23 citations as recorded by crossref.

1. Unraveling the forcings controlling the vegetation and climate of the best orbital analogues for the present interglacial in SW Europe D. Oliveira et al. https://doi.org/10.1007/s00382-017-3948-7
2. AutoEmulate: A Python package for semi-automated emulation M. Stoffel et al. https://doi.org/10.21105/joss.07626
3. An emulator-based modelling framework for studying astronomical controls on ocean anoxia with an application to the Devonian L. Sablon et al. https://doi.org/10.5194/gmd-18-10095-2025
4. The role of astronomical forcing on stochastically induced climate dynamics D. Alexandrov et al. https://doi.org/10.1140/epjs/s11734-024-01231-1
5. A simple rule to determine which insolation cycles lead to interglacials P. Tzedakis et al. https://doi.org/10.1038/nature21364
6. VISCOUS: A Variance‐Based Sensitivity Analysis Using Copulas for Efficient Identification of Dominant Hydrological Processes R. Sheikholeslami et al. https://doi.org/10.1029/2020WR028435
7. 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
8. PALEO-PGEM v1.0: a statistical emulator of Pliocene–Pleistocene climate P. Holden et al. https://doi.org/10.5194/gmd-12-5137-2019
9. Diverse response of global terrestrial vegetation to astronomical forcing and CO2 during the MIS-11 and MIS-13 interglacials Q. Su et al. https://doi.org/10.1007/s00382-022-06308-y
10. Emulator-based global sensitivity analysis for flow-like landslide run-out models H. Zhao et al. https://doi.org/10.1007/s10346-021-01690-w
11. 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. https://doi.org/10.1029/2018MS001577
12. Multi-level emulation of complex climate model responses to boundary forcing data G. Tran et al. https://doi.org/10.1007/s00382-018-4205-4
13. Viticulture extension in response to global climate change drivers – lessons from the past and future projections J. Guiot et al. https://doi.org/10.5194/cp-19-1219-2023
14. Retracted: Earth System Model Analysis of How Astronomical Forcing Is Imprinted Onto the Marine Geological Record: The Role of the Inorganic (Carbonate) Carbon Cycle and Feedbacks P. Vervoort et al. https://doi.org/10.1029/2020PA004090
15. Sensitivity of the Eocene climate to CO2 and orbital variability J. Keery et al. https://doi.org/10.5194/cp-14-215-2018
16. The relative role of direct orbital forcing versus CO2 and ice feedbacks on Quaternary climate C. Williams et al. https://doi.org/10.1038/s41467-026-70750-3
17. Emulation of long-term changes in global climate: application to the late Pliocene and future N. Lord et al. https://doi.org/10.5194/cp-13-1539-2017
18. Orbital Influences on Conditions Favorable for Glacial Inception G. O'Neill & A. Broccoli https://doi.org/10.1029/2021GL094290
19. Interglacials of the last 800,000 years https://doi.org/10.1002/2015RG000482
20. Systematic Assessment of MODTRAN Emulators for Atmospheric Correction J. Vicent Servera et al. https://doi.org/10.1109/TGRS.2021.3071376
21. A Gaussian process emulator for simulating ice sheet–climate interactions on a multi-million-year timescale: CLISEMv1.0 J. Van Breedam et al. https://doi.org/10.5194/gmd-14-6373-2021
22. Reproducing Internal Variability with Few Ensemble Runs S. Castruccio et al. https://doi.org/10.1175/JCLI-D-19-0280.1
23. Projected land ice contributions to twenty-first-century sea level rise T. Edwards et al. https://doi.org/10.1038/s41586-021-03302-y