Assimilation IASI observation in WRFDA and its impact on typhoon Hongxia

DOI

10.2991/icadme-16.2016.142How to use a DOI?

Keywords

infrared hyper-spectral, IASI, data assimilation, forecast

Abstract

This study evaluates the impact of assimilating Infrared Atmospheric Sounding Interferometer (IASI) radiance observations in the WRFDA system on the numerical weather prediction of typhoon Hongxia (2015). The IASI observations are quantity controlled and variational bias corrected in the assimilation procedure and the RTTOV fast radiative transfer model is applied as the IAS I observation operator. Two groups of assimilation and forecast experiments are conducted. The analysis fields and track forecasts are verified against the real observations. The results show that, compared with the control experiment, assimilating IASI observations has improved the forecast of typhoon Hongxia. The IASI data assimilation reduces the track errors for 72-h forecasts and improves the accuracy of the path forecast.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yi Yu
AU  - Weimin Zhang
AU  - Minhua Ye
AU  - Jing Sun
AU  - Yukuan Zhang
PY  - 2017/07
DA  - 2017/07
TI  - Assimilation IASI observation in WRFDA and its impact on typhoon Hongxia
BT  - Proceedings of the 2016 6th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)
PB  - Atlantis Press
SP  - 793
EP  - 796
SN  - 2352-5401
UR  - https://doi.org/10.2991/icadme-16.2016.142
DO  - 10.2991/icadme-16.2016.142
ID  - Yu2017/07
ER  -