The workshop on Assimilation of high spectral resolution sounders in NWP was held from June 28 to 1 July 2004.
Description
The NASA AQUA satellite was successfully launched in May 2002 and sampled radiance data from the AIRS (and the accompanying AMSU-A) instruments are now available in near-real-time (NRT) to the NWP community. Most NWP centres have undertaken major research and development efforts for the validation and assimilation of this new advanced infrared sounder.
The aim of the workshop was to review the critical issues related to the assimilation of high spectral resolution sounders in operational NWP centres, in particular monitoring, cloud detection, channel selection, data compression and radiative transfer modelling.
Documents
Introduction and working group reports
Presentations
Session 1: RT modelling and bias correction issues | |
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Forward modelling for advanced infrared sounders Roger Saunders |
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Simulating infrared limb radiances from MIPAS in the ECMWF system Niels Bormann |
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Fast radiative transfer models for radiance assimilation: issues for the next generation of advanced sounders Marco Matricardi |
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Observation of bias in AIRS data and a correction strategy Phil Watts |
Session 2: Assimilation issues | |
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Assimilation of AQUA data at NCEP John Derber |
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Assimilation of advanced infrared sounder observations at the Met Office Andrew Collard |
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The assimilation of AIRS radiances at ECMWF Tony McNally |
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Assimilation results at Météo-France for AIRS Thomas Auligné |
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Challenges in satellite data monitoring at ECMWF Gerald Van Der Grijn |
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Variational bias correction of radiance data in the ECMWF system Dick Dee |
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Estimation of atmospheric CO2 concentrations through the data assimilation of AIRS radiances in the ECMWF 4D-Var system Richard Engelen |
Session 3: Treatment of cloud issues | |
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Prospects for assimilating cloudy radiances from AIRS Frédéric Chevallier |
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Cloud detection for IASI/AIRS using imagery Lydie Lavanant |
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Apperception of clouds in AIRS data Allen Huang |
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Extraction of atmospheric profile information from cloud contaminated radiance spectra Bill Smith |
Session 4: Information Content Issues | |
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Information content of advanced sounders Clive Rodgers |
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Information Content of limb radiances from MIPAS Anu Dudhia |
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PCA-based information content studies from high spectral resolution infrared observations Paolo Antonelli |
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Data compression for IASI and radiative transfer in EOF space Peter Schlüssel |
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Compression of AIRS data with principal components Jonathan Smith |
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Principal component analysis of AIRS radiances Mitch Goldberg |
Proceedings
PCA-based information content studies from high spectral resolution infrared observations P Antonelli |
|
Assimilation results for AIRS at Météo-France T Auligné |
|
Simulating infrared limb radiances from MIPAS in the ECMWF system N Bormann |
|
Prospects for assimilating cloudy radiances from AIRS F Chevallier |
|
Assimilation of AIRS observations at the Met Office A Collard |
|
Variational bias correction of radiance data in the ECMWF system D Dee |
|
Assimilation of advanced sounders at NCEP J C Derber |
|
Information Content of limb radiances from MIPAS A Dudhia |
|
Estimation of atmospheric CO2 concentrations through the data assimilation of AIRS radiances in the ECMWF 4D-Var system R J Engelen |
|
Principal component analysis (PCA) of AIRS data M D Goldberg |
|
Apperception of clouds in AIRS data H-L Huang |
|
Cloud detection for IASI/AIRS using imagery L Lavanant |
|
Fast radiative transfer models for assimilation of radiance observation: issues for the next generation of advanced sounders M Matricardi |
|
The assimilation of AIRS radiance data at ECMWF A P McNally |
|
Information content of advanced sounders C D Rodgers |
|
Forward modelling for advanced infrared sounders R Saunders |
|
Data compression for IASI and radiative transfer in EOF space P Schlüssel |
|
Compression of AIRS data with principal components J Smith |
|
Extraction of profile information from cloud contaminated radiances W L Smith |
|
Identification and correction of radiative transfer modelling errors for atmospheric sounders: AIRS and AMSU-A P Watts |
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Challenges in satellite data monitoring G van der Grijn |