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Dive into the research topics where Nir Benmoshe is active.

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Featured researches published by Nir Benmoshe.


Journal of the Atmospheric Sciences | 2008

Factors Determining the Impact of Aerosols on Surface Precipitation from Clouds: An Attempt at Classification

A. Khain; Nir Benmoshe; A. Pokrovsky

Abstract The simulation of the dynamics and the microphysics of clouds observed during the Large-Scale Biosphere–Atmosphere Experiment in Amazonia—Smoke, Aerosols, Clouds, Rainfall, and Climate (LBA–SMOCC) campaign, as well as extremely continental and extremely maritime clouds, is performed using an updated version of the Hebrew University spectral microphysics cloud model (HUCM). A new scheme of diffusional growth allows the reproduction of in situ–measured droplet size distributions including those formed in extremely polluted air. It was shown that pyroclouds forming over the forest fires can precipitate. Several mechanisms leading to formation of precipitation from pyroclouds are considered. The mechanisms by which aerosols affect the microphysics and precipitation of warm cloud-base clouds have been investigated by analyzing the mass, heat, and moisture budgets. The increase in aerosol concentration increases both the generation and the loss of the condensate mass. In the clouds developing in dry ai...


Journal of Applied Meteorology and Climatology | 2014

The Anatomy and Physics of Z(DR) Columns: Investigating a Polarimetric Radar Signature with a Spectral Bin Microphysical Model

Matthew R. Kumjian; A. Khain; Nir Benmoshe; Eyal Ilotoviz; Alexander V. Ryzhkov; Vaughan T. J. Phillips

AbstractPolarimetric radar observations of deep convective storms frequently reveal columnar enhancements of differential reflectivity ZDR. Such “ZDR columns” can extend upward more than 3 km above the environmental 0°C level, indicative of supercooled liquid drops being lofted by the updraft. Previous observational and modeling studies of ZDR columns are reviewed. To address remaining questions, the Hebrew University Cloud Model, an advanced spectral bin microphysical model, is coupled with a polarimetric radar operator to simulate the formation and life cycle of ZDR columns in a deep convective continental storm. In doing so, the mechanisms by which ZDR columns are produced are clarified, including the formation of large raindrops in the updraft by recirculation of smaller raindrops formed aloft back into the updraft at low levels. The internal hydrometeor structure of ZDR columns is quantified, revealing the transition from supercooled liquid drops to freezing drops to hail with height in the ZDR colum...


Journal of the Atmospheric Sciences | 2012

The Role of Small Soluble Aerosols in the Microphysics of Deep Maritime Clouds

A. Khain; Vaughan T. J. Phillips; Nir Benmoshe; A. Pokrovsky

Some observational evidence—such as bimodal drop size distributions, comparatively high concentrations of supercooled drops at upper levels, high concentrations of small ice crystals in cloud anvils leading to high optical depth, and lightning in the eyewalls of hurricanes—indicates that the traditional view of the microphysics of deep tropical maritime clouds requires, possibly, some revisions. In the present study it is shown that the observed phenomena listed above can be attributed to the presence of small cloud condensation nuclei (CCN) with diameters less than about 0.05 mm. An increase in vertical velocity above cloud base can lead to an increase in supersaturation and to activation of the smallest CCN, resulting in production of new droplets several kilometers above the cloud base. A significant increase in supersaturation can be also caused byadecreaseindropletconcentrationduringintensewarmrainformationaccompaniedbyanintensevertical velocity. This increase in supersaturation also can trigger in-cloud nucleation and formation of small droplets. Another reason for an increase in supersaturation and in-cloud nucleation can be riming, resulting in a decrease in droplet concentration. It has been shown that successive growth of new nucleated droplets increases supercooled water content and leads to significant ice crystal concentrations aloft. The analysis of the synergetic effect of thesmallest CCNand giantCCNon production ofsupercooledwater andice crystals in cloud anvils allows reconsideration of the role of giant CCN. Significant effects of small aerosols on precipitation and cloud updrafts have been found. The possible role of these small aerosols as well as small aerosols with combination of giant CCN in creating conditions favorable for lightning in deep maritime clouds is discussed.


Journal of the Atmospheric Sciences | 2014

Theory of Time-Dependent Freezing. Part I: Description of Scheme for Wet Growth of Hail

Vaughan T. J. Phillips; A. Khain; Nir Benmoshe; Eyal Ilotoviz

AbstractAt subzero temperatures, cloud particles can contain both ice and liquid water fractions. Wet growth of precipitation particles occurs when supercooled cloud liquid is accreted faster than it can freeze on impact.With a flexible framework, the theory of wet growth of hail is extended to the case of the inhomogeneities of surface temperature and of liquid coverage over the surface of the particle. The theory treats the heat fluxes between its wet and dry parts and radial heat fluxes from the sponge layer through the liquid skin to the air. The theory parameterizes effects of nonsphericity of hail particles on their growth by accretion. Gradual internal freezing of any liquid soaking the hail or graupel particle’s interior during dry growth (“riming”) is treated as well. In this way, the microphysical recycling envisaged by Pflaum in a paper in 1980 is treated, with alternating episodes of wet and dry growth.The present paper, the first of a two-part paper, describes the scheme to treat wet growth, ...


