155 citations as recorded by crossref.

1. Fusion of Multiple Gridded Biomass Datasets for Generating a Global Forest Aboveground Biomass Map Y. Zhang & S. Liang
2. Historical and future runoff changes in the Yangtze River Basin from CMIP6 models constrained by a weighting strategy J. Zhao et al.
3. Characterization of long period return values of extreme daily temperature and precipitation in the CMIP6 models: Part 1, model evaluation M. Wehner et al.
4. Global terrestrial water storage and drought severity under climate change Y. Pokhrel et al.
5. Using indices of atmospheric circulation to refine southern Australian winter rainfall climate projections M. Grose et al.
6. Permafrost Degradation and Concomitant Hydrological Changes Dominated by Anthropogenic Greenhouse Gas Emissions in the Northeastern Tibetan Plateau P. Fang et al.
7. Integrated Assessment of Climate-Driven Streamflow Changes in a Transboundary Lake Basin Using CMIP6-SWAT+-BMA: A Sustainability Perspective F. Xiao et al.
8. Understanding the Distribution of Multimodel Ensembles B. Christiansen
9. Precipitation projections over the Indus River Basin of Pakistan for the 21st century using a statistical downscaling framework M. Pomee & E. Hertig
10. Bayesian Model Averaging of Climate Model Projections Constrained by Precipitation Observations over the Contiguous United States E. Massoud et al.
11. Optimal reliability ensemble averaging approach for robust climate projections over China Y. Gao et al.
12. Asian water tower evinced in total column water vapor: a comparison among multiple satellite and reanalysis data sets Y. Zhao & T. Zhou
13. Assessment of uncertainty in multi‐model means of downscaled South Florida precipitation for projected (2019–2099) climate J. Infanti et al.
14. Projection and Uncertainty Analysis of Future Temperature Change over the Yarlung Tsangpo-Brahmaputra River Basin Based on CMIP6 Z. Xu et al.
15. Reduced global warming from CMIP6 projections when weighting models by performance and independence L. Brunner et al.
16. Performance assessment of 22 CMIP6 climate models for projecting wind climate and wind power over the Mediterranean Sea E. Çalışır et al.
17. Amplification of compound hot-dry extremes and associated population exposure over East Africa B. Ayugi et al.
18. A novel statistical framework for the reduction of uncertainties in multimodel ensemble of global climate models of precipitation simulations R. Khalil & Z. Ali
19. Increased population exposure to extreme droughts in Iberia due to 0.5 °C additional anthropogenic warming A. Russo et al.
20. Projections of population exposure to hot and dry events in the end of the 21st century on the Iberian Peninsula V. Bento et al.
21. Characterizing adaptive capacity for the future heat-related cardiovascular morbidity burden in U.S. Metropolitan areas W. Tsai et al.
22. Future terrestrial water reserves are projected to undergo stronger interannual variability J. Zhu et al.
23. Advances in aggregation methods for multi-model ensembles in climate science: A comprehensive review M. Shiru et al.
24. Toward more robust net primary production projections in the North Atlantic Ocean S. Doléac et al.
25. Opening Pandora's box: reducing global circulation model uncertainty in Australian simulations of the carbon cycle L. Teckentrup et al.
26. Spatiotemporal Reliability Ensemble Averaging of Multimodel Simulations G. Tegegne et al.
27. Taking climate model evaluation to the next level V. Eyring et al.
28. Establishing a Range of Extreme Precipitation Estimates in California for Planning in the Face of Climate Change D. Feldman et al.
29. RECCAP2 Future Component: Consistency and Potential for Regional Assessment to Constrain Global Projections C. Jones et al.
30. Constraining CMIP6 Projections of an Ice‐Free Arctic Using a Weighting Scheme J. Zhao et al.
31. The future of extreme meteorological fire danger under climate change scenarios for Iberia V. Bento et al.
32. Model weighting for ISMIP6-Greenland based on observations and similarity among models X. Luo & S. Nowicki
33. Causal networks for climate model evaluation and constrained projections P. Nowack et al.
34. Exploring the Multiverse of Analytical Decisions in Scaling Educational Large-Scale Assessment Data: A Specification Curve Analysis for PISA 2018 Mathematics Data A. Robitzsch
35. Research Advances in Projections of Regional Climate Change over China B. Zhou et al.
36. Sensitivity of projected climate impacts to climate model weighting: multi-sector analysis in eastern Africa S. Kolusu et al.
37. Multi criteria evaluation of downscaled CMIP6 models in predicting precipitation extremes R. Gupta et al.
38. Learning algorithms allow for improved reliability and accuracy of global mean surface temperature projections E. Strobach & G. Bel
39. network-based constraint to evaluate climate sensitivity L. Ricard et al.
