Error analysis for a long‐range lightning monitoring network of ground‐based receivers in Europe

[1] An experimental long-range lightning detection system consisting of a network (ZEUS) of six ground-based radio receivers has been deployed in Europe and has been operated since June 2001. The receivers detect and measure the electromagnetic signal emitted by a lightning source in the Very Low Frequency band, between 5 and 15 kHz (sferics), which propagates over thousands of kilometers in the Earth-ionosphere waveguide. In this study, lightning location retrievals from the ZEUS network are compared against more definitive sources in order to investigate issues on long-range lightning retrieval accuracy and detection efficiency. The validation study is carried out over three regions: the U.S. East Coast/Northwestern Atlantic, the African continent, and within the network (Spain). Data originate from the U.S. National Lightning Detection Network, the Lighting Imaging Sensor aboard the Tropical Rainfall Measurement Mission Satellite, and the Spanish National Lightning Network. We investigate the nature of the errors involved in the lightning location retrieval, and propose a new approach for moderating some of these effects. Location errors are shown to vary between 40 and 400 km (mode at 220 km) for very long ranges (>5000 km). Within the network, the distance error does not exceed 40 km (mode at 20 km). Random simulation results are shown to be in good agreement with validation data. Error reduction of 12% (or 20 km at long-range) can be achieved by accommodating for the varying propagation velocities in the sferics wave. The long-range detection efficiency is shown to have a mode at approximately 20% and a relatively small spread with no obvious deviation from day to night.

[1]  Sue A. Ferguson,et al.  Characteristics of Lightning and Wildland Fire Ignition in the Pacific Northwest , 1999 .

[2]  A. C. Lee,et al.  An experimental study of the remote location of lightning flashes using a VLF arrival time difference technique , 1986 .

[3]  Colin Price,et al.  Vertical distributions of lightning NOx for use in regional and global chemical transport models , 1998 .

[4]  James R. Wait,et al.  REFLECTION OF ELECTROMAGNETIC WAVES FROM HORIZONTALLY STRATIFIED MEDIA , 1970 .

[5]  Emmanouil N. Anagnostou,et al.  Extending the Capabilities of High-Frequency Rainfall Estimation from Geostationary-Based Satellite Infrared via a Network of Long-Range Lightning Observations , 2003 .

[6]  R. Challinor The phase velocity and attenuation of audio-frequency electro-magnetic waves from simultaneous observations of atmospherics at two spaced stations , 1967 .

[7]  James E. Dye,et al.  A cloud‐scale model study of lightning‐generated NO x in an individual thunderstorm during STERAO‐A , 2000 .

[8]  Emmanouil N. Anagnostou,et al.  New receiver network advances long‐range lightning monitoring , 2002 .

[9]  John M. Hall,et al.  The Lightning Imaging Sensor , 1999 .

[10]  L. R. Hitney,et al.  Empirical modeling of nighttime easterly and westerly VLF propagation in the Earth-ionosphere waveguide , 1987 .

[11]  W. J. Koshak,et al.  TOA Lightning Location Retrieval on Spherical and Oblate Spheroidal Earth Geometries , 2001 .

[12]  Tsutomu Takahashi,et al.  NOTES AND CORRESPONDENCE Reexamination of Riming Electrification in a Wind Tunnel , 2002 .

[13]  E. Williams The Schumann Resonance: A Global Tropical Thermometer , 1992, Science.

[14]  P. Jamason,et al.  Performance evaluation of the U.S. National Lightning Detection , 1998 .

[15]  Kenneth L. Cummins,et al.  A Combined TOA/MDF Technology Upgrade of the U.S. National Lightning Detection Network , 1998 .

[16]  S. Goodman Predicting thunderstorm evolution using ground-based lightning detection networks , 1990 .

[17]  E. Williams Global Circuit Response to Seasonal Variations in Global Surface Air Temperature , 1994 .

[18]  E. A. Lewis,et al.  Hyperbolic direction finding with sferics of transatlantic origin , 1960 .

