Daytime identification of summer hailstorm cells from MSG data

Natural Hazards and Earth System Sciences

Volumn 14, Issue 4, 2014, Pages 1017-1033

  Merino, A ^a   Lopez L ^a   Sanchez J L ^a   Garcia Ortega E ^a   Cattani, E ^b   Levizzani, V ^b  

^a UNIVERSITY OF LEÓN   (Spain)

^b INSTITUTE OF ATMOSPHERIC SCIENCES AND CLIMATE   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ATMOSPHERIC CONVECTION; CLOUD MICROPHYSICS; EXTREME EVENT; HAIL; ICE STORM; IDENTIFICATION METHOD; METEOSAT; SUMMER; VISUALIZATION;

EBRO VALLEY; SPAIN;

EID: 84922311809     PISSN: 15618633     EISSN: 16849981     Source Type: Journal    
DOI: 10.5194/nhess-14-1017-2014     Document Type: Article

References (40)

1. Applequist, S., Gahrs, G. E., and Pfeffer, R. L.: Comparison of methodologies for probabilistic quantitative precipitation forecasting, Wea. Forecasting, 17, 783-799, 2002.
2. Adler, R. F., Markus, M. J., Fenn, D. D., Szejwach, G., and Shenk, W. E.: Thunderstorm top structure observed by aircraft overflights with an infrared radiometer, J. Appl. Meteor., 22, 579-593, 1983.
3. Bastarrika, A., Chuvieco, E., and Martín, M. P.: Mapping burned areas from landsat TM/ETM+ data with a two-phase algorithm: Balancing omission and commission errors, Rem. Sensing Env., 115, 1003-1012, 2011.
4. Bedka, K. M., Brunner, J., Dworak, R., Feltz, W., Otkin, J., and Greenwald, T.: Objective satellite-based detection of overshooting tops using infrared window channel brightness temperature gradients, J. Appl. Meteor. Climatol., 49, 181-202, 2010.
5. Bedka, K. M.: Overshooting cloud top detections using MSG SEVIRI Infrared brightness temperatures and their relationship to severe weather over Europe, Atmos. Res., 99, 175-189, 2011.
6. Berendes, T. A., Mecikalski, J. R., MacKenzie, W. M., Bedka, K. M., and Nair, U. S.: Convective cloud identification and classification in daytime satellite imagery using standard deviation limited adaptive clustering, J. Geophys. Res., 113, D20207, doi:10.1029/2008JD010287, 2008.
7. Cattani, E., Melani, S., Levizzani, V., and Costa, M. J.: The retrieval of cloud top properties using VIS-IR channels, in: Measuring Precipitation from Space-EURAINSAT and the Future, edited by: Levizzani, V., Bauer, P., and Turk, F. J., Springer, 79-96, 2007.
8. Cattani, E., Torricella, F., Laviola, S., and Levizzani, V.: On the statistical relationship between cloud optical and microphysical characteristics and rainfall intensity for convective storms over the Mediterranean, Nat. Hazards Earth Syst. Sci., 9, 2135-2142, doi:10.5194/nhess-9-2135-2009, 2009.
9. Dworak, R., Bedka, K., Brunner, J., and Feltz, W.: Comparison between GOES-12 overshooting-top detections, WSR-88D radar reflectivity, and severe storm reports, Wea. Forecast., 27, 684-699, 2012.
10. Doswell, C. A. and Schultz, D. M.: On the use of indices and parameters in forecasting severe storm, Electronic J. Severe Storm Meteor., 1, 1-14, 2006.
11. Doswell, C. A., Brooks, H. E., and Maddox, R. A.: Flash flood forecasting: an ingredients-based methodology, Weather Forecast., 11, 560-581, 1996.
12. García-Ortega, E., López, L., and Sánchez, J. L.: Atmospheric patterns associated with hailstorm days in the Ebro Valley, Spain, Atmos. Res., 100, 401-427, 2011.
13. García-Ortega, E., Fita, L., Romero, R., López, L., Ramis, C., and Sánchez, J. L.: Numerical simulation and sensitivity study of a severe hailstorm in northeast Spain, Atmos. Res., 83, 225-241, 2007.
14. Hair Jr., F. J., Anderson, E. E., Tatham, R., and Black, W. C.: Análisis Multivariante, Prentice Hall, Madrid, 832 pp., 1999.
15. Henken, C. C., Schmeits, M. J., Deneke, H., and Roebeling, R. A.: Using MSG-SEVIRI cloud physical properties and weather radar observations for the detection of Cb/TCu clouds, J. Appl. Meteorol. Clim., 50, 1587-1600, 2011.
16. Heymsfield, G. M., Szejwach, G., Schotz, S., and Blackmer Jr., R. H.: Upper-level structure of Oklahoma tornadic storms on 2 May 1979. II: Proposed explanation of V pattern and internal warm region in infrared observations, J. Atmos. Sci., 22, 1756-1767, 1983.
17. Hosmer, D. W. and Lemeshow, S.: Applied Logistic Regression, Wiley Interscience, New York, 373 pp., 1989.
18. Inoue, T.: A cloud type classification with NOAA 7 split-window measurements, J. Geophys. Res., 92D, 3991-4000, 1987.
19. Johns, R. H. and Doswell III, C. A.: Severe local storms forecasting, Wea. Forecasting, 7, 588-612, 1992.
