Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Renzhi Jing"'
Autor:
Renzhi Jing, Jianxiong Gao, Yunuo Cai, Dazhi Xi, Yinda Zhang, Yanwei Fu, Kerry Emanuel, Noah S. Diffenbaugh, Eran Bendavid
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 16, Iss 10, Pp n/a-n/a (2024)
Abstract Synthetic downscaling of tropical cyclones (TCs) is critically important to estimate the long‐term hazard of rare high‐impact storm events. Existing downscaling approaches rely on statistical or statistical‐deterministic models that ar
Externí odkaz:
https://doaj.org/article/143a156a35fe4d598a1bc1766380b56b
Autor:
Mingfeng Huang, Qing Wang, Maofeng Liu, Ning Lin, Yifan Wang, Renzhi Jing, Jianping Sun, Hiroyuki Murakami, Wenjuan Lou
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract Despite a variety of studies on the tropical cyclone (TC) response to climate change, few of them have examined the projected damages of future TCs. Here we quantify the impact of anthropogenic warming on TC-induced damages in the late twent
Externí odkaz:
https://doaj.org/article/ed83e3906e784316b55edda527131001
Autor:
Renzhi Jing, Ning Lin
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 12, Iss 3, Pp n/a-n/a (2020)
Abstract The Princeton environment‐dependent probabilistic tropical cyclone (PepC) model is developed for generating synthetic tropical cyclones (TCs) to support TC risk assessment. PepC consists of three components: a hierarchical Poisson genesis
Externí odkaz:
https://doaj.org/article/132f7e1e5e1646828d9671603b1681e8
This data is the first version of PepC-generated data for Northwestern Pacific Basin; This is only a test version.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::304bab00b9f978e7742be1e3898606c9
Publikováno v:
Journal of Climate. :1-48
In this study, we investigate the response of tropical cyclones (TCs) to climate change by using the Princeton environment-dependent probabilistic tropical cyclone (PepC) model and a statistical-deterministic method to downscale TCs using environment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::403ffca7ecd31ea5eb6fb04affb1c6d5
https://doi.org/10.1175/jcli-d-21-0071.1
https://doi.org/10.1175/jcli-d-21-0071.1
The upper bound of tropical cyclone (TC) intensity is usually estimated from the available thermodynamic energy in the environment. But internal dynamics of the vortex also put constraints on TC intensity. Here we show quantitatively the internal con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::797b11c0e630017ef56983849b74a529
https://doi.org/10.21203/rs.3.rs-2060046/v1
https://doi.org/10.21203/rs.3.rs-2060046/v1
Publikováno v:
Journal of Wind Engineering and Industrial Aerodynamics. 228:105119
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c7c5e8c9ec8daf5ef27ad733b2bc7b8
https://doi.org/10.1016/j.jweia.2022.105119
https://doi.org/10.1016/j.jweia.2022.105119
Publikováno v:
Journal of Wind Engineering and Industrial Aerodynamics. 218:104792
A general framework of typhoon full-track simulation for the Western North Pacific (WNP) basin is presented in this paper. Specifically, an empirical TC track model integrated with two intensity models, i.e., a classical Vickery intensity regression
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7cf8eacee7f947d27ffe94289d906039
https://doi.org/10.1016/j.jweia.2021.104792
https://doi.org/10.1016/j.jweia.2021.104792
Publikováno v:
Monthly Weather Review. 145:2813-2831
A progression of advanced statistical methods is applied to investigate the dependence of the 6-h tropical cyclone (TC) intensity change on various environmental variables, including the recently developed ventilation index (VI). The North Atlantic (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f61627b95a7b0a5c2f7550c5a956780
https://doi.org/10.1175/mwr-d-16-0368.1
https://doi.org/10.1175/mwr-d-16-0368.1
Autor:
Renzhi Jing, Ning Lin
A hidden Markov model is developed to simulate tropical cyclone intensity evolution dependent on the surrounding large-scale environment. The model considers three unobserved (hidden) discrete states of storm intensity change and associates each stat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ba4891169020b795445df1dd70562ff