181 citations as recorded by crossref.

1. A typology of compound weather and climate events J. Zscheischler et al. 10.1038/s43017-020-0060-z
2. 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
3. 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
4. A combined statistical bias correction and stochastic downscaling method for precipitation C. Volosciuk et al. 10.5194/hess-21-1693-2017
5. Extreme Months: Multidimensional Studies in the Carpathian Basin B. Izsák et al. 10.3390/atmos13111908
6. Copula-based statistical refinement of precipitation in RCM simulations over complex terrain P. Laux et al. 10.5194/hess-15-2401-2011
7. Assessing the reliability, resilience and vulnerability of water supply system under multiple uncertain sources K. Ren et al. 10.1016/j.jclepro.2019.119806
8. Multivariate—Intervariable, Spatial, and Temporal—Bias Correction* M. Vrac & P. Friederichs 10.1175/JCLI-D-14-00059.1
9. Teleconnection between low flows and large-scale climate indices in Texas River basins G. Konapala et al. 10.1007/s00477-017-1460-6
10. Copula-based downscaling of spatial rainfall: a proof of concept M. van den Berg et al. 10.5194/hess-15-1445-2011
11. Modeling Correlations in Rail Line Construction Y. Moret & H. Einstein 10.1061/(ASCE)CO.1943-7862.0000507
12. 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
13. Modeling and application of industrial process fault detection based on pruning vine copula J. Wan & S. Li 10.1016/j.chemolab.2018.11.005
14. 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
15. Compound Extremes in Hydroclimatology: A Review Z. Hao et al. 10.3390/w10060718
16. Estimation of bivariate probability distributions of nanoparticle characteristics, based on univariate measurements O. Furat et al. 10.1080/17415977.2020.1849181
17. 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
18. Systemic Weather Risk and Crop Insurance: The Case of China O. Okhrin et al. 10.1111/j.1539-6975.2012.01476.x
19. Risk of Cascading Blackouts Given Correlated Component Outages L. Clarfeld et al. 10.1109/TNSE.2019.2910837
20. Improving early-season wheat yield forecasts driven by probabilistic seasonal climate forecasts H. Jin et al. 10.1016/j.agrformet.2022.108832
21. Monitoring Test for Stability of Dependence Structure in Multivariate Data Based on Copula J. Lee & B. Kim 10.3390/e18120457
22. Interactive Visualization and Computation of 2D and 3D Probability Distributions M. Bobrovnikov et al. 10.1007/s42979-022-01206-w
23. 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
24. 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
25. 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
26. Cross-Sectional Learning of Extremal Dependence Among Financial Assets X. Yan et al. 10.2139/ssrn.3396238
27. 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
28. An Incremental Clustering-Based Fault Detection Algorithm for Class-Imbalanced Process Data . Jueun Kwak et al. 10.1109/TSM.2015.2445380
29. 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
30. A mutual information based R-vine copula strategy to estimate VaR in high frequency stock market data C. Sharma et al. 10.1371/journal.pone.0253307
31. Compound droughts and hot extremes: Characteristics, drivers, changes, and impacts Z. Hao et al. 10.1016/j.earscirev.2022.104241
32. Holocene climate variability in the Levant from the Dead Sea pollen record T. Litt et al. 10.1016/j.quascirev.2012.06.012
33. Idealized models of the joint probability distribution of wind speeds A. Monahan 10.5194/npg-25-335-2018
34. An Upper Limit to Youth Psychotherapy Benefit? A Meta-Analytic Copula Approach to Psychotherapy Outcomes P. Jones et al. 10.1177/2167702619858424
35. Is southwestern China experiencing more frequent precipitation extremes? M. Liu et al. 10.1088/1748-9326/9/6/064002
36. Quantifying the joint distribution of drought indicators in Borneo fire-prone area M. Najib et al. 10.1088/1755-1315/880/1/012002
37. Copula-based approximation of particle breakage as link between DEM and PBM A. Spettl et al. 10.1016/j.compchemeng.2017.01.023
38. 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
39. 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
