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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Volume 7, issue 1
Geosci. Model Dev., 7, 225–241, 2014
https://doi.org/10.5194/gmd-7-225-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
Geosci. Model Dev., 7, 225–241, 2014
https://doi.org/10.5194/gmd-7-225-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Methods for assessment of models 29 Jan 2014

Methods for assessment of models | 29 Jan 2014

divand-1.0: n-dimensional variational data analysis for ocean observations

A. Barth et al.

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Cited articles

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Bannister, R. N.: A review of forecast error covariance statistics in atmospheric variational data assimilation. II: Modelling the forecast error covariance statistics, Q. J. R. Meteorol. Soc., 134, 1971–1996, https://doi.org/10.1002/qj.340, 2008.
Barth, A., Alvera-Azcárate, A., Troupin, C., Ouberdous, M., and Beckers, J.-M.: A web interface for griding arbitrarily distributed in situ data based on Data-Interpolating Variational Analysis (DIVA), Adv. Geosci., 28, 29–37, https://doi.org/10.5194/adgeo-28-29-2010, 2010.
Beckers, J.-M., Barth, A., and Alvera-Azcárate, A.: DINEOF reconstruction of clouded images including error maps – application to the Sea-Surface Temperature around Corsican Island, Ocean Sci., 2, 183–199, https://doi.org/10.5194/os-2-183-2006, 2006.
Bennett, A. F., Chua, B. S., and Leslie, L. M.: Generalized inversion of a global numerical weather prediction model, Meteor. Atmos. Phys., 60, 165–178, 1996.
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