2007
DOI: 10.1002/qj.133
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Field identification of a unique globally dominant mechanism of thunderstorm electrification

Abstract: ABSTRACT:Two wholly distinct studies involving TRMM-satellite global data were conducted. One involved the relationship between lightning frequency f and brightness temperature, the other between f and ice-water-path. Both studies demonstrate that globally valid relationships exist between f and thundercloud ice-precipitation content, from which it follows that graupel pellets play a crucial role in thundercloud charging. Ground-based field studies provide further support for this conclusion and show that f is… Show more

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Cited by 55 publications
(64 citation statements)
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References 36 publications
(53 reference statements)
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“…Scatter diagrams of lightning flash rate versus parameters of minimum 85 GHz PCT, minimum 37 GHz PCT, maximum radar reflectivity near −15°C and area of 35 dBZ echo near −15°C are combined in Figure 6. Linear regression equations for the scatter diagrams in Figure 6 are listed as follows (Y is flash rate, while X is the value of different parameters): The IWM at 8 km is closely correlated (R = 0.80-0.94) with lightning frequency as expected from the literature Deierling et al, 2005;Latham et al, 2007]. Of all the TRMM-observed parameters, 35 dBZ area at −15°C has the best positive relationships (R = 0.78-0.94) with (Figure 6).…”
Section: Correlations Between Lightning and Thundercloud Parameterssupporting
confidence: 58%
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“…Scatter diagrams of lightning flash rate versus parameters of minimum 85 GHz PCT, minimum 37 GHz PCT, maximum radar reflectivity near −15°C and area of 35 dBZ echo near −15°C are combined in Figure 6. Linear regression equations for the scatter diagrams in Figure 6 are listed as follows (Y is flash rate, while X is the value of different parameters): The IWM at 8 km is closely correlated (R = 0.80-0.94) with lightning frequency as expected from the literature Deierling et al, 2005;Latham et al, 2007]. Of all the TRMM-observed parameters, 35 dBZ area at −15°C has the best positive relationships (R = 0.78-0.94) with (Figure 6).…”
Section: Correlations Between Lightning and Thundercloud Parameterssupporting
confidence: 58%
“…[3] Relationships between thundercloud parameters and lightning are based upon the generally accepted noninductive charging (NIC) hypothesis [Latham et al, 2007]. In NIC, it is hypothesized that particle-scale charge separation occurs through rebounding collisions between precipitationsized ice particles and abundant small ice crystals in the presence of supercooled liquid water [Takahashi, 1978;Saunders et al, 1991;Saunders, 1993;MacGorman and Rust, 1998].…”
Section: Introductionmentioning
confidence: 99%
“…Petersen et al (2005) found a linear relationship between total lightning flash rate and ice water path, independent of the regime (land, ocean or coastal zones). Likewise, based on the charging zone concept, several studies have shown strong correlation between the total (intra-cloud and cloudto-ground lightning) flash rate and the precipitable and nonprecipitable ice masses (Blyth et al, 2001;Latham et al, 2004Latham et al, , 2007Deierling et al, 2008). The terms precipitable and non-precipitable ice masses are associated with the hydrometeor types likely to precipitate or not, relative to the convective core updraft, i.e., denser particles like hail and graupel can precipitate over the convective core and are defined as precipitable ice mass, while snowflakes and ice crystals cannot and are therefore defined as non-precipitable ice mass.…”
Section: Cloud Electrification: Total Flash Estimated From Ice Mass Fmentioning
confidence: 99%
“…Latham et al (2004Latham et al ( , 2007 have extended the relationship on Eq. (2) to several studies in the literature, and restate the correlation between F , f P and f NP .…”
Section: Cloud Electrification: Total Flash Estimated From Ice Mass Fmentioning
confidence: 99%
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