Posts tagged atmosphere
CLEO - Clouds made Lagrangian, exascale and open-source
- 28 November 2024
Cloud microphysics remains an integral and under-represented element of the climate system. Not only does this limit our understanding of clouds themselves, but also causes some of the largest uncertainties in climate modelling as a whole. CLEO is a SDM with collisional breakup for warm rain aiming to be computationally feasible in O(100km) LES.
PALM - Parallelized Large-eddy Simulation Model
- 10 June 2024
High-performance Large-Eddy Simulation model for simulating atmospheric boundary layer flows with fully interactive embedded models (urban surface, land surface, radiation, cloud physics, pollutant dispersion). It has been developed as a turbulence-resolving large-eddy simulation (LES) model that is especially designed for performing on massively parallel computer architectures. By default, PALM has at least six prognostic quantities: the velocity components u, v, w on a Cartesian grid, the potential temperature θ, water vapor mixing ratio qv and possibly a passive scalar s. Furthermore, an additional equation is solved for either the subgrid-scale turbulent kinetic energy (SGS-TKE) e (LES mode, default) or the total turbulent kinetic energy. PALM is now an independent name based on a FORTRAN code.
MPTRAC - Massive-Parallel Trajectory Calculations
- 10 June 2024
Massive-Parallel Trajectory Calculations (MPTRAC) is a La-grangian particle dispersion model for the analysis of atmospheric transport processes in the free troposphere and stratosphere.
CLaMS - Chemical Lagrangian Model of the Stratosphere
- 10 June 2024
CLaMS (Chemical Lagrangian Model of the Stratosphere) is a modular chemistry transport model (CTM) system developed at Research Centre Jülich, Germany. CLaMS was first described by McKenna et al (2000a,b) and was expanded into three dimensions by Konopka et al (2004). CLaMS has been employed in various European aircraft field campaigns including THE-SEO, EUPLEX, TROCCINOX, SCOUT-O3, RECONCILE and STRATOCLIM, PHILEAS with a focus on simulating ozone depletion and water vapour transport. Major strengths of CLaMS in comparison to other CTMs are
HAMMOZ (Hamburg Aerosol Module and atmospheric chemistry code MOZART)
- 04 June 2024
HAMMOZ contains a detailed representation of tropospheric-stratospheric chemistry and state-of-the-art parameterizations of aerosol using either a modal (M7) or a bin scheme (SALSA). The aerosol model HAM calculates the dispersion and evolution of the mass and number concentrations of an aerosol mixture considering the species sulphate, black carbon, organic carbon, sea salt and mineral dust. The standard version of HAM describes the aerosol size spectrum through the modal M7 aerosol model, which simulates a superposition of seven lognormal modes: Nucleation mode, Soluble (mixed) and Insoluble Aitken, Accumulation and Coarse modes. Each aerosol mode is assumed to be internally mixed, so that individual particles in a mode can be mixtures of different species. Insoluble particles can become mixed (soluble) by condensation of soluble substances and by collisions with mixed particles.
WAM
- 23 May 2024
The third generation spectral WAve Model (WAM) integrates the basic transport equation describing the evolution of a two-dimensional ocean wave spectrum without additional ad hoc assumptions regarding the spectral shape. The three source functions describing the wind input, nonlinear transfer, and white-capping dissipation are prescribed explicitly. An additional bottom dissipation source function and refraction terms are included in the finite-depth version of the model.
COSIPY - COupled Snowpack and Ice surface energy and mass balance model in PYthon (COSIPY)
- 21 May 2024
COSIPY is a flexible and user friendly coupled snowpack and ice surface energy and mass balance model written in Python. COSIPY is based on COSIMA, a ‘COupled Snowpack and Ice surface energy and MAss balance model’, translating the code into Python, and developing further the initial concepts. It combines a surface energy balance (SEB) with a multi-layer subsurface snow and ice model to compute the glacier mass balance (MB). The calculated surface melt water serves as input for the subsurface model. The two models are directly coupled in order to account for melt water percolation, retention and refreezing within the snow pack under consideration of latent heat release and resulting subsurface melt as well as the effects on subsurface temperature, snow density and ground heat flux. All subsurface processes are resolved in a vertical layer structure. COSIPY consists of several modules for solving the heat equation, calculating percolation and refreezing and calculating densification. The modular model setup allows replacing single parameterizations.
Core Components
- 28 June 2023
The core components of the future natESM system will comprise models for atmosphere, ocean, and land.
Atmosphere
- 28 June 2023
ICON-A: Roland Potthast
For the representation of the atmosphere, ICON includes a non-hydrostatic dynamical core operating on a icosahedral-triangular Arakawa C grid. Physics parameterizations for radiation, cloud microphysics (1- or 2-moment) and turbulence are always used, while orographic drag, subgrid cloud cover, and deep and shallow convection are parameterized or not depending on the configuration.