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by Martinet, P., Fourrié, N., Guidard, V., Rabier, F., Montmerle, T. and Brunel, P.
Abstract:
This article focuses on the simulation and the assimilation of satellite infrared observations in convective-scale numerical weather prediction (NWP) systems. A radiative transfer model that includes profiles for liquid-water content, ice-water content and cloud fraction was used to simulate cloud-affected radiances as background equivalents. This approach avoids the use of cloud parameters (cloud-top pressure and effective cloud fraction) deduced from a CO2 slicing algorithm and the modelling of clouds by single-layer clouds. The advanced radiative transfer model was evaluated using infrared observations measured by the Infrared Atmospheric Sounding Interferometer (IASI). The observation-screening procedure that was developed to improve the selection of usable cloudy scenes led to a good agreement between observations and background equivalents. For that purpose, a radiance analysis of collocated Advanced Very High Resolution Radiometer (AVHRR) pixels inside each IASI field of view was used. The goal of this preliminary work is to assess the feasibility of adding the cloud variables (liquid and ice-water contents) to the state vector of the assimilation system. The approach is illustrated with one-dimensional variational (1D-Var) retrievals. The physical consistency of the 1D-Var adjustments is verified with real observations. Then observing-system simulation experiments (OSSE) are used to validate the 1D-Var retrievals.
Reference:
Martinet, P., Fourrié, N., Guidard, V., Rabier, F., Montmerle, T. and Brunel, P., 2013: Towards the use of microphysical variables for the assimilation of cloud-affected infrared radiancesQuarterly Journal of the Royal Meteorological Society, 139, 1402-1416.
Bibtex Entry:
@Article{Martinet2013b,
  Title                    = {Towards the use of microphysical variables for the assimilation of cloud-affected infrared radiances},
  Author                   = {Martinet, P. and Fourrié, N. and Guidard, V. and Rabier, F. and Montmerle, T. and Brunel, P.},
  Journal                  = {Quarterly Journal of the Royal Meteorological Society},
  Year                     = {2013},

  Month                    = {July},
  Number                   = {674, A},
  Pages                    = {1402-1416},
  Volume                   = {139},

  Abstract                 = {This article focuses on the simulation and the assimilation of satellite infrared observations in convective-scale numerical weather prediction (NWP) systems. A radiative transfer model that includes profiles for liquid-water content, ice-water content and cloud fraction was used to simulate cloud-affected radiances as background equivalents. This approach avoids the use of cloud parameters (cloud-top pressure and effective cloud fraction) deduced from a CO2 slicing algorithm and the modelling of clouds by single-layer clouds. The advanced radiative transfer model was evaluated using infrared observations measured by the Infrared Atmospheric Sounding Interferometer (IASI). The observation-screening procedure that was developed to improve the selection of usable cloudy scenes led to a good agreement between observations and background equivalents. For that purpose, a radiance analysis of collocated Advanced Very High Resolution Radiometer (AVHRR) pixels inside each IASI field of view was used. The goal of this preliminary work is to assess the feasibility of adding the cloud variables (liquid and ice-water contents) to the state vector of the assimilation system. The approach is illustrated with one-dimensional variational (1D-Var) retrievals. The physical consistency of the 1D-Var adjustments is verified with real observations. Then observing-system simulation experiments (OSSE) are used to validate the 1D-Var retrievals.},
  Address                  = {{111 RIVER ST, HOBOKEN 07030-5774, NJ USA}},
  Affiliation              = {{Martinet, P (Reprint Author), Meteo France, CNRM GMAP, 42 Ave Coriolis, F-31057 Toulouse, France. Martinet, P.; Fourrié, N.; Guidard, V.; Rabier, F.; Montmerle, T., Meteo France, F-31057 Toulouse, France. Martinet, P.; Fourrié, N.; Guidard, V.; Rabier, F.; Montmerle, T., CNRS CNRM GAME, F-31057 Toulouse, France. Brunel, P., Meteo France, Ctr Meteorol Spatiale, Lannion, France.}},
  Author-email             = {{pauline.martinet@meteo.fr}},
  Copublication            = {6: 6 Fr},
  Doc-delivery-number      = {{240MV}},
  Doi                      = {10.1002/qj.2046},
  Eissn                    = {{1477-870X}},
  Funding-acknowledgement  = {{MIS-TRALS/HYMeX program}},
  Funding-text             = {{This work has been partly sponsored by the MIS-TRALS/HYMeX program. The authors thank the NWP SAF for providing the Met Office 1D-Var code used in this study. The authors are grateful to Frederic Chevallier and Tony McNally for helpful suggestions that permitted the completion of this study and our colleagues Gerald Desroziers, Yann Michel and Benjamin Menetrier for useful discussions concerning the B matrix. The authors also thank Jean-Antoine Maziejewski for improving the quality of the wording and Jean-Francois Mahfouf for fruitful comments. The anonymous reviewers are thanked for their helpful suggestions to improve the manuscript.}},
  ISSN                     = {{0035-9009}},
  Journal-iso              = {{Q. J. R. Meteorol. Soc.}},
  Keywords                 = {convective-scale NWP; IASI; clouds; 1D-Var; RTTOV},
  Keywords-plus            = {{NUMERICAL WEATHER-PREDICTION; BACKGROUND-ERROR COVARIANCES; SATELLITE RADIANCES; PART I; 4D-VAR; SYSTEM; IMPLEMENTATION; FORMULATION; MESOSCALE; SOUNDERS}},
  Language                 = {{English}},
  Number-of-cited-references = {{37}},
  Owner                    = {hymexw},
  Publisher                = {{WILEY-BLACKWELL}},
  Research-areas           = {{Meteorology \& Atmospheric Sciences}},
  Times-cited              = {{0}},
  Timestamp                = {2015.07.15},
  Type                     = {{Article}},
  Unique-id                = {{ISI:000326101800020}},
  Url                      = {http://onlinelibrary.wiley.com/doi/10.1002/qj.2046/full},
  Web-of-science-categories = {{Meteorology \& Atmospheric Sciences}}
}