Impact of FY-3A MWTS radiances on prediction in GRAPES with comparison of two quality control schemes

Juan LI , Xiaolei ZOU

Front. Earth Sci. ›› 2014, Vol. 8 ›› Issue (2) : 251 -263.

PDF (1357KB)
Front. Earth Sci. ›› 2014, Vol. 8 ›› Issue (2) : 251 -263. DOI: 10.1007/s11707-014-0405-3
RESEARCH ARTICLE
RESEARCH ARTICLE

Impact of FY-3A MWTS radiances on prediction in GRAPES with comparison of two quality control schemes

Author information +
History +
PDF (1357KB)

Abstract

The impact of Microwave Temperature Sounder (MWTS) radiances on the prediction of the Chinese Numerical Weather prediction (NWP) system-GRAPES (Global and Regional Assimilation and PrEdiction System) with comparison of two Quality Control (QC) schemes was researched. The main differences between the two schemes are cloud detection, O–B (brightness temperature difference between observation and model simulation) check and thinning. To evaluate the impact of the two QC schemes on GRAPES, a typhoon case study and cycle experiments were conducted. In the typhoon case study, two experiments were conducted using both the new and old QC schemes. The results show that outliers are removed in the new QC while they exist in the old QC. The analysis and the model forecast are subsequently generated after assimilating data from the two QC schemes. The model-predicted steering flows more southward with the new QC scheme, and as a result, the forecast track in the experiments is more southward, i.e., closer to the best track than the old scheme. In addition to the case study, four impact cycle experiments were conducted for 25-day periods. The results show that the new QC scheme removed nearly all the biases whereas the old scheme could not. Furthermore, the mean and standard deviation of analysis increments with the new scheme is much smaller than those of O–B. In contrast, the old scheme values are either slightly smaller or the same. Verifications indicate that forecast skill is improved after applying the new scheme. The largest improvements are found in the Southern Hemisphere. According to the results above, MWTS with the new QC scheme can improve the GRAPES forecast.

Keywords

FY-3 / MWTS / typhoon / GRAPES

Cite this article

Download citation ▾
Juan LI, Xiaolei ZOU. Impact of FY-3A MWTS radiances on prediction in GRAPES with comparison of two quality control schemes. Front. Earth Sci., 2014, 8(2): 251-263 DOI:10.1007/s11707-014-0405-3

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

AhnM H, KimM J, ChungC Y, SuhA S (2003). Operational implementation of the ATOVS processing procedure in KMA and its validation. Adv Atmos Sci, 20(3): 398–414

[2]

BakerN L, DaleyR (2000). Observation and background adjoint sensitivity in the adaptive observation-targeting problem. Q J R Meteorol Soc, 126(565): 1431–1454

[3]

BouttierF, KellyG (2001). Observing-system experiments in the ECMWF 4D-Var data assimilation system. Q J R Meteorol Soc, 127(574): 1469–1488

[4]

CardinaliC (2009). Monitoring observation impact on short-range forecast. Q J R Meteorol Soc, 135(638): 239–250

[5]

CarrL E, ElsberryR L (1990). Observational evidence for predictions of tropical cyclone propagation relative to environmental steering. J Atmos Sci, 47(4): 542–548

[6]

ChenD H, XueJ S, YangX S, ZhangH L, ShenX S, HuJ L, WangY, JiL R, ChenJ B (2008). New generation of multi-scale NWP system (GRAPES): general scientific design. Chin Sci Bull, 53(22): 3433–3445

[7]

DerberJ C, WuW S (1998). The use of TOVS cloud-cleared radiances in the NCEP SSI analysis system. Mon Weather Rev, 126(8): 2287–2299

[8]

DongC H, YangJ, YangZ D, LuN M, ShiJ M, ZhangP, LiuY J, CaiB, ZhangW (2009). An overview of a new Chinese weather satellite FY-3A. Bull Am Meteorol Soc, 90(10): 1531–1544

[9]

FourriéN, DoerenbecherA, BergotT, JolyA (2002). Adjoint sensitivity of the forecast to TOVS observations. Q J R Meteorol Soc, 128(586): 2759–2777

[10]

KuriharaY, BenderM A, RossR J (1993). An initialization scheme of typhoon Models by vortex specification. Mon Weather Rev, 121(7): 2030–2045

