Title

The Atmospheric Infrared Sounder Retrieval, Revisited

RIS ID

116251

Publication Details

Cressie, N., Wang, R. & Maloney, B. (2017). The Atmospheric Infrared Sounder Retrieval, Revisited. IEEE Geoscience and Remote Sensing Letters, 14 (9), 1504-1507.

Abstract

The algorithm used in the retrieval of geophysical quantities from the Atmospheric Infrared Sounder (AIRS) instrument depends on two fundamental components. The first is a cost function that is the sum of squares of the differences between cloud-cleared radiances and their corresponding forward-model terms. The second is the minimization of this cost function. For the retrieval of carbon dioxide, the minimization is further improved using the method of vanishing partial derivatives (VPDs). In this letter, we show that this VPD component is identical to a coordinate descent method with Newton-Raphson updates, which allows it to be put in context with other optimization algorithms. We also show that the AIRS cost function is a limiting case of the cost function used in optimal estimation, which demonstrates how uncertainty quantification in the AIRS retrieval can be implemented.

Grant Number

ARC/DP150104576

Please refer to publisher version or contact your library.

Share

COinS