Abstract
Multi-channel sea surface temperature (MCSST) data were retrieved from the Japanese geostationary satellite, MTSAT-1R, for East Asia in western North Pacific. The coefficients used to calculate the MCSST data were estimated by assuming a linear relationship between the brightness temperatures obtained from the satellite and the in-situ buoy SST. It is important to remove cloud contamination pixels to retrieve meaningful information from infrared data. Therefore, the cloud detection algorithm was improved by using a 10-day maximum or minimum composite map for infrared and visible channels. The RMSE of the MCSST in comparison with the two-year buoy SST was about 0.89oC. The error was the largest at mid-latitudes in summer. Additionally, the error between the two SSTs showed that diurnal variation had a positive bias during daytime and a negative bias during nighttime. Furthermore, in 2007, both SSTs showed seasonal and spatial diurnal variation. The magnitude of the daily variation in the MCSST was two times larger than that in the buoy SST, and this was attributed to diurnal heating with a weak surface wind speed.
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Ahn, M. H., B. J. Hwang, E. H. Son, M. J. Kim, and A. S. Suh, 2001: Derivation of Sea Surface Temperature from GMS-5 for the High Resolution Numerical Weather Prediction Models. Korean J. Atmos. Sci., 4, 41–56.
Dozier, J., and Z. Wan, 1994: Development of Practical Multiband Algorithms for Estimating Land-surface Temperature from EOS/MODIS Data. Adv. Space Res., 14, 81–90.
Gentemann, C. L., G. J. Donlon, A. Stuart-Menteth, and F. J. Wentz, 2003: Diurnal signals in satellite sea surface temperature measurements. Geophys. Res. Lett., 30, 1140, doi:10.1029/2002GL016291.
Guan, L., and H. Kawamura, 2003: SST Availability of Satellite Infrared and Microwave Measurements. J. Oceanogr., 59, 201–209.
Guo, P., and Y. Bo, 2008: Validation of AVHRR/MODIS/AMSR-E Satellite SST Products in the West Tropical Pacific. Preprints, 28th Int. Geoscience and Remote Sensing Symp., 4, Boston, USA, IEEE Geoscience and Remote Sens. Soc., 942–945.
Hurrell, J. W., and K. E. Trenberth, 1999: Global Sea Surface Temperature Analyses: Multiple Problems and Their Implications for Climate Analysis, Modeling, and Reanalysis. Bull. Amer. Meteor. Soc., 80, 2661–2678.
Kawai, Y., and H. Kawamura, 2002: Evaluation of the Diurnal Warming of Sea Surface Temperature Using Satellite-Derived Marine Meteorological Data. J. Oceanogr., 58, 805–814.
____, and ______, 2003: Validation of Daily Amplitude of Sea Surface Temperature Evaluated with a Parametric Model Using Satellite Data. J. Oceanogr., 59, 637–644.
Kawamura H., H. Qin, and K. Ando, 2008: In-situ Diurnal Sea Surface Temperautre Variations and Near-Surface Thermal Structure in the Tropical Hot Event of the Indo-Pacific Warm Pool, J. Oceanogr., 64, 847–857.
____, _____, F. Sakaida, and R. Y. Sentiawan, 2010a: Hourly Sea Surface Temperature Retrieval Using the Japanese Geostationary Satellite, Multi-Functional Transport Satellite (MTSAT), J. Oceanogr., 66, 61–70.
____, _____, _____, and ______, 2010b: Advanced Sea Surface Temperature Retrieval Using the Japanese Geostationary Satellite, Himawari-6, J. Oceanogr., 66, 855–864.
Kennedy, J. J., P. Brohan, and S. F. B. Tett, 2007: A Global Climatology of the Diurnal Variations in Sea-surface Temperature and Implications for MSU Temperature Trends. Geophys. Res. Lett., 34, L05712, doi:10.1029/2006GL028920.
Lee B. I., Y. J. Kim, C. Y. Chung, S. H. Lee, and S. N. Oh, 2007: Development of Cloud Amount Calculation Algorithm using MTSAT-1R Satellite Data, Atmosphere, 17, 125–133 (in Korean with English abstract).
Legeckis, R., and T. Zhu, 1997: Sea Surface Temperature from the GOES-8 Geostationary Satellite. Bull. Amer. Meteor. Soc., 78, 1971–1983.
McClain, E. P., W. G. Pichel, and C. C. Walton, 1985: Comparative Performance of AVHRR-based Multichannel Sea Surface Temperatures. J. Geophys. Res., 90, 11587–11601.
____, 1989: Global Sea Surface Temperatures and Cloud Clearing for Aerosol Optical Depth Estimates. Int. J. Remote Sens., 10, 763–769.
Martin, S., 2004: An Introduction to Ocean Remote Sensing. Cambridge University Press, 182 pp.
Reynolds, R. W., T. M. Smith, C. Liu, D. B. Chelton, K. S. Casey, and M. G. Schlax, 2007: Daily High-Resolution Blended Analyses for Sea Surface Temperature. J. Climate, 20, 5473–5496.
Strong, A. E., and E. P. McClain, 1984: Improved ocean surface temperatures from space-comparisons with drifting buoys. Bull. Amer. Meteor. Soc., 65, 138–142.
Sui, C.-H., K.-M. Lau, Y. N. Takayabu, and D. A. Short, 1997: Diurnal Variations in Tropical Oceanic Cumulus Convection during TOGA COARE. J. Atmos. Sci. 54, 639–655.
Tanahashi, S., H. Kawamura, T. Matsuura, T. Takahashi, and H. Yusa, 2000: Improved Estimates of Wide-ranging Sea Surface Temperature from GMS S-VISSR Data. J. Oceanogr., 56, 345–358.
Wu, X., W. P. Menzel, and G. Wade, 1999: Estimation of sea surface temperatures using GOES 8/9 radiance measurements. Bull. Amer. Meteor. Soc., 80, 1127–1138.
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Kim, MJ., Ou, ML., Sohn, EH. et al. Characteristics of sea surface temperature retrieved from MTSAT-1R and in-situ data. Asia-Pacific J Atmos Sci 47, 421–427 (2011). https://doi.org/10.1007/s13143-011-0027-6
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DOI: https://doi.org/10.1007/s13143-011-0027-6