A land and ocean microwave cloud classification algorithm derived from AMSU-A and -B, trained using MSG-SEVIRI infrared and visible observations

Monthly Weather Review

Volumn 139, Issue 8, 2011, Pages 2347-2366

  Aires, Ilipe ^a   Marquisseau, Rancis ^a   Prigent, Atherine ^b   Séze, Genevíve ^a  

^a SORBONNE UNIVERSITÉ   (France)

^b OBSERVATOIRE DE PARIS   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ADVANCED MICROWAVE SOUNDING UNITS; ATMOSPHERIC PARAMETERS; CLASSIFICATION ALGORITHM; CLEAR SKY; CLOUD CLASSIFICATION; CLOUD MASK ALGORITHMS; CLOUD MASKS; CONFIDENCE LEVELS; INFORMATION CONTENT ANALYSIS; INFRARED DATA; INFRARED IMAGERS; METEOSAT; MICROWAVE SATELLITE OBSERVATIONS; SATELLITE OBSERVATIONS;

ALGORITHMS; CLOUDS; MICROWAVES; SOUNDING APPARATUS; WEATHER SATELLITES;

OCEANOGRAPHY;

ALGORITHM; CLOUD; MARINE ATMOSPHERE; METEOSAT; MICROWAVE RADIOMETER; OBSERVATIONAL METHOD; PRECISION; SEVIRI;

EID: 80052414657     PISSN: 00270644     EISSN: None     Source Type: Journal    
DOI: 10.1175/MWR-D-10-05012.1     Document Type: Article

References (40)

