44 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.
2. Impacts of orography on large-scale atmospheric circulation I. Sandu et al.
3. Revisiting Antarctic ice loss due to marine ice-cliff instability T. Edwards et al.
4. Remaining aerosol forcing uncertainty after observational constraint and the processes that cause it L. Regayre et al.
5. CMIP6 simulations with the compact Earth system model OSCAR v3.1 Y. Quilcaille et al.
6. 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.
7. Understanding global climate change scenarios through bioclimate stratification A. Soteriades et al.
8. Global Sensitivity of Simulated Water Balance Indicators Under Future Climate Change in the Colorado Basin K. Bennett et al.
9. Groundwater exhibits spatially opposing trends during the Australian Millennium Drought Y. Chen et al.
10. A clearer view of systematic errors in model development: two practical approaches using perturbed parameter ensembles J. Rostron et al.
11. Synergistic biophysics and machine learning modeling to rapidly predict cardiac growth probability C. Jones & P. Oomen
12. Evaluation of Land Surface Subprocesses and Their Impacts on Model Performance With Global Flux Data J. Li et al.
13. On the Uncertainty Induced by Pedotransfer Functions in Terrestrial Biosphere Modeling A. Paschalis et al.
14. The impact of performance filtering on climate feedbacks in a perturbed parameter ensemble J. Rostron et al.
15. Quantifying the Effects of Climate Change on Aircraft Take-Off Performance at European Airports J. Williams et al.
16. A machine learning approach to emulation and biophysical parameter estimation with the Community Land Model, version 5 K. Dagon et al.
17. Parametric Sensitivity and Uncertainty Quantification in the Version 1 of E3SM Atmosphere Model Based on Short Perturbed Parameter Ensemble Simulations Y. Qian et al.
18. Toward Efficient Calibration of Higher‐Resolution Earth System Models C. Fletcher et al.
19. Constraining the carbon cycle in JULES-ES-1.0 D. McNeall et al.
20. Ensembles of Global Climate Model Variants Designed for the Quantification and Constraint of Uncertainty in Aerosols and Their Radiative Forcing M. Yoshioka et al.
21. Region and cloud regime dependence of parametric sensitivity in E3SM atmosphere model Y. Qian et al.
22. Robust observational constraint of uncertain aerosol processes and emissions in a climate model and the effect on aerosol radiative forcing J. Johnson et al.
23. Exploration of diverse solutions for the calibration of imperfect climate models S. Peatier et al.
24. Opinion: The importance and future development of perturbed parameter ensembles in climate and atmospheric science K. Carslaw et al.
25. 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.
26. Correcting a bias in a climate model with an augmented emulator D. McNeall et al.
27. 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.
28. Finding plausible and diverse variants of a climate model. Part II: development and validation of methodology A. Karmalkar et al.
29. Reducing climate model biases by exploring parameter space with large ensembles of climate model simulations and statistical emulation S. Li et al.
30. Edge Detection Reveals Abrupt and Extreme Climate Events S. Bathiany et al.
31. The potential for structural errors in emergent constraints B. Sanderson et al.
32. Statistical constraints on climate model parameters using a scalable cloud-based inference framework J. Carzon et al.
33. Feature Calibration for Computer Models W. Xu et al.
34. Carbon Flux Variability From a Relatively Simple Ecosystem Model With Assimilated Data Is Consistent With Terrestrial Biosphere Model Estimates G. Quetin et al.
35. Quantifying Contributions of Uncertainties in Physical Parameterization Schemes and Model Parameters to Overall Errors in Noah‐MP Dynamic Vegetation Modeling J. Li et al.
36. The importance of comprehensive parameter sampling and multiple observations for robust constraint of aerosol radiative forcing J. Johnson et al.
37. Evaluation of CMIP6 Global Climate Models for Simulating Land Surface Energy and Water Fluxes During 1979–2014 J. Li et al.
38. Evaluating the climate projections for China through the lens of the simulations of planetary boundary layer height J. Meng et al.
39. Detection of potential structural deficiencies in a global aerosol model using a perturbed parameter ensemble L. Prévost et al.
40. Identifying climate model structural inconsistencies allows for tight constraint of aerosol radiative forcing L. Regayre et al.
41. Parameter optimization for carbon and water fluxes in two global land surface models based on surrogate modelling J. Li et al.
42. Impacts of Land Cover and Soil Texture Uncertainty on Land Model Simulations Over the Central Tibetan Plateau J. Li et al.
43. Assessing the potential for simplification in global climate model cloud microphysics U. Proske et al.
44. Quantifying uncertainty from aerosol and atmospheric parameters and their impact on climate sensitivity C. Fletcher et al.