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Dive into the research topics where Alexander Avramov is active.

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Featured researches published by Alexander Avramov.


Bulletin of the American Meteorological Society | 2007

The Mixed-Phase Arctic Cloud Experiment

Johannes Verlinde; Jerry Y. Harrington; Greg M. McFarquhar; V. T. Yannuzzi; Alexander Avramov; S. Greenberg; Nathaniel C. Johnson; Gong Zhang; Michael R. Poellot; James H. Mather; David D. Turner; Edwin W. Eloranta; B. D. Zak; Anthony J. Prenni; John S. Daniel; Gregory L. Kok; D. C. Tobin; Robert E. Holz; Kenneth Sassen; Douglas A. Spangenberg; Patrick Minnis; Tim Tooman; M. D. Ivey; Scott J. Richardson; C. P. Bahrmann; Matthew D. Shupe; Paul J. DeMott; Andrew J. Heymsfield; Robyn Schofield

The Mixed-Phase Arctic Cloud Experiment (M-PACE) was conducted from 27 September through 22 October 2004 over the Department of Energys Atmospheric Radiation Measurement (ARM) Climate Research Facility (ACRF) on the North Slope of Alaska. The primary objectives were to collect a dataset suitable to study interactions between microphysics, dynamics, and radiative transfer in mixed-phase Arctic clouds, and to develop/evaluate cloud property retrievals from surface-and satellite-based remote sensing instruments. Observations taken during the 1977/98 Surface Heat and Energy Budget of the Arctic (SHEBA) experiment revealed that Arctic clouds frequently consist of one (or more) liquid layers precipitating ice. M-PACE sought to investigate the physical processes of these clouds by utilizing two aircraft (an in situ aircraft to characterize the microphysical properties of the clouds and a remote sensing aircraft to constraint the upwelling radiation) over the ACRF site on the North Slope of Alaska. The measureme...


Bulletin of the American Meteorological Society | 2007

Can Ice-Nucleating Aerosols Affect Arctic Seasonal Climate?

Anthony J. Prenni; Jerry Y. Harrington; Michael Tjernström; Paul J. DeMott; Alexander Avramov; Charles N. Long; Sonia M. Kreidenweis; Peter Q. Olsson; Johannes Verlinde

Mixed-phase stratus clouds are ubiquitous in the Arctic and play an important role in climate in this region. However, climate and regional models have generally proven unsuccessful at simulating Arctic cloudiness, particularly during the colder months. Specifically, models tend to underpredict the amount of liquid water in mixed-phase clouds. The Mixed-Phase Arctic Cloud Experiments (M-PACE), conducted from late September through October 2004 in the vicinity of the Department of Energys Atmospheric Radiation Measurement (ARM) North Slope of Alaska field site, focused on characterizing low-level Arctic stratus clouds. Ice nuclei (IN) measurements were made using a continuous-flow ice thermal diffusion chamber aboard the University of North Dakotas Citation II aircraft. These measurements indicated IN concentrations that were significantly lower than those used in many models. Using the Regional Atmospheric Modeling System (RAMS), we show that these low IN concentrations, as well as inadequate parameteri...


Journal of Advances in Modeling Earth Systems | 2011

Intercomparison of cloud model simulations of Arctic mixed‐phase boundary layer clouds observed during SHEBA/FIRE‐ACE

Hugh Morrison; Paquita Zuidema; Andrew S. Ackerman; Alexander Avramov; Gijs de Boer; Jiwen Fan; Ann M. Fridlind; Tempei Hashino; Jerry Y. Harrington; Yali Luo; Mikhail Ovchinnikov; Ben Shipway

