Details

Autor(en) / Beteiligte

• Lee, Joshua Chun Kwang
• Amezcua, Javier
• Bannister, Ross Noel

Titel

Hybrid ensemble-variational data assimilation in ABC-DA within a tropical framework

Ist Teil von

• Geoscientific Model Development, 2022-08, Vol.15 (15), p.6197-6219

Ort / Verlag

Katlenburg-Lindau: Copernicus GmbH

Erscheinungsjahr

2022

Link zum Volltext

Quelle

EZB Electronic Journals Library

Beschreibungen/Notizen

• Hybrid ensemble-variational data assimilation (DA) methods have gained significant traction in recent years. These methods aim to alleviate the limitations and maximise the advantages offered by ensemble or variational methods. Most existing hybrid applications focus on the mid-latitudinal context; almost none have explored its benefits in the tropical context. In this article, hybrid ensemble-variational DA is introduced to a tropical configuration of a simplified non-hydrostatic convective-scale fluid dynamics model (the ABC model, named after its three key parameters: the pure gravity wave frequency A, the controller of the acoustic wave speed B, and the constant of proportionality between pressure and density perturbations C), and its existing variational framework, the ABC-DA system.