Articles | Volume 6, issue 5
https://doi.org/10.5194/gmd-6-1715-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-6-1715-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Methods for assessment of models
| 
21 Oct 2013
Methods for assessment of models |
| 21 Oct 2013
The potential of an observational data set for calibration of a computationally expensive computer model
D. J. McNeall
Met Office Hadley Centre, Exeter, UK
P. G. Challenor
College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, UK
J. R. Gattiker
Los Alamos National Laboratory, Los Alamos, New Mexico, NM 87545, USA
E. J. Stone
School of Geographical Sciences, University of Bristol, Bristol, UK
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19 citations as recorded by crossref.
- Rising methane emissions from boreal lakes due to increasing ice-free days M. Guo et al. 10.1088/1748-9326/ab8254
- Emulation and Sensitivity Analysis of the Community Multiscale Air Quality Model for a UK Ozone Pollution Episode A. Beddows et al. 10.1021/acs.est.6b05873
- 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
- Correcting a bias in a climate model with an augmented emulator D. McNeall et al. 10.5194/gmd-13-2487-2020
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- 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. 10.5194/gmd-7-1933-2014
- A comparison of statistical emulation methodologies for multi‐wave calibration of environmental models J. Salter & D. Williamson 10.1002/env.2405
- 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
- Calibrating an Ice Sheet Model Using High-Dimensional Binary Spatial Data W. Chang et al. 10.1080/01621459.2015.1108199
- Exploring the potential of history matching for land surface model calibration N. Raoult et al. 10.5194/gmd-17-5779-2024
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- Quantifying Spatio-Temporal Boundary Condition Uncertainty for the North American Deglaciation J. Salter et al. 10.1137/21M1409135
- Diagnosing added value of convection-permitting regional models using precipitation event identification and tracking W. Chang et al. 10.1007/s00382-018-4294-0
- Tuning without over-tuning: parametric uncertainty quantification for the NEMO ocean model D. Williamson et al. 10.5194/gmd-10-1789-2017
- 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
- Improving ice sheet model calibration using paleoclimate and modern data W. Chang et al. 10.1214/16-AOAS979
- Identifying and removing structural biases in climate models with history matching D. Williamson et al. 10.1007/s00382-014-2378-z
- Monthly Rainfall-Runoff Modeling at Watershed Scale: A Comparative Study of Data-Driven and Theory-Driven Approaches W. Chang & X. Chen 10.3390/w10091116
- The impact of structural error on parameter constraint in a climate model D. McNeall et al. 10.5194/esd-7-917-2016
1 citations as recorded by crossref.
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