40. Yet Another Discriminant Analysis (YADA): A Probabilistic Model for Machine Learning Applications R. Field et al. 10.3390/math12213392
41. Power outages and firm performance in Sub-Saharan Africa M. Cole et al. 10.1016/j.jdeveco.2018.05.003
42. A pathway for multivariate analysis of ecological communities using copulas M. Anderson et al. 10.1002/ece3.4948
43. 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
44. Seasonal copula models for the analysis of glacier discharge at King George Island, Antarctica M. Gómez et al. 10.1007/s00477-016-1217-7
45. Probabilistic spatial prediction of categorical data using elliptical copulas X. Huang & Z. Wang 10.1007/s00477-017-1485-x
46. AnaWEGE: a weather generator based on analogues of atmospheric circulation P. Yiou 10.5194/gmd-7-531-2014
47. Projecting changes in regional temperature and precipitation extremes in the United States J. Schoof & S. Robeson 10.1016/j.wace.2015.09.004
48. 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
49. 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
50. An Examination of Tail Dependence in Bordeaux Futures Prices and Parker Ratings D. Cyr et al. 10.1017/jwe.2017.18
51. 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
52. 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
53. Minimum temperature mapping with spatial copula interpolation P. Bostan et al. 10.1016/j.spasta.2020.100464
54. 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
55. Measured and modeled spatial rain rate correlation to improve the prediction method for satellite site diversity T. Tjelta et al. 10.1002/2014RS005476
56. Vulnerability of hop‐yields due to compound drought and heat events over European key‐hop regions V. Potopová et al. 10.1002/joc.6836
57. Copula-based stochastic uncertainty analysis of satellite precipitation products E. Sharifi et al. 10.1016/j.jhydrol.2019.01.035
58. Climate derivatives strategies as an alternative to set up guaranteed prices for agricultural producers in México S. Cruz-Aké et al. 10.1080/13504851.2021.1985061
59. A Similarity-Based Implementation of the Schaake Shuffle R. Schefzik 10.1175/MWR-D-15-0227.1
60. Design Flood Volume of the Three Gorges Dam Project D. Liu et al. 10.1061/(ASCE)HE.1943-5584.0000287
61. Bayesian sequential design for Copula models S. Senarathne et al. 10.1007/s11749-019-00661-7
62. Assessing Hydrologic Uncertainty Processor Performance for Flood Forecasting in a Semiurban Watershed S. Han et al. 10.1061/(ASCE)HE.1943-5584.0001828
63. Investigation of multivariate pairs trading under copula approach with mixture distribution F. He et al. 10.1016/j.amc.2024.128635
64. The distribution of Kendall's tau for testing the significance of cross-correlation in persistent data K. Hamed 10.1080/02626667.2011.586948
65. Ensemble Model Output Statistics for Wind Vectors N. Schuhen et al. 10.1175/MWR-D-12-00028.1
66. 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
67. Interdependence between temperature and precipitation: modeling using copula method toward climate protection B. Hussain et al. 10.1007/s40808-021-01256-8
68. 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
69. A physiographic approach to downscaling fractional snow cover data in mountainous regions R. Walters et al. 10.1016/j.rse.2014.07.001
70. A new method for wind speed forecasting based on copula theory Y. Wang et al. 10.1016/j.envres.2017.09.034
71. Climate change‐induced impacts on urban flood risk influenced by concurrent hazards A. Pedersen et al. 10.1111/j.1753-318X.2012.01139.x
72. Spatial extreme modeling using student t copula approach in Ngawi Regency M. Fauziyah et al. 10.1088/1742-6596/1538/1/012051
73. Developing an earthquake model based on simultaneous peak ground acceleration occurrences using the D-vine copula approach A. Ahdika et al. 10.1007/s40808-023-01846-8
74. Heterogeneous spatiotemporal copula‐based kriging for air pollution prediction J. Wang et al. 10.1111/tgis.12823
75. Selecting and estimating regular vine copulae and application to financial returns J. Dißmann et al. 10.1016/j.csda.2012.08.010
76. 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
77. Analysis of Reserves in Multiple Life Insurance using Copula I. Lee et al. 10.5351/CSAM.2014.21.1.023
78. Entropy–Copula in Hydrology and Climatology A. AghaKouchak 10.1175/JHM-D-13-0207.1