40. Biased estimates of the isotope ratios of steady‐state evaporation from the assumption of equilibrium between vapour and precipitation R. Fiorella et al.
41. The need for carbon-emissions-driven climate projections in CMIP7 B. Sanderson et al.
42. Precipitation regime change in Western North America: The role of Atmospheric Rivers A. Gershunov et al.
43. Constraining Uncertainties in CMIP5 Projections of September Arctic Sea Ice Extent with Observations D. Senftleben et al.
44. Water scarcity down to earth surface in a Mediterranean climate: The extreme future of soil moisture in Portugal P. Soares & D. Lima
45. A Markov chain method for weighting climate model ensembles M. Kulinich et al.
46. Projecting meteorological drought in Northern Malawi using SPEI and bias-corrected CMIP6 models I. Tchuwa & J. Patel
47. Influence of Environmental Factors on the Site Selection and Layout of Ancient Military Towns (Zhejiang Region) L. Tan et al.
48. Similarities within a multi-model ensemble: functional data analysis framework E. Holtanová et al.
49. Selecting and weighting dynamical models using data-driven approaches P. Le Bras et al.
50. Systematic and objective evaluation of Earth system models: PCMDI Metrics Package (PMP) version 3 J. Lee et al.
51. Weighting climate models for hydrological projections: effects on contrasting hydroclimatic regions M. Castaneda-Gonzalez et al.
52. Opinion: Why all emergent constraints are wrong but some are useful – a machine learning perspective P. Nowack & D. Watson-Parris
53. Climate model Selection by Independence, Performance, and Spread (ClimSIPS v1.0.1) for regional applications A. Merrifield et al.
54. Reducing Snow Amount Uncertainty in CMIP6 PanCanadian Climate Projections D. Matte et al.
55. The Effect of Statistical Downscaling on the Weighting of Multi-Model Ensembles of Precipitation A. Wootten et al.
56. Assessing Flooding from Changes in Extreme Rainfall: Using the Design Rainfall Approach in Hydrologic Modeling A. Jalowska et al.
57. Projecting ozone hole recovery using an ensemble of chemistry–climate models weighted by model performance and independence M. Amos et al.
58. Implications of climate model selection for projections of decision-relevant metrics: A case study of chill hours in California K. Jagannathan et al.
59. Prospects and Caveats of Weighting Climate Models for Summer Maximum Temperature Projections Over North America R. Lorenz et al.
60. Ranking CMIP5 GCMs for Model Ensemble Selection on Regional Scale: Case Study of the Indochina Region R. Chhin & S. Yoden
61. Why we need lower-performance climate models R. O’Loughlin
62. Bringing it all together: science priorities for improved understanding of Earth system change and to support international climate policy C. Jones et al.
63. An Integrated Modeling Framework in Projections of Hydrological Extremes H. Meresa et al.
64. On the Choice of the Item Response Model for Scaling PISA Data: Model Selection Based on Information Criteria and Quantifying Model Uncertainty A. Robitzsch
65. Grappling with uncertainties in physical climate impact projections of water resources R. Dankers & Z. Kundzewicz
66. Impacts of climate change on the food-water nexus in central Arizona X. Guan & G. Mascaro
67. Global Climate Model Ensemble Approaches for Future Projections of Atmospheric Rivers E. Massoud et al.
68. Projected Changes to Hydroclimate Seasonality in the Continental United States K. Marvel et al.
69. Temperature variability projections remain uncertain after constraining them to best performing Large Ensembles of individual Climate Models L. Suarez-Gutierrez & N. Maher
70. Projected wave climate temporal variability due to climate change A. Loarca et al.
71. Emergent constraints on equilibrium climate sensitivity in CMIP5: do they hold for CMIP6? M. Schlund et al.
72. ESD Reviews: Model dependence in multi-model climate ensembles: weighting, sub-selection and out-of-sample testing G. Abramowitz et al.
73. Assessing sensitivities of climate model weighting to multiple methods, variables, and domains in the south-central United States A. Wootten et al.
74. Effective sample size for precipitation estimation in atmospheric general circulation model ensemble experiments: dependence on temporal and spatial averaging scales K. Hibino & I. Takayabu
75. Application-specific optimal model weighting of global climate models: A red tide example A. Elshall et al.
76. Projecting Response of Ecological Vulnerability to Future Climate Change and Human Policies in the Yellow River Basin, China X. Zhang et al.
77. 21st Century alpine climate change S. Kotlarski et al.
