Articles | Volume 15, issue 19
https://doi.org/10.5194/gmd-15-7397-2022
https://doi.org/10.5194/gmd-15-7397-2022
Model evaluation paper
 | 
05 Oct 2022
Model evaluation paper |  | 05 Oct 2022

A preliminary evaluation of FY-4A visible radiance data assimilation by the WRF (ARW v4.1.1)/DART (Manhattan release v9.8.0)-RTTOV (v12.3) system for a tropical storm case

Yongbo Zhou, Yubao Liu, Zhaoyang Huo, and Yang Li

Data sets

WRF-DART/RTTOV input and (processed) output files for GMD-2022-30 Yongbo Zhou, Yubao Liu, Zhaoyang Huo, and Yang Li https://doi.org/10.5281/zenodo.7028828

NCEP FNL Operational Model Global Tropospheric Analyses, continuing from July 1999 National Centers for Environmental Prediction, National Weather Service, NOAA, and U.S. Department of Commerce https://doi.org/10.5065/D6M043C6

ERA5 hourly data on pressure levels from 1959 to present H. Hersbach, B. Bell, P. Berrisford, G. Biavati, A. Horányi, J. Muñoz Sabater, J. Nicolas, C. Peubey, R. Radu, I. Rozum, D. Schepers, A. Simmons, C. Soci, D. Dee, and J.-N. Thépaut https://doi.org/10.24381/cds.bd0915c6

ERA5 hourly data on single levels from 1959 to present H. Hersbach, B. Bell, P. Berrisford, G. Biavati, A.Horányi, J. Muñoz Sabater, J. Nicolas, C. Peubey, R. Radu, I. Rozum, D. Schepers, A. Simmons, C. Soci, D. Dee, and J.-N. Thépaut https://doi.org/10.24381/cds.adbb2d47

Model code and software

WRF-ARW source code (https://github.com/wrf-model/WRF/archive/refs/tags/v4.1.1.tar.gz) William C. Skamarock, Joseph B. Klemp, Jimy Dudhia, David O. Gill, Dale Barker, Michael G. Duda, Xiang-yu Huang, Wei Wang, and Jordan G. Powers https://doi.org/10.5065/D68S4MVH

DART source code (https://github.com/NCAR/DART/archive/refs/tags/v9.8.0.tar.gz) J. Anderson, T. Hoar, K. Raeder, H. Liu, N. Collins, R. Torn, and A. Avellano https://doi.org/10.1111/j.1600-0870.2008.00361.x

RTTOV source code (https://nwp-saf.eumetsat.int/site/software/rttov/rttov-v12/) Roger Saunders, James Hocking, Emma Turner, Peter Rayer, David Rundle, Pascal Brunel, Jerome Vidot, Pascale Roquet, Marco Matricardi, Alan Geer, Niels Bormann, and Cristina Lupu https://doi.org/10.5194/gmd-11-2717-2018

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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.