Journal of the Atmospheric Sciences | 2016

Effect of Aerosols on Freezing Drops, Hail, and Precipitation in a Midlatitude Storm

Eyal Ilotoviz; A. Khain; Nir Benmoshe; Vaughan T. J. Phillips; Alexander V. Ryzhkov

AbstractA midlatitude hail storm was simulated using a new version of the spectral bin microphysics Hebrew University Cloud Model (HUCM) with a detailed description of time-dependent melting and freezing. In addition to size distributions of drops, plate-, columnar-, and branch-type ice crystals, snow, graupel, and hail, new distributions for freezing drops as well as for liquid water mass within precipitating ice particles were implemented to describe time-dependent freezing and wet growth of hail, graupel, and freezing drops.Simulations carried out using different aerosol loadings show that an increase in aerosol loading leads to a decrease in the total mass of hail but also to a substantial increase in the maximum size of hailstones. Cumulative rain strongly increases with an increase in aerosol concentration from 100 to about 1000 cm−3. At higher cloud condensation nuclei (CCN) concentrations, the sensitivity of hailstones’ size and surface precipitation to aerosols decreases. The physical mechanism o...


Journal of the Atmospheric Sciences | 2015

Theory of Time-Dependent Freezing. Part II: Scheme for Freezing Raindrops and Simulations by a Cloud Model with Spectral Bin Microphysics

Vaughan T. J. Phillips; A. Khain; Nir Benmoshe; Eyal Ilotoviz; Alexander V. Ryzhkov

AbstractThe time-dependent process of raindrop freezing is described in a general form, including thermodynamic effects from the accretion of cloud liquid and cloud ice. Freezing drops (FDs) larger than 80 μm (and their water mass) are represented explicitly in a cloud model with spectral bin microphysics. FDs consist of interior water covered by ice initially. Possibilities of both dry (icy surface) and wet growth (surface covered by liquid) of FDs are accounted for.Schemes of time-dependent freezing for rain (discussed in this paper) and wet growth of hail and graupel (discussed in Part I) were implemented in a spectral bin microphysics cloud model. The model predicted that accretion of liquid produces giant FDs of 0.5–2 cm in diameter, far larger than purely liquid drops can become. This growth of FDs is promoted by recirculation from the downdraft back into the updraft and by cessation of internal freezing from some accreted liquid remaining unfrozen (wet growth of FDs). Significant contents of FDs re...


Journal of the Atmospheric Sciences | 2016

The Sensitivity of Hurricane Irene to Aerosols and Ocean Coupling: Simulations with WRF Spectral Bin Microphysics

Barry H. Lynn; A. Khain; Jian Wen Bao; Sara A. Michelson; Tianle Yuan; Guy Kelman; Daniel Rosenfeld; Jacob Shpund; Nir Benmoshe

AbstractHurricane Irene (2011) moved northward along the eastern coast of the United States and was expected to cause severe wind and flood damage. However, the hurricane weakened much faster than was predicted. Moreover, the minimum pressure in Irene occurred, atypically, about 40 h later than the time of maximum wind speed. Possible reasons for Irene’s weakening and the time shift between maximum wind and minimum central pressure were studied in simulations using WRF with spectral bin microphysics (WRF-SBM) with 1-km grid spacing and ocean coupling. Both ocean coupling and aerosol distribution/concentration were found to influence Irene’s development. Without ocean coupling or with ocean coupling and uniform aerosol distribution, the simulated maximum wind occurred at about the same time as the minimum pressure. With ocean coupling and nonuniform spatial aerosol distributions caused by aerosols from the Saharan air layer (band) and the continental United States, the maximum wind occurred about 40 h befo...


Journal of Geophysical Research | 2013

The mechanism of first raindrops formation in deep convective clouds

A. Khain; Thara V. Prabha; Nir Benmoshe; G. Pandithurai; Mikhail Ovchinnikov


Journal of Geophysical Research | 2012

Turbulent effects on the microphysics and initiation of warm rain in deep convective clouds: 2-D simulations by a spectral mixed-phase microphysics cloud model

Nir Benmoshe; Mark Pinsky; A. Pokrovsky; A. Khain


Journal of Geophysical Research | 2014

The effects of turbulence on the microphysics of mixed‐phase deep convective clouds investigated with a 2‐D cloud model with spectral bin microphysics

Nir Benmoshe; A. Khain

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A. Khain

Hebrew University of Jerusalem

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Eyal Ilotoviz

Hebrew University of Jerusalem

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A. Pokrovsky

Hebrew University of Jerusalem

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Matthew R. Kumjian

Pennsylvania State University

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Mark Pinsky

Hebrew University of Jerusalem

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Barry H. Lynn

Goddard Institute for Space Studies

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Mikhail Ovchinnikov

Pacific Northwest National Laboratory

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Tianle Yuan

Goddard Space Flight Center

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Daniel Rosenfeld

Hebrew University of Jerusalem

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