13 citations as recorded by crossref.

1. Modelling the effect of aerosol and greenhouse gas forcing on the South Asian and East Asian monsoons with an intermediate-complexity climate model L. Recchia & V. Lucarini 10.5194/esd-14-697-2023
2. Statistical mechanics in climate emulation: Challenges and perspectives I. Sudakow et al. 10.1017/eds.2022.15
3. 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
4. Towards the validation of a traceable climate model hierarchies R. Tokmakian & P. Challenor 10.1093/climsys/dzx003
5. Predicting global patterns of long-term climate change from short-term simulations using machine learning L. Mansfield et al. 10.1038/s41612-020-00148-5
6. Machine learning for weather and climate are worlds apart D. Watson-Parris 10.1098/rsta.2020.0098
7. Compression and Conditional Emulation of Climate Model Output J. Guinness & D. Hammerling 10.1080/01621459.2017.1395339
8. Toward Efficient Calibration of Higher‐Resolution Earth System Models C. Fletcher et al. 10.1029/2021MS002836
9. The impact of structural error on parameter constraint in a climate model D. McNeall et al. 10.5194/esd-7-917-2016
10. Sensitivity of Air Pollution Exposure and Disease Burden to Emission Changes in China Using Machine Learning Emulation L. Conibear et al. 10.1029/2021GH000570
11. New vigour involving statisticians to overcome ensemble fatigue R. Benestad et al. 10.1038/nclimate3393
12. Viticulture extension in response to global climate change drivers – lessons from the past and future projections J. Guiot et al. 10.5194/cp-19-1219-2023
13. PALEO-PGEM v1.0: a statistical emulator of Pliocene–Pleistocene climate P. Holden et al. 10.5194/gmd-12-5137-2019