79. A new kind of sensitivity index for multivariate output L. Li et al. 10.1016/j.ress.2015.11.006
80. Impedance Response Influenced by Variability in the Random Distribution of Physical Properties of Coated Materials in Two-Dimensional Space S. Cho et al. 10.1149/1945-7111/acf1d0
81. Time of emergence of compound events: contribution of univariate and dependence properties B. François & M. Vrac 10.5194/nhess-23-21-2023
82. 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
83. Statistical modelling of extreme storms using copulas: A comparison study F. Li et al. 10.1016/j.coastaleng.2018.09.007
84. 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
85. Construction of combined drought index based on bivariate joint distribution Y. Li et al. 10.1016/j.aej.2021.01.006
86. Using Vine Copulas to Generate Representative System States for Machine Learning I. Konstantelos et al. 10.1109/TPWRS.2018.2859367
87. A review on statistical postprocessing methods for hydrometeorological ensemble forecasting W. Li et al. 10.1002/wat2.1246
88. Functional Enrichment of Utopian Distribution of Plant Life-Forms J. Furze et al. 10.4236/ajps.2013.412A1006
89. Impact of bias nonstationarity on the performance of uni- and multivariate bias-adjusting methods: a case study on data from Uccle, Belgium J. Van de Velde et al. 10.5194/hess-26-2319-2022
90. Dynamic Copula Processes A. Galli et al. 10.2139/ssrn.1616503
91. Mixture of D-vine copulas for modeling dependence D. Kim et al. 10.1016/j.csda.2013.02.018
92. Virtual Storage-Based Model for Estimation of Economic Benefits of Electric Vehicles in Renewable Portfolios J. Vasilj et al. 10.3390/en13092315
93. Evaluating the Dependence between Temperature and Precipitation to Better Estimate the Risks of Concurrent Extreme Weather Events H. Wazneh et al. 10.1155/2020/8763631
94. Joint statistical models for significant wave height and wave period in a changing climate E. Vanem 10.1016/j.marstruc.2016.06.001
95. Multisite and multivariable statistical downscaling using a Gaussian copula quantile regression model M. Ben Alaya et al. 10.1007/s00382-015-2908-3
96. Nonlinear time series analysis of palaeoclimate proxy records N. Marwan et al. 10.1016/j.quascirev.2021.107245
97. Multivariate probabilistic forecasting using ensemble Bayesian model averaging and copulas A. Möller et al. 10.1002/qj.2009
98. Parametric models for distributions when interest is in extremes with an application to daily temperature M. Stein 10.1007/s10687-020-00378-z
99. 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
100. 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
101. Probabilistic Gaussian Copula Regression Model for Multisite and Multivariable Downscaling M. Ben Alaya et al. 10.1175/JCLI-D-13-00333.1
102. The spatial structure of European wind storms as characterized by bivariate extreme-value Copulas A. Bonazzi et al. 10.5194/nhess-12-1769-2012
103. D‐vine‐copula‐based postprocessing of wind speed ensemble forecasts D. Jobst et al. 10.1002/qj.4521
104. Mixture of D-Vine copulas for chemical process monitoring W. Zheng et al. 10.1016/j.chemolab.2017.08.002
105. Generating Nonnormal Multivariate Data Using Copulas: Applications to SEM P. Mair et al. 10.1080/00273171.2012.692629
106. Probabilistic assessment of regional climate change in Southwest Germany by ensemble dressing C. Schölzel & A. Hense 10.1007/s00382-010-0815-1
107. Changes in Large Lake Water Level Dynamics in Response to Climate Change A. VanDeWeghe et al. 10.3389/frwa.2022.805143
108. Vine copula models for predicting water flow discharge at King George Island, Antarctica M. Gómez et al. 10.1007/s00477-018-1599-9
109. Copula-based assimilation of radar and gauge information to derive bias-corrected precipitation fields S. Vogl et al. 10.5194/hess-16-2311-2012
110. Review of dependence modeling in hydrology and water resources Z. Hao & V. Singh 10.1177/0309133316632460
111. Implicit Copulas: An Overview M. Smith 10.1016/j.ecosta.2021.12.002
112. Bivariate bias correction of the regional climate model ensemble over the Adriatic region R. Sokol Jurković et al. 10.1002/joc.7564
113. Compound summer temperature and precipitation extremes over central Europe K. Sedlmeier et al. 10.1007/s00704-017-2061-5
