Vortex patterns in rapidly rotating Rayleigh鈥揃茅nard convection under spatial periodic forcing

Journal of Fluid Mechanics Cambridge University Press (CUP) 950 (2022) R1

Authors:

Shan-Shan Ding, Hong-Lin Zhang, Dong-Tian Chen, Jin-Qiang Zhong

Abstract:

Pattern-forming with externally imposed symmetry is ubiquitous in nature but little studied. We present experimental studies of pattern formation and selection by spatial periodic forcing in rapidly rotating convection. When periodic topographic structures are constructed on the heated boundary, they modulate the local temperature and velocity fields. Symmetric convection patterns in the form of regular vortex lattices are observed near the onset of convection, when the periodicity of the external forcing is set close to the intrinsic vortex spacing. We show that the new patterns arise as a dynamical process of imperfect bifurcation which is well described by a Ginzburg鈥揕andau-like model. We explore the phase diagram of buoyancy strength and periodicity of external forcing to find the optimal experimental settings for which the vortex patterns best match that of the external forcing.

Parameterization of Water-ammonia Hail in Jupiter鈥檚 Atmosphere

Copernicus Publications (2022)

Authors:

Xinmiao Hu, Peter Read, Vivien Parmentier, Greg Colyer

Abstract:

Recent Juno microwave observations revealed some puzzling features of the ammonia distribution. In particular, an ammonia-poor layer extends down to levels of tens of bars in Jupiter outside the equatorial region to at least 卤40 [Li et al. 2017]. Such a depletion has not yet emerged in general circulation models (GCMs). Guillot et al. [2020] showed that ammonia vapour can dissolve in water ice within violent storms, forming ammonia-rich hail, or "mushballs", that leads to an efficient transport of ammonia to the deeper atmosphere and hence its observed depletion. However, this mechanism has not been tested in numerical simulations in which convective events are self-consistently determined.听

We present a simple parameterization scheme for the mushball process. Our scheme determines the mushball concentration using the water-ammonia equilibrium phase diagram, and considers the transport of water and ammonia due to its associated downdraft. We implemented this scheme to a GCM based on the MITgcm [Young et al. 2019] that includes the following key parameterizations: a water moist convection scheme, a simple cloud microphysics model for water and ammonia, a dry convection scheme, and a two-stream radiative transfer scheme. We present our preliminary results using water and ammonia abundance according to Juno observations. Further, we discuss the ability of the "mushball" scheme to reproduce the Juno observations and explore which parameters are the most important to understand the ammonia distribution in the deep layers of Jupiter.

The Mars Climate Database (Version 6.1)

Copernicus Publications (2022)

Authors:

Ehouarn Millour, Francois Forget, Aymeric Spiga, Thomas Pierron, Antoine Bierjon, Luca Montabone, Margaux Vals, Franck Lef猫vre, Jean-Yves Chaufray, Miguel Lopez-Valverde, Francisco Gonzalez-Galindo, Stephen Lewis, Peter Read, Marie-Christine Desjean, Fabrice Cipriani

Abstract:

Introduction:

The Mars Climate Database (MCD) is a database of meteorological fields derived from General Circulation Model (GCM) numerical simulations of the Martian atmosphere and validated using available observational data. The MCD includes complementary post-processing schemes such as high spatial resolution interpolation of environmental data and means of reconstructing the variability thereof.

The GCM that is used to create the MCD data, now known as the Mars Planetary Climate Model (Mars PCM) is developed at Laboratoire de M茅t茅orologie Dynamique du CNRS (Paris, France) [1] in collaboration with LATMOS (Paris, France), the Open University (UK), the 91探花 University (UK) and the Instituto de Astrofisica de Andalucia (Spain) with 91探花 from the European Space Agency (ESA) and the Centre National d'Etudes Spatiales (CNES).

The latest version of the MCD, version 5.3 [2], was released in July 2017, and at the time of writing of this abstract we are working on MCDv6.1 [3], which we will release in June 2022. This new version will benefit from all the recent developments and improvements in the Mars PCM鈥檚 physics package.

The MCD is freely distributed and intended to be useful and used in the framework of engineering applications as well as in the context of scientific studies which require accurate knowledge of the state of the Martian atmosphere. Over the years, various versions of the MCD have been released and handed to more than 400 teams around the world.

Current applications include entry descent and landing (EDL) studies for future missions, investigations of some specific Martian issues (via coupling of the MCD with homemade codes), analysis of observations (Earth-based as well as with various instruments onboard Mars Express, Mars Reconnaissance Orbiter, Maven, Trace Gas Orbiter, Hope),...

The MCD is freely available upon request via an online form on the dedicated website: http://www-mars.lmd.jussieu.fr which moreover includes a convenient web interface for quick looks.

Figure 1: Illustrative example of the online Mars Climate Database web interface and its plotting capabilities.

