical models for analyzing stochastic dependencies of systemic drought risk and potential adaptation strategies T. Nguyen-Huy et al. 10.1007/s00477-019-01662-6
99. Making the Output of Seasonal Climate Models More Palatable to Agriculture: A Copula-Based Postprocessing Method M. Li et al. 10.1175/JAMC-D-19-0093.1
100. Bayesian sequential design for Copula models S. Senarathne et al. 10.1007/s11749-019-00661-7
101. Assessing Hydrologic Uncertainty Processor Performance for Flood Forecasting in a Semiurban Watershed S. Han et al. 10.1061/(ASCE)HE.1943-5584.0001828
102. Characterizing the temperature and precipitation covariability over Canada H. Singh et al. 10.1007/s00704-019-03062-w
103. Compound extremes in a changing climate – a Markov chain approach K. Sedlmeier et al. 10.5194/npg-23-375-2016
104. Generalised block bootstrap and its use in meteorology L. Varga & A. Zempléni 10.5194/ascmo-3-55-2017
105. The distribution of Kendall's tau for testing the significance of cross-correlation in persistent data K. Hamed 10.1080/02626667.2011.586948
106. Ensemble Model Output Statistics for Wind Vectors N. Schuhen et al. 10.1175/MWR-D-12-00028.1
107. Analysis of extreme precipitation characteristics in low mountain areas based on three-dimensional copulas—taking Kuandian County as an example C. Wang et al. 10.1007/s00704-015-1692-7
108. Introducing novel risk-based indicator for determining transmission line tower's backflashover performance P. Sarajcev et al. 10.1016/j.epsr.2018.03.006
109. Tolerance Analysis of a Deformable Component Using the Probabilistic Approach and Kriging-Based Surrogate Models P. Beaurepaire et al. 10.1061/AJRUA6.0000979
110. Joint Modeling of Precipitation and Temperature Using Copula Theory for Current and Future Prediction under Climate Change Scenarios in Arid Lands (Case Study, Kerman Province, Iran) T. Mesbahzadeh et al. 10.1155/2019/6848049
111. Multivariate statistical modelling of compound events via pair-copula constructions: analysis of floods in Ravenna (Italy) E. Bevacqua et al. 10.5194/hess-21-2701-2017
112. A physiographic approach to downscaling fractional snow cover data in mountainous regions R. Walters et al. 10.1016/j.rse.2014.07.001
113. Sparse conditional copula models for structured output regression M. Kim 10.1016/j.patcog.2016.03.027
114. A new method for wind speed forecasting based on copula theory Y. Wang et al. 10.1016/j.envres.2017.09.034
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118. Spatial extreme modeling using student t copula approach in Ngawi Regency M. Fauziyah et al. 10.1088/1742-6596/1538/1/012051
119. Selecting and estimating regular vine copulae and application to financial returns J. Dißmann et al. 10.1016/j.csda.2012.08.010
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121. Estimating future balancing power requirements in wind–PV power system J. Vasilj et al. 10.1016/j.renene.2016.06.063
122. Drought Occurring With Hot Extremes: Changes Under Future Climate Change on Loess Plateau, China C. Sun et al. 10.1029/2018EF001103
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124. Analysis of Reserves in Multiple Life Insurance using Copula I. Lee et al. 10.5351/CSAM.2014.21.1.023
125. Entropy–Copula in Hydrology and Climatology A. AghaKouchak 10.1175/JHM-D-13-0207.1
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129. The Interdependence between Rainfall and Temperature: Copula Analyses R. Cong & M. Brady 10.1100/2012/405675
130. Using Joint Probability Distribution of Reliability and Vulnerability to Develop a Water System Performance Index E. Goharian et al. 10.1061/(ASCE)WR.1943-5452.0000869
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