CHEN Xingrong, LIU Zenghong, SUN Chaohui, WANG Haiyan. Comparison of TMI and AMSR-E sea surface temperatures with Argo near-surface temperatures over the global oceans[J]. Acta Oceanologica Sinica, 2017, 36(3): 52-59. doi: 10.1007/s13131-017-1040-0
Citation: CHEN Xingrong, LIU Zenghong, SUN Chaohui, WANG Haiyan. Comparison of TMI and AMSR-E sea surface temperatures with Argo near-surface temperatures over the global oceans[J]. Acta Oceanologica Sinica, 2017, 36(3): 52-59. doi: 10.1007/s13131-017-1040-0

Comparison of TMI and AMSR-E sea surface temperatures with Argo near-surface temperatures over the global oceans

doi: 10.1007/s13131-017-1040-0
  • Received Date: 2016-02-26
  • Rev Recd Date: 2016-04-25
  • Satellite-derived sea surface temperatures (SSTs) from the tropical rainfall measuring mission (TRMM) microwave imager (TMI) and the advanced microwave scanning radiometer for the earth observing system (AMSR-E) were compared with non-pumped near-surface temperatures (NSTs) obtained from Argo profiling floats over the global oceans. Factors that might cause temperature differences were examined, including wind speed, columnar water vapor, liquid cloud water, and geographic location. The results show that both TMI and AMSR-E SSTs are highly correlated with the Argo NSTs; however, at low wind speeds, they are on average warmer than the Argo NSTs. The TMI performs slightly better than the AMSR-E at low wind speeds, whereas the TMI SST retrievals might be poorly calibrated at high wind speeds. The temperature differences indicate a warm bias of the TMI/AMSR-E when columnar water vapor is low, which can indicate that neither TMI nor AMSR-E SSTs are well calibrated at high latitudes. The SST in the Kuroshio Extension region has higher variability than in the Kuroshio region. The variability of the temperature difference between the satellite-retrieved SSTs and the Argo NSTs is lower in the Kuroshio Extension during spring. At low wind speeds, neither TMI nor AMSR-E SSTs are well calibrated, although the TMI performs better than the AMSR-E.
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  • Barton I J. 1995. Satellite-derived sea surface temperatures:current status. Journal of Geophysical Research, 100(C5):8777-8790
    Bhaskar T V S U, Rahman S H, Pavan I D, et al. 2009. Comparison of AMSR-E and TMI sea surface temperature with Argo near-surface temperature over the Indian Ocean. International Journal of Remote Sensing, 30(10):2669-2684
    Bhat G S, Vecchi G A, Gadgil S. 2004. Sea surface temperature of the Bay of Bengal derived from the TRMM microwave imager. Journal of Atmospheric and Oceanic Technology, 21(8):1283-1290
    Brisson A, Le Borgne P, Marsouin A. 2002. Results of one year of preoperational production of sea surface temperatures from GOES-8. Journal of Atmospheric and Oceanic Technology, 19(10):1638-1652
    Brown O B, Brown J W, Evans R H. 1985. Calibration of advanced very high resolution radiometer infrared observations. Journal of Geophysical Research, 90(C6):11667-11677
    Curry J A, Bentamy A, Bourassa M A, et al. 2004. Seaflux. Bulletin of the American Meteorological Society, 85(3):409-424
    Deser C, Blackmon M L. 1995. On the relationship between tropical and North Pacific sea surface temperature variations. Journal of Climate, 8(6):1677-1680
    Dong S, Gille S T, Sprintall J, et al. 2006. Validation of the advanced microwave scanning radiometer for the earth observing system (AMSR-E) sea surface temperature in the Southern Ocean. Journal of Geophysical Research, 111(C4):C04002
    Donlon C J, Minnett P J, Gentemann C, et al. 2002. Toward improved validation of satellite sea surface skin temperature measurements for climate research. Journal of Climate, 15(4):353-369
    Donlon C J, Robinson I, Casey K S, et al. 2007. The global ocean data assimilation experiment high-resolution sea surface temperature pilot project. Bulletin of the American Meteorological Society, 88(8):1197-1213
    Emery W J, Yu Y, Wick G A, et al. 1994. Correcting infrared satellite estimates of sea surface temperature for atmospheric water vapor attenuation. Journal of Geophysical Research, 99(C3):5219-5236
    Flament P, Firing J, Sawyer M, et al. 1994. Amplitude and horizontal structure of a large diurnal sea-surface warming event during the coastal ocean dynamics experiment. Journal of Physical Oceanography, 24(1):124-139
