Results 321 to 330 of about 1,413,675 (352)

ATMConvGRU for Weather Forecasting

IEEE Geoscience and Remote Sensing Letters, 2022
Weather forecasting, which is challenging due to the complex atmospheric correlation, focuses on providing explicit meteorological estimations as accurate as possible.
Tingzhao Yu, Qiuming Kuang, Ruyi Yang
semanticscholar   +1 more source

Weather forecasting and prediction using hybrid C5.0 machine learning algorithm

International Journal of Communication Systems, 2021
In this research, a weather forecasting model based on machine learning is proposed for improving the accuracy and efficiency of forecasting. The aim of this research is to propose a weather prediction model for short‐range prediction based on numerical ...
Sudhan Murugan Bhagavathi, Anitha Thavasimuthu, A. Murugesan, Charlyn Pushpa Latha George Rajendran, Vijay A, Laxmi Raja, Rajendran Thavasimuthu   +6 more
semanticscholar   +1 more source

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 weather forecast

pure and applied geophysics, 1980
Recent advances in the use of dynamical and statistical models to forecast the weather are described. High resolution physical—mathematical models can now predict the development of synoptic weather systems in great detail for a few days ahead, while large-scale phenomena like blocking can be predicted for about a week or more.
openaire   +2 more sources

Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks

Neural Information Processing Systems
In recent years, machine learning has established itself as a powerful tool for high-resolution weather forecasting. While most current machine learning models focus on deterministic forecasts, accurately capturing the uncertainty in the chaotic weather ...
Joel Oskarsson, Tomas Landelius, M. Deisenroth, Fredrik Lindsten   +3 more
semanticscholar   +1 more source

Accurate weather forecasting with dominant gradient boosting using machine learning

International Journal of Science and Research Archive
This Paper examines the interesting topic of weather forecasting using ML. From kaggle.com, there is an extensive list of daily weather records for a Seattle dataset.
Suri babu Nuthalapati, Aravind Nuthalapati   +1 more
semanticscholar   +1 more source

The weather forecast under the weather

Ergonomics, 1979
The weather forecast as broadcast several times a day, appears to be too long for effective storage in human memory. Out of 12 to 32 items per message a maximum of seven ( plus or minus 2) were reproduced. Selective listening to parts of the message reduced the number of correctly recalled items to about five.
Wagenaar, W.A., Visser, J.G.
openaire   +4 more sources

Weather Forecasting Using Machine Learning Algorithm

International Computer Science Conference, 2019
The activities of many primary sectors depend on the weather for production, e.g. farming. The climate is changing at a drastic rate nowadays, which makes the old weather prediction methods less effective and more hectic.
Nitin Singh, Saurabh Chaturvedi, S. Akhter   +2 more
semanticscholar   +1 more source

Interpretable weather forecasting for worldwide stations with a unified deep model

Nature Machine Intelligence, 2023
Haixu Wu, Hang Zhou, Mingsheng Long, Jianmin Wang   +3 more
semanticscholar   +1 more source

Forecasting the Weather

2009
The previous chapter described the spoken genre of race calling and placed it culturally in a context of ritual social action and individual social motivation. This chapter deals with a genre which is also formulaic but is written to be spoken, i.e. it is about the writing of scripts.
openaire   +2 more sources