d4PDF: large-ensemble and high-resolution climate simulations for global warming risk assessment

M Ishii, N Mori - Progress in Earth and Planetary Science, 2020 - Springer
A large-ensemble climate simulation database, which is known as the database for policy
decision-making for future climate changes (d4PDF), was designed for climate change risk …

Application of deep learning to estimate atmospheric gravity wave parameters in reanalysis data sets

D Matsuoka, S Watanabe, K Sato… - Geophysical …, 2020 - Wiley Online Library
Gravity waves play an essential role in driving and maintaining global circulation. To
understand their contribution in the atmosphere, the accurate reproduction of their …

Detection of bow echoes in kilometer-scale forecasts using a convolutional neural network

A Mounier, L Raynaud, L Rottner, M Plu… - … Intelligence for the …, 2022 - journals.ametsoc.org
Bow echoes (BEs) are bow-shaped lines of convective cells that are often associated with
swaths of damaging straight-line winds and small tornadoes. This paper describes a …

[HTML][HTML] Automated detection and classification of synoptic-scale fronts from atmospheric data grids

S Niebler, A Miltenberger, B Schmidt… - Weather and Climate …, 2022 - wcd.copernicus.org
Automatic determination of fronts from atmospheric data is an important task for weather
prediction as well as for research of synoptic-scale phenomena. In this paper we introduce a …

Automated Identification and Location of Three Dimensional Atmospheric Frontal Systems

S Niebler, B Schmidt, H Tost, P Spichtinger - International Conference on …, 2023 - Springer
We present a novel method to identify and locate weather fronts at various pressure levels to
create a three dimensional structure using weather data located at the North Atlantic. It …

Scalable GPU-Enabled Creation of Three Dimensional Weather Fronts

S Niebler, B Schmidt, P Spichtinger, H Tost - Proceedings of the Platform …, 2024 - dl.acm.org
Weather fronts play an important role in atmospheric science. Their correlation to severe
natural hazards such as extreme precipitation, cyclones or thunderstorms makes localization …

A trial of climate classification based on dynamic climatology using distribution of frontal zone in mid-and high latitudes

N TAKAHASHI - Journal of the Meteorological Society of Japan. Ser …, 2023 - jstage.jst.go.jp
Here, I create a dataset of fronts in mid-and high latitudes by applying an objective front
detection method to the JRA-55 reanalysis and try climate classification based on dynamic …

Neural style transfer between observed and simulated cloud images to improve the detection performance of tropical cyclone precursors

D Matsuoka, S Easterbrook - Environmental Data Science, 2023 - cambridge.org
A common observation in the field of pattern recognition for atmospheric phenomena using
supervised machine learning is that recognition performance decreases for events with few …

[PDF][PDF] Automatic Detection and Classification of Atmospherical Fronts.

AA Ploscar, AI Muscalagiu, ET Pauliuc, AM Coroiu - ICAART (3), 2024 - scitepress.org
This paper presents an application that uses Convolutional Neural Networks (CNN) for the
automatic detection and classification of atmospherical fronts in synoptic maps, which are a …

[PDF][PDF] Visuelle Analyse großer Daten in der Klimaforschung

N Röber, M Böttinger - Informatik Spektrum, 2020 - academia.edu
Das Klima und die Klimaforschung bekommen in den aktuellen Debatten, sowohl in der
öffentlichen Wahrnehmung als auch in der Politik, endlich die Bedeutung, die dieses …