114. Future multivariate weather generation by combining Bartlett-Lewis and vine copula models J. Van de Velde et al. 10.1080/02626667.2022.2144322
115. Copula‐based uncertainty modelling: application to multisensor precipitation estimates A. AghaKouchak et al. 10.1002/hyp.7632
116. Detecting and modeling critical dependence structures between random inputs of computer models N. Benoumechiara et al. 10.1515/demo-2020-0016
117. Generation of realistic virtual adult populations using a model-based copula approach Y. Guo et al. 10.1007/s10928-024-09929-4
118. Time-variant reliability assessment for bridge structures based on deep learning and regular vine copula models Q. Xiao et al. 10.1016/j.measurement.2024.115253
119. Copula modeling from Abe Sklar to the present day C. Genest et al. 10.1016/j.jmva.2023.105278
120. 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
121. Windblown sand saltation: A statistical approach to fluid threshold shear velocity L. Raffaele et al. 10.1016/j.aeolia.2016.10.002
122. Modelling of interdependence between rainfall and temperature using copula P. Pandey et al. 10.1007/s40808-018-0454-9
123. Residual-based copula parameter estimation O. Na & S. Kwon 10.5351/KJAS.2016.29.1.267
124. How well do regional climate models simulate the spatial dependence of precipitation? An application of pair‐copula constructions I. Hobæk Haff et al. 10.1002/2014JD022748
125. Flexible Lévy-Based Models for Time Series of Count Data with Zero-Inflation, Overdispersion, and Heavy Tails C. Kollie et al. 10.1155/2023/1780404
126. Speech signal modeling using multivariate distributions A. Aroudi et al. 10.1186/s13636-015-0078-1
127. Emulator For Eroded Beach And Dune Profiles Due To Storms A. Gharagozlou et al. 10.1029/2022JF006620
128. Analysis of the Parametric Correlation in Mathematical Modeling of In Vitro Glioblastoma Evolution Using Copulas J. Ayensa-Jiménez et al. 10.3390/math9010027
129. Multivariate ensemble Model Output Statistics using empirical copulas D. Wilks 10.1002/qj.2414
130. A v-transformed copula-based simulation model for lithological classification in an Indian copper deposit K. Dinda et al. 10.1038/s41598-022-24233-2
131. Uncertainty Quantification in Complex Simulation Models Using Ensemble Copula Coupling R. Schefzik et al. 10.1214/13-STS443
132. Modeling and Estimation of Heterogeneous Spatiotemporal Attributes Under Conditions of Uncertainty H. Yu & G. Christakos 10.1109/TGRS.2010.2052624
133. Bivariate copula monitoring A. Easton et al. 10.1002/qre.3034
134. Long-Term Spatial Modelling for Characteristics of Extreme Heat Events E. Schliep et al. 10.1111/rssa.12710
135. Copulas for hydroclimatic analysis: A practice‐oriented overview F. Tootoonchi et al. 10.1002/wat2.1579
136. 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
137. Probabilistic modelling of extreme storms along the Dutch coast F. Li et al. 10.1016/j.coastaleng.2013.12.009
138. Reliability assessment of a building complex with four long-span roof structures based on wind tunnel experiments M. Huang et al. 10.1007/s13349-021-00519-3
139. Compound Extremes of Air Temperature and Precipitation in Eastern Europe E. Vyshkvarkova & O. Sukhonos 10.3390/cli10090133
140. Understanding the joint behavior of temperature and precipitation for climate change impact studies A. Rana et al. 10.1007/s00704-016-1774-1
141. Review of probabilistic pollen-climate transfer methods C. Ohlwein & E. Wahl 10.1016/j.quascirev.2011.11.002
142. Bayesian flood forecasting methods: A review S. Han & P. Coulibaly 10.1016/j.jhydrol.2017.06.004
143. 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
144. 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
145. Characterization of Precipitation through Copulas and Expert Judgement for Risk Assessment of Infrastructure O. Morales-Nápoles et al. 10.1061/AJRUA6.0000914
146. Modeling the Interdependence Structure between Rain and Radar Variables Using Copulas: Applications to Heavy Rainfall Estimation by Weather Radar E. Zahiri et al. 10.3390/atmos13081298
147. Exploring the road icing risk: considering the dependence of icing-inducing factors Q. Liu et al. 10.1007/s11069-022-05632-0
