An Explicit Microphysics Thunderstorm Model

Solomon, Robert C.; Medaglia, Carlo Maria; Adamo, C.; Dietrich, Stefano; Mugnai, A.; Ceipidor, U. Biader

doi:10.2316/journal.205.2005.2.205-4259

Cited by 4 publications

(4 citation statements)

References 31 publications

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“…This generates the in-cloud electric field distribution that initiates lightning when the field exceeds values of 100-250 kV m −1 (Marshall et al, 1995a, b). This is the foundation for numerical models like the 1-D Explicit Microphysics Thunderstorm Model (Solomon and Baker, 1996;Solomon et al, 2005) used to study the relationships between lightning activity and cloud microphysical structure (Formenton et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Observing relationships between lightning and cloud profiles by means of a satellite-borne cloud radar

2017

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Abstract. Cloud electrification and related lightning activity in thunderstorms have their origin in the charge separation and resulting distribution of charged iced particles within the cloud. So far, the ice distribution within convective clouds has been investigated mainly by means of ground-based meteorological radars. In this paper we show how the products from Cloud Profiling Radar (CPR) on board CloudSat, a polar satellite of NASA's Earth System Science Pathfinder (ESSP), can be used to obtain information from space on the vertical distribution of ice particles and ice content and relate them to the lightning activity. The analysis has been carried out, focusing on 12 convective events over Italy that crossed CloudSat overpasses during significant lightning activity. The CPR products considered here are the vertical profiles of cloud ice water content (IWC) and the effective radius (ER) of ice particles, which are compared with the number of strokes as measured by a ground lightning network (LINET). Results show a strong correlation between the number of strokes and the vertical distribution of ice particles as depicted by the 94 GHz CPR products: in particular, cloud upper and middle levels, high IWC content and relatively high ER seem to be favourable contributory causes for CG (cloud to ground) stroke occurrence.

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Section: Introductionmentioning

confidence: 99%

Observing relationships between lightning and cloud profiles by means of a satellite-borne cloud radar

2017

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“…The correlation decreases with decreasing precipitation intensity and lightning occurrences, such as over Tunisia and over eastern Sicily or Sardinia. The good correlation between large lightning occurrences and heavy precipitating storms is a well-recognized consequence of the fact that the generation of charged clouds is due to intense convection coupled with the updraft of graupel and ice particles (i.e., Solomon et al, 2005). The following lightning discharge and following precipitation have temporal and/or spatial displacement depending on the dynamical characteristics of the storm.…”

Section: Analysis Of 1 October 2009 Case Study Over Sicilymentioning

confidence: 99%

Lightning-based propagation of convective rain fields

Dietrich

Casella

Paola

et al. 2011

Nat. Hazards Earth Syst. Sci.

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Abstract. This paper describes a new multi-sensor approach for continuously monitoring convective rain cells. It exploits lightning data from surface networks to propagate rain fields estimated from multi-frequency brightness temperature measurements taken by the AMSU/MHS microwave radiometers onboard NOAA/EUMETSAT low Earth orbiting operational satellites. Specifically, the method allows inferring the development (movement, morphology and intensity) of convective rain cells from the spatial and temporal distribution of lightning strokes following any observation by a satellite-borne microwave radiometer. Obviously, this is particularly attractive for real-time operational purposes, due to the sporadic nature of the low Earth orbiting satellite measurements and the continuous availability of ground-based lightning measurements -as is the case in most of the Mediterranean region. A preliminary assessment of the lightning-based rainfall propagation algorithm has been successfully made by using two pairs of consecutive AMSU observations, in conjunction with lightning measurements from the ZEUS network, for two convective events. Specifically, we show that the evolving rain fields, which are estimated by applying the algorithm to the satellite-based rainfall estimates for the first AMSU overpass, show an overall agreement with the satellite-based rainfall estimates for the second AMSU overpass.

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“…To investigate the mechanism, numerous experimental studies have been carried out, such as those by Takahashi (1978), Jayaratne et al (1983), Keith and Saunders (1990), Saunders et al (1991;, Brooks and Saunders (1994), Takahashi and Miyawaki (2002), Saunders (2008) and others. In addition, much effort has been made to evaluate the laboratory results using numerical models; from using 1D models (Solomon and Baker, 1996;Solomon et al, 2005;Albrecht et al, 2008;Mitzeva et al, 2009;Tsenova and Mitzeva, 2009; to using 3D models (Helsdon et al, 1992;MacGorman et al, 2001; Barthe and Pinty, 2007;Avila et al, 2011;Barthe et al, 2012;Fierro et al, 2013;Liu et al, 2014;Tsenova et al, 2014;Xu et al, 2014;Wang et al, 2015). Also, many observational studies have been conducted to verify the effect of cloud dynamics (i.e.…”

Section: Introductionmentioning

confidence: 99%

Influence of tilting effect on charge structure and lightning flash density in two different convective environments

Gharaylou

Pegahfar

Farahani

2020

Meteorological Applications

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The influence of the tilting effect on charge density and lightning flash density was investigated using idealized Weather Research and Forecasting explicit charging/discharge module (WRF-ELEC) simulations for two thunderclouds. No shear (NS) and with shear (WS) simulations were conducted based on different values of wind velocity components in input sounding. Results from the NS and WS simulations show that the tilting effect extended the lifetime of the simulated convective clouds in both case studies, while leading to higher maximum vertical velocity only for the environment with intense convection. The ice and graupel in the cloud cell appear almost simultaneously in both the NS and WS simulations for the two case studies, but larger values are obtained for the WS simulations. It is noted that the increase of convection intensity postpones the larger values to the mature stage. The tilting effect results in an increase of total non-inductive charging, especially in a severe thundercloud. Moreover, the tilting effect does not lead to the same results for the polarity and intensity of charge density in the two studied cases. In the real case study, a dipolar charge structure was seen for both NS and WS simulations, but the intensity of charge density decreased with regard to the tilting effect. In contrast, the intensity of the charge increased with the tilting effect and resulted in tripolarity in the idealized case with a high value of convective available potential energy. Finally, considering the tilting effect leads to an increase of the number of lightning occurrences in the two case studies.

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An Explicit Microphysics Thunderstorm Model

Cited by 4 publications

References 31 publications

Observing relationships between lightning and cloud profiles by means of a satellite-borne cloud radar

Observing relationships between lightning and cloud profiles by means of a satellite-borne cloud radar

Lightning-based propagation of convective rain fields

Influence of tilting effect on charge structure and lightning flash density in two different convective environments

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