39 citations as recorded by crossref.

1. Multi‐Objective Adaptive Surrogate Modeling‐Based Optimization for Distributed Environmental Models Based on Grid Sampling R. Sun et al. 10.1029/2020WR028740
2. Impacts of orography on large-scale atmospheric circulation I. Sandu et al. 10.1038/s41612-019-0065-9
3. Revisiting Antarctic ice loss due to marine ice-cliff instability T. Edwards et al. 10.1038/s41586-019-0901-4
4. CMIP6 simulations with the compact Earth system model OSCAR v3.1 Y. Quilcaille et al. 10.5194/gmd-16-1129-2023
5. An iterative process for efficient optimisation of parameters in geoscientific models: a demonstration using the Parallel Ice Sheet Model (PISM) version 0.7.3 S. Phipps et al. 10.5194/gmd-14-5107-2021
6. Understanding global climate change scenarios through bioclimate stratification A. Soteriades et al. 10.1088/1748-9326/aa7689
7. Global Sensitivity of Simulated Water Balance Indicators Under Future Climate Change in the Colorado Basin K. Bennett et al. 10.1002/2017WR020471
8. Groundwater exhibits spatially opposing trends during the Australian Millennium Drought Y. Chen et al. 10.1088/1748-9326/ad521d
9. Synergistic biophysics and machine learning modeling to rapidly predict cardiac growth probability C. Jones & P. Oomen 10.1016/j.compbiomed.2024.109323
10. Evaluation of Land Surface Subprocesses and Their Impacts on Model Performance With Global Flux Data J. Li et al. 10.1029/2018MS001606
11. On the Uncertainty Induced by Pedotransfer Functions in Terrestrial Biosphere Modeling A. Paschalis et al. 10.1029/2021WR031871
12. The impact of performance filtering on climate feedbacks in a perturbed parameter ensemble J. Rostron et al. 10.1007/s00382-020-05281-8
13. A machine learning approach to emulation and biophysical parameter estimation with the Community Land Model, version 5 K. Dagon et al. 10.5194/ascmo-6-223-2020
14. Parametric Sensitivity and Uncertainty Quantification in the Version 1 of E3SM Atmosphere Model Based on Short Perturbed Parameter Ensemble Simulations Y. Qian et al. 10.1029/2018JD028927
15. Toward Efficient Calibration of Higher‐Resolution Earth System Models C. Fletcher et al. 10.1029/2021MS002836
16. Constraining the carbon cycle in JULES-ES-1.0 D. McNeall et al. 10.5194/gmd-17-1059-2024
17. Ensembles of Global Climate Model Variants Designed for the Quantification and Constraint of Uncertainty in Aerosols and Their Radiative Forcing M. Yoshioka et al. 10.1029/2019MS001628
18. Region and cloud regime dependence of parametric sensitivity in E3SM atmosphere model Y. Qian et al. 10.1007/s00382-023-06977-3
19. Robust observational constraint of uncertain aerosol processes and emissions in a climate model and the effect on aerosol radiative forcing J. Johnson et al. 10.5194/acp-20-9491-2020
20. Exploration of diverse solutions for the calibration of imperfect climate models S. Peatier et al. 10.5194/esd-15-987-2024
21. Parametric Sensitivity of Vegetation Dynamics in the TRIFFID Model and the Associated Uncertainty in Projected Climate Change Impacts on Western U.S. Forests L. Hawkins et al. 10.1029/2018MS001577
22. Correcting a bias in a climate model with an augmented emulator D. McNeall et al. 10.5194/gmd-13-2487-2020
23. Parametric and Structural Sensitivities of Turbine‐Height Wind Speeds in the Boundary Layer Parameterizations in the Weather Research and Forecasting Model B. Yang et al. 10.1029/2018JD029691
24. Finding plausible and diverse variants of a climate model. Part II: development and validation of methodology A. Karmalkar et al. 10.1007/s00382-019-04617-3
25. Reducing climate model biases by exploring parameter space with large ensembles of climate model simulations and statistical emulation S. Li et al. 10.5194/gmd-12-3017-2019
26. Edge Detection Reveals Abrupt and Extreme Climate Events S. Bathiany et al. 10.1175/JCLI-D-19-0449.1
27. The potential for structural errors in emergent constraints B. Sanderson et al. 10.5194/esd-12-899-2021
28. Statistical constraints on climate model parameters using a scalable cloud-based inference framework J. Carzon et al. 10.1017/eds.2023.12
29. Carbon Flux Variability From a Relatively Simple Ecosystem Model With Assimilated Data Is Consistent With Terrestrial Biosphere Model Estimates G. Quetin et al. 10.1029/2019MS001889
30. Quantifying Contributions of Uncertainties in Physical Parameterization Schemes and Model Parameters to Overall Errors in Noah‐MP Dynamic Vegetation Modeling J. Li et al. 10.1029/2019MS001914
31. The importance of comprehensive parameter sampling and multiple observations for robust constraint of aerosol radiative forcing J. Johnson et al. 10.5194/acp-18-13031-2018
32. Evaluation of CMIP6 Global Climate Models for Simulating Land Surface Energy and Water Fluxes During 1979–2014 J. Li et al. 10.1029/2021MS002515
33. Evaluating the climate projections for China through the lens of the simulations of planetary boundary layer height J. Meng et al. 10.1016/j.atmosres.2023.106975
34. Identifying climate model structural inconsistencies allows for tight constraint of aerosol radiative forcing L. Regayre et al. 10.5194/acp-23-8749-2023
35. Parameter optimization for carbon and water fluxes in two global land surface models based on surrogate modelling J. Li et al. 10.1002/joc.5428
36. Impacts of Land Cover and Soil Texture Uncertainty on Land Model Simulations Over the Central Tibetan Plateau J. Li et al. 10.1029/2018MS001377
37. Assessing the potential for simplification in global climate model cloud microphysics U. Proske et al. 10.5194/acp-22-4737-2022
38. Quantifying uncertainty from aerosol and atmospheric parameters and their impact on climate sensitivity C. Fletcher et al. 10.5194/acp-18-17529-2018
39. The epistemological status of general circulation models C. Loehle 10.1007/s00382-017-3717-7