114 citations as recorded by crossref.

1. Effects of anthropogenic climate change on the compound drought and heat events in different agricultural regions of China J. Yang et al.
2. Modeling Future Climate Impacts on Brazil’s Operational Wind and Solar Energy Capacity F. Poyer et al.
3. Streamflow-based evaluation of climate model sub-selection methods J. Kiesel et al.
4. Developing Guidelines for working with Multi-Model Ensembles in CMIP A. Katzenberger et al.
5. A non-stationary extreme-value approach for climate projection ensembles: application to snow loads in the French Alps E. Le Roux et al.
6. Improving CMIP6 projections of daily precipitation using a mean-adjusted time variability correction technique Y. Shao & C. Bishop
7. To what extent horizontal resolution improves the simulation of precipitation in CMIP6 HighResMIP models over Southwest China? Z. Jin et al.
8. Selecting and weighting dynamical models using data-driven approaches P. Le Bras et al.
9. Application-specific optimal model weighting of global climate models: A red tide example A. Elshall et al.
10. Future seasonal changes of marine heatwaves in the Arabian Sea and Bay of Bengal D. Deegala & E. Chung
11. Impacts of Climate Change on Extreme Precipitation Events and Urban Waterlogging: A Case Study of Beijing X. Ji et al.
12. Combining global climate models using graph cuts S. Thao et al.
13. Projected increase in droughts over the Arabian Peninsula and associated uncertainties M. Saharwardi et al.
14. Emulating Earth system model temperatures with MESMER: from global mean temperature trajectories to grid-point-level realizations on land L. Beusch et al.
15. Uncertainty-informed selection of CMIP6 Earth system model subsets for use in multisectoral and impact models A. Snyder et al.
16. Multimodel Errors and Emergence Times in Climate Attribution Studies P. Naveau & S. Thao
17. Communicating potentially large but non‐robust changes in multi‐model projections of future climate G. Zappa et al.
18. Common Error Patterns in the Regional Atmospheric Circulation Simulated by the CMIP Multi‐Model Ensemble S. Brands
19. Evaluation of methods for selecting climate models to simulate future hydrological change A. Ross & R. Najjar
20. Ensemble Numerical Experiments with Earth System Models A. Eliseev
21. Wetter California Projected by CMIP6 Models With Observational Constraints Under a High GHG Emission Scenario F. Li et al.
22. Mutual information based weighted variance approach for uncertainty quantification of climate projections A. Majhi et al.
23. The hydrological cycle and ocean circulation of the Maritime Continent in the Pliocene: results from PlioMIP2 X. Ren et al.
24. Probabilistic projections of El Niño Southern Oscillation properties accounting for model dependence and skill R. Olson et al.
25. Scenario Forecasts of the Climate Change in Belarus Based on Regionally Adapted Ensembles of CMIP6 Climate Models S. Lysenko
26. On the predictability of turbulent fluxes from land: PLUMBER2 MIP experimental description and preliminary results G. Abramowitz et al.
27. Advances in atmospheric, oceanic, and coupled models for meteorological forecasting M. Waqas et al.
28. Comparing Methods to Constrain Future European Climate Projections Using a Consistent Framework L. Brunner et al.
29. Quantitative assessment of fire and vegetation properties in simulations with fire-enabled vegetation models from the Fire Model Intercomparison Project S. Hantson et al.
30. Evaluation for CMIP6 Climate Models Using a Weighting Technique: A Case Study in the Kherlen River Basin, Mongolia M. Zorigt et al.
31. Temperature and Precipitation Extremes over the Iberian Peninsula under Climate Change Scenarios: A Review S. Pereira et al.
32. Role of Artificial Intelligence in Disseminating Climate Information Services in Africa P. Chavula & F. Kayusi
33. A CMIP6-based multi-model downscaling ensemble to underpin climate change services in Australia M. Grose et al.
34. Characterising the range and outliers in CMIP6 multi-model climate projections of extremes P. Pall & A. King
35. Selection of CMIP5 GCM Ensemble for the Projection of Spatio-Temporal Changes in Precipitation and Temperature over the Niger Delta, Nigeria I. Hassan et al.
36. Atmospheric dust: cluster based frequency and intensity projections in Central Asia under SSP scenarios A. Fard et al.
37. Addressing partial identification in climate modeling and policy analysis C. Manski et al.
38. Potential for historically unprecedented Australian droughts from natural variability and climate change G. Falster et al.
