Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Treng-Shi Huang"'
Autor:
Bor-Shouh Huang, Chin-Shang Ku, Chin-Jen Lin, Ya-Ju Hsu, Tien-Chi Liu, Jann-Yenq Liu, Yen-Ling Eileen Chen, Da-Yi Chen, Treng-Shi Huang, Juen-Shi Jiang
Publikováno v:
Frontiers in Earth Science, Vol 12 (2024)
On 15 January 2022, a massive underwater volcano erupted in the Tonga region, releasing a significant amount of volcanic ash and gases into the atmosphere. The United States Geological Survey (USGS) estimated the seismic source to have a surface wave
Externí odkaz:
https://doaj.org/article/6db58d349a9346f0941cc2b9a9455b62
Autor:
Jann‐Yenq Liu, Tzu‐Hsun Kao, Tien‐Chi Liu, Bor‐Shouh Huang, Po‐Han Lee, Yang‐Yi Sun, Chieh‐Hung Chen, Katsumi Hattori, Po‐Han Liao, I.‐Te Lee, Ching‐Lun Su, Chuen‐Teyr Terng, Treng‐Shi Huang
Publikováno v:
Geophysical Research Letters, Vol 50, Iss 20, Pp n/a-n/a (2023)
Abstract Intense eruptions of the Tonga volcano activated prominent traveling atmospheric disturbances (TADs) at 04:05UT on 15 January 2022. Himawari‐8 satellite images depict that TADs of the tropospheric Lamb wavefront propagate with a speed of 3
Externí odkaz:
https://doaj.org/article/f51b2795a6e444308a0a6820507419e3
Publikováno v:
Atmospheric Science Letters, Vol 24, Iss 5, Pp n/a-n/a (2023)
Abstract Predicting rapid intensification (RI) of tropical cyclones (TCs) is critical in operational forecasting. Statistical schemes rely on human‐driven feature extraction and predictor correlation to predict TC intensities. Deep learning provide
Externí odkaz:
https://doaj.org/article/84b5b5aa0cdb48f59e8b69cdb255bf57
Autor:
Treng-Shi Huang, 黃椿喜
97
In this paper we examine the simulated tropical cyclone (TC) structure in a full-physics but highly idealized three dimensional model to examine the accuracy of Potential Intensity (E-PI) developed by Emanuel in a three dimensional context. I
In this paper we examine the simulated tropical cyclone (TC) structure in a full-physics but highly idealized three dimensional model to examine the accuracy of Potential Intensity (E-PI) developed by Emanuel in a three dimensional context. I
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/19638733609451594881
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
Publikováno v:
Monthly Weather Review. Aug2004, Vol. 132 Issue 8, p2084-2093. 10p.
Publikováno v:
Monthly Weather Review. 132:2084-2093
Potential vorticity diagnosis is applied to study the factors contributing to the decrease of the forward motion of Typhoon Sinlaku (2002) and is used to evaluate the reason why the operational Aviation (AVN) model failed to predict this slowdown and
Publikováno v:
Monthly Weather Review. 131:1289-1300
Tropical Storm Bopha (2000) showed a very unusual southward course parallel to the east coast of Taiwan, mainly steered by the circulation associated with Supertyphoon Saomai (2000) to Bopha’s east. The binary interaction between the two typhoons i