Title: Casimir-dissipation stabilized stochastic rotating shallow water equations on the sphere.

We introduce a structure preserving discretization of stochastic rotating
shallow water equations, stabilized with an energy conserving Casimir (i.e.
potential enstrophy) dissipation. A stabilization of a stochastic scheme is
usually required as, by modeling subgrid effects via stochastic processes,
small scale [...]

Authors: Werner Bauer, Rüdiger Brecht

Link: http://arxiv.org/abs/2307.09194

Lets try this!

#escapefromtarkov #linux #endeavouros #xfc #linuxgaming #gaming

Title: Towards replacing precipitation ensemble predictions systems using machine learning.

Precipitation forecasts are less accurate compared to other meteorological
fields because several key processes affecting precipitation distribution and
intensity occur below the resolved scale of global weather prediction models.
This requires to use higher resolution simulations. To generate an uncertainty
predictio [...]

Authors: Rüdiger Brecht, Alex Bihlo

Link: http://arxiv.org/abs/2304.10251

Title: M-ENIAC: A machine learning recreation of the first successful numerical weather forecasts.

In 1950 the first successful numerical weather forecast was obtained by
solving the barotropic vorticity equation using the Electronic Numerical
Integrator and Computer (ENIAC), which marked the beginning of the age of
numerical weather prediction. Here, we ask the question of how these numerical
forecasts woul [...]

Authors: Rüdiger Brecht, Alex Bihlo

Link: http://arxiv.org/abs/2304.09070

Title: Potential quantum advantage for simulation of fluid dynamics.

Numerical simulation of turbulent fluid dynamics needs to either parameterize
turbulence-which introduces large uncertainties-or explicitly resolve the
smallest scales-which is prohibitively expensive. Here we provide evidence
through analytic bound [...]

Authors: Xiangyu Li, Xiaolong Yin, Nathan Wiebe, Jaehun Chun, Gregory K. Schenter, Margaret S. Cheung, Johannes Mülmenstädt

Link: http://arxiv.org/abs/2303.16550

【 #4Gamer.net #RSSfeed 】
CD PROJEKT REDとGOG.com，トルコ・シリア大地震の被災者を支援するチャリティ「Playing for Türkiye and Syria」への参加を発表
https://www.4gamer.net/games/999/G999905/20230308020/

【 #4Gamer.net #RSSfeed 】
売上全額がトルコ・シリア大地震の寄付にあてられる「Türkiye and Syria Earthquake Relief Bundle」，Humble Bundleで販売開始。全72作，総額1000ドル以上のゲームが対象に
https://www.4gamer.net/games/999/G999905/20230302072/

Title: Disturbances from Single Event Upsets in the GRACE Follow-On Laser Ranging Interferometer.

The Gravity Recovery And Climate Experiment - Follow On (GRACE-FO) satellite
mission (2018-now) hosts the novel Laser Ranging Interferometer (LRI), a
technology demonstrator for proving the feasibility of laser interferometry for
inter-satellite ranging measurements. The GRACE- [...]

Authors: Malte Misfeldt, Pallavi Bekal, Vitali Müller, Gerhard Heinzel

Link: http://arxiv.org/abs/2302.07681

Title: Dynamic Arctic weather variability and connectivity.

The rapidly shrinking Arctic sea ice is changing weather patterns and
disrupting the balance of nature. Dynamics of Arctic weather variability (WV)
plays a crucial role in weather forecasting and is closely related to extreme
weather events. Yet, assessing and quantifying the WV for both local Arctic
regions and its planetary [...]

Authors: Jun Meng, Jingfang Fan, Uma S Bhatt, Jürgen Kurths

Link: http://arxiv.org/abs/2302.01960

Title: Towards Learned Emulation of Interannual Water Isotopologue Variations in General Circulation Models.

Simulating abundances of stable water isotopologues, i.e. molecules differing
in their isotopic composition, within climate models allows for comparisons
with proxy data and, thus, for testing hypotheses about past climate and
validati [...]

Authors: Jonathan Wider, Jakob Kruse, Nils Weitzel, Janica C. Bühler, Ullrich Köthe, Kira Rehfeld

Link: http://arxiv.org/abs/2301.13462

Title: Two-Phase Flow Simulations of Surface Waves in Wind-Forced Conditions.

The paper is devoted to two-phase flow simulations and investigates the
ability of a diffusive interface Cahn-Hilliard Volume-of-Fluid model to capture
the dynamics of the air-sea interface at geophysically relevant Reynolds
numbers. It employs a hybrid [...]

