A Comparison of the Impact of QuikScat and WindSat Wind Vector Products on Met Office Analyses and Forecasts

被引:31
作者
Candy, Brett [1 ]
English, Stephen J. [1 ]
Keogh, Simon J. [1 ]
机构
[1] Met Off, Exeter EX1 3PB, Devon, England
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2009年 / 47卷 / 06期
关键词
Assimilation; QuikScat; weather forecasting; WindSat; ASSIMILATION; RADIOMETER; DIRECTION;
D O I
10.1109/TGRS.2008.2009993
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Several studies have demonstrated that retrievals of wind vectors from the WindSat polarimetric radiometer are of sufficient quality to be considered for assimilation in operational numerical weather prediction models. In this paper, WindSat data are used in a state-of-the-art global meteorological analysis and forecasting system. Each wind vector contains a directional ambiguity and so is assimilated in a similar way to that of scatterometer data. The forecast impact of using analyses containing information from WindSat data was investigated for a period during August and September of 2005, when a large number of tropical cyclones were present. Forecast errors were reduced in the surface pressure fields, and the average improvement across the forecast range was found to be 1.0%. This is comparable to the improvement of 1.1% found in the same fields when winds were assimilated from the QuikScat scatterometer. The impact on tropical cyclone tracks in the forecasts was also studied. The scatterometer improved (reduced) the track errors markedly by 25% in the analyses. When impacts across the forecast range out to five days were also included, the improvement was found to be 8%. In contrast, the assimilation of WindSat data improved the analysis track errors by 7%, although this figure was found to be 10% across the complete forecast range.
引用
收藏
页码:1632 / 1640
页数:9
相关论文
共 29 条
[1]  
ABDALLA S, 2004, ESA CONTRACT REPORT
[2]   A nonlinear optimization algorithm for WindSat wind-vector retrievals [J].
Bettenhausen, MH ;
Smith, CK ;
Bevilacqua, RM ;
Wang, NY ;
Gaiser, PW ;
Cox, S .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2006, 44 (03) :597-610
[3]  
CANDY B, 2006, 493 NWP MET OFF
[4]  
CANDY B, 2001, 349 NWP MET OFF
[5]  
CANDY B, 2002, THESIS U READING REA
[6]   An evaluation of the potential of polarimetric radiometry for numerical weather prediction using QuikSCAT [J].
English, SJ ;
Candy, B ;
Jupp, A ;
Bebbington, D ;
Smith, S ;
Holt, A .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2006, 44 (03) :668-675
[7]   On the assimilation of Ku-band scatterometer winds for weather analysis and forecasting [J].
Figa, J ;
Stoffelen, A .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2000, 38 (04) :1893-1902
[8]   The advanced scatterometer (ASCAT) on the meteorological operational (MetOp) platform:: A follow on for European wind scatterometers [J].
Figa-Saldaña, J ;
Wilson, JJW ;
Attema, E ;
Gelsthorpe, R ;
Drinkwater, MR ;
Stoffelen, A .
CANADIAN JOURNAL OF REMOTE SENSING, 2002, 28 (03) :404-412
[9]   The WindSat spaceborne polarimetric microwave radiometer: Sensor description and early orbit performance [J].
Gaiser, PW ;
St Germain, KM ;
Twarog, EM ;
Poe, GA ;
Purdy, W ;
Richardson, D ;
Grossman, W ;
Jones, WL ;
Spencer, D ;
Golba, G ;
Cleveland, J ;
Choy, L ;
Bevilacqua, RM ;
Chang, PS .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2004, 42 (11) :2347-2361
[10]  
Heming J.T., 1995, METEOROL APPL, DOI DOI 10.1002/MET.5060020211