An intercomparison of six cloud-resolving and large-eddy simulation models is presented. This case study is based on observations of a persistent mixed-phase boundary layer cloud gathered on 7 May, 1998 from the Surface Heat Budget of Arctic Ocean (SHEBA) and First ISCCP Regional Experiment - Arctic Cloud Experiment (FIRE-ACE). Ice nucleation is constrained in the simulations in a way that holds the ice crystal concentration approximately fixed, with two sets of sensitivity runs in addition to the baseline simulations utilizing different specified ice nucleus (IN) concentrations. All of the baseline and sensitivity simulations group into two distinct quasi-steady states associated with either persistent mixed-phase clouds or all-ice clouds after the first few hours of integration, implying the existence of multiple states for this case. These two states are associated with distinctly different microphysical, thermodynamic, and radiative characteristics. Most but not all of the models produce a persistent mixed-phase cloud qualitatively similar to observations using the baseline IN/crystal concentration, while small increases in the IN/crystal concentration generally lead to rapid glaciation and conversion to the all-ice state. Budget analysis indicates that larger ice deposition rates associated with increased IN/crystal concentrations have a limited direct impact on dissipation of liquid in these simulations. However, the impact of increased ice deposition is greatly enhanced by several interaction pathways that lead to an increased surface precipitation flux, weaker cloud top radiative cooling and cloud dynamics, and reduced vertical mixing, promoting rapid glaciation of the mixed-phase cloud for deposition rates in the cloud layer greater than about 122610 –5 gk g –1 s –1 for this case. These results indicate the critical importance of precipitation-radiative-dynamical interactions in simulating cloud phase, which have been neglected in previous fixed-dynamical parcel studies of the cloud phase parameter space. Large sensitivity to the IN/crystal concentration also suggests the need for improved understanding of ice nucleation and its parameterization in models.


Journal of Advances in Modeling Earth Systems | 2014

Intercomparison of large‐eddy simulations of Arctic mixed‐phase clouds: Importance of ice size distribution assumptions

Mikhail Ovchinnikov; Andrew S. Ackerman; Alexander Avramov; Anning Cheng; Jiwen Fan; Ann M. Fridlind; Steven J. Ghan; Jerry Y. Harrington; C. Hoose; Alexei Korolev; Greg M. McFarquhar; Hugh Morrison; M. Paukert; Julien Savre; Ben Shipway; Matthew D. Shupe; Amy Solomon; Kara Sulia

Large-eddy simulations of mixed-phase Arctic clouds by 11 different models are analyzed with the goal of improving understanding and model representation of processes controlling the evolution of these clouds. In a case based on observations from the Indirect and Semi-Direct Aerosol Campaign (ISDAC), it is found that ice number concentration, Ni, exerts significant influence on the cloud structure. Increasing Ni leads to a substantial reduction in liquid water path (LWP), in agreement with earlier studies. In contrast to previous intercomparison studies, all models here use the same ice particle properties (i.e., mass-size, mass-fall speed, and mass-capacitance relationships) and a common radiation parameterization. The constrained setup exposes the importance of ice particle size distributions (PSDs) in influencing cloud evolution. A clear separation in LWP and IWP predicted by models with bin and bulk microphysical treatments is documented and attributed primarily to the assumed shape of ice PSD used in bulk schemes. Compared to the bin schemes that explicitly predict the PSD, schemes assuming exponential ice PSD underestimate ice growth by vapor deposition and overestimate mass-weighted fall speed leading to an underprediction of IWP by a factor of two in the considered case. Sensitivity tests indicate LWP and IWP are much closer to the bin model simulations when a modified shape factor which is similar to that predicted by bin model simulation is used in bulk scheme. These results demonstrate the importance of representation of ice PSD in determining the partitioning of liquid and ice and the longevity of mixed-phase clouds.


