Towards the use of microphysical variables for the assimilation of cloud-affected infrared radiances

Quarterly Journal of the Royal Meteorological Society

Volumn 139, Issue 674, 2013, Pages 1402-1416

  Martinet, P ^a   Fourrie N ^a   Guidard, V ^a   Rabier, F ^a   Montmerle, T ^a   Brunel, P ^b  

^a CENTRE NATIONAL DE RECHERCHES MÉTÉOROLOGIQUES   (France)

^b MÉTÉO FRANCE   (France)

Author keywords

1D Var; Clouds; Convective scale NWP; IASI; RTTOV.

Indexed keywords

1D-VAR; CONVECTIVE-SCALE NWP; EFFECTIVE CLOUD FRACTION; IASI; INFRARED ATMOSPHERIC SOUNDING INTERFEROMETERS; NUMERICAL WEATHER PREDICTION; RADIATIVE TRANSFER MODEL; RTTOV;

ADVANCED VERY HIGH RESOLUTION RADIOMETERS (AVHRR); CARBON DIOXIDE; CLOUDS; LIQUIDS; RADIATIVE TRANSFER; WATER CONTENT; WEATHER FORECASTING;

VALUE ENGINEERING;

ALGORITHM; AVHRR; CLOUD MICROPHYSICS; CONVECTION; IASI; INFRARED RADIATION; RADIATIVE TRANSFER; SATELLITE IMAGERY; WATER CONTENT; WEATHER FORECASTING;

EID: 84880698800     PISSN: 00359009     EISSN: 1477870X     Source Type: Journal    
DOI: 10.1002/qj.2046     Document Type: Article

References (37)

