Articles | Volume 6, issue 4
https://doi.org/10.5194/wcd-6-1539-2025
https://doi.org/10.5194/wcd-6-1539-2025
Research article
 | 
26 Nov 2025
Research article |  | 26 Nov 2025

Process-based diagnostics using atmospheric budget analysis and nudging technique to identify sources of model systematic errors

Chihiro Matsukawa, José M. Rodríguez, and Sean F. Milton

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Cited articles

Andrews, D. G., Leovy, C. B., and Holton, J. R.: Middle Atmosphere Dynamics, Academic Press, ISBN 0120585766, 1987. a
Andrews, D. G. and Mcintyre, M. E.: Planetary waves in horizontal and vertical shear: The generalized Eliassen-Palm relation and the mean zonal acceleration, Journal of Atmospheric Sciences, 33, 2031–2048, 1976. a
Bauer, P., Thorpe, A., and Brunet, G.: The quiet revolution of numerical weather prediction, Nature, 525, 47–55, https://doi.org/10.1038/nature14956, 2015. a, b
Best, M. J., Pryor, M., Clark, D. B., Rooney, G. G., Essery, R. L. H., Ménard, C. B., Edwards, J. M., Hendry, M. A., Porson, A., Gedney, N., Mercado, L. M., Sitch, S., Blyth, E., Boucher, O., Cox, P. M., Grimmond, C. S. B., and Harding, R. J.: The Joint UK Land Environment Simulator (JULES), model description – Part 1: Energy and water fluxes, Geosci. Model Dev., 4, 677–699, https://doi.org/10.5194/gmd-4-677-2011, 2011. a
Bland, J., Gray, S., Methven, J., and Forbes, R.: Characterising extratropical near-tropopause analysis humidity biases and their radiative effects on temperature forecasts, Quarterly Journal of the Royal Meteorological Society, 147, 3878–3898, https://doi.org/10.1002/qj.4150, 2021. a, b
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Short summary
To identify sources of the model systematic errors, we investigate northern hemisphere mid-latitude wind errors at short- to medium-range timescale using the atmospheric zonal-mean budgets analysis and the relaxation technique. These process-based diagnostics specify to what extent the individual components in the budgets contribute to the total tendency of the corresponding variable. This study shows disentanglements of compensating errors caused by mechanical and thermal forcings.
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