Journal of the Atmospheric Sciences | 2012

A FIRE-ACE/SHEBA Case Study of Mixed-Phase Arctic Boundary Layer Clouds: Entrainment Rate Limitations on Rapid Primary Ice Nucleation Processes

Ann M. Fridlind; Bastiaan van Diedenhoven; Andrew S. Ackerman; Alexander Avramov; Agnieszka A. Mrowiec; Hugh Morrison; Paquita Zuidema; Matthew D. Shupe

Observations of long-lived mixed-phase Arctic boundary layer clouds on 7 May 1998 during the First International Satellite Cloud Climatology Project (ISCCP) Regional Experiment (FIRE)‐Arctic Cloud Experiment(ACE)/SurfaceHeatBudgetoftheArcticOcean(SHEBA)campaignprovideauniqueopportunity to test understanding of cloud ice formation. Under the microphysically simple conditions observed (apparently negligible ice aggregation, sublimation, and multiplication), the only expected source of new ice crystals is activation of heterogeneous ice nuclei (IN) and the only sink is sedimentation. Large-eddy simulations with size-resolved microphysics are initialized with IN number concentration NIN measured above cloudtop,butdetailsofINactivationbehaviorareunknown.Ifactivatedrapidly(indeposition,condensation,


Quarterly Journal of the Royal Meteorological Society | 2009

Intercomparison of model simulations of mixed-phase clouds observed during the ARM Mixed-Phase Arctic Cloud Experiment. I: Single-layer cloud

Stephen A. Klein; Renata McCoy; Hugh Morrison; Andrew S. Ackerman; Alexander Avramov; Gijs de Boer; Mingxuan Chen; Jason N. S. Cole; Anthony D. Del Genio; Michael J. Falk; Michael J. Foster; Ann M. Fridlind; Jean Christophe Golaz; Tempei Hashino; Jerry Y. Harrington; C. Hoose; Marat Khairoutdinov; Vincent E. Larson; Xiaohong Liu; Yali Luo; Greg M. McFarquhar; Surabi Menon; Roel Neggers; Sungsu Park; Michael R. Poellot; Jerome M. Schmidt; Igor Sednev; Ben Shipway; Matthew D. Shupe; Douglas A. Spangenberg


Journal of Geophysical Research | 2010

Influence of parameterized ice habit on simulated mixed phase Arctic clouds

Alexander Avramov; Jerry Y. Harrington


Journal of Geophysical Research | 2011

Toward ice formation closure in Arctic mixed-phase boundary layer clouds during ISDAC

Alexander Avramov; Andrew S. Ackerman; Ann M. Fridlind; Bastiaan van Diedenhoven; Giovanni Botta; K. Aydin; Johannes Verlinde; Alexei Korolev; J. Walter Strapp; Greg M. McFarquhar; Robert C. Jackson; Sarah D. Brooks; Andrew Glen; Mengistu Wolde


Journal of Geophysical Research | 2011

Millimeter wave scattering from ice crystals and their aggregates: Comparing cloud model simulations with X‐ and Ka‐band radar measurements

Giovanni Botta; K. Aydin; Johannes Verlinde; Alexander Avramov; Andrew S. Ackerman; Ann M. Fridlind; Greg M. McFarquhar; Mengistu Wolde


Journal of Advances in Modeling Earth Systems | 2011

Intercomparison of cloud model simulations of Arctic mixed-phase boundary layer clouds observed during

Hugh Morrison; Paquita Zuidema; Andrew S. Ackerman; Alexander Avramov; Gijs de Boer; Jiwen Fan; Ann M. Fridlind; Tempei Hashino; Jerry Y. Harrington; Yali Luo; Mikhail Ovchinnikov; Ben Shipway

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Jerry Y. Harrington

Pennsylvania State University

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Andrew S. Ackerman

Goddard Institute for Space Studies

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Ann M. Fridlind

Goddard Institute for Space Studies

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Hugh Morrison

National Center for Atmospheric Research

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Johannes Verlinde

Pennsylvania State University

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Gijs de Boer

Cooperative Institute for Research in Environmental Sciences

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Jiwen Fan

Pacific Northwest National Laboratory

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Mikhail Ovchinnikov

Pacific Northwest National Laboratory

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