Overview of MCD contents:

The MCD provides mean values and statistics of the main meteorological variables (atmospheric temperature, density, pressure and winds) as well as atmospheric composition (including dust and water vapor and ice content), as the GCM from which the datasets are obtained includes water cycle, chemistry, and ionosphere models. The database extends up to and including the thermosphere (~350km). Since the influence of Extreme Ultra Violet (EUV) input from the sun is significant in the latter, 3 EUV scenarios (solar minimum, average and maximum inputs) account for the impact of the various states of the solar cycle.

As the main driver of the Martian climate is the dust loading of the atmosphere, the MCD provides climatologies over a series of synthetic dust scenarios: standard year (a.k.a. climatology), cold (i.e: low dust), warm (i.e: dusty atmosphere) and dust storm, These are derived from home-made, instrument-derived (TES, THEMIS, MCS, MERs), dust climatology of the last 12 Martian years. In addition, we also provide additional 鈥渁dd-on鈥 scenarios which focus on individual Martian Years (from MY 24 to MY 35) for users more interested in more specific climatologies than the MCD baseline scenarios.

In practice the MCD provides users with:

  • Mean values and statistics of main meteorological variables (atmospheric temperature, density, pressure and winds), as well as surface pressure and temperature, CO2 ice cover, thermal and solar radiative fluxes, dust column opacity and mixing ratio, [H20] vapor and ice concentrations, along with concentrations of many species: [CO], [O2], [O], [N2], [Ar], [H2], [O3], [H] ..., as well as electrons mixing ratios. Column densities of these species are also given.

  • Physical processes in the Planetary Boundary Layer (PBL), such as PBL height, minimum and maximum vertical convective winds in the PBL, surface wind stress and sensible heat flux.
  • The possibility to reconstruct realistic conditions by combining the provided climatology with additional large scale (derived from Empirical Orthogonal Functions extracted from the GCM runs) and small scale perturbations (gravity waves).

  • Dust mass mixing ratio, along with estimated dust effective radius and dust deposition rate on the surface are provided.

  • A high resolution mode which combines high resolution (32 pixel/degree) MOLA topography records and Insight pressure records with raw lower resolution GCM results to yield, within the restriction of the procedure, high resolution values of atmospheric variables (pressure, but also temperature and winds via dedicated schemes).

Validation of MCDv6.1:

At EPSC2022 we will present validation campaigns between the MCDv6.1 and multiple measurements such as:

  • Surface temperatures, atmospheric temperatures and water vapor from TES/MGS.

  • Atmospheric temperatures, water ice and airborne dust from MCS/MRO.

  • Atmospheric temperatures from MGS and MEx radio occultations

  • Atmospheric temperatures from TIRVIM/ACS/TGO

  • Surface pressures recorded by Viking Landers, Phoenix, Curiosity and Insight

  • And hopefully much more...

References:

[1] Forget et al. (2022), 鈥淐hallenges in Mars Climate Modelling with the LMD Mars Global Climate Model, Now Called the Mars 芦听Planetary Climate Model听禄(PCM)听鈥, The 7th International Workshop on the Mars Atmosphere听: Modelling and Observations, 14-17 June 2022, Paris, France.

[2] Millour et al. (2018), 鈥淭he Mars Climate Database (version 5.3)听鈥, From Mars Express to ExoMars Scienfic Workshop, 22-28 February 2018, ESAC Madrid, Spain.

[3] Millour et al. (2022), 鈥淭he Mars Climate Database, Version 6.1听鈥, The 7th International Workshop on the Mars Atmosphere听: Modelling and Observations, 14-17 June 2022, Paris, France.

Large Interferometer For Exoplanets (LIFE)

Astronomy & Astrophysics EDP Sciences 664 (2022) a21

Authors:

SP Quanz, M Ottiger, E Fontanet, J Kammerer, F Menti, F Dannert, A Gheorghe, O Absil, VS Airapetian, E Alei, R Allart, D Angerhausen, S Blumenthal, LA Buchhave, J Cabrera, 脫 Carri贸n-Gonz谩lez, G Chauvin, WC Danchi, C Dandumont, D Defr茅re, C Dorn, D Ehrenreich, S Ertel, M Fridlund, A Garc铆a Mu帽oz, C Gasc贸n, JH Girard, A Glauser, JL Grenfell, G Guidi, J Hagelberg, R Helled, MJ Ireland, M Janson, RK Kopparapu, J Korth, T Kozakis, S Kraus, A L茅ger, L Leedj盲rv, T Lichtenberg, J Lillo-Box, H Linz, R Liseau, J Loicq, V Mahendra, F Malbet, J Mathew, B Mennesson, MR Meyer, L Mishra, K Molaverdikhani, L Noack, AV Oza, E Pall茅, H Parviainen, A Quirrenbach, H Rauer, I Ribas, M Rice, A Romagnolo, S Rugheimer, EW Schwieterman, E Serabyn, S Sharma, KG Stassun, J Szul谩gyi, HS Wang, F Wunderlich, MC Wyatt

Prevalence of short-lived radioactive isotopes across exoplanetary systems inferred from polluted white dwarfs

Monthly Notices of the Royal Astronomical Society 91探花 University Press (OUP) 515:1 (2022) 395-406

Authors:

Alfred Curry, Amy Bonsor, Tim Lichtenberg, Oliver Shorttle