FY-3D卫星MWHS-2辐射率资料直接同化对台风“米娜”预报的影响*

doi:10.11978/2021160

Abstract

Abstract:

Based on the module of directly assimilating MWHS-2 (microwave humidity sounder 2) radiance of FY-3D in the WRF (weather research and forecasting) model, this study investigates the influence of assimilating clear-sky MWHS-2 radiance on the forecast of Typhoon Mitag (2019) by using the 3DVar (three dimensional variation) assimilation method. Four experiments are designed. No assimilation is performed in the first one, while only GTS (global telecommunications system) data are used in the second one. Further, the assimilation of both GTS data and MWHS-2 radiance is carried out in the third one. The fourth one replaces MWHS-2 radiance with ATMS (advanced technology microwave sounder) radiance. The results show that the mean differences of all channels between the observation and the background verge to 0 after the bias correction. In addition, compared with the background field, the standard deviation and root mean square error of the analysis field versus the observation decrease significantly after the assimilation, which demonstrates the effectiveness of assimilation. Compared with the experiment only assimilating GTS data and the experiment assimilating ATMS radiance, a negative height increment and a positive temperature increment are observed near the typhoon center after assimilating clear-sky MWHS-2 radiance, which contributes to the maintenance of typhoon from the dynamic and thermal aspects. In the last 12 hours of the deterministic forecast, the experiment assimilating clear-sky MWHS-2 radiance is able to improve the 500 hPa circulation simulation with stronger southwest steering flow, which finally reduces the error of typhoon track forecast.

Key words: Typhoon Mitag, FY-3D satellite, clear-sky MWHS-2 radiance, 3DVar, numerical weather prediction

CLC Number:

P714.2

SHU Aiqing, XU Dongmei, LI Hong, WU Haiying, SHEN Feifei, DEND Hua, BAI Yawen. Assimilating MWHS-2 radiance of FY-3D satellite and its influence on the forecast of Typhoon Mitag*[J].Journal of Tropical Oceanography, 2022, 41(5): 17-28.

Figures/Tables 12

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通道	中心频率/GHz	极化方式	带宽/MHz	频率稳定度/MHz	灵敏度/K	主波束宽度/(°)	主波束效率/%
1	89.0	V	1500	50	1.0	2.0	>92
2	118.75±0.08	H	20	30	3.6	2.0	>92
3	118.75±0.2	H	100	30	2.0	2.0	>92
4	118.75±0.3	H	165	30	1.6	2.0	>92
5	118.75±0.8	H	200	30	1.6	2.0	>92
6	118.75±1.1	H	200	30	1.6	2.0	>92
7	118.75±2.5	H	200	30	1.6	2.0	>92
8	118.75±3.0	H	1000	30	1.0	2.0	>92
9	118.75±5.0	H	2000	30	1.0	2.0	>92
10	150.0	V	1500	50	1.0	1.1	>95
11	183.31±1	H	500	30	1.0	1.1	>95
12	183.31±1.8	H	700	30	1.0	1.1	>95
13	183.31±3	H	1000	30	1.0	1.1	>95
14	183.31±4.5	H	2000	30	1.0	1.1	>95
15	183.31±7	H	2000	30	1.0	1.1	>95

试验名称	同化的资料
CNTL	无
GTS_DA	GTS常规资料
MWHS_DA	GTS常规资料和MWHS-2辐射率资料
ATMS_DA	GTS常规资料和ATMS辐射率资料

Assimilating MWHS-2 radiance of FY-3D satellite and its influence on the forecast of Typhoon Mitag*

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[2]	Peini QI, Feifei SHEN, Leilei KOU, Zhigang CHU, Dongmei XU. Experiments of assimilating Doppler radar data in forecast of Typhoon Chanthu [J]. Journal of Tropical Oceanography, 2019, 38(2): 20-31.
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