1. Auligné T, Lorenc A, Michel Y, Montmerle T, Jones A, Hu M, Dudhia J. 2011. Toward a new cloud analysis and prediction system. Bull. Am. Meteorol. Soc. 92(2): 207-210, DOI: 10.1175/2010BAMS2978.1.
2. Bauer P, Geer AJ, Lopez P, Salmond D. 2010. Direct 4D-Var assimilation of all-sky radiances. Part I: Implementation. Q. J. R. Meteorol. Soc. 136: 1868-1885. DOI:10.1002/qj.659.
3. Berre L. 2000. Estimation of synoptic and mesoscale forecast error covariances in a limited area model. Mon. Weather Rev. 128: 644-667.
4. Berre L, Stefãnescu S-E, Belo Pereira M. 2006. The representation of the analysis effect in three error simulation techniques. Tellus 58A: 196-209.
5. Brousseau P, Berre L, Bouttier F, Desroziers G. 2010. Background error covariances for a convective scale data assimilation system: AROME 3D-Var. Q. J. R. Meteorol. Soc. 137: 409-422. DOI:10.1002/qj.750.
6. Bubnová R, Hello G, Bénard P, Geleyn J-F. 1995. Integration of the fully elastic equations cast in the hydrostatic pressure terrain-following coordinate in the framework of the ARPEGE/ALADIN NWP system. Mon. Weather Rev. 123: 515-535.
7. Caumont O, Ducrocq V, Wattrelot E, Jaubert G, Pradier-Vabre S. 2010. 1d+3dvar assimilation of radar reflectivity data: a proof of concept. Tellus. 62: 173-187.
8. Cayla F-R. 2001. 'AVHRR Radiance Analysis inside IASI FOV's', IA-TN-0000-2092-CNE, CNES internal report. http://smsc.cnes.fr/IASI/A_doc_scientif.htm.
9. Chalon G, Cayla F, Diebel D. 2001. 'IASI: An Advanced Sounder for Operational Meteorology'. In Proc. 52nd Congress of IAF, Toulouse, France, 1-5 Oct 2001; 9pp. http://smsc.cnes.fr/IASI/A_doc_scientif.htm.
10. Chevallier F, Bauer P, Mahfouf J-F, Morcrette E. 2002. Variational retrieval of cloud profile from ATOVS observations. Q. J. R. Meteorol. Soc. 129: 2511-2525.
11. Chevallier F, Lopez P, Tompkins A, Janisková M, Moreau E. 2004. The Capability of 4D-Var systems to assimilate cloud-affected satellite infrared radiances. Q. J. R. Meteorol. Soc. 130: 917-932.
12. Collard A. 2007. Selection of IASI channels for use in numerical weather prediction. Q. J. R. Meteorol. Soc. 133: 1977-1991.
13. Courtier P, Thépaut J-N, Hollingsworth A. 1994. A strategy for operational implementation of 4D-Var using an incremental approach. Q. J. R. Meteorol. Soc. 120: 1367-1387.
14. Desroziers G, Berre L, Pannekoucke O, Stefãnescu S-E, Brousseau P, Auger L, Chapnik B, Raynaud L. 2008. 'Flow-dependent error covariances from variational assimilation ensembles on global and regional domains', HIRLAM Technical Report No. 68. www.hirlam.org.
15. English S, Eyre J, Smith J. 1999. A cloud-detection scheme for use with satellite souding radiances in the context of data assimilation for numerical weather prediction. Q. J. R. Meteorol. Soc. 125: 2359-2378.
16. EPS Programme. 2010. 'IASI level1 Product Format Specification', Technical report EUM.EPS.SYS.SPE.990003. www.eumetsat.int.
17. Fischer C, Montmerle T, Berre L, Auger L, Stefanescu SE. 2005. An overview of the variational assimilation in the ALADIN/France numerical weather prediction system. Q. J. R. Meteorol. Soc. 131: 3477-3492.
18. Fourrié N, Rabier F. 2004. Cloud characteristics and channel selection for IASI radiances in meteorologically sensitive areas. Q. J. R. Meteorol. Soc. 128: 2551-2556.
19. Guidard V, Fourrié N, Brousseau P, Rabier F. 2010. Impact of IASI assimilation at global and convective scales and challenges for the assimilation of cloudy scenes. Q. J. R. Meteorol. Soc. 137: 1975-1987. DOI:10.1002/qj.928.
20. Hocking J, Rayer P, Saunders R, Matricardi M, Geer A, Brunel P. 2010. 'RTTOV v10 Users Guide', NWPSAF-MO-UD-023. EUMETSAT: Darmstadt, Germany.
21. Kelly G, Thépaut J-N. 2007. 'Evaluation of the impact of the space component of the Global Observing System through Observing System Experiments'. In Proceedings of Seminar on Recent Developments in the Use of Satellite Observations in Numerical Weather Prediction. ECMWF: Reading, UK; pp 327-348.
22. Lafore J-P, Stein J, Asencio N, Bougeault P, Ducrocq V, Duron J, Fischer C, Hreil P, Mascart P, Masson V, Pinty J-P, Redelsperger J-L, Richard E, Vilà-Guerau de Arellano J. 1998. The Meso-NH Atmospheric Simulation System. Part I: Adiabatic formulation and control simulations integration of the fully elastic equations cast in the hydrostatic pressure terrain-following coordinate in the framework of the ARPEGE/ALADIN NWP system. Ann. Geophys. 16: 90-109.
23. McNally AP. 2002. A note on the occurrence of cloud in meteorologically sensitive areas and the implications for advanced infrared sounders. Q. J. R. Meteorol. Soc. 128: 2551-2556.
24. McNally AP, Watts PD. 2003. A cloud detection algorithm for high spectral resolution infrared sounders. Q. J. R. Meteorol. Soc. 129: 3411-3423.
25. McNally AP. 2009. The direct assimilation of cloud-affected satellite infrared radiances in the ECMWF 4D-Var. Q. J. R. Meteorol. Soc. 135: 1214-1229.
26. Menzel WP, Smith W-L, Stewart TR. 1983. Improved cloud motion wind vector and altitude assignment using VAS. Amer. Meteorol. Soc. 22: 377-384.
27. Michel Y, Auligné T, Montmerle T. 2011. Heterogeneous convective-scale background error covariances with the inclusion of hydrometeor variables. Mon. Weather Rev. 139: 2994-3015.
28. Montmerle T, Faccani C. 2009. Mesoscale assimilation of radial velocities from Doppler radar in a pre-operational framework. Mon. Weather Rev. 137: 1937-1953.
29. Montmerle T, Berre L. 2010. Diagnosis and formulation of heterogeneous background-error covariances at the mesoscale. Q. J. R. Meteorol. Soc. 136: 1408-1420.
30. Pavelin EG, English SJ, Eyre JR. 2008. The assimilation of cloud-affected infrared satellite radiances for numerical weather prediction. Q. J. R. Meteorol. Soc. 134: 737-749.
31. Pavelin EG, Collard A. 2009. 'NWP SAF Met Office 1D-Var User Manual', NWPSAF-MO-UD-006. www.research.metoffice.gov.uk.
32. Pangaud T, Fourrié N, Guidard V, Dahoui M, Rabier F. 2009. Assimilation of AIRS radiances affected by mid-to low-level clouds. Mon. Weather Rev. 137: 4276-4292.
33. Péquignot E, Lonjou V. 2009. 'Dossier de définition des algorithmes IASI', CNES internal report, IA.DF.0000.2006.CNE. http://smsc.cnes.fr/IASI/A_doc_scientif.htm.
34. Rodgers CD. 2000. Inverse Methods for Atmospheric Soundings: Theory and Practice. World Scientific: Singapore.
35. Seity Y, Brousseau P, Malardel S, Hello G, Benard P, Bouttier F, Lac C, Masson V. 2010. The AROME-France convective-scale operational model. Mon. Weather Rev. 139: 976-991.
36. Stengel M, Lindskog M, Undén P, Gustafsson N, Bennartz R. 2010. An extended observation operator in HIRLAM 4D-VAR for the assimilation of cloud-affected satellite radiances. Q. J. R. Meteorol. Soc. 136: 1064-1074.
37. Weisz E, Li J, Menzel W-P, Heidinger A, Kahn B, Liu C-Y. 2007. Comparison of AIRS, MODIS, CloudSat and Calipso cloud top height retrievals. Geophys. Res. Lett. 34: L17811. DOI:10.1029/2007GL030676.