23 citations as recorded by crossref.

1. Rising methane emissions from boreal lakes due to increasing ice-free days M. Guo et al. https://doi.org/10.1088/1748-9326/ab8254
2. Dry snow initialization and densification over the Greenland and Antarctic ice sheets in the ORCHIDEE land surface model P. Conesa et al. https://doi.org/10.5194/tc-20-4973-2026
3. Emulation and Sensitivity Analysis of the Community Multiscale Air Quality Model for a UK Ozone Pollution Episode A. Beddows et al. https://doi.org/10.1021/acs.est.6b05873
4. Reducing climate model biases by exploring parameter space with large ensembles of climate model simulations and statistical emulation S. Li et al. https://doi.org/10.5194/gmd-12-3017-2019
5. Correcting a bias in a climate model with an augmented emulator D. McNeall et al. https://doi.org/10.5194/gmd-13-2487-2020
6. The future of Upernavik Isstrøm through the ISMIP6 framework: sensitivity analysis and Bayesian calibration of ensemble prediction E. Jager et al. https://doi.org/10.5194/tc-18-5519-2024
7. Large ensemble modeling of the last deglacial retreat of the West Antarctic Ice Sheet: comparison of simple and advanced statistical techniques D. Pollard et al. https://doi.org/10.5194/gmd-9-1697-2016
8. Probabilistic calibration of a Greenland Ice Sheet model using spatially resolved synthetic observations: toward projections of ice mass loss with uncertainties W. Chang et al. https://doi.org/10.5194/gmd-7-1933-2014
9. A comparison of statistical emulation methodologies for multi‐wave calibration of environmental models J. Salter & D. Williamson https://doi.org/10.1002/env.2405
10. Predicting global patterns of long-term climate change from short-term simulations using machine learning L. Mansfield et al. https://doi.org/10.1038/s41612-020-00148-5
11. Calibrating an Ice Sheet Model Using High-Dimensional Binary Spatial Data W. Chang et al. https://doi.org/10.1080/01621459.2015.1108199
12. Exploring the potential of history matching for land surface model calibration N. Raoult et al. https://doi.org/10.5194/gmd-17-5779-2024
13. Impacts of Land Cover and Soil Texture Uncertainty on Land Model Simulations Over the Central Tibetan Plateau J. Li et al. https://doi.org/10.1029/2018MS001377
14. Quantifying Spatio-Temporal Boundary Condition Uncertainty for the North American Deglaciation J. Salter et al. https://doi.org/10.1137/21M1409135
15. Diagnosing added value of convection-permitting regional models using precipitation event identification and tracking W. Chang et al. https://doi.org/10.1007/s00382-018-4294-0
16. Tuning without over-tuning: parametric uncertainty quantification for the NEMO ocean model D. Williamson et al. https://doi.org/10.5194/gmd-10-1789-2017
17. Parameter optimization for carbon and water fluxes in two global land surface models based on surrogate modelling J. Li et al. https://doi.org/10.1002/joc.5428
18. Improving ice sheet model calibration using paleoclimate and modern data W. Chang et al. https://doi.org/10.1214/16-AOAS979
19. Identifying and removing structural biases in climate models with history matching D. Williamson et al. https://doi.org/10.1007/s00382-014-2378-z
20. Monthly Rainfall-Runoff Modeling at Watershed Scale: A Comparative Study of Data-Driven and Theory-Driven Approaches W. Chang & X. Chen https://doi.org/10.3390/w10091116
21. The impact of structural error on parameter constraint in a climate model D. McNeall et al. https://doi.org/10.5194/esd-7-917-2016
22. Detection and attribution of the role of anthropogenic climate change in industrial-era retreat of Pine Island Glacier A. Bradley et al. https://doi.org/10.5194/tc-20-3443-2026
23. Feature Calibration for Computer Models W. Xu et al. https://doi.org/10.1137/24M163253X