Authors: Malte Loft, Niklas Kühl, Marc P. Buckley, Jeffrey R. Carpenter, Michael Hinze, Fabrice Veron, Thomas Rung

Link: http://arxiv.org/abs/2212.10279

Title: Two-Phase Flow Simulations of Surface Waves in Wind-Forced Conditions.

The paper is devoted to two-phase flow simulations and investigates the
ability of a diffusive interface Cahn-Hilliard Volume-of-Fluid model to capture
the dynamics of the air-sea interface at geophysically relevant Reynolds
numbers. It employs a hybrid [...]

Authors: Malte Loft, Niklas Kühl, Marc P. Buckley, Jeffrey R. Carpenter, Michael Hinze, Fabrice Veron, Thomas Rung

Link: http://arxiv.org/abs/2212.10279

Title: Physically Constrained Generative Adversarial Networks for Improving Precipitation Fields from Earth System Models.

Precipitation results from complex processes across many scales, making its
accurate simulation in Earth system models (ESMs) challenging. Existing
post-processing methods can improve ESM simulations locally, but cannot correct
errors in model [...]

Authors: Philipp Hess, Markus Drüke, Stefan Petri, Felix M. Strnad, Niklas Boers

Link: http://arxiv.org/abs/2209.07568

Title: Improving trajectory calculations using deep learning inspired single image superresolution.

Lagrangian trajectory or particle dispersion models as well as
semi-Lagrangian advection schemes require meteorological data such as wind,
temperature and geopotential at the exact spatio-temporal locations of the
particles that move independently from a regular grid. Traditionally [...]

Authors: Rüdiger Brecht, Lucie Bakels, Alex Bihlo, Andreas Stohl

Link: http://arxiv.org/abs/2206.04015

Title: Study of Interaction and Complete Merging of Binary Cyclones Using Complex Networks.

Cyclones are amongst the most hazardous extreme weather events on Earth. When
two co-rotating cyclones come in close proximity, a possibility of complete
merger (CM) arises due to their interactions. However, identifying t [...]

Authors: Somnath De, Shraddha Gupta, Vishnu R Unni, Rewanth Ravindran, Praveen Kasthuri, Norbert Marwan, Jürgen Kurths, R. I. Sujith

Link: http://arxiv.org/abs/2205.11789

Title: Computing the ensemble spread from deterministic weather predictions using conditional generative adversarial networks.

Ensemble prediction systems are an invaluable tool for weather forecasting.
Practically, ensemble predictions are obtained by running several perturbations
of the deterministic control forecast. However, ensemble prediction is
associated with a high computational cost and often invol [...]

Authors: Rüdiger Brecht, Alex Bihlo

Link: http://arxiv.org/abs/2205.09182

Title: Transitions of zonal flows in a two-layer quasi-geostrophic ocean model.

We consider a 2-layer quasi-geostrophic ocean model where the upper layer is
forced by a steady Kolmogorov wind stress in a periodic channel domain, which
allows to mathematically study the nonlinear development of the resulting flow.
The model supports a steady parallel shear flow as a [...]

Authors: Mickael D. Chekroun, Henk Dijkstra, Taylan Şengül, Shouhong Wang

Link: http://arxiv.org/abs/2110.05195

Title: Visualization of Model Parameter Sensitivity along Trajectories in Numerical Weather Predictions.

Numerical weather prediction models rely on parameterizations for
subgrid-scale processes, e.g., for cloud microphysics. These parameterizations
are a well-known source of uncertainty in weather forecasts that can be
quantified [...]

Authors: Christoph Neuhauser, Maicon Hieronymus, Michael Kern, Marc Rautenhaus, Annika Oertel, Rüdiger Westermann

Link: http://arxiv.org/abs/2205.02268

Title: Perspectives on the importance of complex systems in understanding ourclimate and climate change -- The Nobel Prize in Physics 2021.

The Nobel Prize in Physics 2021 was awarded to Syukuro Manabe, Klaus
Hasselmann, and Giorgio Parisi for their 'groundbreaking contributions to our
understanding of complex systems' including major advances in the understanding [...]

Authors: Shraddha Gupta, Nikolaos Mastrantonas, Cristina Masoller, Jürgen Kurths

Link: http://arxiv.org/abs/2203.03331

Title: Perspectives on the importance of complex systems in understanding ourclimate and climate change -- The Nobel Prize in Physics 2021.

The Nobel Prize in Physics 2021 was awarded to Syukuro Manabe, Klaus
Hasselmann, and Giorgio Parisi for their 'groundbreaking contributions to our
understanding of complex systems' including major advances in the understanding [...]

Authors: Shraddha Gupta, Nikolaos Mastrantonas, Cristina Masoller, Jürgen Kurths

Link: http://arxiv.org/abs/2203.03331