39. Sustainability of Arctic Ecosystems in a Changing Climate O. Anisimov & E. Zhil’tsova
40. How do value-judgements enter model-based assessments of climate sensitivity? S. Undorf et al.
41. Are general circulation models obsolete? V. Balaji et al.
42. Physically based equation representing the forcing-driven precipitation in climate models D. Lee et al.
43. Predicted and Projected Water Resources Changes in the Chari Catchment, the Lake Chad Basin, Africa R. Mahmood et al.
44. Changes in mean and extreme temperature and precipitation events from different weighted multi-model ensembles over the northern half of Morocco S. Balhane et al.
45. Disentangling the uncertainties in regional projections for Australia S. Narsey et al.
46. A Multi‐Model Ensemble Kalman Filter for Data Assimilation and Forecasting E. Bach & M. Ghil
47. RECCAP2 Future Component: Consistency and Potential for Regional Assessment to Constrain Global Projections C. Jones et al.
48. The blessing of dimensionality for the analysis of climate data B. Christiansen
49. Quantification of model uncertainty in sub-daily extreme precipitation projections A. Majhi et al.
50. A dependent multimodel approach to climate prediction with Gaussian processes M. Thompson et al.
51. Perturbed Biology and Physics Signatures in a 1-D Ocean Biogeochemical Model Ensemble P. Anugerahanti et al.
52. Going Beyond the Ensemble Mean: Assessment of Future Floods From Global Multi‐Models I. Giuntoli et al.
53. Climate model Selection by Independence, Performance, and Spread (ClimSIPS v1.0.1) for regional applications A. Merrifield et al.
54. Explained predictions of strong eastern Pacific El Niño events using deep learning G. Rivera Tello et al.
55. Formally combining different lines of evidence in extreme-event attribution F. Otto et al.
56. Projecting ozone hole recovery using an ensemble of chemistry–climate models weighted by model performance and independence M. Amos et al.
57. Reduced global warming from CMIP6 projections when weighting models by performance and independence L. Brunner et al.
58. Exposure of mammal genetic diversity to mid‐21st century global change S. Theodoridis et al.
59. Evolution of land surface feedbacks on extreme heat: Adapting existing coupling metrics to a changing climate P. Dirmeyer et al.
60. Combination of Decadal Predictions and Climate Projections in Time: Challenges and Potential Solutions D. Befort et al.
61. Partitioning climate projection uncertainty with multiple large ensembles and CMIP5/6 F. Lehner et al.
62. Simulated Tropical Precipitation Assessed across Three Major Phases of the Coupled Model Intercomparison Project (CMIP) S. Fiedler et al.
63. A Markov chain method for weighting climate model ensembles M. Kulinich et al.
64. Spatial partitioning of terrestrial precipitation reveals varying dataset agreement across different environments Y. Markonis et al.
65. Climate Model Code Genealogy and Its Relation to Climate Feedbacks and Sensitivity P. Kuma et al.
66. Scenarios of Köppen-Trewartha climate types in Europe based on GCM-RCM combined projections E. Holtanová et al.
67. The optimization of model ensemble composition and size can enhance the robustness of crop yield projections L. Li et al.
68. Exploring future water resources and uses considering water demand scenarios and climate change for the French Sèvre Nantaise basin L. Santos et al.
69. CABra: a novel large-sample dataset for Brazilian catchments A. Almagro et al.
70. Annual Runoff and Climate Characteristics in large River Basins of Northern Eurasia under Global Warming A. Georgiadi et al.
71. From emission scenarios to spatially resolved projections with a chain of computationally efficient emulators: coupling of MAGICC (v7.5.1) and MESMER (v0.8.3) L. Beusch et al.
72. Why we need lower-performance climate models R. O’Loughlin
73. Effects of multi-observations uncertainty and models similarity on climate change projections R. Pathak et al.
74. Polar ice sheets are decisive contributors to uncertainty in climate tipping projections J. Rosser et al.
75. Dynamical downscaling CMIP6 models over New Zealand: added value of climatology and extremes P. Gibson et al.
76. Investigating the ability of CMIP6 HighResMIP models to simulate rainy season precipitation over the Lancang-Mekong River Basin D. Yao et al.
