Mrs Mee-Ja Kim, Seoul, Korea
Submitted by kimmee74@korea.kr
Presentation: Characteristics on Sea Surface Temperature Derived from MTSAT-1R, AVHRR and
AMSR-E Satellite Data
Mee-Ja Kim, Inchul Shin, Sungwook Hong, and Mi-Lim Ou
Abstract: Satellite based sea surface temperature (SST) has been commonly used for NWP model
background and efforts to produce accurate SST with high spatial and temporal resolution have been
continued by combining multi-sensor SST in the framework of the GHRSST (Global High Resolution SST)
activity. In this study, SSTs from different kinds of satellite sensors have been produced based on the
multi-channel regression, called multi-channel SST (MCSST) from MTSAT-1R, NOAA/AVHRR data from
March 2006 to February 2008 over the East Asian area.
The SST from Aqua/AMSE is used the data generated by the Wentz algorithm. The multi-sensor
satellite-derived SSTs show different characteristics in time and space. In comparison with buoy SSTs for
validation, the RMSE for the MTSAT-1R, AVHRR and AMSR-E are 0.75 K, 0.62 K and 0.90 K,
respectively. Characteristics on temporal and spatial variation of multi-sensor SSTs will be shown in the
presentation. Especially, the accuracy has been decreased in high latitudes for MTSAT-1R. The one of
the reasons may be an impact of surface emissivity according to the satellite zenith angle. As a result, the
surface emissivity showed a positive impact on the satellite-derived SST in high latitudes over 40 degree.
However, it needs more work with enough size of data to derive a solid output.
Submission area: Poster