Description
-all posters will be visible during the whole conference, authors will be available during the whole poster session and on demand during the conference-
In the Model Uncertainty-MIP (MUMIP) we run single column models from different modelling centres over the same period and domain with a series of 6hr simulations. By constructing the SCM initial and boundary conditions such that they are derived from a common 3D-simulation, a common prescription of dynamics is enforced. Consequently, combined dataset of the array of SCM-simulations will mimic...
Clouds are one of the most important component of the Earth-Atmosphere system. They influence the hydrological cycle and the energy budget of the system via interaction with solar and infrared radiation. For clouds at lower levels consisting of water droplets, these effects are quite well understood, but for clouds containing ice particles (i.e. at lower temperatures) there are still open...
Modern computer systems are more and more diverse and composed of nodes with shared memory and different type of processors, mainly CPU’s and GPU’s. GPU vendors are coming usually with their own language specification like CUDA (Nvidia), ROCm (AMD), or Metal (Mac).
The Julia language is designed for scientific computation and comes with special packages to write individual kernels for...
The formation of ice clouds (cirrus clouds) in the tropopause region
requires moderate or even high vertical velocities up to several m/s
when homogeneous freezing is involved. Such vertical velocities result
from convective updrafts, turbulence or gravity waves. However, all
those processes are only purely represented in the tropopause region
of climate models. This in turn leads to...
Gravity waves are an important component of atmospheric dynamics, causing the transport of momentum and energy to the stratosphere and mesosphere. To make their parameterizations in atmospheric models more accurate, we need to improve our understanding of gravity waves. We address this problem by studying data from a global ICON simulation with a horizontal resolution of approximately 2.5 km....
pyBELLA+ is an innovative atmospheric flow solver and data assimilation engine designed to play a unique role in the landscape of research numerical weather prediction (NWP) models. This project focuses on developing a compact, modular software package that adheres to modern scientific software development principles, enabling researchers to focus on addressing NWP modelling questions with...
The representation of subgrid-scale orography is a challenge in the physical parameterisation of orographic gravity-wave sources in weather forecasting. A significant hurdle is encoding maximum physical information with a simple spectral representation on unstructured geodesic grids with non-quadrilateral cells, such as those used in the German Weather Service's Icosahedral Nonhydrostatic...
Recently, there has been a huge effort focused on developing highly efficient open-source libraries designed for Artificial Intelligence (AI) related computations on different computer architectures (for example, CPUs, GPUs and new AI processors). These advancements have not only made the algorithms based on these libraries highly efficient and portable between different architectures, but...
Jexpresso is a new multi-physics general solver designed to solve, by numerical means, arbitrary systems of PDEs while making it easy for a user to set up one's own specific physical problem. While the version V2.0 presented in this poster relies on spectral elements and finite differences, the code is structured so that a user can add other grid-based numerical methods of choice without...
MU-MIP is an international project which seeks to characterise the systematic and random
component of model error across many different atmospheric models. An initiative of the WCRP
Working Group for Numerical Experimentation and the WWRP Predictability, Dynamics and
Ensemble Forecasting Working Group, MU-MIP includes representatives of 12+ institutes spanning
three continents.
MU-MIP...
A comprehensive investigation of the predictability properties in a three-level quasi-geostrophic atmospheric model with realistic mean state and variability is performed. The full spectrum of covariant Lyapunov vectors and associated finite-time Lyapunov exponents (FTLEs) is calculated. The statistical properties of the fluctuations of the FTLEs as well as the spatial localisation and...