    Gentemann C L, Wentz F J. 2001. Satellite microwave SST:accuracy, comparisons to AVHRR and Reynolds SST, and measurement of diurnal thermocline variability. Geoscience and Remote Sensing Symposium, 2001. IGARSS'01. IEEE 2001 International. IEEE, 1:246-248
    Gentemann C L, Donlon C J, Stuart-Menteth A, et al. 2003. Diurnal signals in satellite sea surface temperature measurements. Geophysical Research Letters, 30(3):1140
    Gentemann C L, Wentz F J, Mears C A, et al. 2004. In situ validation of tropical rainfall measuring mission microwave sea surface temperatures. Journal of Geophysical Research, 109(C4):C04021
    Gentemann C L, Minnett P J. 2008. Radiometric measurements of ocean surface thermal variability. Journal of Geophysical Research, 113(C8):C08017
    Gentemann C L, Minnett P J, Le Borgne P, et al. 2008. Multi-satellite measurements of large diurnal warming events. Geophysical Research Letters, 35(22):L22602
    Gille S T. 2012. Diurnal variability of upper ocean temperatures from microwave satellite measurements and Argo profiles. Journal of Geophysical Research:Oceans, 117(C11):C11027
    Guan L, Kawamura H. 2003. SST availabilities of satellite infrared and microwave measurements. Journal of Oceanography, 59(2):201-209
    Hall A, Visbeck M. 2002. Synchronous variability in the southern hemisphere atmosphere, sea ice, and ocean resulting from the annular mode. Journal of Climate, 15(21):3043-3057
    McClain E P. 1989. Global sea surface temperatures and cloud clearing for aerosol optical depth estimates. International Journal of Remote Sensing, 10(4-5):763-769
    McPhaden M J. 1999. Genesis and evolution of the 1997-98 El Niño. Science, 283(5404):950-954
    Merchant C J, Le Borgne P. 2004. Retrieval of sea surface temperature from space, based on modeling of infrared radiative transfer:capabilities and limitations. Journal of Atmospheric and Oceanic Technology, 21(11):1734-1746
    Merchant C J, Filipiak M J, Le Borgne P, et al. 2008. Diurnal warm-layer events in the western Mediterranean and European shelf seas. Geophysical Research Letters, 35(4):L04601
    Miller A J, Cayan D R, Barnett T P, et al. 1994. Interdecadal variability of the Pacific Ocean:model response to observed heat flux and wind stress anomalies. Climate Dynamics, 9(6):287-302
    Muraleedharan P M, Pankajakshan T, Harikrishnan M. 2004. Validation of multi-channel scanning microwave radiometer on-board Oceansat—I. Current Science, 87(3):370-376
    Nonaka M, Xie S. 2003. Covariations of sea surface temperature and wind over the Kuroshio and its extension:evidence for ocean-to-atmosphere feedback. Journal of Climate, 16(9):1404-1413
    Pandey P C, Kniffen S. 1991. Linear retrieval, validation and mapping of the sea surface temperature over western mid-latitude North Pacific using Seasat SMMR data. International Journal of Remote Sensing, 12(12):2493-2511
    Parekh A, Sharma R, Sarkar A. 2007. A comparative assessment of surface wind speed and sea surface temperature over the Indian Ocean by TMI, MSMR, and ERA-40. Journal of Atmospheric and Oceanic Technology, 24(6):1131-1142
    Qiu Bo. 2000. Interannual variability of the Kuroshio extension system and its impact on the wintertime SST field. Journal of Physical Oceanography, 30(6):1486-1502
    Senan R, Anith D S, Sengupta D. 2001. Validation of SST and windspeed from TRMM using North Indian Ocean moored buoy observations. CAOS Report 2001 AS1. Bangalore:Indian Institute of Science and Technology
    Suarez M J, Schopf P S. 1988. A delayed action oscillator for ENSO. Journal of the Atmospheric Sciences, 45(21):3283-3287
    Verdy A, Marshall J, Czaja A. 2006. Sea surface temperature variability along the path of the Antarctic Circumpolar Current. Journal of Physical Oceanography, 36(7):1317-1331
    Wentz F J. 1998. Algorithm theoretical basis document:AMSR ocean algorithm. Technical Report 050198. California:Remote Sensing Systems
    Wentz F J, Meissner T. 1999. AMSR Ocean Algorithm (Version 2). Technical Report 121599a. California:Remote Sensing Systems
    Wentz F J, Gentemann C L, Smith D K, et al. 2000. Satellite measurements of sea surface temperature through clouds. Science, 288(5467):847-850
    Wentz F J, Ashcroft P D, Gentemann C L. 2001. Post-launch calibration of the TRMM microwave imager. IEEE Transactions on Geoscience and Remote Sensing, 39(2):415-422
    Wentz F J, Gentemann J C, Ashcroft P. 2003. On-orbit calibration of AMSR-E and the retrieval of ocean products. California:Remote Sensing Systems
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