Satellite All-sky Infrared Radiance Assimilation: Recent Progress and Future Perspectives

Jun Li; Alan J. Geer; Kozo Okamoto; Jason A. Otkin; Zhiquan Liu; Wei Han; Pei Wang

doi:10.1007/s00376-021-1088-9

Satellite All-sky Infrared Radiance Assimilation: Recent Progress and Future Perspectives

Jun Li, Alan J. Geer, Kozo Okamoto, Jason A. Otkin, Zhiquan Liu, Wei Han, Pei Wang

Prediction, Assimilation & Risk Communication

Research output: Contribution to journal › Review article › peer-review

67 Scopus citations

Abstract

Satellite infrared (IR) sounder and imager measurements have become one of the main sources of data used by data assimilation systems to generate initial conditions for numerical weather prediction (NWP) models and atmospheric analysis/reanalysis. This paper reviews the development of satellite IR data assimilation in NWP in recent years, especially the assimilation of all-sky satellite IR observations. The major challenges and future directions are outlined and discussed.

Original language	English
Pages (from-to)	9-21
Number of pages	13
Journal	Advances in Atmospheric Sciences
Volume	39
Issue number	1
DOIs	https://doi.org/10.1007/s00376-021-1088-9
State	Published - Jan 2022

Keywords

all-sky radiances
satellite data assimilation
variational and ensemble data assimilation

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10.1007/s00376-021-1088-9

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title = "Satellite All-sky Infrared Radiance Assimilation: Recent Progress and Future Perspectives",

abstract = "Satellite infrared (IR) sounder and imager measurements have become one of the main sources of data used by data assimilation systems to generate initial conditions for numerical weather prediction (NWP) models and atmospheric analysis/reanalysis. This paper reviews the development of satellite IR data assimilation in NWP in recent years, especially the assimilation of all-sky satellite IR observations. The major challenges and future directions are outlined and discussed.",

keywords = "all-sky radiances, satellite data assimilation, variational and ensemble data assimilation",

author = "Jun Li and Geer, \{Alan J.\} and Kozo Okamoto and Otkin, \{Jason A.\} and Zhiquan Liu and Wei Han and Pei Wang",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s).",

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doi = "10.1007/s00376-021-1088-9",

language = "English",

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TY - JOUR

T1 - Satellite All-sky Infrared Radiance Assimilation

T2 - Recent Progress and Future Perspectives

AU - Li, Jun

AU - Geer, Alan J.

AU - Okamoto, Kozo

AU - Otkin, Jason A.

AU - Liu, Zhiquan

AU - Han, Wei

AU - Wang, Pei

PY - 2022/1

Y1 - 2022/1

N2 - Satellite infrared (IR) sounder and imager measurements have become one of the main sources of data used by data assimilation systems to generate initial conditions for numerical weather prediction (NWP) models and atmospheric analysis/reanalysis. This paper reviews the development of satellite IR data assimilation in NWP in recent years, especially the assimilation of all-sky satellite IR observations. The major challenges and future directions are outlined and discussed.

AB - Satellite infrared (IR) sounder and imager measurements have become one of the main sources of data used by data assimilation systems to generate initial conditions for numerical weather prediction (NWP) models and atmospheric analysis/reanalysis. This paper reviews the development of satellite IR data assimilation in NWP in recent years, especially the assimilation of all-sky satellite IR observations. The major challenges and future directions are outlined and discussed.

KW - all-sky radiances

KW - satellite data assimilation

KW - variational and ensemble data assimilation

UR - https://www.scopus.com/pages/publications/85115623052

U2 - 10.1007/s00376-021-1088-9

DO - 10.1007/s00376-021-1088-9

M3 - Review article

AN - SCOPUS:85115623052

SN - 0256-1530

VL - 39

SP - 9

EP - 21

JO - Advances in Atmospheric Sciences

JF - Advances in Atmospheric Sciences

IS - 1

ER -

Satellite All-sky Infrared Radiance Assimilation: Recent Progress and Future Perspectives

Abstract

Keywords

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