Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Zengliang Zang"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 7002-7013 (2024)
Precipitation nowcasting refers to the prediction of small-scale precipitation events at minute and kilometer scales within the upcoming 0 to 2 h, which significantly impacts both human activities and daily life. However, prevailing deep learning mod
Externí odkaz:
https://doaj.org/article/fb1f833d52614dc2a643ad1250ea6b46
Autor:
Qun Long, Zengliang Zang, Xiaoyan Ma, Sheng Fang, Yiwen Hu, Yijie Wang, Shuhan Zhuang, Liang Wang
Publikováno v:
Atmosphere, Vol 15, Iss 6, p 646 (2024)
Based on the Weather Research and Forecasting Model Coupled with Chemistry (WRF-Chem) atmospheric chemistry model, a parameterization scheme for the radioactive isotope caesium (137Cs), considering processes such as advection, turbulent diffusion, dr
Externí odkaz:
https://doaj.org/article/2bf744b419f64d7882c623d6c83fa83d
Publikováno v:
Remote Sensing, Vol 16, Iss 11, p 1852 (2024)
The integration of high-resolution aerosol measurements into an atmospheric chemistry model can improve air quality forecasting. However, traditional data assimilation methods are challenged in effectively incorporating such detailed aerosol informat
Externí odkaz:
https://doaj.org/article/8d8fdf7302d042fca5fb385dd89e2746
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 8286-8296 (2023)
Precipitation nowcasting underlying various public services from rainstorm warning to flight safety is quite important and remains challenging due to the fast change in convective weather. Although some deep learning models have been proposed to make
Externí odkaz:
https://doaj.org/article/17674a71cb534dfdbb3476d841fb14c2
Publikováno v:
Gaoyuan qixiang, Vol 41, Iss 6, Pp 1630-1641 (2022)
The complex and diverse topography of the southwest region generates disastrous weather systems with multi-scale characteristics， and fluctuation information of each scale affects the occurrence and development of the weather systems.In order to in
Externí odkaz:
https://doaj.org/article/f9fd5229b11543c1b41ca219fa7849c8
Publikováno v:
Environmental Research Communications, Vol 6, Iss 10, p 105035 (2024)
Nuclear explosions and accidents release large amounts of radionuclides that harm human health and the environment. Accurate forecasting of nuclide pollutants and assessment of the ramifications of nuclear incidents are necessary for the emergency re
Externí odkaz:
https://doaj.org/article/5863474d40a14c08a08c53b56929eec5
Publikováno v:
Frontiers in Earth Science, Vol 10 (2022)
This study focuses on the interdecadal increase of summertime extreme precipitation over East China in the late 1990s and physical mechanisms behind. The results show that summer extreme precipitation over East China during 1979–2020 demonstrates a
Externí odkaz:
https://doaj.org/article/a6ed9a03dd8442f3b666084c8d04151e
Publikováno v:
Remote Sensing, Vol 15, Iss 3, p 553 (2023)
Accurate atmospheric visibility prediction is of great significance to public transport safety. However, since it is affected by multiple factors, there still remains difficulties in predicting its heterogenous spatial distribution and rapid temporal
Externí odkaz:
https://doaj.org/article/9d3db32e9cf04c9893815c6d21dca50c
Publikováno v:
Remote Sensing, Vol 14, Iss 16, p 4009 (2022)
Based on the Model for Simulating Aerosol Interactions and Chemistry (MOSAIC) aerosol scheme of the Weather Research and Forecasting model coupled with online Chemistry (WRF-Chem) and the three-dimensional variational (3DVAR) assimilation method, a 3
Externí odkaz:
https://doaj.org/article/76b4aa27c9b1493aaded4bf71ed3f28f
Autor:
Zhendong Zhang, Zengliang Zang, Xinghong Cheng, Chunsong Lu, Shunxiang Huang, Yiwen Hu, Yanfei Liang, Lubin Jin, Lei Ye
Publikováno v:
Earth and Space Science, Vol 8, Iss 5, Pp n/a-n/a (2021)
Abstract A three‐dimensional variational (3DVAR) data assimilation method for the aerosol variables of the community multiscale air quality (CMAQ) model was developed. This 3DVAR system uses PM2.5 and PM2.5‐10 (the difference between PM10 and PM2
Externí odkaz:
https://doaj.org/article/2a5a2a25674e478fa5049e2ffb3bb93a