78. Fighting big data and ensemble fatigue in climate change impact studies: Can we turn the ensemble cascade upside down? E. Van Uytven et al.
79. An Approach for Selecting Observationally-Constrained Global Climate Model Ensembles for Regional Climate Impacts and Adaptation Studies in Canada D. Jeong & A. Cannon
80. Towards a balancing performance, uncertainty coverage, and spatial consistency in climate model sub-selection I. Lagos-Castro et al.
81. Future changes of socioeconomic exposure to potential landslide hazards over mainland China D. Li et al.
82. Business risk and the emergence of climate analytics T. Fiedler et al.
83. Toward Consistent Observational Constraints in Climate Predictions and Projections G. Hegerl et al.
84. Distribution-based pooling for combination and multi-model bias correction of climate simulations M. Vrac et al.
85. Reducing uncertainty in local temperature projections S. Qasmi & A. Ribes
86. Hydrological benefits of restoring wildfire regimes in the Sierra Nevada persist in a warming climate E. Rakhmatulina et al.
87. Development of a Hoisting Safety Risk Framework Based on the STAMP Theory and PLS-SEM Method Y. Junjia et al.
88. Does the weighting of climate simulations result in a better quantification of hydrological impacts? H. Wang et al.
89. Inferences of Groundwater Response to Projected Hydroclimatic Changes in North Florida F. Gordu & M. Nachabe
90. Comparing Methods to Constrain Future European Climate Projections Using a Consistent Framework L. Brunner et al.
91. Warm-Season Precipitation in the Eastern Pamir Plateau: Evaluation from Multi-Source Datasets and Elevation Dependence M. Yao et al.
92. Understanding and assessing uncertainty of observational climate datasets for model evaluation using ensembles M. Zumwald et al.
93. Constraining uncertainty in projected precipitation over land with causal discovery K. Debeire et al.
94. Evaluating the sensitivity of robust water resource interventions to climate change scenarios R. Geressu et al.
95. A multi-variable constrained ensemble of regional climate projections under multi-scenarios for Portugal – Part I: An overview of impacts on means and extremes D. Lima et al.
96. The role of crop simulation modeling in assessing potential climate change impacts D. Timlin et al.
97. Ranking of CMIP5-based global climate models using standard performance metrics for Telangana region in the southern part of India K. Sreelatha & P. Anand Raj
98. Past and future adverse response of terrestrial water storages to increased vegetation growth in drylands K. Liu et al.
99. Selecting a climate model subset to optimise key ensemble properties N. Herger et al.
100. Multi-Model Ensemble Projection of Precipitation Changes over China under Global Warming of 1.5 and 2°C with Consideration of Model Performance and Independence T. Li et al.
101. Developing Representative Impact Scenarios From Climate Projection Ensembles, With Application to UKCP18 and EURO‐CORDEX Precipitation S. Jewson et al.
102. Climate data uncertainty for agricultural impact assessments in West Africa P. Romanovska et al.
103. A temperature binning approach for multi-sector climate impact analysis M. Sarofim et al.
104. Emergent Constraints on CMIP6 Climate Warming Projections: Contrasting Cloud- and Surface Temperature–Based Constraints Y. Liang et al.
105. Wetter California Projected by CMIP6 Models With Observational Constraints Under a High GHG Emission Scenario F. Li et al.
106. Multidisciplinary assessment of the impact of temperature rise and headwind on aircraft take-off performance S. Salles et al.
107. Assessing the stability of terrestrial water storage to drought based on CMIP6 forcing scenarios W. Wei et al.
108. Reducing the Uncertainty in the Tropical Precipitation through a Multi‐Criteria Decision‐Making Approach A. Majhi et al.
109. Ensemble optimisation, multiple constraints and overconfidence: a case study with future Australian precipitation change N. Herger et al.
110. Prescreening-Based Subset Selection for Improving Predictions of Earth System Models With Application to Regional Prediction of Red Tide A. Elshall et al.
111. Change in Precipitation over the Tibetan Plateau Projected by Weighted CMIP6 Models Y. Zhao et al.
112. Limited comparability of global and local estimates of environmental flow requirements to sustain river ecosystems M. Messager et al.
113. Projected urban flood risk assessment under climate change and urbanization based on an optimized multi-scale geographically weighted regression F. Han et al.
114. Effects of anthropogenic climate change on the compound drought and heat events in different agricultural regions of China J. Yang et al.
115. Emergence of climate change signal in CMIP6 extreme indices N. Schuhen et al.
116. Quantifying uncertainty in European climate projections using combined performance-independence weighting L. Brunner et al.