148. Data assimilation in the geosciences: An overview of methods, issues, and perspectives A. Carrassi et al. 10.1002/wcc.535
149. 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
150. Copula-based joint distribution analysis of the ENSO effect on the drought indicators over Borneo fire-prone areas M. Najib et al. 10.1007/s40808-021-01267-5
151. Managing soil natural capital: An effective strategy for mitigating future agricultural risks? R. Cong et al. 10.1016/j.agsy.2014.05.003
152. Joint distribution of temperature and precipitation in the Mediterranean, using the Copula method G. Lazoglou & C. Anagnostopoulou 10.1007/s00704-018-2447-z
153. Accounting for correlational structures in stochastic comparative life cycle assessments through copula modeling R. Gil et al. 10.1007/s11367-020-01859-w
154. Multivariate anomaly detection for Earth observations: a comparison of algorithms and feature extraction techniques M. Flach et al. 10.5194/esd-8-677-2017
155. Integrating Entropy and Copula Theories for Hydrologic Modeling and Analysis Z. Hao & V. Singh 10.3390/e17042253
156. 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
157. 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
158. Using stratified Bayesian model averaging in probabilistic forecasts of precipitation over the middle and lower Yangtze River region H. Qi et al. 10.1007/s00703-021-00799-w
159. Characterizing the temperature and precipitation covariability over Canada H. Singh et al. 10.1007/s00704-019-03062-w
160. Approximate Bayesian Inference in Semiparametric Copula Models C. Grazian & B. Liseo 10.1214/17-BA1080
161. Compound extremes in a changing climate – a Markov chain approach K. Sedlmeier et al. 10.5194/npg-23-375-2016
162. Generalised block bootstrap and its use in meteorology L. Varga & A. Zempléni 10.5194/ascmo-3-55-2017
163. Introducing novel risk-based indicator for determining transmission line tower's backflashover performance P. Sarajcev et al. 10.1016/j.epsr.2018.03.006
164. Tolerance Analysis of a Deformable Component Using the Probabilistic Approach and Kriging-Based Surrogate Models P. Beaurepaire et al. 10.1061/AJRUA6.0000979
165. Environmental Impact Bonds: a common framework and looking ahead M. Brand et al. 10.1088/2634-4505/ac0b2c
166. 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
167. Harmonics, evolutionary generators, DANCE, and HEAR—functional dimensions J. Furze & E. Mayad 10.1007/s11356-021-13159-3
168. Sparse conditional copula models for structured output regression M. Kim 10.1016/j.patcog.2016.03.027
169. Analyzing rainfall patterns and pricing rainfall insurance using copula C. Choi et al. 10.7465/jkdi.2013.24.3.603
170. Estimating future balancing power requirements in wind–PV power system J. Vasilj et al. 10.1016/j.renene.2016.06.063
171. Drought Occurring With Hot Extremes: Changes Under Future Climate Change on Loess Plateau, China C. Sun et al. 10.1029/2018EF001103
172. A Statistical Analysis of the Occurrences of Critical Waves and Water Levels for the Management of the Operativity of the MoSE System in the Venice Lagoon G. Tomasicchio et al. 10.1007/s00477-021-02133-7
173. Copulae: An overview and recent developments J. Größer & O. Okhrin 10.1002/wics.1557
174. 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
175. Toward daily climate scenarios for Canadian Arctic coastal zones with more realistic temperature‐precipitation interdependence F. Gennaretti et al. 10.1002/2015JD023890
176. A comparison of nonlinear extensions to the ensemble Kalman filter I. Grooms 10.1007/s10596-022-10141-x
177. Simulation of two-dimensional distribution laws of random correlated quantities of natural-climatic factors in context of probabilistic assessment of reliability of hydraulic structures of cascades of hydroschemes A. Mozgovyi et al. 10.1051/e3sconf/202128003007
178. The Interdependence between Rainfall and Temperature: Copula Analyses R. Cong & M. Brady 10.1100/2012/405675
179. Multivariate fire risk models using copula regression in Kalimantan, Indonesia M. Najib et al. 10.1007/s11069-022-05346-3
180. 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
181. Multidimensional risk in a nonstationary climate: Joint probability of increasingly severe warm and dry conditions A. Sarhadi et al. 10.1126/sciadv.aau3487