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Articles by E. Millour
The Martian mid-latitude subsurface ice is the remnant of a past ice sheet
Abstract On Mars, a relatively pure water ice layer lies beneath several centimeters of dry-soil at midlatitudes. Its widespread presence poleward of 60° latitude was detected by remote neutron spectroscopy. Recent observations of exposed ice indicate that the near-surface ice layer extends to 35° latitude and exhibits pronounced spatial structure. However, previous models did not capture the observed spatial structure of the midlatitude ice layer.
A Simple Subgrid‐Scale Model for Slope Winds on Mars
1 Introduction Modeling the Martian climate and weather can be approached using a hierarchy of models with various spatial resolutions, ranging from very high resolution Large Eddy Simulations (LES) at scales of just a few meters (Michaels & Rafkin, 2004; Spiga et al., 2010; Wu et al., 2021) to Global Climate Models (GCMs) that cover the entire planet at resolution of several hundred kilometers (Forget et al., 1999; Haberle et al., 2019; Neary & Daerden, 2018).
Modeling of HDO in the Martian atmosphere
Communication Dans Un Congrès Année : 2019 Modeling of HDO in the Martian atmosphere Fichier principal EPSC-DPS2019-1372-1.pdf (75.1 Ko) Télécharger le fichier Origine : Fichiers produits par l'(les) auteur(s)
Modeling of HDO in the Martian atmosphere
Communication Dans Un Congrès Année : 2018 Modeling of HDO in the Martian atmosphere Origine : Fichiers produits par l'(les) auteur(s)
Water Supersaturation for Early Mars
Water Supersaturation for Early Mars Mots clés early Mars climate modeling Fichier principal JGR Planets - 2023 - Delavois - Water Supersaturation for Early Mars.pdf (2.64 Mo) Télécharger le fichier Origine : Fichiers éditeurs autorisés sur une archive ouverte
The challenge of atmospheric data assimilation on Mars
Data assimilation is carried out for the Martian atmosphere with the Mars Climate Sounder (MCS) retrievals of temperature, dust and ice. It is performed for the period Ls=180°to Ls=320°of Mars Year 29 with the Local Ensemble Transform Kalman Filter scheme and the Laboratoire de Météorologie Dynamique (LMD) Mars Global Climate Model (GCM). In order to deal with the forcings of aerosols (dust and water ice) on atmospheric temperatures, a framework is given for multivariate analysis.
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