Articles | Volume 16, issue 21
https://doi.org/10.5194/gmd-16-6067-2023
https://doi.org/10.5194/gmd-16-6067-2023
Model description paper
 | 
31 Oct 2023
Model description paper |  | 31 Oct 2023

The Hydro-ABC model (Version 2.0): a simplified convective-scale model with moist dynamics

Jiangshan Zhu and Ross Noel Bannister

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Cited articles

Bannister, R.: A review of operational methods of variational and ensemble-variational data assimilation, Q. J. Roy. Meteor. Soc., 143, 607–633, https://doi.org/10.1002/qj.2982, 2017. a, b
Bannister, R.: rossbannister/Hydro-ABC_vn2.0: Hydro-ABC_vn_2.0 (Hydro-ABC_vn_2.0), Zenodo [code], https://doi.org/10.5281/zenodo.7418510, 2022. a
Bannister, R. and Zhu, J.: Ensemble of initial conditions for Hydro-ABC, Zenodo [data set], https://doi.org/10.5281/zenodo.10025251, 2023. a
Bannister, R. N.: A review of forecast error covariance statistics in atmospheric variational data assimilation. II: Modelling the forecast error covariance statistics, Q. J. Roy. Meteor. Soc., 134, 1971–1996, 2008. a
Bannister, R. N.: The ABC-DA system (v1.4): a variational data assimilation system for convective-scale assimilation research with a study of the impact of a balance constraint, Geosci. Model Dev., 13, 3789–3816, https://doi.org/10.5194/gmd-13-3789-2020, 2020. a
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Short summary
We describe how condensation and evaporation are included in the existing (otherwise dry) simplified ABC model. The new model (Hydro-ABC) includes transport of vapour and condensate within a dynamical core, and it transitions between these two phases via a micro-physics scheme. The model shows the development of an anvil cloud and excitation of atmospheric waves over many frequencies. The covariances that develop between variables are also studied together with indicators of convective motion.
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