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

Tab. 1

Fig. 1

Fig. 2

Tab. 2

Fig. 3

Fig. 4

Fig. 5

Fig. 6

Fig. 7

Fig. 8

Fig. 9

Fig. 10

References 41

[1]	范娇, 2019. FY-3C微波湿度计资料在西南涡降水预报中的同化研究[D]. 成都: 成都信息工程大学:17-29.
	FAN JIAO, 2019. Assimilation of FY-3C microwave humidity sounder data in southwest vortex precipitation forecast[D]. Chengdu: Chengdu University of Information Technology: 17-29. (in Chinese with English abstract)
[2]	蒋璐璐, 涂小萍, 王毅, 等, 2021. “米娜”(1918)台风浪特征及其与“利奇马”(1909)的差异[J]. 海洋预报, 38(4): 53-60.
	JIANG LULU, XU XIAOPING, WANG YI, et al, 2021. Characteristics of typhoon-induced wave by Mitag (1918) and their differences with that induced by typhoon Lekima (1909)[J]. Marine Forecasts, 38(4): 53-60. (in Chinese with English abstract)
[3]	蒋璐西, 陈科艺, 陈林琳, 2019. MWHS/FY-3资料同化在四川盆地暴雨预报中的应用研究[J]. 高原山地气象研究, 39(4): 9-15.
	JIANG LUXI, CHEN KEYI, CHEN LINLIN, 2019. The study of assimilating MWHS/FY-3 data in the rainstorm cases in Sichuan Basin[J]. Plateau and Mountain Meteorology Research, 39(4): 9-15. (in Chinese with English abstract)
[4]	刘贝, 卢绍宗, 钱钰坤, 等, 2014. ATOVS亮温资料同化在台风数值模拟中的应用[J]. 热带海洋学报, 33(1): 44-53.
	LIU BEI, LU SHAOZONG, QIAN YUKUN, et al, 2014. An application of ATOVS radiance in data assimilation of typhoon[J]. Journal of Tropical Oceanography, 33(1): 44-53. (in Chinese with English abstract) doi: 10.11978/j.issn.1009-5470.2014.01.006
[5]	刘淑贤, 2021. FY3C MWHS-2的陆地降水检测算法研究及其在LAPS-WRF同化系统中的应用[D]. 南京: 南京信息工程大学:26-57.
	LIU SHUXIAN, 2021. Precipitation detection algorithm over land for FY3C MWHS-2 and its application in LAPS-WRF assimilation system[D]. Nanjing: Nanjing University of Information Science & Technology: 26-57. (in Chinese with English abstract)
[6]	马刚, 王云峰, 张晓辉, 等, 2017. 基于梯度信息的微波辐射亮温资料质量控制方法[J]. 热带海洋学报, 36(2): 86-95. doi: 10.11978/2016049
	MA GANG, WANG YUNFENG, ZHANG XIAOHUI, et al, 2017. A quality control method based on gradient information of microwave radiation data AMSU-A[J]. Journal of Tropical Oceanography, 36(2): 86-95. (in Chinese with English abstract) doi: 10.11978/2016049
[7]	戚佩霓, 沈菲菲, 寇蕾蕾, 等, 2019. 多普勒雷达资料同化在台风“灿都”(2010)预报中的应用研究[J]. 热带海洋学报, 38(2): 20-31. doi: 10.11978/2018055
	QI PEINI, SHEN FEIFEI, KOU LEILEI, et al, 2019. Experiments of assimilating Doppler radar data in forecast of Typhoon Chanthu[J]. Journal of Tropical Oceanography, 38(2): 20-31. (in Chinese with English abstract) doi: 10.11978/2018055
[8]	沈菲菲, 闵锦忠, 许冬梅, 等, 2016. 双多普勒雷达资料同化在飓风“艾克”预报中的应用研究[J]. 海洋学报, 38(11): 60-72.
	SHEN FEIFEI, MIN JINZHONG, XU DONGMEI, et al, 2016. Application of assimilating Dual Doppler radar data in forecast of Hurricane Ike[J]. Haiyang Xuebao, 38(11): 60-72. (in Chinese with English abstract)
[9]	沈菲菲, 许冬梅, 闵锦忠, 等, 2018. 云尺度雷达资料的混合同化对台风“桑美”的数值模拟研究[J]. 海洋学报, 40(5): 48-61.
	SHEN FEIFEI, XU DONGMEI, MIN JINZHONG, et al, 2018. Assimilation of radar observations with En3DVAR at cloud-resolving scale for the prediction of Typhoon Saomai[J]. Haiyang Xuebao, 40(5): 48-61. (in Chinese with English abstract)
