Modeling the hydrological cycle in the atmosphere of Mars: Influence of a bimodal size distribution of aerosol nucleation particles
Autor: | Paul Hartogh, Alexander Rodin, Dmitry S. Shaposhnikov, Takeshi Kuroda, Alexander S. Medvedev, Anna Fedorova |
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Jazyk: | angličtina |
Rok vydání: | 2022 |
Předmět: |
010504 meteorology & atmospheric sciences
Distribution (number theory) Nucleation FOS: Physical sciences Atmospheric sciences 01 natural sciences Physics::Geophysics Geochemistry and Petrology 0103 physical sciences Earth and Planetary Sciences (miscellaneous) Water cycle 010303 astronomy & astrophysics Physics::Atmospheric and Oceanic Physics 0105 earth and related environmental sciences Earth and Planetary Astrophysics (astro-ph.EP) Mars Exploration Program Atmosphere of Mars Aerosol Physics - Atmospheric and Oceanic Physics Geophysics Space and Planetary Science General Circulation Model Atmospheric and Oceanic Physics (physics.ao-ph) Environmental science Astrophysics::Earth and Planetary Astrophysics Astrophysics - Earth and Planetary Astrophysics |
Popis: | 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 general circulation model (MPI--MGCM) and tested assuming mono- and bimodal log-normal distributions of ice condensation nuclei. We present a comparison of the simulated annual variations, horizontal and vertical distributions of water vapor and ice clouds with the available observations from instruments onboard Mars orbiters. The accounting for bi-modality of aerosol particle distribution improves the simulations of the annual hydrological cycle, including predicted ice clouds mass, opacity, number density, particle radii. The increased number density and lower nucleation rates brings the simulated cloud opacities closer to observations. Simulations show a weak effect of the excess of small aerosol particles on the simulated water vapor distributions. |
Databáze: | OpenAIRE |
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