Geostationary infrared methods for detecting lightning‐producing cumulonimbus clouds

[1] This study documents the behavior of cloud top infrared (IR) fields known to describe physical processes associated with growing convective clouds, for 30 nonlightning and 33 cloud-to-ground (CG) lightning-producing convective storms. The goal is to define “critical” threshold values for up to 10 IR fields that delineate lightning from nonlightning convective storms. Meteosat Second Generation and United Kingdom Meteorological Office very low frequency arrival time difference satellite and lightning data, respectively, were used in this study. These were collected during the National Aeronautics and Space Administration (NASA) African Monsoon Multidisciplinary Analyses (NAMMA) field campaign in August–September 2006 in Equatorial Africa. The main conclusions show that eight of 10 IR fields that describe updraft strength, cloud depth, and glaciation (or ice at cloud top) are significantly different between the nonlightning and lightning-producing convective clouds. The lack of notch overlap in “box and whiskers” plots confirms a 95% confidence that the two data sets are different. Nonlightning-producing clouds are far less vertically developed and possess >50% weaker updrafts (as estimated from satellite trends), as well as little to no evidence of ice or glaciation at cloud top. Results from this study therefore can be used to nowcast and identify with high confidence convective clouds that are producing or are going to produce CG lightning using Meteosat data, assuming appropriate tracking of growing cumulus clouds is performed.

[1]  F. Roux,et al.  Case Study of a Developing African Easterly Wave during NAMMA: An Energetic Point of View , 2009 .

[2]  Philip A. Durkee,et al.  The Definition of GOES Infrared Lightning Initiation Interest Fields , 2010 .

[3]  Wayne M. MacKenzie,et al.  Cloud-Top Properties of Growing Cumulus prior to Convective Initiation as Measured by Meteosat Second Generation. Part I: Infrared Fields , 2010 .

[4]  Johannes Schmetz,et al.  Deep convection observed by the Spinning Enhanced Visible and Infrared Imager on board Meteosat 8: Spatial distribution and temporal evolution over Africa in summer and winter 2006 , 2009 .

[5]  C. Saunders,et al.  A modelling study of the effect of cloud saturation and particle growth rates on charge transfer in thunderstorm electrification , 2005 .

[6]  Kuoying Wang,et al.  Lightning, radar reflectivity, infrared brightness temperature, and surface rainfall during the 2–4 July 2004 severe convective system over Taiwan area , 2006 .

[7]  J. Mecikalski,et al.  Cloud-Top Properties of Growing Cumulus prior to Convective Initiation as Measured by Meteosat Second Generation. Part II: Use of Visible Reflectance , 2010 .

[8]  Steven Businger,et al.  Relationships among Lightning, Precipitation, and Hydrometeor Characteristics over the North Pacific Ocean* , 2009 .

[9]  Milan Salek,et al.  Tornadoes within the Czech Republic: from early medieval chronicles to the "internet society" , 2003 .

[10]  M. King,et al.  Determination of the optical thickness and effective particle radius of clouds from reflected solar , 1990 .

[11]  R. Adler,et al.  Detection of Severe Midwest Thunderstorms Using Geosynchronous Satellite Data , 1985 .

[12]  W. Petersen,et al.  Total lightning activity as an indicator of updraft characteristics , 2008 .

[13]  T. Krishnamurti,et al.  Energy Transformation and Diabatic Processes in Developing and Nondeveloping African Easterly Waves Observed during the NAMMA Project of 2006 , 2009 .

[14]  Raúl E. López,et al.  Deaths, injuries, and damages from lightning in the United States in the 1890s in comparison with the 1990s , 2005 .

[15]  C. Rodger,et al.  Location accuracy of long distance VLF lightning locationnetwork , 2004 .

[16]  C. Saunders,et al.  Further laboratory investigations into the Relative Diffusional Growth Rate theory of thunderstorm electrification , 2010 .

[17]  W. Petersen,et al.  On the relationship between cloud‐to‐ground lightning and convective rainfall , 1998 .

[18]  Kristopher M. Bedka,et al.  A Statistical Evaluation of GOES Cloud-Top Properties for Nowcasting Convective Initiation , 2008 .

[19]  S. Rutledge,et al.  Characteristics of an African Easterly Wave Observed during NAMMA , 2010 .

[20]  S. Businger,et al.  A Lightning Prediction Index that Utilizes GPS Integrated Precipitable Water Vapor , 2002 .

[21]  Jothiram Vivekanandan,et al.  Ice Water Path Estimation and Characterization Using Passive Microwave Radiometry , 1991 .

[22]  Steven A. Ackerman,et al.  Global Satellite Observations of Negative Brightness Temperature Differences between 11 and 6.7 µm , 1996 .

[23]  E. Zipser,et al.  Radar, Passive Microwave, and Lightning Characteristics of Precipitating Systems in the Tropics , 2002 .

[24]  Johannes Schmetz,et al.  Monitoring deep convection and convective overshooting with METEOSAT , 1997 .

[25]  Steven Platnick,et al.  Vertical Photon Transport in Cloud Remote Sensing Problems , 2013 .

[26]  J. Otkin,et al.  Validation of a Large-Scale Simulated Brightness Temperature Dataset Using SEVIRI Satellite Observations , 2009 .

