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

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Cited articles

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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
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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.