Results 301 to 310 of about 3,338,408 (362)

A Preliminary Study on the Application of Artificial Intelligence Technology in Meteorological Education and Training*

IEEE/WIC/ACM International Conference on Web Intelligence - Companion Volume, 2019
This paper reviews the three stages of the application of artificial intelligence technology in meteorological field, and expounds the application status of AI technology in meteorological business and meteorological services. By analyzing the impact and influence of AI technology on training content and training method in meteorological education and ...
Qingxu Wang, Peng Zhao, Liyao Zou
openaire   +2 more sources

FengWu-GHR: Learning the Kilometer-scale Medium-range Global Weather Forecasting

arXiv.org
Kilometer-scale modeling of global atmosphere dynamics enables fine-grained weather forecasting and decreases the risk of disastrous weather and climate activity.
Tao Han, Song Guo, Fenghua Ling, Kang Chen, Junchao Gong, Jing-Jia Luo, Junxia Gu, Kan Dai, Wanli Ouyang, Lei Bai   +9 more
semanticscholar   +1 more source

The Development of Meteorological and Oceanographic Data Collection and Recording System Operating on Training Ship

Volume 8B: Ocean Engineering, 2014
The observation at sea for marine meteorology is achieved by weather reports from merchant ship’s crew every 3 or 6 hours, mainly. However, the number of available observation data is insufficient for weather forecasting and marine environmental simulation, compared with landside.
Nobukazu Wakabayashi, Misako Urakami, Mitsuru Hayashi, Michio Fujii   +3 more
openaire   +2 more sources

Decoding the Atmosphere: Optimising Probabilistic Forecasts with Information Gain

Meteorology
Probabilistic prediction models exist to reduce surprise about future events. This paper explores the evaluation of such forecasts when the event of interest is rare. We review how the family of Brier-type scores may be ill-suited to evaluate predictions
John R. Lawson, Corey K. Potvin, Kenric Nelson   +2 more
semanticscholar   +1 more source

Deep Multi-Task Learning Based Urban Air Quality Index Modelling

Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, 2019
Obtaining comprehensive air quality information can help protect human health from air pollution. Existing spatially fine-grained estimation methods and forecasting methods have the following problems: 1) Only a part of data related to air quality is ...
Ling Chen, Yifang Ding, Dandan Lyu, Xiaoze Liu, Hanyu Long   +4 more
semanticscholar   +1 more source

Royal Australian Navy Meteorology and Oceanography Operations Research Report

, 2002
: This report documents the results of a study of Royal Australian Navy weather forecasters. The results replicate and extend the accomplishments of the ONR-funded Meteorology and Oceanography (METOC) Human Systems Interaction Improvement (HSII) Project.
S. Kirschenbaum
semanticscholar   +1 more source

Unexpected Increases of Severe Haze Pollution During the Post COVID‐19 Period: Effects of Emissions, Meteorology, and Secondary Production

Journal of Geophysical Research D: Atmospheres, 2022
Guiqian Tang, Yele Sun, Pingqing Fu
exaly  

Weather, climate, and agriculture: Historical contributions and perspectives from agricultural meteorology

Wiley Interdisciplinary Reviews: Climate Change, 2022
Giuditta Parolini
exaly  

Towards Fog Forecasting in Meteorology by Means of Back-Propagation Neural Networks with Weighted Least-Squares Training

, 1997
A. Pasini, S. Potestà
semanticscholar   +1 more source

U-Air: when urban air quality inference meets big data

Knowledge Discovery and Data Mining, 2013
Yu Zheng, Furui Liu, Hsun-Ping Hsieh
semanticscholar   +1 more source