Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Shanhong Gao"'
Publikováno v:
Remote Sensing, Vol 16, Iss 10, p 1656 (2024)
Entrainment at the top of the planetary boundary layer (PBL) is of significant importance because it controls the upward growth of the PBL height. An option called ysu_topdown_pblmix, which provides a parameterization of fog-top entrainment, has been
Externí odkaz:
https://doaj.org/article/3ff48fafca04461b938180e505e48b72
Publikováno v:
Frontiers in Earth Science, Vol 10 (2023)
Numerical forecast of sea fog is very challenging work because of its high sensitivity to model initial conditions. For better depicting the humidity structure of the marine atmospheric boundary layer (MABL), Wang et al. (2014) assimilated satellite-
Externí odkaz:
https://doaj.org/article/c20910a74b01422a9fd4b487ff35d597
Publikováno v:
Remote Sensing, Vol 14, Iss 18, p 4537 (2022)
Assimilation of satellite-derived humidity with a homogenous static background error covariance (B) matrix computed over the entire computational domain (Full-B) tends to overpredict sea fog coverage. A feature-dependent B (Fog-B) is proposed to addr
Externí odkaz:
https://doaj.org/article/8bfa3edd561845248be2d61d7ac4c5cb
Publikováno v:
Energies, Vol 15, Iss 12, p 4223 (2022)
For the first time, the Weather Research and Forecast (WRF) model with the Wind Farm Parameterization (WFP) modeling method is utilized for a short-range wind power forecast simulation of 48 h of an offshore wind farm with 100 turbines located on the
Externí odkaz:
https://doaj.org/article/d731a81450bf4e06b77577702b92392c
Autor:
Xiaoyu Gao, Shanhong Gao
Publikováno v:
Advances in Meteorology, Vol 2020 (2020)
Numerical modeling of sea fog is highly sensitive to initial conditions, especially to moisture in the marine atmospheric boundary layer (MABL). Data assimilation plays a vital role in the improvement of initial MABL moisture for sea fog modeling ove
Externí odkaz:
https://doaj.org/article/17d74150611e4a2d90e13ac592802113
Publikováno v:
Atmosphere, Vol 13, Iss 2, p 165 (2022)
Among the China Seas, the Yellow Sea has the highest occurrence frequency of sea fog that can be categorized into widespread sea fog and coastal sea fog. In this paper, we study a typical coastal sea fog along the Shandong Peninsula that is accompani
Externí odkaz:
https://doaj.org/article/677046b76a044cb6a433c2638f87f401
Publikováno v:
Atmosphere, Vol 10, Iss 5, p 237 (2019)
The Pearl River Delta (PRD), a region with the fastest economic development and urbanization in China, sometimes has severe haze pollution caused by fine particulate matter (PM2.5). From October to April of the following year, the PRD is influenced b
Externí odkaz:
https://doaj.org/article/5dd4a50816f64d39a36973b71233d0c2
Publikováno v:
Atmosphere, Vol 9, Iss 9, p 346 (2018)
The data assimilation method to improve the sea fog forecast over the Yellow Sea is usually three-dimensional variational assimilation (3DVAR), whereas ensemble Kalman filter (EnKF) has not yet been applied to this weather phenomenon. In this paper,
Externí odkaz:
https://doaj.org/article/9ed1af0804174b40aa4493d0683e65f8
Publikováno v:
Journal of Cleaner Production. 367:132789
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dbc7e12ec7429a7a9a1ae2acee0f285a
https://doi.org/10.1016/j.jclepro.2022.132789
https://doi.org/10.1016/j.jclepro.2022.132789
Publikováno v:
Journal of Geophysical Research: Atmospheres. 124:10608-10625
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4dd5060bdb7f3a06806a06d0e00d6772
https://doi.org/10.1029/2019jd030968
https://doi.org/10.1029/2019jd030968