2018
DOI: 10.1002/2017je005384
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Modeling the Hydrological Cycle in the Atmosphere of Mars: Influence of a Bimodal Size Distribution of Aerosol Nucleation Particles

Abstract: We present a new implementation of the hydrological cycle scheme into a general circulation model of the Martian atmosphere. The model includes a semi‐Lagrangian transport scheme for water vapor and ice and accounts for microphysics of phase transitions between them. The hydrological scheme includes processes of saturation, nucleation, particle growth, sublimation, and sedimentation under the assumption of a variable size distribution. The scheme has been implemented into the Max Planck Institute Martian gener… Show more

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Cited by 20 publications
(23 citation statements)
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References 71 publications
(133 reference statements)
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“…The water cycle of the model includes a semi‐Lagrangian transport of water vapor and ice (Shaposhnikov et al., 2016) and accounts for the microphysics of conversions between vapor and ice (Shaposhnikov et al., 2018). Condensation occurs on cloud condensation nuclei, whose sizes are represented by four characteristic bins.…”
Section: Martian General Circulation Model and Design Of Simulationsmentioning
confidence: 99%
“…The water cycle of the model includes a semi‐Lagrangian transport of water vapor and ice (Shaposhnikov et al., 2016) and accounts for the microphysics of conversions between vapor and ice (Shaposhnikov et al., 2018). Condensation occurs on cloud condensation nuclei, whose sizes are represented by four characteristic bins.…”
Section: Martian General Circulation Model and Design Of Simulationsmentioning
confidence: 99%
“…The size of ice particles determines their microphysical properties and the sedimentation rate. The CCN number density in each bin is calculated from the bimodal log‐normal dust distribution (Fedorova et al, ), as described in the paper of Shaposhnikov et al (, section 2.2).…”
Section: Model Description and Design Of Simulationsmentioning
confidence: 99%
“…2001). Information on the aerosols physical properties is needed for a better understanding and modeling of Martian climate (Guzewich et al., 2013; Madeleine et al., 2012; Navarro et al., 2014; Shaposhnikov et al., 2018).…”
Section: Introductionmentioning
confidence: 99%