[11]

LanglandR H, BakerA L (2004). Estimation of observation impact using the NRL atmospheric variational data assimilation adjoint system. Tellus, Ser A, Dyn Meterol Oceanogr, 56(3): 189–201

[12]

LansanteJ R (1996). Resistant, robust and non-parametric techniques for the analysis of climate data: theory and examples, including applications to historical radiosonde station data. Int J Climatol, 16(11): 1197–1226

[13]

LiJ, ZouX (2013). A Quality Control Procedure for FY-3A MWTS Measurements with Emphasis on Cloud Detection Using VIRR Cloud Fraction. J Atmos Ocean Technol, 30: 1704–1715

[14]

LuQ, BellW, BauerP, BormannN, PeubeyC (2010). An Initial Evaluation of FY-3A Satellite Data. ECMWF Technical Memoranda No.631, ECMWF, Shinfield Park, Reading, UK, ECMWF, 58

[15]

MathurM B (1991). The National Meteorological Center’s Quasi-Lagrangian Model for hurricane prediction. Mon Weather Rev, 119(6): 1419–1447

[16]

McNallyA P, DerberJ C, WuW, KatzB B (2000). The use of TOVS level-1b radiances in the NCEP SSI analysis system. Q J R Meteorol Soc, 126(563): 689–724

[17]

OkamotoK, KazumoriM, OwadaH (2005). The assimilation of ATOVS radiances in the JMA global analysis system. J Meteorol Soc Jpn, 83(2): 201–217

[18]

RSMC Tokyo-Typhoon Center (2012). Summary of the 2011 typhoon season. Forty forth session, Hangzhou, China, ESCAP/WMO Typhoon Committee

[19]

VeldenC S, LeslieL M (1991). The basic relationship between tropical cyclone intensity and the depth of the environmental steering layer in the Australian region. Wea Forecasting, 6: 244–253

[20]

WangG M, WangS W, LiuJ J (1996). A bogus typhoon scheme and its application to a movable nested mesh model. Journal of Tropical Meteorology, 12(1): 9–17 (in Chinese)

[21]

WangX, ZouX L, Weng F Z, You R (2012). Using NWP models to remove frequency shift induced bias in FY-3A MWTS measurements. IEEE Trans Geosci Rem Sens, 50(12): 4860–4874

[22]

WengF, GrodyN C (1994). Retrieval of cloud liquid water using special sensor microwave imager (SSM/I). J Geophys Res, 99(D12): 25535–25551

[23]

WuY H, ZouX (2008). Test of a simple approach for using TOMS total ozone data in hurricane environment. Q J R Meteorol Soc, 134(635): 1397–1408

[24]

XueJ S, ZhuangS Y, ZhuG F, ZhangH, LiuZ Q, LiuY, ZhuangZ R (2008). Scientific design and preliminary results of three-dimensional variational data assimilation system of GRAPES. Chin Sci Bull, 53(22): 3446–3457

[25]

YangJ, DongC H, LuN M, YangZ D, ShiJ M, ZhangP, LiuY J, CaiB (2009). FY-3A: the new generation polar-orbiting meteorological satellite of China. Acta Meteorologica Sinica, 67(4): 501–509 (in Chinese)

[26]

YouR, GuS Y, GuoY, WuX B, YangH, ChenW X (2012). Long-term calibration and accuracy assessment of the FengYun-3 Microwave Temperature Sounder radiance measurements. IEEE Trans Geosci Rem Sens, 50(12): 4854–4859

[27]

ZhangP, YangJ, DongC H, LuN M, YangZ D, ShiJ M (2009). General introduction on payloads, ground segment and data application of Fengyun 3A. Frontiers of Earth Science, 3(3): 367–373

[28]

ZouX, WangX, WengF, LiG (2011). Assessments of Chinese FengYun Microwave Temperature Sounder (MWTS) measurements for weather and climate applications. J Atmos Ocean Technol, 28(10): 1206–1227

[29]

ZouX, ZengZ (2006). A quality control procedure for GPS radio occultation data. J Geophys Res, 111(D2): D02112

RIGHTS & PERMISSIONS

Higher Education Press and Springer-Verlag Berlin Heidelberg

AI Summary AI Mindmap
PDF (1357KB)

1280

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/