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Theory and validation of the multiple window sea surface temperature technique
252
Citations
13
References
1984
Year
EngineeringAtmospheric SoundingOceanographyTemperature PredictionEarth ScienceAtmospheric ScienceCalibrationInfrared WindowsSplit Window FormThermal Infrared Remote SensingAtmospheric SensingMeteorologyGeographySplit WindowRadiation MeasurementOceanic ForcingRadiometryClimate DynamicsClimatologyAtmospheric RadiationPhysical OceanographyTemperature MeasurementRemote SensingSatellite Meteorology
The split‑window technique for correcting satellite radiance for atmospheric attenuation is reviewed. The authors compare theoretical predictions with AVHRR satellite measurements in three infrared windows, using buoy observations as ground truth, after cloud screening, and conduct multiple statistical analyses. The statistical model agrees with theory when the two true split‑window channels are used, but not when the 3.8‑µm channel is paired with a 10–12‑µm channel, and the method yields sea‑surface temperatures with a standard deviation of 1 K or less.
The development of the “split window” approach for correcting satellite measurement of radiance for atmospheric attenuation is reviewed. Then the theoretical results are compared to results from actual measurements which consist of satellite measurements in the three infrared windows of the AVHRR. Ground truth for the comparisons comes from buoys. The satellite measurements were screened for clouds, and the remaining ones were used in the analysis. Using this data set, several statistical analyses were performed. These showed that, when the two channels that are truly a split window are used, the result of the statistical model agrees with the one derived from theoretical considerations. When the 3.8‐μm channel is combined with one in the 10–12 μm region, the result of the statistical model does not take the split window form. Results show that the method is capable of producing sea surface temperatures with a standard deviation of 1 K or less.
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