[10]	吴应昂, 2015. FY-3C卫星微波辐射资料同化应用研究[D]. 长沙: 国防科学技术大学:32-58.
	WU YING’ANG, 2015. A study on application of assimilation of FY-3C satellite microwave radiance data[D]. Changsha: National University of Defense Technology: 32-58. (in Chinese with English abstract)
[11]	冼智鹏, 2019. FY-3C微波观测资料的全天候同化技术及其在台风预报中的应用[D]. 成都: 成都信息工程大学:22-35.
	XIAN ZHIPENG, 2019. All-sky assimilation of FY-3C microwave observations and its application in typhoon forecast[D]. Chengdu: Chengdu University of Information Technology: 22-35. (in Chinese with English abstract)
[12]	肖贤俊, 何娜, 张祖强, 等, 2011. 卫星遥感海表温度资料和高度计资料的变分同化[J]. 热带海洋学报, 30(3): 1-8.
	XIAO XIANJUN, HE NA, ZHANG ZUQIANG, et al, 2011. Variation assimilation using satellite data of sea surface temperature and altimeter[J]. Journal of Tropical Oceanography, 30(3): 1-8. (in Chinese with English abstract) doi: 10.11978/j.issn.1009-5470.2011.03.001
[13]	许冬梅, 沈菲菲, 李泓, 等, 2022. 新一代静止气象卫星葵花8号的晴空红外辐射率资料同化对台风“天鸽”的预报影响研究[J]. 海洋学报, 44(3): 40-52.
	XU DONGMEI, SHEN FEIFEI, LI HONG, et al, 2022. The impact of assimilation of Himawari-8 clear-sky data from the new generation geostationary meteorological satellite on the forecast of super Typhoon Hato[J]. Haiyang Xuebao, 44(3): 40-52. (in Chinese with English abstract)
[14]	朱利剑, 2018. FY-3C微波湿度计资料在GRAPES-GFS模式中的同化应用[D]. 南京: 南京信息工程大学:14-20.
	ZHU LIJIAN, 2018. Assimilation application for FY-3C microware humidity sounder Ⅱ in GRAPES-GFS model[D]. Nanjing: Nanjing University of Information Science and Technology: 14-20. (in Chinese with English abstract)
[15]	BAUER P, MOREAU E, CHEVALLIER F, et al, 2006. Multiple- scattering microwave radiative transfer for data assimilation applications[J]. Quarterly Journal of the Royal Meteorological Society, 132(617): 1259-1281. doi: 10.1256/qj.05.153
[16]	BAUER P, GEER A J, LOPEZ P, et al, 2010. Direct 4D-Var assimilation of all-sky radiances. Part Ⅰ: implementation[J]. Quarterly Journal of the Royal Meteorological Society, 136(652): 1868-1885. doi: 10.1002/qj.659
[17]	CHEN KEYI, ENGLISH S, BORMANN N, et al, 2015. Assessment of FY-3A and FY-3B MWHS observations[J]. Weather and Forecasting, 30(5): 1280-1290. doi: 10.1175/WAF-D-15-0025.1
[18]	CHOU M D, SUAREZ M J, 1994. An efficient thermal infrared radiation parameterization for use in general circulation models[R]. Greenbelt: NASA Technical Memorandum.
[19]	GRELL G A, FREITAS S R, 2014. A scale and aerosol aware stochastic convective parameterization for weather and air quality modeling[J]. Atmospheric Chemistry and Physics, 14(10): 5233-5250.
[20]	HARRIS B A, KELLY G, 2001. A satellite radiance-bias correction scheme for data assimilation[J]. Quarterly Journal of the Royal Meteorological Society, 127(574): 1453-1468. doi: 10.1002/qj.49712757418
[21]	HONG SONGYOU, NOH Y, DUDHIA J, 2006. A new vertical diffusion package with an explicit treatment of entrainment processes[J]. Monthly Weather Review, 134(9): 2318-2341. doi: 10.1175/MWR3199.1