1. Ackerman, S., K. Strabala, W. Menzel, R. Frey, C. Moeller, and L. Gumley, 1998: Discriminating clear sky from clouds with MODIS. J. Geophys. Res., 103 (D24), 32 141-32 157.
2. Aires, F., C. Prigent, W. Rossow, and M. Rothstein, 2001: A new neural network approach including first-guess for retrieval of atmospheric water vapour, cloud liquid water path, surface temperature and emissivities over land from satellite microwave observations. J. Geophys. Res., 106 (D14), 14 887-14 907.
3. Alishouse, J., S. Snyder, V. Jennifer, and R. Ferraro, 1990: Determination of oceanic total precipitable water from the SSM/I. IEEE Trans. Geosci. Remote Sens., 28, 811-816.
4. Ambroise, C., G. Sze, F. Badran, and S. Thiria, 2000: Hierarchical clustering of self-organizing maps for cloud classification. Neurocomputing, 30, 47-52.
5. Baum, B., V. Tovinkere, J. Titlow, and R. Welch, 1997: Automated cloud classification of global AVHRR data using a fuzzy logic approach. J. Appl. Meteor., 36, 1519-1540.
6. Bishop, C., 1996: Neural Networks for Pattern Recognition. Oxford University Press, 482 pp.
7. Coakley, J., 1983: Properties of multilayered cloud systems from satellite imagery. J. Geophys. Res., 88 (C15), 10 818-10 828.
8. Cybenko, G., 1989: Approximation by superpositions of a sigmoidal function. Math. Control Signals Syst., 2, 303-314.
9. Derrien, M., and H. L. Gléau, 2005: MSG/SEVIRI cloud mask and type from SAFNWC. Int. J. Remote Sens., 26, 4707-4732.
10. Derrien, M., and H. L. Gléau, 2010: Improvement of cloud detection near sunrise and sunset by temporal-differencing and region-growing techniques with real-time SEVIRI. Int. J. Remote Sens., 31, 1765-1780.
11. Desbois, M., G. Séze, and G. Szejwach, 1982: Automatic classification of clouds on Meteosat imagery: Application to highlevel clouds. J. Appl. Meteor., 21, 401-412.
12. Engelen, R., and G. Stephens, 1999: Characterization of water vapor retrievals from infrared TOVS radiances and microwave SSM/T-2 radiances. Quart. J. Roy. Meteor. Soc., 125, 331-351.
13. Ferraro, R., F. Weng, N. Grody, and A. Basist, 1996: An eight-year (1987-1994) time series of rainfall, clouds, water vapor, snow cover, and sea ice derived from SSM/I measurements. Bull. Amer. Meteor. Soc., 77, 891-905.
14. Frey, R., S. Ackerman, Y. Liu, K. Strabala, H. Zhang, J. Key, and X. Wang, 2008: Cloud detection with MODIS. Part I: Improvements in the MODIS cloud mask for collection 5. J. Atmos. Oceanic Technol., 25, 1057-1072.
15. Govaerts, Y., A. Arriaga, and J. Schmetz, 2001: Operational vicarious calibration of the MSG/SEVIRI solar channels. Adv. Space Res., 28, 21-30, doi:10.1016/S0273-1177(01)00269-1.
16. Greenwald, T., and S. Christopher, 2002: Effect of cold clouds on satellite measurements near 183 GHz. J. Geophys. Res., 107, 4170, doi:10.1029/2000JD000258.
17. Greenwald, T., G. Stephens, T. V. Haar, and D. Jackson, 1993: A physical retrieval of cloud liquid water over the global oceans using Special Sensor Microwave/Imager (SSM/I) observations. J. Geophys. Res., 98 (D10), 18 471-18 488.
18. Holz, R., S. Ackerman, F. Nagle, R. Frey, S. Dutcher, R. Kuehn, M. Vaughan, and B. Baum, 2008: Global Moderate Resolution Imaging Spectroradiometer (MODIS) cloud detection and height evaluation using CALIOP. J. Geophys. Res., 113, D00A19, doi:10.1029/2008JD009837.
19. Hong, F., and G. Heygster, 2005: Detection of tropical deep convective clouds from AMSU-B water vapor channels measurements. J. Geophys. Res., 110, D05205, doi:10.1029/2004JD004949.
20. Hornik, K., M. Stinchcombe, and H. White, 1989: Multilayer feedforward networks are universal approximators. Neural Networks, 2, 359-366.
21. Inoue, T., 1985: On the temperature and effective emissivity determination of semitransparent cirrus clouds by bi-spectral measurements in the 10 mm window region. J. Meteor. Soc. Japan, 63, 88-99.
22. Jin, Y., and W. Rossow, 1997: Detection of cirrus overlapping lowlevel clouds. J. Geophys. Res., 102, 1727-1737.
23. Krzanowski, W. J., 1988: Principles of Multivariate Analysis. Clarendon Press, 563 pp.
24. Miller, S., and W. Emery, 1997: An automated neural network cloud classifier for use over land and ocean surfaces. J. Appl. Meteor., 36, 1346-1362.
25. Minnis, P., J. Huang, B. Lin, Y. Yi, R. Arduini, T.-F. Fan, J. Ayers, and G. Mace, 2007: Ice cloud properties in ice-over-water cloud systems using Tropical Rainfall Measuring Mission (TRMM) visible and infrared scanner and TRMMMicrowave Imager data. J. Geophys. Res., 112, D06206, doi:10.1029/2006JD007626.
26. O'Dell, C., J. Wentz, and R. Bennartz, 2008: Cloud liquid water path from satellite-based passive microwave observations: A new climatology over the global oceans. J. Climate, 21, 1721-1739.
27. Prigent, C., F. Aires, and W. Rossow, 2001: Joint characterization of the vegetation by satellite observations from visible to microwavelengths: A sensitivity analysis. J. Geophys. Res., 106, 20 665-20 685.
28. Prigent, C., F. Aires, and W. Rossow, 2006: Land surface microwave emissivities over the globe for a decade. Bull. Amer. Meteor. Soc., 87, 1572-1584.
29. Prigent, C., F. Papa, F. Aires, W. Rossow, and E. Matthews, 2007: Global inundation dynamics inferred from multiple satellite observations, 1993-2000. J. Geophys. Res., 112, D12107, doi:10.1029/2006JD007847.
30. Prigent, C., E. Jaumouille, F. Chevallier, and F. Aires, 2008: A parameterization of the microwave land surface emissivity between 19 and 100 GHz, anchored to satellite-derived estimates. IEEE Trans. Geosci. Remote Sens., 46, 344-352.
31. Radnoti, G., P. Bauer, A. McNally, C. Cardinali, S. Healy, and P. de Rosnay, 2010: ECMWF study on the impact of future developments of the space-based observing system on numerical weather prediction. ECMWF Tech. Memo. 638, 115 pp.
32. Rossow, W., and R. Schiffer, 1999: Advances in understanding clouds from ISCCP. Bull. Amer. Meteor. Soc., 80, 2261-2287.
33. Rossow, W., and Coauthors, 1985: ISCCP Cloud Algorithm Intercomparison. J. Climate Appl. Meteor., 24, 877-903.
34. Rumelhart, D., G. Hinton, and R. Williams, 1986: Learning internal representations by error propagation. Parallel Distributed Processing, D. Rumelhart and J. McClelland, Eds., Vol. I, The MIT Press, 318-362.
35. Saunders, R., 1986: An automated scheme for the removal of cloud contamination from AVHRR radiances over western Europe. Int. J. Remote Sens., 7, 867-886.
36. Schmetz, J., P. Pili, S. Tjemkes, D. Just, J. Kerkmann, S. Rota, and A. Ratier, 2002: An introduction to the Meteosat Second Generation (MSG). Bull. Amer. Meteor. Soc., 83, 977-992.
37. Seber, G., 1984: Multivariate Observations. J. Wiley and Sons, 686 pp.
38. Śze, G., and H. Pawlowska, 2001: Cloud cover analysis with Meteosat-5 during INDOEX. J. Geophys. Res., 106 (D22), 28 415-28 426.
39. Śze, G.,H. L. Gléau,M. Derrien, B. Six, and J. Pelon, 2009: Evaluation of the global cloud cover parameters obtained from geostationary data in the frame of theMegha-Tropiques mission with CALIPSO lidar observations. Proc. 2009 EUMETSAT Meteorological Satellite Conf., Bath, United Kingdom, EUMETSAT. [Available online at http://www.eumetsat.int/Home/Main/AboutEUMETSAT/Publications/ConferenceandWorkshopProceedings/SP_201001515267179?l=en.]
40. Weng, F., L. Zhao, R. Ferraro, G. Poe, X. Li, and N. Grody, 2003: Advanced microwave sounding unit cloud and precipitation algorithms. Radio Sci., 38, 8086-8096.