139 citations as recorded by crossref.

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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
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9. Functional Enrichment of Utopian Distribution of Plant Life-Forms J. Furze et al. 10.4236/ajps.2013.412A1006
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15. Joint statistical models for significant wave height and wave period in a changing climate E. Vanem 10.1016/j.marstruc.2016.06.001
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18. Multivariate probabilistic forecasting using ensemble Bayesian model averaging and copulas A. Möller et al. 10.1002/qj.2009
19. Parametric models for distributions when interest is in extremes with an application to daily temperature M. Stein 10.1007/s10687-020-00378-z
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21. 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
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23. Teleconnection between low flows and large-scale climate indices in Texas River basins G. Konapala et al. 10.1007/s00477-017-1460-6
24. Probabilistic Gaussian Copula Regression Model for Multisite and Multivariable Downscaling M. Ben Alaya et al. 10.1175/JCLI-D-13-00333.1
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27. Modeling Correlations in Rail Line Construction Y. Moret & H. Einstein 10.1061/(ASCE)CO.1943-7862.0000507
28. 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
29. Mixture of D-Vine copulas for chemical process monitoring W. Zheng et al. 10.1016/j.chemolab.2017.08.002
30. Modeling and application of industrial process fault detection based on pruning vine copula J. Wan & S. Li 10.1016/j.chemolab.2018.11.005
31. Generating Nonnormal Multivariate Data Using Copulas: Applications to SEM P. Mair et al. 10.1080/00273171.2012.692629
32. Probabilistic assessment of regional climate change in Southwest Germany by ensemble dressing C. Schölzel & A. Hense 10.1007/s00382-010-0815-1
33. 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
34. Compound Extremes in Hydroclimatology: A Review Z. Hao et al. 10.3390/w10060718
35. Vine copula models for predicting water flow discharge at King George Island, Antarctica M. Gómez et al. 10.1007/s00477-018-1599-9
36. Estimation of bivariate probability distributions of nanoparticle characteristics, based on univariate measurements O. Furat et al. 10.1080/17415977.2020.1849181
37. Copula-based assimilation of radar and gauge information to derive bias-corrected precipitation fields S. Vogl et al. 10.5194/hess-16-2311-2012
38. Review of dependence modeling in hydrology and water resources Z. Hao & V. Singh 10.1177/0309133316632460
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41. Risk of Cascading Blackouts Given Correlated Component Outages L. Clarfeld et al. 10.1109/TNSE.2019.2910837
42. Compound summer temperature and precipitation extremes over central Europe K. Sedlmeier et al. 10.1007/s00704-017-2061-5
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44. Detecting and modeling critical dependence structures between random inputs of computer models N. Benoumechiara et al. 10.1515/demo-2020-0016
45. Monitoring Test for Stability of Dependence Structure in Multivariate Data Based on Copula J. Lee & B. Kim 10.3390/e18120457
46. Strategic decision-support modeling for robust management of the food–energy–water nexus under uncertainty J. Gao et al. 10.1016/j.jclepro.2021.125995
47. 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
48. 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
49. Cross-Sectional Learning of Extremal Dependence Among Financial Assets X. Yan et al. 10.2139/ssrn.3396238
50. 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
51. 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
52. An Incremental Clustering-Based Fault Detection Algorithm for Class-Imbalanced Process Data . Jueun Kwak et al. 10.1109/TSM.2015.2445380
53. Windblown sand saltation: A statistical approach to fluid threshold shear velocity L. Raffaele et al. 10.1016/j.aeolia.2016.10.002
54. 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
55. Modelling of interdependence between rainfall and temperature using copula P. Pandey et al. 10.1007/s40808-018-0454-9
56. Residual-based copula parameter estimation O. Na & S. Kwon 10.5351/KJAS.2016.29.1.267
57. Holocene climate variability in the Levant from the Dead Sea pollen record T. Litt et al. 10.1016/j.quascirev.2012.06.012
58. 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
59. Idealized models of the joint probability distribution of wind speeds A. Monahan 10.5194/npg-25-335-2018
60. An Upper Limit to Youth Psychotherapy Benefit? A Meta-Analytic Copula Approach to Psychotherapy Outcomes P. Jones et al. 10.1177/2167702619858424
61. Is southwestern China experiencing more frequent precipitation extremes? M. Liu et al. 10.1088/1748-9326/9/6/064002
62. Speech signal modeling using multivariate distributions A. Aroudi et al. 10.1186/s13636-015-0078-1
63. Copula-based approximation of particle breakage as link between DEM and PBM A. Spettl et al. 10.1016/j.compchemeng.2017.01.023
64. 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
65. 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
66. Analysis of the Parametric Correlation in Mathematical Modeling of In Vitro Glioblastoma Evolution Using Copulas J. Ayensa-Jiménez et al. 10.3390/math9010027
67. Multivariate ensemble Model Output Statistics using empirical copulas D. Wilks 10.1002/qj.2414
68. Uncertainty Quantification in Complex Simulation Models Using Ensemble Copula Coupling R. Schefzik et al. 10.1214/13-STS443
69. Modeling and Estimation of Heterogeneous Spatiotemporal Attributes Under Conditions of Uncertainty H. Yu & G. Christakos 10.1109/TGRS.2010.2052624
70. Power outages and firm performance in Sub-Saharan Africa M. Cole et al. 10.1016/j.jdeveco.2018.05.003
71. A pathway for multivariate analysis of ecological communities using copulas M. Anderson et al. 10.1002/ece3.4948
72. 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