[27]  C. Thorncroft,et al.  African Monsoon Multidisciplinary Analysis: An International Research Project and Field Campaign , 2006 .

[28]  Raúl E. López,et al.  Changes in the Number of Lightning Deaths in the United States during the Twentieth Century , 1998 .

[29]  Charles A. Doswell,et al.  The AVHRR Channel 3 Cloud Top Reflectivity of Convective Storms , 1991 .

[30]  James F. W. Purdom,et al.  Some Uses of High-Resolution GOES Imagery in the Mesoscale Forecasting of Convection and Its Behavior , 1976 .

[31]  John R. Walker,et al.  An Enhanced Geostationary Satellite–Based Convective Initiation Algorithm for 0–2-h Nowcasting with Object Tracking , 2012 .

[32]  J. Tukey,et al.  Variations of Box Plots , 1978 .

[33]  G. Jenkins,et al.  Saharan dust, lightning and tropical cyclones in the eastern tropical Atlantic during NAMMA‐06 , 2008 .

[34]  Charles A. Doswell,et al.  Satellite observations of convective storm tops in the 1.6, 3.7 and 3.9 μm spectral bands , 2003 .

[35]  E. Williams,et al.  Radar Observations of Convective System Variability in Relationship to African Easterly Waves during the 2006 AMMA Special Observing Period , 2009 .

[36]  Robert F. Adler,et al.  Thunderstorm Intensity as Determined from Satellite Data , 1979 .

[37]  A. V. Delden,et al.  Thunderstorm predictors and their forecast skill for the Netherlands , 2003 .

[38]  F. Joseph Turk,et al.  Stratus and Fog Products Using GOES-8–9 3.9-μm Data , 1997 .

[39]  Steven A. Rutledge,et al.  Nowcasting Storm Initiation and Growth Using GOES-8 and WSR-88D Data , 2003 .

[40]  John T. Young,et al.  The Man computer Interactive Data Access System: 25 Years of Interactive Processing , 1999 .

[41]  Itamar M. Lensky,et al.  The time-space exchangeability of satellite retrieved relations between cloud top temperature and particle effective radius , 2005 .

[42]  Robbie Hood,et al.  The Saharan Air Layer and the Fate of African Easterly Waves—NASA's AMMA Field Study of Tropical Cyclogenesis , 2009 .

[43]  J. Mecikalski,et al.  Use of Meteosat Second Generation optimal cloud analysis fields for understanding physical attributes of growing cumulus clouds , 2011 .

[44]  Raúl E. López,et al.  Lightning Casualties and Damages in the United States from 1959 to 1994 , 2000 .

[45]  E. Zipser,et al.  Reflectivity, Ice Scattering, and Lightning Characteristics of Hurricane Eyewalls and Rainbands. Part II: Intercomparison of Observations , 2002 .

[46]  J. Mecikalski,et al.  Forecasting Convective Initiation by Monitoring the Evolution of Moving Cumulus in Daytime GOES Imagery , 2004 .

[47]  J. Knaff,et al.  GOES Climatology and Analysis of Thunderstorms with Enhanced 3.9-μm Reflectivity , 2006 .

[48]  Guy Kelman,et al.  Satellite detection of severe convective storms by their retrieved vertical profiles of cloud particle effective radius and thermodynamic phase , 2008 .

[49]  E. Zipser,et al.  Observations of Seven African Easterly Waves in the East Atlantic during 2006 , 2010 .

[50]  D. McCann.  The Enhanced-V: A Satellite Observable Severe Storm Signature , 1983 .

[51]  W. Paul Menzel,et al.  Remote sensing of cloud properties using MODIS airborne simulator imagery during SUCCESS: 2. Cloud thermodynamic phase , 2000 .

[52]  Anthony C. L. Lee,et al.  An Operational System for the Remote Location of Lightning Flashes Using a VLF Arrival Time Difference Technique , 1986 .

[53]  D. MacGorman,et al.  The Evolution of a Severe Mesoscale Convective System: Cloud-to-Ground Lightning Location and Storm Structure , 1991 .

[54]  R. Blumenthal.  Lightning Fatalities on the South African Highveld: A Retrospective Descriptive Study for the Period 1997 to 2000 , 2005, The American journal of forensic medicine and pathology.

[55]  Jungang Miao,et al.  Detection of tropical deep convective clouds from AMSU-B water vapor channels measurements , 2005 .

[56]  R. Adler,et al.  Satellite-observed cloud-top height changes in tornadic thunderstorms , 1981 .

[57]  W. Paul Menzel,et al.  Cloud Properties inferred from 812-µm Data , 1994 .

[58]  S. Rutledge,et al.  A radar and electrical study of tropical hot towers , 1992 .

[59]  Fluctuations of Lightning Casualties in the United States: 1959–1990 , 1996 .

[60]  Oreste Reale,et al.  Atlantic Tropical Cyclogenetic Processes During Sop-3 Namma in the Geos-5 Global Data Assimilation and Forecast System , 2013 .

[61]  J. Schmetz,et al.  AN INTRODUCTION TO METEOSAT SECOND GENERATION (MSG) , 2002 .

[62]  Emmanouil N. Anagnostou,et al.  Evaluation of a long-range lightning detection network with receivers in Europe and Africa , 2006, IEEE Transactions on Geoscience and Remote Sensing.