Development of the tangent linear and adjoint models of the MPAS-Atmosphere dynamic core and applications in adjoint relative sensitivity studies

This study develops and tests a version of the Python-driven, non-hydrostatic Model for Prediction Across Scales – Atmosphere (MPAS-A) dynamic model, as well as its tangent linear and adjoint models. The non-linear, non-hydrostatic dynamic core of the MPAS-A is restructured to have a Python driver f...

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Bibliographic Details
Main Authors: Xiaoxu Tian, Xiaolei Zou
Format: Article
Language:English
Published: Taylor & Francis Group 2020-01-01
Series:Tellus: Series A, Dynamic Meteorology and Oceanography
Subjects:
Online Access:http://dx.doi.org/10.1080/16000870.2020.1814602