Skip to main content
placeholder image

The Atmospheric Infrared Sounder Retrieval, Revisited

Journal Article


Download full-text (Open Access)

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.

Authors


  •   Cressie, Noel A.
  •   Wang, Rui (external author)
  •   Maloney, Benjamin (external author)

Publication Date


  • 2017

Citation


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

Scopus Eid


  • 2-s2.0-85028942875

Ro Full-text Url


  • https://ro.uow.edu.au/cgi/viewcontent.cgi?article=1640&context=eispapers1

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers1/639

Number Of Pages


  • 3

Start Page


  • 1504

End Page


  • 1507

Volume


  • 14

Issue


  • 9

Place Of Publication


  • United States

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.

Authors


  •   Cressie, Noel A.
  •   Wang, Rui (external author)
  •   Maloney, Benjamin (external author)

Publication Date


  • 2017

Citation


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

Scopus Eid


  • 2-s2.0-85028942875

Ro Full-text Url


  • https://ro.uow.edu.au/cgi/viewcontent.cgi?article=1640&context=eispapers1

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers1/639

Number Of Pages


  • 3

Start Page


  • 1504

End Page


  • 1507

Volume


  • 14

Issue


  • 9

Place Of Publication


  • United States