Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Boyo Chen"'
Publikováno v:
Artificial Intelligence for the Earth Systems. 1
Deep learning models are developed for high-resolution quantitative precipitation nowcasting (QPN) in Taiwan up to 3 h ahead. Many recent works aim to accurately predict relatively rare high-rainfall events with the help of deep learning. This rarity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2efdfc11cd1bb2d03b22fdcb1218ea52
https://doi.org/10.1175/aies-d-21-0005.1
https://doi.org/10.1175/aies-d-21-0005.1
Publikováno v:
Weather and Forecasting. 34:447-465
Accurately estimating tropical cyclone (TC) intensity is one of the most critical steps in TC forecasting and disaster warning/management. For over 40 years, the Dvorak technique (and several improved versions) has been applied for estimating TC inte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c869add72064ca0e0118491ac784155d
https://doi.org/10.1175/waf-d-18-0136.1
https://doi.org/10.1175/waf-d-18-0136.1
Convolutional neural networks (CNN) have achieved great success in analyzing tropical cyclones (TC) with satellite images in several tasks, such as TC intensity estimation. In contrast, TC structure, which is conventionally described by a few paramet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0614d4c6bda0be51ad27d16fe8819b48
Publikováno v:
KDD
Tropical cyclone (TC) is a type of severe weather systems that occur in tropical regions. Accurate estimation of TC intensity is crucial for disaster management. Moreover, the intensity estimation task is the key to understand and forecast the behavi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c56c7d49763bc9464f1dcdf73b419273
https://doi.org/10.1145/3219819.3219926
https://doi.org/10.1145/3219819.3219926