Journal article
Initial Evaluation of the Sensor-Specific Error Statistics in the NOAA Advanced Clear-Sky Processor for Oceans SST System: Diurnal Variation Signals Captured
H Zhang, AV Babanin, A Ignatov, B Petrenko
IEEE Geoscience and Remote Sensing Letters | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | Published : 2018
Abstract
The newly designed sensor-specific error statistics (SSES) for sea surface temperature (SST) in the National Oceanic and Atmospheric Administration (NOAA) Advanced Clear-Sky Processor for Oceans (ACSPO) system is evaluated using six months (September 15, 2017-March 14, 2018) of ACSPO SST derived from the Visible Infrared Imaging Radiometer Suite (VIIRS) flown onboard the Suomi National Polar-orbiting Partnership satellite, SSTVIIRS. SSES bias field is shown to generally capture the temperature differences between the surface SSTVIIRS and the in situ SSTs (0.2-1 m) in both daytime and nighttime, especially at low-mid latitudes. Daytime SSES can capture, in addition to several other physical f..
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Grants
Awarded by Australian Research Council
Funding Acknowledgements
This work was supported by the Australian Research Council Discovery under Project DP170101328. The work of A. V. Babanin was supported by the DISI Australia-China Centre under Grant ACSRF48199. The works of A. Ignatov and B. Petrenko were supported by the U.S. JPSS Program.