77. Assessing uncertainty for decision‐making in climate adaptation and risk mitigation P. Reggiani et al.
78. Assessing the Impacts of Land Use, Land Cover, and Climate Change on the Hydrological Regime of a Humid Tropical Basin A. Abraham & S. Kundapura
79. Time Variability Correction of CMIP6 Climate Change Projections Y. Shao et al.
80. Opening Pandora's box: reducing global circulation model uncertainty in Australian simulations of the carbon cycle L. Teckentrup et al.
81. Multimodel ensemble analysis with neural network Gaussian processes T. Harris et al.
82. Showcasing MESMER‐X: Spatially Resolved Emulation of Annual Maximum Temperatures of Earth System Models Y. Quilcaille et al.
83. Projected changes in mean annual cycle of temperature and precipitation over the Czech Republic: Comparison of CMIP5 and CMIP6 E. Holtanová et al.
84. A novel statistical framework for the reduction of uncertainties in multimodel ensemble of global climate models of precipitation simulations R. Khalil & Z. Ali
85. An investigation of weighting schemes suitable for incorporating large ensembles into multi-model ensembles A. Merrifield et al.
86. Robust historical evapotranspiration trends across climate regimes S. Hobeichi et al.
87. Uncertainty Analysis in Multi‐Sector Systems: Considerations for Risk Analysis, Projection, and Planning for Complex Systems V. Srikrishnan et al.
88. Advances in aggregation methods for multi-model ensembles in climate science: A comprehensive review M. Shiru et al.
89. Understanding the Distribution of Multimodel Ensembles B. Christiansen
90. Analysing the future trends of foehn-enabling synoptic patterns over two valleys in the Eastern Alps in CMIP5 EURO-CORDEX models P. Maier et al.
91. Does the weighting of climate simulations result in a better quantification of hydrological impacts? H. Wang et al.
92. Crossbreeding CMIP6 Earth System Models With an Emulator for Regionally Optimized Land Temperature Projections L. Beusch et al.
93. Climate change impact assessment on a German lowland river using long short-term memory and conceptual hydrological models A. Ley et al.
94. An Approach for Selecting Observationally-Constrained Global Climate Model Ensembles for Regional Climate Impacts and Adaptation Studies in Canada D. Jeong & A. Cannon
95. How Climate Change Will Affect the Brazilian Energy System: Evidence from a Systematic Review T. Cruz et al.
96. Assessment of precipitation and near-surface temperature simulation by CMIP6 models in South America M. Reboita et al.
97. Distribution-based pooling for combination and multi-model bias correction of climate simulations M. Vrac et al.
98. More accurate quantification of model-to-model agreement in externally forced climatic responses over the coming century N. Maher et al.
99. Plant profit maximization improves predictions of European forest responses to drought M. Sabot et al.
100. Assessment of Precipitation and Hydrological Droughts in South America through Statistically Downscaled CMIP6 Projections G. Ferreira et al.
101. Air–Sea CO2 Exchange Over the Mediterranean Sea, the Red Sea and the Arabian Sea M. Zarghamipour et al.
102. Opinion: Why all emergent constraints are wrong but some are useful – a machine learning perspective P. Nowack & D. Watson-Parris
103. Out of bounds: the use of model ensembles to explore model structural uncertainty under extreme events M. Evangelisti et al.
104. Weighting climate models for hydrological projections: effects on contrasting hydroclimatic regions M. Castaneda-Gonzalez et al.
105. Contrasting changes in hydrological processes of the Volta River basin under global warming M. Dembélé et al.
106. Towards Winter Seasonal Predictability of the North West European Shelf Seas J. Tinker & L. Hermanson
107. A global perspective on past and future change in regional seasonal cycle shape E. Holtanová et al.
108. Future precipitation changes in California: Comparison of CMIP5 and CMIP6 intermodel spread and its drivers D. Petrova et al.
109. Robustness reasoning in climate model comparisons R. O’Loughlin
110. Dynamically weighted ensemble of geoscientific models via automated machine-learning-based classification H. Chen et al.
111. On the relation of CMIP6 GCMs errors at RCM driving boundary condition zones and inner region for Central Europe region E. Holtanová et al.
112. Quantifying uncertainty in European climate projections using combined performance-independence weighting L. Brunner et al.
113. Divergent responses of historic rain-on-snow flood extremes to a warmer climate D. Hao et al.
114. Developing Representative Impact Scenarios From Climate Projection Ensembles, With Application to UKCP18 and EURO‐CORDEX Precipitation S. Jewson et al.