Validation assessment model for atmospheric retrievals

Nikita Pougatchev; Gail Bingham; Joel Cardon; Karen St. Germain; Stephen Mango; Joe Tansock; Vladimir Zavyalov; Stanislav Kireev; David Tobin

doi:10.1117/12.679651

1 September 2006 Validation assessment model for atmospheric retrievals

Nikita Pougatchev, Gail Bingham, Joel Cardon, Karen St. Germain, Stephen Mango, Joe Tansock, Vladimir Zavyalov, Stanislav Kireev, David Tobin

Author Affiliations +

Proceedings Volume 6301, Atmospheric and Environmental Remote Sensing Data Processing and Utilization II: Perspective on Calibration/Validation Initiatives and Strategies; 63010M (2006) https://doi.org/10.1117/12.679651
Event: SPIE Optics + Photonics, 2006, San Diego, California, United States

Abstract

A linear mathematical error model for the assessment of validation activity of atmospheric retrievals is presented. The purpose of the validation activity is to assess the actual performance of the remote sensing validated system while in orbit by comparing its measurements to some relevant-validating-data sets. The validating system samples volumes of the atmosphere at times and locations that are different from the ones when and where the validated system makes its own observations. The location of the validating system can be either stationary, e.g. a ground ARM site, or movable, e.g. an aircraft or some other satellites. The true states may be correlated or not. The sampled volumes differ from each other by their location, timing, and size. The validated and validating systems have different vertical resolution and grid, absolute accuracy, and noise level. All the above factors cause apparent differences between the data to be compared. The validation assessment model makes the comparison accurate by allowing for the differences. The model can be used for assessment and interpretation of the validation results when the above mentioned sources of discrepancies are significant, as well as for evaluation of a particular validating data source.

Citation Download Citation

Nikita Pougatchev, Gail Bingham, Joel Cardon, Karen St. Germain, Stephen Mango, Joe Tansock, Vladimir Zavyalov, Stanislav Kireev, and David Tobin "Validation assessment model for atmospheric retrievals", Proc. SPIE 6301, Atmospheric and Environmental Remote Sensing Data Processing and Utilization II: Perspective on Calibration/Validation Initiatives and Strategies, 63010M (1 September 2006); https://doi.org/10.1117/12.679651

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