[19]  Emmanouil N. Anagnostou,et al.  Assessment of the Use of Lightning Information in Satellite Infrared Rainfall Estimation , 2000 .

[20]  K. G. Budden I. The propagation of a radio-atmospheric , 1951 .

[21]  M. Shafer,et al.  Cloud-to-Ground Lightning throughout the Lifetime of a Severe Storm System in Oklahoma , 2000 .

[22]  Robert F. Adler,et al.  A Proposed Tropical Rainfall Measuring Mission (TRMM) Satellite , 1988 .

[23]  P. Jamason,et al.  Performance evaluation of the U.S. National Lightning , 1998 .

[24]  D. E. Proctor A hyperbolic system for obtaining VHF radio pictures of lightning , 1971 .

[25]  William J. Koshak,et al.  Data Retrieval Algorithms for Validating the Optical Transient Detector and the Lightning Imaging Sensor , 2000 .

[26]  H. Volland,et al.  Handbook of atmospheric electrodynamics , 1995 .

[27]  R. Orville Cloud‐to‐ground lightning flash characteristics in the contiguous United States: 1989–1991 , 1994 .

[28]  K. Cummins,et al.  Combined Satellite- and Surface-Based Estimation of the Intracloud Cloud-to-Ground Lightning Ratio over the Continental United States , 2001 .

[29]  R. Dickerson,et al.  Nitric oxide production by simulated lightning: Dependence on current, energy, and pressure , 1998 .

[30]  C. Grandt Thunderstorm monitoring in South Africa and Europe by means of very low frequency sferics , 1992 .

[31]  L. C. Brown,et al.  Diffusion in evaporated films of gold-aluminium , 1962 .

[32]  W. L. Taylor VLF attenuation for east‐west and west‐east daytime propagation using atmospherics , 1960 .

[33]  H. J. Hagger,et al.  Electromagnetic Waves in Stratified Media , 1996 .

[34]  William J. Koshak,et al.  On the retrieval of lightning radio sources from time-of-arrival data , 1996 .

[35]  Richard J. Blakeslee,et al.  Lightning Imaging Sensor (LIS) for the Earth Observing System , 1992 .

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

[37]  W. Koshak,et al.  The Optical Transient Detector (OTD): Instrument Characteristics and Cross-Sensor Validation , 2000 .

[38]  Richard A. Pappert,et al.  A Numerical Investigation of Classical Approximations Used in VLF Propagation , 1967 .

[39]  J. Wait A diffraction theory for LF sky‐wave propagation , 1961 .

[40]  E. Williams,et al.  Microphysical growth state of ice particles and large‐scale electrical structure of clouds , 1994 .

[41]  Richard J. Blakeslee,et al.  Lightning Imaging Sensor (LIS) for the International Space Station , 2001 .

[42]  Hugh J. Christian,et al.  A computational study of the relationships linking lightning frequency and other thundercloud parameters , 1995 .

[43]  E. Philip Krider,et al.  75 Years of Research on the Physics of a Lightning Discharge , 1996 .

[44]  D. S. Fligel,et al.  Propagation of ELF and VLF waves near the earth , 1970 .

[45]  Morales Rodriguez,et al.  Continuous thunderstorm monitoring: Retrieval of precipitation parameters from lightning observations , 2001 .

[46]  Claire L. Parkinson,et al.  Atlas of satellite observations related to global change , 1993 .

[47]  Richard J. Blakeslee,et al.  The detection of lightning from geostationary orbit , 1989 .

[48]  G. Ries Diurnal Phase Change of VLF Signals Propagated Over Long Paths , 1967 .

[49]  R. Macario,et al.  Propagation of Audio-Frequency Radio Waves to Great Distances , 1956, Nature.

[50]  W. O. Schumann,et al.  Über die Beobachtung von “atmospherics” bei geringsten Frequenzen , 2004, Naturwissenschaften.

[51]  V. M. Karyampudi,et al.  The Effect of Assimilating Rain Rates Derived from Satellites and Lightning on Forecasts of the 1993 Superstorm , 1999 .