117. Future climate impacts on biodiversity trends in major global rivers worldwide Q. Ma et al.
118. A dependent multimodel approach to climate prediction with Gaussian processes M. Thompson et al.
119. Beyond equilibrium climate sensitivity R. Knutti et al.
120. The potential for structural errors in emergent constraints B. Sanderson et al.
121. Unrevealing past and future vegetation restoration on the Loess Plateau and its impact on terrestrial water storage K. Liu et al.
122. Sensitivity of future climate change and uncertainty over India to performance-based model weighting R. Singh & K. AchutaRao
123. Future extreme hourly wet bulb temperatures using downscaled climate model projections of temperature and relative humidity M. Alessi & A. DeGaetano
124. Interdependency in Multimodel Climate Projections: Component Replication and Result Similarity J. Boé
125. Changes in temperature and precipitation in the instrumental period (1951–2018) and projections up to 2100 in Podgorica (Montenegro) D. Burić & M. Doderović
126. Constraining Uncertainty in Projected Gross Primary Production With Machine Learning M. Schlund et al.
127. A SPATIOTEMPORAL-AWARE WEIGHTING SCHEME FOR IMPROVING CLIMATE MODEL ENSEMBLE PREDICTIONS M. Fan et al.
128. Probabilistic projection of extreme precipitation changes over Iran by the CMIP6 multi-model ensemble S. Khansalari & A. Mohammadi
129. CH2018 – National climate scenarios for Switzerland: How to construct consistent multi-model projections from ensembles of opportunity S. Sørland et al.
130. Calibrating Climate Model Ensembles for Assessing Extremes in a Changing Climate N. Herger et al.
131. The future of Iberian droughts: a deeper analysis based on multi-scenario and a multi-model ensemble approach P. Soares et al.
132. Demystifying global climate models for use in the life sciences D. Schoeman et al.
133. Assessing and reducing the environmental impact of dairy production systems in the northern US in a changing climate K. Veltman et al.
134. Running to warmer-drier springs in the Greater Mekong Subregion as climate warms Z. Dong et al.
135. Comparison between statistical and dynamical downscaling for estimating significant wave height (Hsig) in the Cuban Archipelago A. Hidalgo-Mayo & I. Mitrani-Arenal
136. Sign of Observed California Temperature Trends Depends on Data Set Homogenization: Implications for Weighting and Downscaling A. Charn et al.
137. Influence of individual models and studies on quantitative mitigation findings in the IPCC Sixth Assessment Report I. Sognnaes & G. Peters
138. Regional evaluation of global climate models for precipitation, maximum and minimum temperature over southern-part of India K. Sreelatha & P. AnandRaj
139. Ensemble Assessment of Extreme Precipitation Risk under 1.5 and 2.0°C Warming Targets in the Yangtze River Basin X. Mo et al.
140. Exploration of diverse solutions for the calibration of imperfect climate models S. Peatier et al.
141. A surrogate weighted mean ensemble method to reduce the uncertainty at a regional scale for the calculation of potential evapotranspiration B. Yoo et al.
142. Ensembles for Viticulture Climate Classifications of the Willamette Valley Wine Region B. Skahill et al.
143. Quantifying the Value of Learning for Flexible Water Infrastructure Planning J. Skerker et al.
144. Informing Future Risks of Record‐Level Rainfall in the United States B. Sanderson et al.
145. Reduced Complexity Model Intercomparison Project Phase 2: Synthesizing Earth System Knowledge for Probabilistic Climate Projections Z. Nicholls et al.
146. Evaluation of Satellite and Reanalysis Precipitable Water Vapor Data Sets Against Radiosonde Observations in Central Asia J. Jiang et al.
147. An evolving Coupled Model Intercomparison Project phase 7 (CMIP7) and Fast Track in support of future climate assessment J. Dunne et al.
148. Carbon Flux Variability From a Relatively Simple Ecosystem Model With Assimilated Data Is Consistent With Terrestrial Biosphere Model Estimates G. Quetin et al.
149. Combining global climate models using graph cuts S. Thao et al.
150. Observational Attribution-Constrained Projections of Area-Averaged Annual Mean Temperature Change over China H. Yin et al.
151. Uncovering the shortcomings of a weather typing method E. Van Uytven et al.
152. Benchmarking Simulated Precipitation Variability Amplitude across Time Scales M. Ahn et al.
153. Projected shrinking of tropical vegetation biomass potential with future hydroclimatic shifts F. Meunier et al.
154. Pareto‐Optimal Estimates of California Precipitation Change B. Langenbrunner & J. Neelin
155. Evaluation of CMIP6 GCMs Over the CONUS for Downscaling Studies M. Ashfaq et al.