A numerical modeling study of a Montana thunderstorm: 2. Model results versus observations involving electrical aspects

Helsdon, John H.; Farley, Richard D.

doi:10.1029/jd092id05p05661

Cited by 86 publications

(76 citation statements)

References 51 publications

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“…The treatment of electrical processes follows Helsdon and Farley (1987) and Helsdon et al (2001). Each hydrometeor class has an associated charge density in addition to the positive and negative small ion concentrations that combine to form the total charge density, which is related to the electrical potential through Poisson's equation.…”

Section: Rams (M Leriche and S Cautenet)mentioning

confidence: 99%

Cloud-scale model intercomparison of chemical constituent transport in deep convection

et al. 2007

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Abstract. Transport and scavenging of chemical constituents in deep convection is important to understanding the composition of the troposphere and therefore chemistryclimate and air quality issues. High resolution cloud chemistry models have been shown to represent convective processing of trace gases quite well. To improve the representation of sub-grid convective transport and wet deposition in large-scale models, general characteristics, such as species mass flux, from the high resolution cloud chemistry models can be used. However, it is important to understand how these models behave when simulating the same storm. The intercomparison described here examines transport of six species. CO and O 3 , which are primarily transported, show good agreement among models and compare well with observations. Models that included lightning production of NO x reasonably predict NO x mixing ratios in the anvil compared with observations, but the NO x variability is much larger than that seen for CO and O 3 . Predicted anvil mixing ratios of the soluble species, HNO 3 , H 2 O 2 , and CH 2 O, exhibit significant differences among models, attributed to different schemes in these models of cloud processing including the role of the Correspondence to: M. C. Barth (barthm@ucar.edu) ice phase, the impact of cloud-modified photolysis rates on the chemistry, and the representation of the species chemical reactivity. The lack of measurements of these species in the convective outflow region does not allow us to evaluate the model results with observations.

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Section: Rams (M Leriche and S Cautenet)mentioning

confidence: 99%

Cloud-scale model intercomparison of chemical constituent transport in deep convection

et al. 2007

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“…For instance, Mansell et al (2002) included a very sophisticated lightning flash parameterization in the electrification model of Ziegler et al (1991). Poeppel (2005) also improved a lightning parameterization in the pioneering model of Helsdon et al (1987Helsdon et al ( , 2002. Altaratz et al (2005) concentrated their efforts to test a storm electrification scheme in a regional model (RAMS) but without simulating the lightning flashes, which constitutes by far the most difficult part.…”

Section: Introductionmentioning

confidence: 99%

An overview of the lightning and atmospheric electricity observations collected in southern France during the HYdrological cycle in Mediterranean EXperiment (HyMeX), Special Observation Period 1

et al. 2015

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Abstract. The PEACH project (Projet en Electricité Atmosphérique pour la Campagne HyMeX -the Atmospheric Electricity Project of the HyMeX Program) is the atmospheric electricity component of the Hydrology cycle in the Mediterranean Experiment (HyMeX) experiment and is dedicated to the observation of both lightning activity and electrical state of continental and maritime thunderstorms in the area of the Mediterranean Sea. During the HyMeX SOP1 (Special Observation Period) from 5 September to 6 November 2012, four European operational lightning locating systems (ATDnet, EUCLID, LINET, ZEUS) and the HyMeX lightning mapping array network (HyLMA) were used to locate and characterize the lightning activity over the northwestern Mediterranean at flash, storm and regional scales. Additional research instruments like slow antennas, video cameras, microbarometer and microphone arrays were also operated. All these observations in conjunction with operational/research ground-based and airborne radars, rain gauges and in situ microphysical records are aimed at characterizing and understanding electrically active and highly precipitating events over southeastern France that often lead to severe flash floods. Simulations performed with cloud resolving models like Meso-NH and Weather Research and Forecasting are used to interpret the results and to investigate further the links between dynamics, microphysics, electrification and lightning occurrence. Herein we present an overview of the PEACH project and its different instruments. Examples are discussed to illustrate the comprehensive and Published by Copernicus Publications on behalf of the European Geosciences Union. E. Defer et al.: Atmospheric electricity observations during HyMeX SOP1unique lightning data set, from radio frequency to acoustics, collected during the SOP1 for lightning phenomenology understanding, instrumentation validation, storm characterization and modeling.

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“…One is based on the experimental studies of Saunders et al (1991) (Smethod), and the others on the numerical studies of Helsdon and Farley (1987) (HF-method). The value of the generating electrical charge in the separation process between graupel and cloud ice (or snow) in the HF-method is replaced 200 × 10 15 C with 3 × 10 15 C, which is the averaged value in the T-method.…”

Section: Examination Of Electrification Methodsmentioning

confidence: 99%

“…To predict lightning numerically by simulated electrical space charge, lightning formation schemes have been introduced into cloud-resolving models (e.g., Takahashi 1984;Helsdon and Farley 1987;Ziegler et al 1991). However, they have been only used in 2-dimensional idealized experiments or 3-dimensional realistic experiments with a small model domain.…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation of Electrical Space Charge Density and Lightning by using a 3-Dimensional Cloud-Resolving Model

Hayashi¹

2006

SOLA

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A new lightning formation scheme to simulate electrical space charge density and lightning is introduced into a 3-dimensional cloud-resolving model (JMANHM: Japan Meteorological Agency NonHydrostatic Model, Saito et al. 2006). A tripole structure in the electrical space charge distribution in cumulonimbi, clarified previous observational and numerical idealized studies (e.g., Williams 1989; Takahashi 1984), is well reproduced in numerical simulations with this new scheme.The numerical simulations with the horizontal resolution of 1.5 km are performed to reproduce the thunderstorm observed over the Kanto area, the central part of the Japan Islands, on 08 July 2004. In these simulations, four electrical charge transfer methods are applied to this event. Among them, the modified method from Helsdon and Farley (1987) (mHF-method) predicts cloud-ground lightning polarity most successfully in comparison with the observations. The electrical space charge structures simulated with the mHF-method agree with the previous observational and idealized numerical studies.

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A numerical modeling study of a Montana thunderstorm: 2. Model results versus observations involving electrical aspects

Cited by 86 publications

References 51 publications

Cloud-scale model intercomparison of chemical constituent transport in deep convection

Cloud-scale model intercomparison of chemical constituent transport in deep convection

An overview of the lightning and atmospheric electricity observations collected in southern France during the HYdrological cycle in Mediterranean EXperiment (HyMeX), Special Observation Period 1

Numerical Simulation of Electrical Space Charge Density and Lightning by using a 3-Dimensional Cloud-Resolving Model

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