output
20102025
most citedStochastic Parameterization: Towards a new view of Weather and Climate Models

431 citations

Showing physics.ao-phShow all

12 papers · 1 filter

physics.ao-ph2025

Intercomparison of a High-Resolution Regional Climate Model Ensemble for Catchment-Scale Water Cycle Processes under Human Influence

J. L. Roque, F. Da Silva Lopes, J. A. Giles +8

Understanding regional hydroclimatic variability and its drivers is essential for anticipating the impacts of climate change on water resources and sustainability. Yet, considerabl…

physics.ao-ph2025★ 1 cited

The Impact of Non-Orographic Gravity Waves on Transport and Mixing: Effects of Oblique Propagation and Coupling to Turbulence

Tridib Banerjee, Sebastian Borchert, Young-Ha Kim +7

Gravity waves (GWs) are a fundamental driver of circulation, tracer transport, and mixing in the middle and upper atmosphere, but their treatment in global circulation models remai…

physics.ao-ph2023★ 15 cited

Crucial Role of Obliquely Propagating Gravity Waves in the Quasi-Biennial Oscillation Dynamics

Young-Ha Kim, Georg S. Voelker, Gergely Bölöni +2

In climate modelling, the reality of simulated flows in the middle atmosphere is largely affected by the model's representation of gravity wave processes that are unresolved, while…

physics.ao-ph2023★ 15 cited

Inductive biases in deep learning models for weather prediction

Jannik Thuemmel, Matthias Karlbauer, Sebastian Otte +8

Deep learning has gained immense popularity in the Earth sciences as it enables us to formulate purely data-driven models of complex Earth system processes. Deep learning-based wea…

physics.ao-ph2022★ 226 cited

European Aerosol Phenomenology -- 8: Harmonised Source Apportionment of Organic Aerosol using 22 Year-long ACSM/AMS Datasets

Gang Chen, Francesco Canonaco, Anna Tobler +67

Organic aerosol (OA) is a key component to total submicron particulate matter (PM1), and comprehensive knowledge of OA sources across Europe is crucial to mitigate PM1 levels. Euro…

physics.ao-ph2020★ 205 cited

Statistical Postprocessing for Weather Forecasts -- Review, Challenges and Avenues in a Big Data World

Stéphane Vannitsem, John Bjørnar Bremnes, Jonathan Demaeyer +21

Statistical postprocessing techniques are nowadays key components of the forecasting suites in many National Meteorological Services (NMS), with for most of them, the objective of…