Transport parameterization of the Polar SWIFT model (version 2)

Wohltmann, Ingo; Kreyling, Daniel; Lehmann, Ralph

doi:https://doi.org/10.5194/gmd-15-7243-2022

Articles | Volume 15, issue 18

https://doi.org/10.5194/gmd-15-7243-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-15-7243-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 18

Development and technical paper

|

27 Sep 2022

Development and technical paper |

| 27 Sep 2022

Transport parameterization of the Polar SWIFT model (version 2)

Ingo Wohltmann, Daniel Kreyling, and Ralph Lehmann

Supplement

https://doi.org/10.5194/gmd-15-7243-2022-supplement

Model code and software

ATLAS Chemistry and Transport Model Code Repository Ingo Wohltmann https://gitlab.awi.de/iwohltmann/atlas

Matlab scripts used for this work, including stand-alone models of transport parameterization and SWIFT Ingo Wohltmann https://doi.org/10.5281/zenodo.5834222

Snapshot of the source code of the ATLAS model for the manuscript "Transport parameterization of the Polar SWIFT model" Ingo Wohltmann https://doi.org/10.5281/zenodo.7097056

Short summary

The study evaluates the performance of the Data Assimilation Research Testbed (DART), equipped with the recently added forward operator Radiative Transfer for TOVS (RTTOV), in assimilating FY-4A visible images into the Weather Research and Forecasting (WRF) model. The ability of the WRF-DART/RTTOV system to improve the forecasting skills for a tropical storm over East Asia and the Western Pacific is demonstrated in an Observing System Simulation Experiment framework.