Articles | Volume 15, issue 18
https://doi.org/10.5194/gmd-15-7203-2022
https://doi.org/10.5194/gmd-15-7203-2022
Methods for assessment of models
 | 
26 Sep 2022
Methods for assessment of models |  | 26 Sep 2022

Analog data assimilation for the selection of suitable general circulation models

Juan Ruiz, Pierre Ailliot, Thi Tuyet Trang Chau, Pierre Le Bras, Valérie Monbet, Florian Sévellec, and Pierre Tandeo

Related authors

Selecting and weighting dynamical models using data-driven approaches
Pierre Le Bras, Florian Sévellec, Pierre Tandeo, Juan Ruiz, and Pierre Ailliot
EGUsphere, https://doi.org/10.5194/egusphere-2023-2649,https://doi.org/10.5194/egusphere-2023-2649, 2023
Short summary
Reduced non-Gaussianity by 30 s rapid update in convective-scale numerical weather prediction
Juan Ruiz, Guo-Yuan Lien, Keiichi Kondo, Shigenori Otsuka, and Takemasa Miyoshi
Nonlin. Processes Geophys., 28, 615–626, https://doi.org/10.5194/npg-28-615-2021,https://doi.org/10.5194/npg-28-615-2021, 2021
Short summary
Volcanic ash forecast using ensemble-based data assimilation: an ensemble transform Kalman filter coupled with the FALL3D-7.2 model (ETKF–FALL3D version 1.0)
Soledad Osores, Juan Ruiz, Arnau Folch, and Estela Collini
Geosci. Model Dev., 13, 1–22, https://doi.org/10.5194/gmd-13-1-2020,https://doi.org/10.5194/gmd-13-1-2020, 2020
Short summary

Related subject area

Climate and Earth system modeling
A sub-grid parameterization scheme for topographic vertical motion in CAM5-SE
Yaqi Wang, Lanning Wang, Juan Feng, Zhenya Song, Qizhong Wu, and Huaqiong Cheng
Geosci. Model Dev., 16, 6857–6873, https://doi.org/10.5194/gmd-16-6857-2023,https://doi.org/10.5194/gmd-16-6857-2023, 2023
Short summary
Technology to aid the analysis of large-volume multi-institute climate model output at a central analysis facility (PRIMAVERA Data Management Tool V2.10)
Jon Seddon, Ag Stephens, Matthew S. Mizielinski, Pier Luigi Vidale, and Malcolm J. Roberts
Geosci. Model Dev., 16, 6689–6700, https://doi.org/10.5194/gmd-16-6689-2023,https://doi.org/10.5194/gmd-16-6689-2023, 2023
Short summary
A diffusion-based kernel density estimator (diffKDE, version 1) with optimal bandwidth approximation for the analysis of data in geoscience and ecological research
Maria-Theresia Pelz, Markus Schartau, Christopher J. Somes, Vanessa Lampe, and Thomas Slawig
Geosci. Model Dev., 16, 6609–6634, https://doi.org/10.5194/gmd-16-6609-2023,https://doi.org/10.5194/gmd-16-6609-2023, 2023
Short summary
Monte Carlo drift correction – quantifying the drift uncertainty of global climate models
Benjamin S. Grandey, Zhi Yang Koh, Dhrubajyoti Samanta, Benjamin P. Horton, Justin Dauwels, and Lock Yue Chew
Geosci. Model Dev., 16, 6593–6608, https://doi.org/10.5194/gmd-16-6593-2023,https://doi.org/10.5194/gmd-16-6593-2023, 2023
Short summary
Improvements in the Canadian Earth System Model (CanESM) through systematic model analysis: CanESM5.0 and CanESM5.1
Michael Sigmond, James Anstey, Vivek Arora, Ruth Digby, Nathan Gillett, Viatcheslav Kharin, William Merryfield, Catherine Reader, John Scinocca, Neil Swart, John Virgin, Carsten Abraham, Jason Cole, Nicolas Lambert, Woo-Sung Lee, Yongxiao Liang, Elizaveta Malinina, Landon Rieger, Knut von Salzen, Christian Seiler, Clint Seinen, Andrew Shao, Reinel Sospedra-Alfonso, Libo Wang, and Duo Yang
Geosci. Model Dev., 16, 6553–6591, https://doi.org/10.5194/gmd-16-6553-2023,https://doi.org/10.5194/gmd-16-6553-2023, 2023
Short summary

Cited articles

Atencia, A. and Zawadzki, I.: A comparison of two techniques for generating nowcasting ensembles. Part II: Analogs selection and comparison of techniques, Mon. Weather Rev., 143, 2890–2908, 2015. a
Ayet, A. and Tandeo, P.: Nowcasting solar irradiance using an analog method and geostationary satellite images, Sol. Energy, 164, 301–315, 2018. a
Bannayan, M. and Hoogenboom, G.: Predicting realizations of daily weather data for climate forecasts using the non-parametric nearest-neighbour re-sampling technique, Int. J. Climatol., 28, 1357–1368, 2008. a
Barnett, T. and Preisendorfer, R.: Multifield analog prediction of short-term climate fluctuations using a climate state vector, J. Atmos. Sci., 35, 1771–1787, 1978. a
Burgers, G., Jan van Leeuwen, P., and Evensen, G.: Analysis scheme in the ensemble Kalman filter, Mon. Weather Rev., 126, 1719–1724, 1998. a
Download
Short summary
We present a new approach to validate numerical simulations of the current climate. The method can take advantage of existing climate simulations produced by different centers combining an analog forecasting approach with data assimilation to quantify how well a particular model reproduces a sequence of observed values. The method can be applied with different observations types and is implemented locally in space and time significantly reducing the associated computational cost.