Investigation of Halley's Comet dust size distribution by Vega-2 interplanetary station visual spectra analysis

1999 ◽  
Author(s):  
Penka Stoeva ◽  
Rolf Werner ◽  
Veneta Guineva ◽  
Stoyanka Staykova
Keyword(s):  
Size Distribution ◽  
Spectra Analysis ◽  
Dust Size Distribution ◽  
Interplanetary Station ◽  
Halley's Comet ◽  
Comet Dust

Effect of dust size distribution on ion-acoustic solitons in dusty plasmas with different dust grains

2017 ◽  
Vol 43 (2) ◽  
pp. 212-217
Author(s):  
Dong-Ning Gao ◽  
Yang Yang ◽  
Qiang Yan ◽  
Xiao-Yun Wang ◽  
Wen-Shan Duan
Keyword(s):  
Size Distribution ◽  
Dusty Plasmas ◽  
Dust Grains ◽  
Dust Size Distribution ◽  
Ion Acoustic ◽  
Ion Acoustic Solitons

Statistical characteristics calculation of the natural dust size distribution in the air surface layer of Belyy Island

2019 ◽  
Author(s):  
Elena Baglaeva ◽  
Alexander Buevich ◽  
Alexander Sergeev ◽  
Andrey Shichkin ◽  
Irina Subbotina ◽  
...  
Keyword(s):  
Surface Layer ◽  
Size Distribution ◽  
Statistical Characteristics ◽  
Dust Size Distribution

Effect of an Arbitrary Dust Size Distribution Dust Particles for Vortex-Like Ion Distribution Dusty Plasma

2009 ◽  
Vol 52 (3) ◽  
pp. 517-522
Author(s):  
Wei Ju-Na ◽  
Shi Yu-Ren ◽  
He Guang-Jun ◽  
Jiang Xin ◽  
Duan Wen-Shan ◽  
...  
Keyword(s):  
Size Distribution ◽  
Dusty Plasma ◽  
Dust Particles ◽  
Ion Distribution ◽  
Dust Size Distribution

scholarly journals Modeling Dust Fragmentation in Comets

1991 ◽  
Vol 126 ◽  
pp. 221-224
Author(s):  
I. Konno ◽  
W.F. Huebner
Keyword(s):  
Size Distribution ◽  
Hydrodynamic Model ◽  
Gas Flow ◽  
Dusty Gas ◽  
Dust Size Distribution ◽  
Grain Fragmentation ◽  
Comet Halley ◽  
Geometric Effects

AbstractWe developed a 1-D hydrodynamic model of dusty gas flow with dust fragmentation in a cometary atmosphere and performed calculations for a dust-size distribution with radiia =10−4— 10 cm and densities variable with dust size. A comparison was made with Giotto observations of dust jet intensities within 100 km of the nucleus of Comet Halley. We found that dust fragmentation cannot be solely responsible for the flattening of the dust intensity near the nucleus with respect to the 1/R law. We conclude that a combination of geometric effects and grain fragmentation may explain the observed intensity profiles.

Evaluation of NMMB-MONARCH dust reanalysis within the DustClim ERA4CS project

2020 ◽  
Author(s):  
Michail Mytilinaios ◽  
Lucia Mona ◽  
Francesca Barnaba ◽  
Sergio Ciamprone ◽  
Serena Trippetta ◽  
...  
Keyword(s):  
Middle East ◽  
Size Distribution ◽  
Optical Depth ◽  
Extinction Coefficient ◽  
Dust Storms ◽  
Northern Africa ◽  
Dust Deposition ◽  
Dust Extinction ◽  
Dust Size Distribution

<p>An advanced dust reanalysis with high spatial (at 10km x 10km) and temporal resolution is produced in the framework of DustClim project (Dust Storms Assessment for the development of user-oriented Climate Services in Northern Africa, Middle East and Europe) [1], aiming to provide reliable information on dust storms current conditions and predictions, focusing on the dust impacts on various socio-economic sectors.</p><p>This regional reanalysis is based on the assimilation of dust-related satellite observations from MODIS instrument [2], in the Multiscale Online Nonhydrostatic Atmosphere Chemistry model (NMMB-MONARCH) [3], over the region of Northern Africa, Middle East and Europe. The reanalysis is now available for a seven-year period (2011-2016) providing the following dust products: Columnar and surface concentration, distributed in 8 dust particle size bins, with effective radius ranging from 0,15μm to 7,1μm, dust load, dry and wet dust deposition, dust optical depth (DOD) and coarse dust optical depth (radius>1μm) at 550nm and profiles of dust extinction coefficient at 550nm.</p><p>A thorough evaluation of the reanalysis is in progress to assess the quality and uncertainty of the dust simulations, using dust-filtered products, retrieved from different measurement techniques, both from in-situ and remote sensing observations. The datasets considered for the DustClim reanalysis evaluation, provide observations of variables that are included in the model simulations. The DOD is provided by AERONET network [4] and by IASI [5], POLDER [6], MISR [7] and MODIS space-borne sensors; Dust extinction profiles are provided by ACTRIS/EARLINET network [8] and CALIPSO/LIVAS dataset [9]; Dust PM10 surface concentrations derived from INDAAF/SDT [10] network and estimated from PM10 measurements [11] performed within EEA/EIONET [12] network; Dust deposition measurements collected by the INDAAF/SDT and the CARAGA/DEMO [13] networks; Dust size distribution from in situ observations (ground-based and airborne); And column-averaged dust size distribution at selected stations from the AERONET network.</p><p>In this work, we present the results of the model evaluation for the year 2012. The first evaluation results will focus on dust extinction coefficient profiles from EARLINET and LIVAS, on DOD using AERONET, MISR and MODIS datasets, and on dust PM10 concentration from INDAAF/SDT network. Moreover, a DOD climatology covering the whole reanalysis period (2011-2016) will be compared with the results obtained from AERONET network.</p><p> </p><p>References</p><p>[1] https://sds-was.aemet.es/projects-research/dustclim</p><p>[2] https://modis.gsfc.nasa.gov/</p><p>[3] Di Tomaso et al., <em>Geosci. Model Dev.</em>, <strong>10</strong>, 1107-1129, doi:10.5194/gmd-10-1107-2017., 2017.</p><p>[4] https://aeronet.gsfc.nasa.gov/</p><p>[5] Cuesta et al., <em>J. Geophys. Res.</em>, <strong>120</strong>, 7099-7127, 2015.</p><p>[6] http://www.icare.univ-lille1.fr/parasol/overview/</p><p>[7] https://misr.jpl.nasa.gov/</p><p>[8] https://www.earlinet.org/</p><p>[9] Marinou et al., <em>Atmos. Chem. Phys.</em>, <strong>17</strong>, 5893–5919, https://doi.org/10.5194/acp-17-5893-2017, 2017.</p><p>[10] https://indaaf.obs-mip.fr/</p><p>[11] Barnaba et al., <em>Atmospheric environment</em>, <strong>161</strong>, 288-305, 2017.</p><p>[12] https://www.eionet.europa.eu/</p><p>[13] Laurent et al., <em>Atmos. Meas. Tech.</em>, <strong>8</strong>, 2801–2811, 2015.</p><p> </p><p> </p><p>Acknowledgement</p><p>DustClim project is part of ERA4CS, an ERA-NET initiated by JPI Climate, and funded by FORMAS (SE), DLR (DE), BMWFW (AT), IFD (DK), MINECO (ES), ANR (FR) with co-funding by the European Union (Grant 690462).</p>

Sign in / Sign up

Export Citation Format

Share Document