Results 91 to 100 of about 1,490 (205)

Exploring the ability of regional extrapolation for precipitation nowcasting with deep learning

Meteorologische Zeitschrift
Precipitation nowcasting refers to the prediction of precipitation intensity in a local region and in a short timeframe up to 6 hours. The evaluation of spatial and temporal information still challenges state-of-the-art numerical weather prediction ...
Tarek Beutler, Annette Rudolph, Daniel Goehring, Nikki Vercauteren   +3 more
doaj   +1 more source

Short‐Term Forecasting of Cloud Physical Properties Based on Fourier Neural Operator Method

Geophysical Research Letters, Volume 53, Issue 8, 28 April 2026.
Abstract Accurately understanding the evolution and development of cloud physical properties (CPP) in advance is crucial for extreme weather forecasting and early warning. This study utilized the Fourier neural operator (FNO) method to develop a short‐term forecasting model of Cloud (Cloud‐FNO).
Feng Zhang, Xin Hong, Zhijun Zhao, Zeyu Gan, Pengxiang Ouyang, Haixia Xiao, Renhe Zhang, Xujun Wei, Miao Cai, Feng Lu   +9 more
wiley   +1 more source

Precipitation nowcasting using a generative adversarial network [PDF]

, 2022
Nedávne pokroky v oblasti umelej inteligencie umožnili použitie strojového učenia ako nástroja k nowcastingu - krátkodobej predpovedi zrážok. V posledných rokoch sme mohli vidieť mnoho publikácií na túto tému, keďže je to stále otvorený problém.
Matej Murín
core  

Skill in nowcasting high-impact heavy precipitation events [PDF]

, 2014
The objective of this study is to assess the skill of a precipitation nowcasting (very short range forecasting) system, with particular emphasis on hig-impact Heavy Precipitation Events (HPE).
Bech, Joan, Berenguer Ferrer, Marc
core   +1 more source

CPrecNet: Enhanced Nowcast of High‐Resolution Short‐Term Precipitation Using Deep Learning

Geophysical Research Letters
Accurate short‐term precipitation nowcasting is essential for disaster prevention and water resource management. Traditional numerical weather prediction faces challenges in delivering high‐resolution nowcasts due to computational limitations.
Jun Park, Changhoon Lee
doaj   +1 more source

Oceanic Precipitation Nowcasting Using a UNet-Based Residual and Attention Network and Real-Time Himawari-8 Images

Remote Sensing
Qualitative precipitation forecasting plays a vital role in marine operational services. However, predicting heavy precipitation over the open ocean presents a significant challenge due to the limited availability of ground-based radar observations far ...
Xianpu Ji, Xiaojiang Song, Anboyu Guo, Kai Liu, Haijin Cao, Tao Feng   +5 more
doaj   +1 more source

DuoCast: Duo-Probabilistic Diffusion for Precipitation Nowcasting

Proceedings of the AAAI Conference on Artificial Intelligence
Accurate short-term precipitation forecasting is critical for weather-sensitive decision-making in agriculture, transportation, and disaster response. Existing deep learning approaches often struggle to balance global structural consistency with local detail preservation, especially under complex meteorological conditions.
Penghui Wen, Mengwei He, Patrick Filippi, Na Zhao, Feng Zhang, Thomas F. A. Bishop, Zhiyong Wang 0001, Kun Hu   +7 more
openaire   +2 more sources

Data for paper "Quality Aware Conditional Generative Adversarial Networks for Precipitation Nowcasting" submitted to AAI.

, 2023
Dataset for paper "Quality Aware Conditional Generative Adversarial Networks for Precipitation Nowcasting" submitted to Applied Artificial ...
Jonnalagadda, Jahnavi
core   +1 more source

PEDNet: A Predictive Encoder–Decoder Network with Multi-Scale Global–Local Modeling for Radar Precipitation Nowcasting

Atmosphere
Radar precipitation nowcasting remains challenging because a model must not only represent the overall motion trends of large-scale precipitation systems, but also capture the fine-grained structural variations of localized strong echo regions while ...
Zhuo Wang, Chaorong Li, Wenjie Luo, Chuanhu Deng   +3 more
doaj   +1 more source

Towards a Spatiotemporal Fusion Approach to Precipitation Nowcasting

2025 28th International Conference on Information Fusion (FUSION)
With the increasing availability of meteorological data from various sensors, numerical models and reanalysis products, the need for efficient data integration methods has become paramount for improving weather forecasts and hydrometeorological studies.
Felipe Curcio, Pedro Castro, Augusto José Fonseca, Rafaela Castro, Raquel Franco, Eduardo S. Ogasawara, Victor Stepanenko, Fábio Porto 0001, Mariza Ferro, Eduardo Bezerra 0002   +9 more
openaire   +2 more sources