# A Study on Comparison of Satellite-Tracked Drifter Temperature with Satellite-Derived Sea Surface Temperature of NOAA/NESDIS

• Park, Kyung-Ae (Department of Oceanography, Seoul National Univ.) ;
• Chung, Joug-Yul (Department of Oceanography, Seoul National Univ.) ;
• Kim, Kuh (Department of Oceanography, Seoul National Univ.) ;
• Choi, Byung-Ho (Department of Civil Engineering, Sung Kyun Kwan Univ.)
• Published : 1994.06.01

#### Abstract

Sea surface temperatures (SSTs) estimated by using the operational SST derivation equations of NOAA/NESDIS were compared with satellite-tracked drifter temperatures. As a result of eliminating cloud-filled or contaminated pixels through several cloud tests, 69 matchup points between the drifter temperatures and the SSTs estimated with NOAA satellite 9, 10. 11 and 12 data from August, 1993 to July, 1994 were collected. Multi-channel sea surface temperature(MCSST) using a split window technique showed an approximately $1.0{\circ}C$ rms error as compared with the drifting buoy temperatures for 69 coincidences. Accuracies for satellete-derived sea surface temperatures were evaluated for only NOAA-11 AVHRR data which had relatively large matchups of 35points as compared with other satellites. For the comparison of the oberved temperatures with the calculated SSTs, linear MCSST and nonlinear cross product sea surface temperature(CPSST) algorithms by the split, the dual and the triple window technique were used respectively. As a result, the split window CPSSTs showed the smallest rms error of $0.72{\circ}C$. Defferences between the split window SSTs and the drifter temperatures appeared th have a linear tendency against the drifter temperatures and also against the differences between AVHRR channel 4 and 5 brighness temperatures. This indicates some possibilities that satelite-derived SSTs operationally calculated from the NOAA/NESDIS equation in the seas around Korea have been underestimated as compared with actural SSTs in case sea water temperature is relatively low or the atmosphere over the sea surface is very dry like in winter, while overstimated in case of high temperature or very moist atmospheric equations based on local sea measurements around Korea instead of global measurements should be derived.

#### References

1. J. Geophy. Res. v.87 no.C12 Sea surface temperature estimation using the NOAA-6 satellite Advanced Very High Resolution Radiometer Bernstein,R.L.
2. J. Opt. Soc. Am. v.44 Measurements of the roughness of the sea surface from photographs of the sun's glitter Cox,C.S.;Munk,W.H.
3. J. Geophy. Res. v.91 no.C2 An analysis of errors in sea surface temperature in a series of infrared images from NOAA-6 Kelly,K.A.;Davis,R.E.
4. NOAA technical Memo NESS 107 Data extraction and calibration of TIROS-N/NOAA radiometers Lauritson(et al.)
5. J. Geophy. Res. v.90 Comparative performance of AVHRR-based multichannel sea surface temperature McClain,E.P.;Pichel,W.G.;Walton,C.C.
6. NOAA Polar Orbiter Data Users Guide NOAA/NESDIS;K.B.Kidwell(ed.)
7. J. Geophy. Res. v.79 Estimation of sea surface temperature from remote sensing in the 11-13 ㎛ window region Prabakahara,C.;Dalu,G.;Kunde,V.G.
8. Satellite Oceanography Robinson,I.S.
9. Int. J. Remote Sensing v.7 An automated scheme for the removal of cloud contamination from AVHRR radiances over western Europe Saunders,R.W.
10. Int. J. Remote Sensing v.9 An improved method for detecting clear sky and cloudy radiances from AVHRR data Saunders,R.W.;Kriebel,K.T.
11. J. Geophy. Res. v.95 no.C8 An automated cloud screening algorithm for daytime Advanced Very High Resolution Radiometer Imagery Simpson,J.J.;Humphery,C.
12. J. Applied Meteor. v.27 Nonlinear multichannel algorithms for estimating sea surface temperature with AVHRR satellite data Walton,C.C.