Zobrazeno 1 - 10
of 132
pro vyhledávání: '"Zhe-Min Tan"'
Autor:
Quoc-Phi Duong, Anthony Wimmers, Derrick Herndon, Zhe-Min Tan, Jing-Yi Zhuo, John Knaff, Ibrahim Al Abdulsalam, Takeshi Horinouchi, Ryota Miyata, Arthur Avenas
Publikováno v:
Tropical Cyclone Research and Review, Vol 12, Iss 4, Pp 259-266 (2023)
Here we explore the latest four years (2019–2022) of using satellite data to objectively analyze tropical cyclones (TC) and issue recommendations for improved analysis. We first discuss new methods of direct retrieval from SAR and geostationary ima
Externí odkaz:
https://doaj.org/article/2dab4cb3493a4dd69a8faeeb542c3827
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 16, Iss 1, Pp n/a-n/a (2024)
Abstract For Paleoclimate data assimilation (PDA), a hybrid gain analog offline ensemble Kalman filter (HGAOEnKF) is proposed. It keeps the benefits of the analog offline ensemble Kalman filter (AOEnKF) that constructs analog ensembles from existing
Externí odkaz:
https://doaj.org/article/4a006093e3a64b52a1fb13afca496189
Autor:
Hao‐Yan Liu, Masaki Satoh, Jian‐Feng Gu, Lili Lei, Jianping Tang, Zhe‐Min Tan, Yuqing Wang, Jing Xu
Publikováno v:
Geophysical Research Letters, Vol 50, Iss 20, Pp n/a-n/a (2023)
Abstract This study aimed to explore the predictability of the most long‐lived tropical cyclone (TC) Freddy in 2023 while it traversed westward across the southern tropical Indian Ocean during the first 18 days of its existence. Global ensemble for
Externí odkaz:
https://doaj.org/article/87fd80772d6948fbbdb01bcbcdbba2de
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 15, Iss 10, Pp n/a-n/a (2023)
Abstract Flow‐dependent background error covariances estimated from short‐term ensemble forecasts suffer from sampling errors due to limited ensemble sizes. Covariance localization is often used to mitigate the sampling errors, especially for hig
Externí odkaz:
https://doaj.org/article/8e00da187d0b4c0888410b95356f4863
Autor:
Xuan Wang, Zhe‐Min Tan
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 15, Iss 4, Pp n/a-n/a (2023)
Abstract The selection of physical parameterization schemes for tropical cyclone (TC) forecasts has required a substantial amount of effort. In general, the evaluation of physical parameterization schemes and their combined performance was based sole
Externí odkaz:
https://doaj.org/article/fdf179018b954f5789fc15fbe2888a6c
Autor:
Kun Zhao, Xin Xu, Ming Xue, Zhe-Min Tan, Hao Huang, Ang Zhou, Xueqi Fan, Qiqing Liu, Chenli Wang, Juan Fang, Wen-Chau Lee, Qinghong Zhang, Fan Zhang, Gang Chen, Ji Yang
Publikováno v:
Remote Sensing, Vol 15, Iss 18, p 4511 (2023)
An hourly rainfall of 201.9 mm fell in Zhengzhou on 20 July 2021, breaking the hourly rainfall record of mainland China and causing severe urban flooding and human casualties. This observation-based study investigates the associated convective-scale
Externí odkaz:
https://doaj.org/article/ed415bf7e2cd4283a985be251bd4f75c
Autor:
Le‐Yi Wang, Zhe‐Min Tan
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 15, Iss 1, Pp n/a-n/a (2023)
Abstract The research on tropical cyclone (TC) relieson numerical models and simulations, with the currently widely used boundary layer parameterization posing a significant challenge on accurately predicting turbulent mixing. However, machine learni
Externí odkaz:
https://doaj.org/article/2b69c7ab738a408fbff09916deee9a38
Publikováno v:
Atmosphere, Vol 14, Iss 7, p 1096 (2023)
Atmospheric vortex streets (AVSs) are often observed in the wake of the leeward side of mountainous islands and are considered atmospheric analogs of the classic Kármán vortex street when a fluid flows past a cylindrical obstacle. The prevailing we
Externí odkaz:
https://doaj.org/article/e6dc92e69c7f47f1adf45acef649d99f
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 14, Iss 5, Pp n/a-n/a (2022)
Abstract An analog offline ensemble Kalman filter (AOEnKF) is proposed, which constructs ensemble priors from a control climate simulation for each assimilation time based on an analog criterion using proxy observations. Even though AOEnKF is an offl
Externí odkaz:
https://doaj.org/article/179536a1a41042d4b41a89a2b8b7a766
Publikováno v:
Geophysical Research Letters, Vol 48, Iss 16, Pp n/a-n/a (2021)
Abstract The prediction of tropical cyclones (TC) genesis remains a great challenge. This study shows that the radiation (mostly cloud‐radiation) feedback accelerates the formation of Typhoon Haiyan (2013) by first enhancing the mid‐level circula
Externí odkaz:
https://doaj.org/article/6a807a3424ee40caa12914aeb9e9301d