Zobrazeno 1 - 10
of 277
pro vyhledávání: '"Zhiqiu GAO"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Landslides are highly destructive geological disasters that pose a serious threat to the safety of people’s lives and property. In this study, historical records of landslides in Yunnan Province, along with eight underlying factors of land
Externí odkaz:
https://doaj.org/article/838d3463de3e4f48913877b32efaa386
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Low visibility weather easily leads to traffic accidents, posing threats to human life and property. To accurately forecast visibility, we conduct an empirical study focusing on Jiangsu Province. Firstly, we collect the monitoring data from
Externí odkaz:
https://doaj.org/article/a7a5d059d2594c8b926f61d19657619d
Autor:
Linlin Wang, Bingcheng Wan, Yuanjian Yang, Sihui Fan, Yi Jing, Xueling Cheng, Zhiqiu Gao, Shiguang Miao, Han Zou
Publikováno v:
Remote Sensing, Vol 16, Iss 22, p 4246 (2024)
The limited understanding of the structure of the urban surface atmospheric boundary layer can be attributed to its inherent complexity, as well as a deficiency in comprehensive measurements. We analyzed one year of meteorological data and Doppler wi
Externí odkaz:
https://doaj.org/article/76654c561c4147a2b562117d6f7dd767
Publikováno v:
Atmosphere, Vol 15, Iss 10, p 1229 (2024)
In this study, we propose a model called CNN-BiLSTM-AM that utilizes deep learning techniques to forecast severe convective weather based on ERA5 hourly data and observations. The model integrates a CNN with a Bidirectional Long Short-Term Memory (Bi
Externí odkaz:
https://doaj.org/article/70a166a6424e4e13bc43cc67a1dd70c7
Publikováno v:
Atmosphere, Vol 15, Iss 10, p 1182 (2024)
Numerical experiments using the WRF model were conducted to analyze the sensitivity of Typhoon Mangkhut intensification simulations to seven widely used planetary boundary layer (PBL) parameterization schemes, including YSU, MYJ, QNSE, MYNN2, MYNN3,
Externí odkaz:
https://doaj.org/article/54b1c8b8696a4f33aaadaf55808df1eb
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 5, Pp n/a-n/a (2024)
Abstract Three‐dimensional global precipitation observation is crucial for understanding climate and weather dynamics. While spaceborne precipitation radars provide precise but limited observations, passive microwave imagers are available much more
Externí odkaz:
https://doaj.org/article/0ac3da0f40134bb381671b53b21f8deb
Publikováno v:
Frontiers in Earth Science, Vol 12 (2024)
Surface energy balance has always been a goal of those studying the Earth’s climate system. However, many studies have demonstrated that turbulent heat fluxes are usually underestimated by eddy covariance (EC) measurements, such that the energy bal
Externí odkaz:
https://doaj.org/article/3c1b5acbfb664ac489d20d5f4aef12fe
Publikováno v:
Gaoyuan qixiang, Vol 42, Iss 2, Pp 359-373 (2023)
Utilizing the ice thickness data， temperature data， relative humidity data， meteorological reanalysis data and topographic elevation data obtained from the icing monitoring system of ultra-high-voltage transmission lines in China Southern Power
Externí odkaz:
https://doaj.org/article/6b24da9d9f0c4b2eaa5260e5a806f355
Publikováno v:
Atmosphere, Vol 15, Iss 6, p 631 (2024)
Systematic biases and coarse resolutions are major limitations of current precipitation datasets. Many studies have been conducted for precipitation bias correction and downscaling. However, it is still challenging for the current approaches to handl
Externí odkaz:
https://doaj.org/article/1e0d0708dc774365b1a4b897d775b131
Publikováno v:
Remote Sensing, Vol 16, Iss 11, p 1976 (2024)
In this study, a novel method for retrieving atmospheric temperature profiles with tree-structured Parzen estimator (TPE) and multilayer perceptron (MLP) algorithms was proposed, using FY-4A/GIIRS (Geosynchronous Interferometric Infrared Sounder) and
Externí odkaz:
https://doaj.org/article/ade448cd3e9745d79d44d44c7e3b377d