MODELING AND QUANTITATIVE RETRIEVAL OF FINITE FIELD FOR THE TROPICAL SEA SURFACE WIND SPEED OF THE FY-3B MICROWAVE IMAGER

AN Da-wei; LU Feng; DOU Fang-li; ZHANG Peng

Abstract:

The purpose of this study is to select a suitable sea wind retrieval method for FY-3B (MWRI). Based on the traditional empirical model of retrieving sea surface wind speed, and in the case of small sample size of FY-3B satellite load regression analysis, this paper analyzes the channel differences between the FY-3B satellite microwave radiation imager (MWRI) and TMI onboard the TRMM. The paper also analyzes the influence of these differences on the channel in terms of receiving temperature, including channel frequency, sensitivity and scaling precision. Then, the limited range of new model coefficient regression analysis is determined (in which the channel range settings include the information and features of channel differences), the regression methods of the finite field are proposed, and the empirical model of wind speed retrieval applicable to MWRI is obtained, which achieves robust results. Compared to the TAO buoy data, the mean deviation of the new model is 0.4 m/s, and the standard deviation is 1.2 m/s. In addition, the schematic diagram of the tropical sea surface wind speed retrieval is provided.

Get Citation+

AN Da-wei, LU Feng, DOU Fang-li, et al. MODELING AND QUANTITATIVE RETRIEVAL OF FINITE FIELD FOR THE TROPICAL SEA SURFACE WIND SPEED OF THE FY-3B MICROWAVE IMAGER [J]. Journal of Tropical Meteorology, 2015, 21(1): 84-91.

Export:

Article Metrics

MODELING AND QUANTITATIVE RETRIEVAL OF FINITE FIELD FOR THE TROPICAL SEA SURFACE WIND SPEED OF THE FY-3B MICROWAVE IMAGER

National Satellite Meteorological Center, China Meteorological Administration, Beijing 100081 China

Rev Recd Date: 2014-10-29

Abstract: The purpose of this study is to select a suitable sea wind retrieval method for FY-3B (MWRI). Based on the traditional empirical model of retrieving sea surface wind speed, and in the case of small sample size of FY-3B satellite load regression analysis, this paper analyzes the channel differences between the FY-3B satellite microwave radiation imager (MWRI) and TMI onboard the TRMM. The paper also analyzes the influence of these differences on the channel in terms of receiving temperature, including channel frequency, sensitivity and scaling precision. Then, the limited range of new model coefficient regression analysis is determined (in which the channel range settings include the information and features of channel differences), the regression methods of the finite field are proposed, and the empirical model of wind speed retrieval applicable to MWRI is obtained, which achieves robust results. Compared to the TAO buoy data, the mean deviation of the new model is 0.4 m/s, and the standard deviation is 1.2 m/s. In addition, the schematic diagram of the tropical sea surface wind speed retrieval is provided.

HTML

Reference (17)

[1]	ULABY F T, MOORE R K, FUNG A K. Microwave remote sensing: active and passive [M]. Norwood: Artech House, 1986.
[2]	XU Xiang-chun, XIN Ji-wu, LIANG Guo-feng, et al. Observation and analysis of sea surface wind over the Qiongzhou Strait [J]. J Trop Meteorol, 2010, 16(4): 402-408.
[3]	ALSWEISS S O, LAUPATTARAKASEM P, JONES W L. A novel Ku-band radiometer/scatterometer approach for improved oceanic wind vector measurements [J]. IEEE Trans Geos Rem Sens, 2011, 49 (9): 3 189-3 197.
[4]	SINGH R, KUMAR P, PAL P K. Assimilation of Oceansat-2-scatterometer-derived surface winds in the weather research and forecasting model [J]. IEEE Trans Geos Rem Sens, 2012, 50(4): 1 015-1 021.
[5]	WANG Liang, LU Han-cheng, PAN Xiao-bin, et al. Correction of asymmetric strengthening of QuikSCAT wind field and assimilation application in typhoon simulation [J]. J Trop Meteorol, 2009, 15(1): 78-82.
[6]	LI Jiang-nan, WANG An-yu, YANG Zhao-li, et al. DCT analysis distribution features of near-surface wind fields during the landfall of Vongfong [J]. J Trop Meteorol, 2003, 9(2): 143-151.
[7]	LIU Chun-xia, HE Xi-cheng. The analysis on the statistical character of QuikSCAT scatterometer winds and strong wind frequency using remote sensor data from QuikSCAT [J]. J Trop Meteorol, 2003, 9(2): 113-123
[8]	GOODBERLET M A, SWIFT C T, WILKERSON J C. Ocean Surface Wind Speed Measurements of the Special Sensor Microwave/Imager (SSM/I) [J]. IEEE IEEE Trans Geos Rem Sens. 1990, 28(5): 823-828.
[9]	GOODBERLET M A, SWIFT C T. Improved Retrievals from the DMSP Wind Speed Algorithm Under Adverse Weather Conditions [J]. IEEE IEEE Trans Geos Rem Sens, 1992, 30(5): 1 076-1 077.
[10]	CHANG P S, LI Li. Ocean Surface Wind Speed and Direction Retrievals from the SSM/I [J]. IEEE IEEE Trans Geos Rem Sens, 1998, 36(6): 1 866-1 871.
[11]	HWANG P A. Foam and roughness effects on passive microwave remote sensing of the ocean [J]. IEEE IEEE Trans Geos Rem Sens, 2012, 50(8) 2 978-2 985.
[12]	BOBYLEV L P, ZABOLOTSKIKH E V, MITNIK L M, et al. Arctic polar low detection and monitoring using atmospheric water vapor retrievals from satellite passive microwave data [J]. IEEE IEEE Trans Geos Rem Sens, 2011, 49(9): 3 302-3 310.
[13]	WANG Zhen zhan, LI Yun. Geophysical parameters retrieving algorithm of AMSR [J]. J Rem Sens, 2009, 29(4): 355-370.
[14]	LIN Lei, MAO Zhi-hua. The wind speed retrieval by the microwave radiometer (SSMI) five channels data [J]. Chin J Sci Instr, 2008, 29(4): 170-172.
[15]	LI LE-le, GUAN Lei, CHEN Rui. Study on an algorithm for the retrieval of oceanic and atmospheric parameters from satellite microwave radiometer measurements [J]. J Ocean Univ China, 2006, 36(Suppl.): 205-211.
[16]	AN Da-wei, GU Song-yan, YANG Zhong-dong, et al. Ocean surface non-cyclone wind block ambiguity removal algorithm for scatterometer [J]. J Appl Meteorol Sci, 2012, 23(4): 485-492. doi:10.3969/j.issn.1001-7313.2012.04.012
[17]	LAURENCE N C, CHANG P S. Ocean surface wind retrievals using the TRMM microwave imager [J]. IEEE IEEE Trans Geos Rem Sens, 2000, 38(4): 2 009-2 016.

MODELING AND QUANTITATIVE RETRIEVAL OF FINITE FIELD FOR THE TROPICAL SEA SURFACE WIND SPEED OF THE FY-3B MICROWAVE IMAGER

Abstract:

References

Get Citation+

Share Article

Article Metrics

Proportional views

Manuscript History

Online:

通讯作者: 陈斌, bchen63@163.com