Adaptive Localization for Satellite Radiance Observations in an Ensemble Kalman Filter

Lei, Lili; Whitaker, Jeffrey S.; Anderson, Jeffrey L.; Tan, Zhemin

doi:10.1029/2019ms001693

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The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.

i

Adaptive Localization for Satellite Radiance Observations in an Ensemble Kalman Filter

2020
By Lei, Lili ; Whitaker, Jeffrey S. ; Anderson, Jeffrey L. ; ...
Source: Journal of Advances in Modeling Earth Systems, 12(8)

[PDF-922.86 KB]

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Details:

Journal Title:

Journal of Advances in Modeling Earth Systems
Personal Author:

Lei, Lili ; Whitaker, Jeffrey S. ; Anderson, Jeffrey L. ; Tan, Zhemin

Lei, Lili ; Whitaker, Jeffrey S. ; Anderson, Jeffrey L. ; Tan, Zhemin Less -
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; ESRL (Earth System Research Laboratory)

OAR (Oceanic and Atmospheric Research) ; ESRL (Earth System Research Laboratory) Less -
Description:

Localization is essential to effectively assimilate satellite radiances in ensemble Kalman ﬁlters. However, the vertical location and separation from a model grid point variable for a radiance observation are not well de ﬁned, which results in complexities when localizing the impact of radiance observations. An adaptive method is proposed to estimate an effective vertical localization independently for each assimilated channel of every satellite platform. It uses sample correlations between ensemble priors of observations and state variables from a cycling data assimilation to estimate the localization function that minimizes thesampling error. The estimated localization functions are approximated by three localization parameters: the localization width, maximum value, and vertical location of the radiance observations. Adaptively
Keywords:

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Environmental Chemistry General Earth And Planetary Sciences Global And Planetary Change
Source:

Journal of Advances in Modeling Earth Systems, 12(8)
DOI:

https://doi.org/10.1029/2019ms001693
ISSN:

1942-2466;1942-2466;
Format:

PDF
Publisher:

American Geophysical Union (AGU)
Document Type:

Journal Article
License:

https://creativecommons.org/licenses/by-nc/4.0/
Rights Information:

CC BY-NC
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Library
Main Document Checksum:

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urn:sha256:ba0b69be7a83ce84bd33d064046b60dc9cafe7dd139d422eb20ea7f534f8f253
Download URL:

https://repository.library.noaa.gov/view/noaa/53806/noaa_53806_DS1.pdf
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