[22]	KIM Y J, CAMPBELL W F, SWADLEY S D, 2010. Reduction of middle-atmospheric forecast bias through improvement in satellite radiance quality control[J]. Weather and Forecasting, 25(2): 681-700. doi: 10.1175/2009WAF2222329.1
[23]	LAWRENCE H, BORMANN N, LU QIFENG, et al, 2015. An evaluation of FY-3C MWHS-2 at ECMWF[R]. Shinfield Park, Reading: EUMETSAT/ECMWF: 1-20.
[24]	LI HAORUI, DING WEIYU, XUE JISHAN, et al, 2015. A study on the application of FY-2E cloud drift wind height reassignment in numerical forecast of typhoon Chanthu (1003) track[J]. Journal of Tropical Meteorology, 21(1): 34-42.
[25]	LU QIFENG, 2011. Initial evaluation and assimilation of FY-3A atmospheric sounding data in the ECMWF System[J]. Science China Earth Sciences, 54(10): 1453-1457. doi: 10.1007/s11430-011-4243-9
[26]	LU QIFENG, BELL W, BAUER P, et al, 2011. Characterizing the FY-3A microwave temperature sounder using the ECMWF model[J]. Journal of Atmospheric and Oceanic Technology, 28(11): 1373-1389. doi: 10.1175/JTECH-D-10-05008.1
[27]	LU XIAOQIN, YU HUI, YING MING, et al, 2021. Western North Pacific tropical cyclone database created by the China Meteorological Administration[J]. Advances in Atmospheric Sciences, 38(4): 690-699. doi: 10.1007/s00376-020-0211-7
[28]	MLAWER E J, TAUBMAN S J, BROWN P D, 1997. Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave[J]. Journal of Geophysical Research: Atmospheres, 102(D14): 16663-16682. doi: 10.1029/97JD00237
[29]	NIU ZEYI, ZHANG LEI, DONG PEIMING, et al, 2021. Impact of assimilating FY-3D MWTS-2 upper air sounding data on forecasting typhoon lekima (2019)[J]. Remote Sensing, 13(9): 1841. doi: 10.3390/rs13091841
[30]	PAN YUJIE, WANG MINGJUN, 2019. Impact of the assimilation frequency of radar data with the ARPS 3DVar and cloud analysis system on forecasts of a squall line in southern China[J]. Advances in Atmospheric Sciences, 36(2): 160-172. doi: 10.1007/s00376-018-8087-5
[31]	PARRISH D F, DERBER J C, 1992. The national meteorological center’s spectral statistical-interpolation analysis system[J]. Monthly Weather Review, 120(8): 1747-1763. doi: 10.1175/1520-0493(1992)120<1747:TNMCSS>2.0.CO;2
[32]	PU ZHAOXIA, YU C, TALLAPRAGADA V, 2019. The impact of assimilation of GPM microwave imager clear-sky radiance on numerical simulations of Hurricanes Joaquin (2015) and Matthew (2016) with the HWRF model[J]. Monthly Weather Review, 147(1): 175-198. doi: 10.1175/MWR-D-17-0200.1
[33]	SHEN FEIFEI, XUE MING, MIN JINZHONG, 2017. A comparison of limited-area 3DVAR and ETKF - En3DVAR data assimilation using radar observations at convective scale for the prediction of Typhoon Saomai (2006)[J]. Meteorological Applications, 24(4): 628-641. doi: 10.1002/met.1663
[34]	SHEN FEIFEI, XU DONGMEI, LI HONG, et al, 2021. Impact of radar data assimilation on a squall line over the Yangtze- Huaihe River Basin with a radar reflectivity operator accounting for ice-phase hydrometeors[J]. Meteorological Applications, 28(2): e1967.
