Sensor-Specific Error Statistics for SST in the Advanced Clear-Sky Processor for Oceans

Petrenko, B.; Ignatov, A.; Kihai, Y.; Dash, P.

doi:10.1175/Jtech-D-15-0166.1

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Sensor-Specific Error Statistics for SST in the Advanced Clear-Sky Processor for Oceans

2016
By Petrenko, B. ; Ignatov, A. ; Kihai, Y. ; ...
Source: Journal of Atmospheric and Oceanic Technology, 33(2), 345-359

[PDF-3.87 MB]

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Journal Title:

Journal of Atmospheric and Oceanic Technology
Personal Author:

Petrenko, B. ; Ignatov, A. ; Kihai, Y. ; Dash, P.

Petrenko, B. ; Ignatov, A. ; Kihai, Y. ; Dash, P. Less -
NOAA Program & Office:

NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research) ; JPSS (Joint Polar Satellite System Program Office) ; CIRA (Cooperative Institute for Research in the Atmosphere)

NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research) ; JPSS (Joint Polar Satellite System Program Office) ; CIRA (Cooperative Institute for Research in the Atmosphere) Less -
Description:

The formulation of the sensor-specific error statistics (SSES) has been redesigned in the latest implementation of the NOAA Advanced Clear-Sky Processor for Oceans (ACSPO) to enable efficient use of SSES for assimilation of the ACSPO baseline regression SST (BSST) into level 4 (L4) analyses. The SSES algorithm employs segmentation of the SST domain in the space of regressors and derives the segmentation parameter from the statistics of regressors within the global dataset of matchups.
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Algorithms Observational Techniques And Algorithms Remote Sensing
Source:

Journal of Atmospheric and Oceanic Technology, 33(2), 345-359
DOI:

https://doi.org/10.1175/Jtech-D-15-0166.1
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Journal Article
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urn:sha256:537fccdd44f018551307c326601a508e65db16d84ce2ccc444c747efc96e7aac
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https://repository.library.noaa.gov/view/noaa/41035/noaa_41035_DS1.pdf
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Sensor-Specific Error Statistics for SST in the Advanced Clear-Sky Processor for Oceans

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