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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- 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
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- The future of Upernavik Isstrøm through the ISMIP6 framework: sensitivity analysis and Bayesian calibration of ensemble prediction E. Jager et al. 10.5194/tc-18-5519-2024
- 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. 10.5194/gmd-9-1697-2016
- 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
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- Exploring the potential of history matching for land surface model calibration N. Raoult et al. 10.5194/gmd-17-5779-2024
- Impacts of Land Cover and Soil Texture Uncertainty on Land Model Simulations Over the Central Tibetan Plateau J. Li et al. 10.1029/2018MS001377
- 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
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