Comparative performance of AVHRR‐based multichannel sea surface temperatures

A brief outline of the basic concepts of cloud filtering and atmospheric attenuation corrections used in the Multi-channel Sea Surface Temperature (MCSST) method is given. The operational MCSST procedures and products are described in detail. The comparative performance of AVHRR-based MCSST'S is discussed via the use of the results of the JPL Satellite-Derived Sea Surface Temperature workshops. For the four data periods there is surprisingly good correspondence in the sign and location of the major monthly mean SST anomaly features derived from MCSST's and those from a screened set of ship-based SST's. With the partial exception of the one data period severely affected in some areas by volcanic aerosol from El Chichon eruptions, global statistical measures of the MCSST anomalies relative to the the ship data are as follows: biases, 0.3–0.4°C (MCSST lower than ship); standard deviations, 0.5–0.6°C; and cross-correlations, +0.3 to +0.7. A refined technique in use with NOAA 9 data in 1985 has yielded consistent biases and rms differences near −0.1°C and 0.5°C, respectively.

[1]  Ian S. Robinson,et al.  Review Article. The sea surface thermal boundary layer and its relevance to the measurement of sea surface temperature by airborne and spaceborne radiometers , 1984 .

[2]  A. Schwalb,et al.  The TIROS-N/NOAA A-G satellite series , 1978 .

[3]  William G. Pichel,et al.  Multi-channel improvements to satellite-derived global sea surface temperatures , 1983 .

[4]  J. D. Woods.  Satellite monitoring of the ocean for global climate research , 1983, Philosophical Transactions of the Royal Society of London. Series A, Mathematical and Physical Sciences.

[5]  C. Walton,et al.  Satellite Measurement of Sea Surface Temperature in the Presence of Volcanic Aerosols , 1985 .

[6]  P. J. Minnett,et al.  Observations of sea-surface temperature for climate research , 1983, Philosophical Transactions of the Royal Society of London. Series A, Mathematical and Physical Sciences.

[7]  E. Njoku.  Satellite-Derived Sea Surface Temperature: Workshop Comparisons , 1985 .

[8]  G. Hunt.  Radiative properties of terrestrial clouds at visible and infra-red thermal window wavelengths , 1973 .

[9]  T. L. Signore,et al.  Satellite derived sea-surface temperatures from NOAA spacecraft , 1976 .

[10]  R. Bernstein,et al.  Sea surface temperature estimation using the NOAA 6 satellite advanced very high resolution radiometer , 1982 .

[11]  M. Griggs,et al.  Satellite Measurements Of Tropospheric Aerosols , 1979, Optics & Photonics.

[12]  E. Paul McClain,et al.  Multiple Atmospheric-Window Techniques for Satellite-Derived Sea Surface Temperatures , 1981 .

[13]  A. Schwalb,et al.  Modified version of the Improved TIROS Operational Satellite (ITOS D-G) , 1972 .

[14]  L. McMillin,et al.  Theory and validation of the multiple window sea surface temperature technique , 1984 .

[15]  Eni G. Njoku,et al.  Production of global sea surface temperature fields for the Jet Propulsion Laboratory workshop comparisons , 1985 .

[16]  E. Njoku.  Satellite-Derived Sea Surface Temperature: Workshop-2 , 1983 .

[17]  A. Strong,et al.  Improved Ocean Surface Temperatures From Space—Comparisons With Drifting Buoys , 1984 .

[18]  R. Reynolds.  A monthly averaged climatology of sea surface temperature , 1982 .

[19]  L. Lauritson,et al.  Data extraction and calibration of TIROS-N/NOAA radiometers , 1979 .

[20]  W. Pichel,et al.  Equatorial Long Waves in Geostationary Satellite Observations and in a Multichannel Sea Surface Temperature Analysis , 1983 .

[21]  Michael P. Weinreb,et al.  Calculation of atmospheric radiances and brightness temperatures in infrared window channels of satellite radiometers , 1980 .

[22]  I. J. Barton,et al.  Dual channel satellite measurements of sea surface temperature , 1983 .