Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Kecheng Peng"'
Autor:
Chunnan Suo, Anxiang Sun, Chunwang Yan, Xiaoqun Cao, Kecheng Peng, Yulong Tan, Simin Yang, Yiming Wei, Guangjie Wang
Publikováno v:
Atmosphere, Vol 15, Iss 10, p 1153 (2024)
The accuracy of ERA5 reanalysis datasets and their applicability in the coastal area of Bohai Bay are crucial for weather forecasting and environmental protection research. However, synthesis evaluation of ERA5 in this region remains lacking. In this
Externí odkaz:
https://doaj.org/article/717558f9b5ab4239913dc8f7974ef7f7
Autor:
Simin Yang, Yongjing Ma, Wenyu Zhang, Xinbing Ren, Kecheng Peng, Masroor Ahmad, Danjie Jia, Dandan Zhao, Lingbin Kong, Yining Ma, Jinyuan Xin
Publikováno v:
Remote Sensing, Vol 16, Iss 6, p 1075 (2024)
The Gradient Richardson Number (Ri) is an important parameter for appraising the stability and turbulence exchange at the atmospheric boundary layer (ABL). However, high-resolution measurements of Ri profiles are rarely reported, especially in megaci
Externí odkaz:
https://doaj.org/article/7a128e41000d4b6a8b5947402064a639
Autor:
Yiming Wei, Kecheng Peng, Yongjing Ma, Yankun Sun, Dandan Zhao, Xinbing Ren, Simin Yang, Masroor Ahmad, Xiaole Pan, Zifa Wang, Jinyuan Xin
Publikováno v:
Remote Sensing, Vol 16, Iss 3, p 548 (2024)
Mountainous terrains are typical over southeast China, with complex and diverse topography, large terrain undulations, rich geographic features, and meteorological variations. Previous studies show that ERA5 meteorological variables are generally acc
Externí odkaz:
https://doaj.org/article/048fc74f544b497697b72effc09ba6a6
Fourier filter-based physics- information convolutional recurrent network for 2D incompressible flow
Publikováno v:
Frontiers in Physics, Vol 10 (2022)
Physics-informed convolutional recurrent network (PhyCRNet) can solve partial differential equations without labeled data by encoding physics constraints into the loss function. However, the finite-difference filter makes the solution of 2D incompres
Externí odkaz:
https://doaj.org/article/2d29c2dec9d94f98bcc4d63964a7e842
Publikováno v:
Sensors, Vol 22, Iss 15, p 5583 (2022)
In July 2021, an extreme precipitation event occurred in Henan, China, causing tremendous damage and deaths; so, it is very important to study the observation technology of extreme precipitation. Surface rain gauge precipitation observations have hig
Externí odkaz:
https://doaj.org/article/cd7cfb790543422fbbffcad9893ae528
Publikováno v:
Entropy, Vol 23, Iss 10, p 1314 (2021)
The variation of polar vortex intensity is a significant factor affecting the atmospheric conditions and weather in the Northern Hemisphere (NH) and even the world. However, previous studies on the prediction of polar vortex intensity are insufficien
Externí odkaz:
https://doaj.org/article/2c3a7464015a4988bd73992bc6dc2fb6
Publikováno v:
Symmetry, Vol 13, Iss 6, p 931 (2021)
The intensity variation of the South Asian high (SAH) plays an important role in the formation and extinction of many kinds of mesoscale systems, including tropical cyclones, southwest vortices in the Asian summer monsoon (ASM) region, and the precip
Externí odkaz:
https://doaj.org/article/bbb6be9dfd4f42b0a6c2f225959c9a4d
Publikováno v:
Symmetry, Vol 12, Iss 6, p 893 (2020)
El Niño is an important quasi-cyclical climate phenomenon that can have a significant impact on ecosystems and societies. Due to the chaotic nature of the atmosphere and ocean systems, traditional methods (such as statistical methods) are difficult
Externí odkaz:
https://doaj.org/article/43896e9e33ef46adae06da722d5ddfc2
Publikováno v:
E3S Web of Conferences, Vol 185, p 02025 (2020)
Atmospheric systems are typically chaotic and their chaotic nature is an important limiting factor for weather forecasting and climate prediction. So far, there have been many studies on the simulation and prediction of chaotic systems using numerica
Externí odkaz:
https://doaj.org/article/5f5ee27ba4334a8d9ba1936d4cdcd35b
Publikováno v:
Communications in Theoretical Physics.
Partial differential equation (PDE) is an important tool for scientific research and are widely used in various fields. However, it is usually very difficult to obtain accurate analytical solutions of partial differential equations, and numerical met
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb660f23994dc51797947700e752d196
https://doi.org/10.1088/1572-9494/accb8d
https://doi.org/10.1088/1572-9494/accb8d