Bokhove, O, Cantarello, L orcid.org/0000-0002-1005-8463 and Tobias, S (2022) An Idealized 1½-Layer Isentropic Model with Convection and Precipitation for Satellite Data Assimilation Research. Part II: Model Derivation. Journal of the Atmospheric Sciences, 79 (3). pp. 875-886. ISSN 0022-4928
Abstract
In this Part II paper we present a fully consistent analytical derivation of the “dry” isentropic 1½-layer shallow-water model described and used in Part I of this study, with no convection and precipitation. The mathematical derivation presented here is based on a combined asymptotic and slaved Hamiltonian analysis, which is used to resolve an apparent inconsistency arising from the application of a rigid-lid approximation to an isentropic two-layer shallow-water model. Real observations based on radiosonde data are used to justify the scaling assumptions used throughout the paper, as well as in Part I. Eventually, a fully consistent isentropic 1½-layer model emerges from imposing fluid at rest (v₁ = 0) and zero Montgomery potential (M₁ = 0) in the upper layer of an isentropic two-layer model.
Metadata
| Item Type: | Article | 
|---|---|
| Authors/Creators: | 
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| Copyright, Publisher and Additional Information: | © 2022 American Meteorological Society. See https://www.ametsoc.org/PUBSReuseLicenses for further information. Reproduced in accordance with the publisher's self-archiving policy. | 
| Keywords: | Data assimilation; Nonlinear models; Primitive equations model; Shallow-water equations; Idealized models | 
| Dates: | 
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| Institution: | The University of Leeds | 
| Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mathematics (Leeds) > Applied Mathematics (Leeds) | 
| Depositing User: | Symplectic Publications | 
| Date Deposited: | 07 Dec 2021 12:51 | 
| Last Modified: | 25 Jun 2023 22:50 | 
| Status: | Published | 
| Publisher: | American Meteorological Society | 
| Identification Number: | 10.1175/JAS-D-21-0023.1 | 
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:181182 | 

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