73. Seasonal copula models for the analysis of glacier discharge at King George Island, Antarctica M. Gómez et al. 10.1007/s00477-016-1217-7
74. Probabilistic spatial prediction of categorical data using elliptical copulas X. Huang & Z. Wang 10.1007/s00477-017-1485-x
75. 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
76. 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
77. Probabilistic modelling of extreme storms along the Dutch coast F. Li et al. 10.1016/j.coastaleng.2013.12.009
78. AnaWEGE: a weather generator based on analogues of atmospheric circulation P. Yiou 10.5194/gmd-7-531-2014
79. Projecting changes in regional temperature and precipitation extremes in the United States J. Schoof & S. Robeson 10.1016/j.wace.2015.09.004
80. Understanding the joint behavior of temperature and precipitation for climate change impact studies A. Rana et al. 10.1007/s00704-016-1774-1
81. Review of probabilistic pollen-climate transfer methods C. Ohlwein & E. Wahl 10.1016/j.quascirev.2011.11.002
82. Bayesian flood forecasting methods: A review S. Han & P. Coulibaly 10.1016/j.jhydrol.2017.06.004
83. 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
84. 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
85. 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
86. 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
87. Characterization of Precipitation through Copulas and Expert Judgement for Risk Assessment of Infrastructure O. Morales-Nápoles et al. 10.1061/AJRUA6.0000914
88. An Examination of Tail Dependence in Bordeaux Futures Prices and Parker Ratings D. Cyr et al. 10.1017/jwe.2017.18
89. Data assimilation in the geosciences: An overview of methods, issues, and perspectives A. Carrassi et al. 10.1002/wcc.535
90. 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
91. 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
92. 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
93. Minimum temperature mapping with spatial copula interpolation P. Bostan et al. 10.1016/j.spasta.2020.100464
94. 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
95. Measured and modeled spatial rain rate correlation to improve the prediction method for satellite site diversity T. Tjelta et al. 10.1002/2014RS005476
96. Managing soil natural capital: An effective strategy for mitigating future agricultural risks? R. Cong et al. 10.1016/j.agsy.2014.05.003
97. Joint distribution of temperature and precipitation in the Mediterranean, using the Copula method G. Lazoglou & C. Anagnostopoulou 10.1007/s00704-018-2447-z
98. Vulnerability of hop‐yields due to compound drought and heat events over European key‐hop regions V. Potopová et al. 10.1002/joc.6836
99. Accounting for correlational structures in stochastic comparative life cycle assessments through copula modeling R. Gil et al. 10.1007/s11367-020-01859-w
100. Copula-based stochastic uncertainty analysis of satellite precipitation products E. Sharifi et al. 10.1016/j.jhydrol.2019.01.035
101. A Similarity-Based Implementation of the Schaake Shuffle R. Schefzik 10.1175/MWR-D-15-0227.1
102. Multivariate anomaly detection for Earth observations: a comparison of algorithms and feature extraction techniques M. Flach et al. 10.5194/esd-8-677-2017
103. Design Flood Volume of the Three Gorges Dam Project D. Liu et al. 10.1061/(ASCE)HE.1943-5584.0000287
104. Integrating Entropy and Copula Theories for Hydrologic Modeling and Analysis Z. Hao & V. Singh 10.3390/e17042253
105. 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
106. 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
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108. Assessing Hydrologic Uncertainty Processor Performance for Flood Forecasting in a Semiurban Watershed S. Han et al. 10.1061/(ASCE)HE.1943-5584.0001828
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110. Approximate Bayesian Inference in Semiparametric Copula Models C. Grazian & B. Liseo 10.1214/17-BA1080
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112. Generalised block bootstrap and its use in meteorology L. Varga & A. Zempléni 10.5194/ascmo-3-55-2017
113. The distribution of Kendall's tau for testing the significance of cross-correlation in persistent data K. Hamed 10.1080/02626667.2011.586948
114. Ensemble Model Output Statistics for Wind Vectors N. Schuhen et al. 10.1175/MWR-D-12-00028.1
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116. Introducing novel risk-based indicator for determining transmission line tower's backflashover performance P. Sarajcev et al. 10.1016/j.epsr.2018.03.006
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123. 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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126. Spatial extreme modeling using student t copula approach in Ngawi Regency M. Fauziyah et al. 10.1088/1742-6596/1538/1/012051
127. Selecting and estimating regular vine copulae and application to financial returns J. Dißmann et al. 10.1016/j.csda.2012.08.010
128. Estimating future balancing power requirements in wind–PV power system J. Vasilj et al. 10.1016/j.renene.2016.06.063
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131. Application of the Gaussian anamorphosis to assimilation in a 3-D coupled physical-ecosystem model of the North Atlantic with the EnKF: a twin experiment E. Simon & L. Bertino 10.5194/os-5-495-2009
132. Analysis of Reserves in Multiple Life Insurance using Copula I. Lee et al. 10.5351/CSAM.2014.21.1.023
133. Entropy–Copula in Hydrology and Climatology A. AghaKouchak 10.1175/JHM-D-13-0207.1
134. Evaluation of Spatial Rainfall Products in Sparsely Gauged Region Using Copula Uncertainty Modeling with Triple Collocation A. Tanim et al. 10.1061/(ASCE)HE.1943-5584.0002071
135. Toward daily climate scenarios for Canadian Arctic coastal zones with more realistic temperature‐precipitation interdependence F. Gennaretti et al. 10.1002/2015JD023890
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138. 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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