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A Satellite Covariance-Based Method to Support AERONET Ocean Color Validation Activities

Abstract

 

The objective is to determine the location(s) in any given oceanic area during different temporal periods where in situ sampling for Calibration/Validation (Cal/Val) provides the greatest improvement in retrieving accurate radiometric and derived product data (lowest uncertainties). A method is presented to merge satellite imagery with in situ samples and to determine the best in situ sampling strategy suitable for satellite Cal/Val efforts. This methodology uses satellite acquisitions to build a covariance matrix encoding the spatio-temporal variability of the area of interest. The covariance matrix is used in a Bayesian framework to merge satellite and in situ data providing a product with lower uncertainty. The best in situ location for Cal/Val efforts is retrieved using a design principle (A-optimum design) that looks for minimizing the estimated variance of the merged product.

About the Authors

G. Pennucci
Центр подводных исследований НАТО
Italy


A. Alvarez
Центр подводных исследований НАТО
Italy


C. Trees
Центр подводных исследований НАТО
Italy


References

1. Pennucci G., Alvarez A., Trees C. Study of covariance as a function of cloud cover, NURC report (Under Progress), December 2010.

2. Lagerloef G.S.E., Bernstein R.L. Empirical Orthogonal Function Analysis of Advanced Very High Resolution Radiometer Surface Temperature Patterns in Santa Barbara Channel // J. of Geophysical Research. June 15, 1988. V.93, N C6. P.6863–6873.

3. Zibordi G.B. et all. AERONET-OC: A Network for the Validation of Ocean Color Primary Products // J. Atmos. Oceanic Technol., 26, 1634–1651, DOI: 10.1175/2009JTECHO654.1, 2009.

4. http://aeronet.gsfc.nasa.gov/.


Review

For citations:


Pennucci G., Alvarez A., Trees C. A Satellite Covariance-Based Method to Support AERONET Ocean Color Validation Activities. Fundamental and Applied Hydrophysics. 2012;5(4):64-68.

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ISSN 2073-6673 (Print)
ISSN 2782-5221 (Online)