Cloud characterization for cloudy radiance assimilation
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1 Cloud characterization for cloudy radiance assimilation Lydie Lavanant 1, Arlindo Arriaga 2, Nadia Fourrié 3, Antonia Gambacorta 4, Giuseppe Grieco 5, Sylvain Heilliette 6, Fiona Hilton 7, Min-Jeong Kim 8, Tony McNally 9, Hidenori Nishihata 10, Ed Pavelin 8, Florence Rabier 3, Ben Ruston 11, Claudia Stubenrauch 12 1 Météo-France/CMS 2 EUMETSAT 3 Météo-France/CNRM 4 NOAA 5 UNIBAS 6 Centre Météorologique Canadien 7 MetOffice 8 NCEP 9 ECMWF 9 Japan Meteorological Agency 11 Naval Research Laboratory 12 Laboratoire de Météorologie Dynamique ISSWG: recommendation for an intercomparison of clouds products within IASI field of views, october In parallel, proposal by WGNE to intercompare the assimilation of cloudy radiances. Initial study endorsed by WGNE, which helped embark a few more NWP centres
2 IASI Cloud products Intercomparison Teams: MF/CMS MF/CNRM EUMETSAT ECMWF (low opaque. 255 sits) NOAA CMC METO METO oper (cloud amount) JMA NRL (clear sit.) LMD NCEP UNIBAS (cloud flag) Rationale: The first step is to detect and characterize the clouds in the footprint of the sounder. One way of investigating the limitations of a particular methodology is to perform a careful intercomparison of the results of different processing schemes for the same observations. Experimental settings: All methods are applied to a 12-h global acquisition on 18 Nov
3 IASI Cloud products Intercomparison Various methods of detection and characterization: Mainly CO2-slicing methods (CNRM/GMAP, CMC, EUMETSAT, JMA, MF/CMS) Cloud-clearing method using the 2x2 IASI spots in conjunction with AMSU and MHS (NOAA) 1D-Var (MetOffice) minimum residual method (NCEP) Weighted χ2 method (LMD) Use of AVHRR information (MF/CMS, CMC) Settings differ: from 8 channels to 92 channels. 165 for NCEP 1 reference channel for all channels or couples of channels And many other differences 3 single layer cloud or multiple layer (up to 3) clouds (NOAA, MF/CMS) RT models: RTTOV (from 7 to 9.3), RTIASI, SARTA, 4A, CRTM FOV to which the method is applied A priori: NWP forecast or climatology (NOAA, LMD)
4 Examples of cloud top pressure over the globe MetOffice NCEP MF/CMS CMC The main meteorological structures have been retrieved by all the schemes but the cloud heights can be very different 4
5 Examples of Cloud pressure scatterplots CNRM 5 Large discrepancies can be observed for small cloud effective amount situations Effective amount
6 Cloud pressure statistics. All data nb mean / sig (hpa) correlation MF/CNRM METO EUMETSA T JMA CMC ECMWF NOAA NCEP MF/CMS MF/CNRM METO EUMETSA T JMA CMC ECMWF NOAA / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / /
7 Cloud products Intercomparison Distribution of cloud layers CNRM Histogram of the differences in cloud effective amount with METO CNRM 7
8 Nb of cloud layers Based on AVHRR clusters and ΔTcld >1K overcast / opaque single layer Overcast(AVHRR cloud cover >.98) Thick (Tcld) effective amount can be smaller Opaque: cloud effective amount > layer 2 layers 3 layers
9 Cloud distribution for single layer situations Overcast thick single layer. CMS definition CNRM 2 peaks, better defined than with all situations 66 9
10 Overcast and «thick» single layer. CMS definition CNRM 10 Effective amount:
11 Overcast «thick» single layer. CMS definition MF/CNRM METO EUMETSA T JMA CMC ECMWF NOAA NCEP MF/CMS MF/CNRM EUMETSA T ECMWF 11 METO JMA CMC NOAA / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / /
12 Conclusions The main meteorological structures have been retrieved by all the schemes Cloud heights: In spite of different retrieval methods, MetO, NCEP, ECMWF, CMC, MF/CNRM and MF/CMS outputs are close Similar methods lead to similar results (CMC and MF/CNRM); reversely, larger differences come from different methods (CO 2 -slicing and Cloud-clearing). Larger differences near the surface: accuracy on Ts and T profile in low levels required Single overcast and thick cloud layers: occurrence of these situations is about 50% in this study Correlations between schemes larger than.95 for these situations ECMWF overcast/opaque situations often determined with effective emissivity<1 by the other teams. But good coherence in cloud height. Publication: In special issue of Quarterly Journal of the Royal Meteorological Society 12
13 Comparison with A-Train on-going + Concordiasi dropsonde s 13
14 14
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