20. King, M. D., Kaufman, Y. J., Menzel, W. P., and Tanré, D.: Remote sensing of cloud, aerosol, and water vapor properties from the MODerate Resolution Imaging Spectrometer (MODIS), IEEE T. Geosci. Remote, 30, 2-27, 1992.
21. Kurino, T.: A satellite infrared technique for estimating deep/shallow precipitation, Adv. Space Res., 19, 511-514, 1997.
22. Lábó, E., Kerényi, J., and Putsay, M.: The parallax correction of MSG images on the basis of the SAFNWC cloud top height product, in: Proceedings EUMETSAT Meteorological Satellite Conf. and 15th Satellite Meteorology and Oceanography Conf. Amer. Meteor. Soc., Amsterdam, the Netherlands, 2007.
23. Lensky, I. M. and Rosenfeld, D.: Clouds-Aerosols-Precipitation Satellite Analysis Tool (CAPSAT), Atmos. Chem. Phys., 8, 6739-6753, doi:10.5194/acp-8-6739-2008, 2008.
24. Levizzani, V. and Setvák, M.: Multispectral, high-resolution satellite observations of plumes on top of convective storms, J. Atmos. Sci., 53, 361-369, 1996.
25. López, L., Marcos, J. L., Sánchez, J. L., Castro, A., and Fraile, R.: CAPE values and hailstorms on northwestern Spain, Atmos. Res., 56, 147-160, 2000.
26. López, L., García-Ortega, E., and Sánchez, J. L.: A short-term forecast model for hail, Atmos. Res., 83, 176-184, 2007.
27. López, L. and Sánchez, J. L.: Discriminant methods for radar detection of hail, Atmos. Res., 93, 358-368, 2009.
28. Marcos, C., and Rodriguez, A.: Algorithm Theoretical Basis Document for "Precipitation products from Cloud Physical Properties" (PPh-PGE14:PCPh v1.0 and CRPh v1.0) SAF/NWC/CDOP2/INM/SCI/ATBD/14, Issue 1, Rev. 0, July 2013.
29. Mecikalski, J. R., Mackenzie, W. M., König, M., and Muller, S.: Cloud-top properties of growing cumulus prior to convective initiation as measured by meteosat second generation. Part II: Use of visible reflectance, J. Appl. Meteorol. Clim., 49, 2544-2558, 2010.
30. Mecikalski, J. R., Watts, P. D., and Koenig, M.: Use of Meteosat Second Generation optimal cloud analysis fields for understanding physical attributes of growing cumulus clouds, Atmos. Res., 102, 175-190, 2011.
31. Minnis, P., Kratz, D. P., Coakley Jr., J. A., King, M. D., Garber, D., Heck, P., Mayor, S., Young, D. F., and Arduini, R.: Cloud Optical Property Retrieval (Subsystem 4.3), Clouds and the Earth's Radiant Energy System (CERES) Algorithm Theoretical Basis Document. Volume III: Cloud Analyses and Radiance Inversions (Subsystem 4), NASA RP 1376 vol. 3, CERES Science Team, 135-176, 1995.
32. Nakajima, T. and King, M. D.: Determination of the optical thickness and effective particle radius of clouds from reflected solar radiation measurements, Part I: Theory, J. Atmos. Sci., 47, 1878-1893, 1990.
33. Rosenfeld, D., Woodley, W. L., Lerner, A., Kelman, G., and Lindsey, D. T.: Satellite detection of severe convective storms by their retrieved vertical profiles of cloud particle effective radius and thermodynamic phase, J. Geophys. Res., 113, D04208, doi:10.1029/2007JD008600, 2008.
34. Sánchez, J. L., Gil-Robles, B., Dessens, J., Martin, E., López, L., Marcos, J. L., Berthet, C., Fernández, J. T., and García-Ortega, E.: Characterization of hailstone size spectra in hailpad networks in France, Spain, and Argentina, Atmos. Res., 93, 641-654, 2009.
35. Schmetz, J., Tjemkes, S. A., Gube, M., and Van de Berg, L.: Monitoring deep convection and convective overshooting with Meteosat, Adv. Space Res., 19, 433-441, 1997.
36. Schmetz, J., Pili, P., Tjemkes, S., Just, D., Kerkmann, J., Rota, S., and Ratier, A.: An introduction to Meteosat Second Generation (MSG), B. Am. Meteorol. Soc., 79, 2457-2476, 2002.
37. Setvák, M., Lindsey, D. T., Novák, P., Wang, P. K., Radová, M., Kerkmann, J., Grasso, L., Su, S.-H., Rabin, R. M., Št'ástka, J., and Charvát, Z.: Satellite-observed cold-ring-shaped features atop deep convective clouds, Atmos. Res., 97, 80-96, 2010.
38. Strabala, K. I., Ackerman, S. A., and Menzel, W. P.: Cloud properties infrared from 8-12 μm Data, J. Appl. Meteorol., 33, 212-229, 1994.
39. Vicente, G. A., Davenport, J. C., and Scofield, R. A.: The role of orographic and parallax corrections on real time high resolution satellite rainfall rate distribution, Int. J. Remote Sens., 203, 221-230, 2002.
40. Zinner, T., Mannstein, H., and Tafferner, A.: Cb-TRAM: Tracking and monitoring severe convection from onset over rapid development to mature phase using multichannel Meteosat-8 SEVIRI data, Meteorol. Atmos. Phys., 101, 191-210, 2008.