Assessment of the initial sea surface temperature product of the scanning microwave radiometer aboard on HY-2 satellite

ZHAO Yili; ZHU Jianhua; LIN Mingsen; CHEN Chuntao; HUANG Xiaoqi; WANG He; ZHANG Youguang; PENG Hailong

doi:10.1007/s13131-014-0402-0

Article Contents

Article Navigation > Acta Oceanologica Sinica > 2014 > 33(1): 109-113

ZHAO Yili, ZHU Jianhua, LIN Mingsen, CHEN Chuntao, HUANG Xiaoqi, WANG He, ZHANG Youguang, PENG Hailong. Assessment of the initial sea surface temperature product of the scanning microwave radiometer aboard on HY-2 satellite[J]. Acta Oceanologica Sinica, 2014, 33(1): 109-113. doi: 10.1007/s13131-014-0402-0

Citation:

ZHAO Yili, ZHU Jianhua, LIN Mingsen, CHEN Chuntao, HUANG Xiaoqi, WANG He, ZHANG Youguang, PENG Hailong. Assessment of the initial sea surface temperature product of the scanning microwave radiometer aboard on HY-2 satellite[J]. Acta Oceanologica Sinica, 2014, 33(1): 109-113. doi: 10.1007/s13131-014-0402-0

Citation:

ZHAO Yili, ZHU Jianhua, LIN Mingsen, CHEN Chuntao, HUANG Xiaoqi, WANG He, ZHANG Youguang, PENG Hailong. Assessment of the initial sea surface temperature product of the scanning microwave radiometer aboard on HY-2 satellite[J]. Acta Oceanologica Sinica, 2014, 33(1): 109-113. doi: 10.1007/s13131-014-0402-0

PDF( 1654 KB)

Assessment of the initial sea surface temperature product of the scanning microwave radiometer aboard on HY-2 satellite

doi: 10.1007/s13131-014-0402-0

1.
National Ocean Technology Center, State Oceanic Administration, Tianjin 300111, China
2.
National Satellite Ocean Application Service, State Oceanic Administration, Beijing 100081, China

Received Date: 2012-08-26
Rev Recd Date: 2013-01-18

Abstract

Abstract

HY-2 satellite is the first satellite for dynamic environmental parameters measurement of China, which was launched on 16th August 2011. A scanning microwave radiometer (RM) is carried for sea surface temperature (SST), sea surface wind speed, columnar water vapor and columnar cloud liquid water detection. In this paper, the initial SST product of RM was validated with in-situ data of National Data of Buoy Center (NDBC)mooring and Argo buoy. The validation results indicate the accuracy of RMSST is better than 1.7℃. The comparison of RM SST and WindSat SST shows the former is warmer than the latter at high sea surface wind speed and the difference between these SSTs is depend on the sea surface wind speed. Then, the relationship between the errors of RM SST and sea surface wind speed was analyzed using NDBC mooring measurements. Based on the results of assessment and errors analysis, the suggestions of taking account of the affection of sea surface wind speed and using sea surface wind speed and direction derived from the microwave scatteromter aboard on HY-2 for SST product calibration were given for retrieval algorithm improvement.
- validation,
- sea surface temperature,
- HY-2 satellite,
- microwave radiometer

FullText(HTML)

References(12)

References

Gaiser P W, Germain K M St, Twarog E M, et al. 2004. The Wind Satspaceborne polarimetric microwave radiometer: sensor descriptionand early orbit performance. IEEE Trans Geosci RemoteSens, 42(11): 2347-2361

Gentemann C L,Wentz F J, Mears C A, et al. 2004. In situ validation oftropical rainfall measuring missionmicrowave sea surface temperatures.J Geophys Res, 109(C4), doi: 10.1029/2003JC002092

Jones MS, Saunders MA, Guymer T H. 1996, Reducing cloud contaminationin ATSR averaged sea surface temperature data. J AtmosOceanic Technol, 13: 492-506

Jiang Xingwei, LinMingsen, Liu Jianqiang, et al. 2012. The HY-2 satelliteand its preliminary assessment. International Journal ofDigital Earth, 5(3): 266-281

Latif M, Roeckner E, Botzet M, et al. 2004. Reconstructing, monitoring,and predicting multidecadal-scale changes in the NorthAtlantic thermohaline circulation with sea surface temperature.J Clim, 17: 1605-1614

Merchant C J, Borgne P L. 2004. Retrieval of sea surface temperaturefrom space, based on modeling of infrared radiative transfer:capabilities and limitations. J Atmos Oceanic Technol, 21: 1734-1746

O'Carroll A G, Eyre J R, Saunders R W. 2008. Three-way error analysisbetween AATSR, AMSR-E, and in situ sea surface temperatureobservations. J Atmos Oceanic Technol, 25: 1197-1207

PukelsheimF. 1994. The three sigma rule. Amer Stat, 48: 88-91

Sutton R T, Hodson D L R. 2003. Influence of the ocean on North Atlanticclimate variability 1871-1999. J Clim, 6: 3296-3313

Wentz F J. 1992. Measurement of oceanic wind vector using satellitemicrowave radiometers. IEEE Trans Geosci Remote Sens, 30(5):960-972

Wentz F J, Gentemann C. 2000. Satellite measurements of sea-surfacetemperature through clouds. Science, 288: 847-850

Xie S, Annamalai H, Schott F A, et al. 2002. Structure andmechanismsof south Indian Ocean climate variability. J Clim, 15: 864-878

Relative Articles

Supplements(0)

Cited By

Proportional views