[35]	THOMPSON G, FIELD P R, RASMUSSEN R M, et al, 2008. Explicit forecasts of winter precipitation using an improved bulk microphysics scheme. Part Ⅱ: implementation of a new snow parameterization[J]. Monthly Weather Review, 136(12): 5095-5115. doi: 10.1175/2008MWR2387.1
[36]	XIAN ZHIPENG, CHEN KEYI, ZHU JIANG, 2019. All-sky assimilation of the MWHS-2 observations and evaluation the impacts on the analyses and forecasts of binary typhoons[J]. Journal of Geophysical Research: Atmospheres, 124(12): 6359-6378. doi: 10.1029/2018JD029658
[37]	XU DONGMEI, AULIGNE T, DESCOMBES G, et al, 2016a. A method for retrieving clouds with satellite infrared radiances using the particle filter[J]. Geoscientific Model Development, 9(11): 3919-3932. doi: 10.5194/gmd-9-3919-2016
[38]	XU DONGMEI, MIN JINZHONG, SHEN FEIFEI, et al, 2016b. Assimilation of MWHS radiance data from the FY-3B satellite with the WRF Hybrid-3DVAR system for the forecasting of binary typhoons[J]. Journal of Advances in Modeling Earth Systems, 8(2): 1014-1028. doi: 10.1002/2016MS000674
[39]	ZHANG PENG, CHEN LIN, XIAN DI, et al, 2018. Recent progress of Fengyun meteorology satellites[J]. Chinese Journal of Space Science, 38(5): 788-796.
[40]	ZHU LEI, WAN QILIN, SHEN XINYONG, et al, 2016a. Prediction and predictability of high-impact western pacific landfalling tropical cyclone Vicente (2012) through convection-permitting ensemble assimilation of Doppler radar velocity[J]. Monthly Weather Review, 144(1): 21-43. doi: 10.1175/MWR-D-14-00403.1
[41]	ZHU YANQIU, LIU E, MAHAJAN R, et al, 2016b. All-sky microwave radiance assimilation in NCEP’s GSI analysis system[J]. Monthly Weather Review, 144(12): 4709-4735. doi: 10.1175/MWR-D-15-0445.1

Metrics

Viewed

Full text

857

HTML			PDF

Just accepted	Online first	Issue	Just accepted	Online first	Issue
0	0	411	82	0	364

From	Others	local

Times	194	663
Rate	23%	77%

Abstract

670

Just accepted	Online first	Issue

17	0	653

From	Others	local

Times	102	568
Rate	15%	85%

Cited

Web of Science	Crossref	ScienceDirect	Search for Citations in Google Scholar >>


This page requires you have already subscribed to WoS.

Shared

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*

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 12

References 41

Related Articles 3

Metrics

Comments

Recommended 0

[1]	YAO Changkun, WEI Kun. Construction and ideal experimental verification of hybrid data assimilation method based on particle filter and 3Dvar [J]. Journal of Tropical Oceanography, 2024, 43(1): 56-63.
[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.
[3]	XIAO Xian-jun,HE Na ,ZHANG Zu-qiang,LIU Huai-ming,WANG Dong-xiao . Variation assimilation using satellite data of sea surface temperature and altimeter [J]. Journal of Tropical Oceanography, 2011, 30(3): 1-8.