Zobrazeno 1 - 10
of 1 604
pro vyhledávání: '"quantitative precipitation estimation"'
Publikováno v:
Qixiang keji, Vol 52, Iss 5, Pp 619-629 (2024)
The optimal interpolation method is widely used in meteorological applications worldwide. However, due to the different precipitation climate characteristics and the spatial distribution of gauges, the implementation of the optimal interpolation meth
Externí odkaz:
https://doaj.org/article/fb72e4a12b874b418c95fb6c12b5538c
Publikováno v:
Gaoyuan qixiang, Vol 43, Iss 1, Pp 99-113 (2024)
The variation in precipitation in Motuo is closely associated with the transport of water vapor from the India Ocean and the Bay of Bengal to inland China， the Asia summer monsoon， and the progression of the rain band in eastern China.A rain band
Externí odkaz:
https://doaj.org/article/05156d95bbe5468fb759295c006640b4
Publikováno v:
Remote Sensing, Vol 16, Iss 21, p 3985 (2024)
Accurate quantitative precipitation estimation (QPE) is fundamental for a large number of hydrometeorological applications, especially when addressing extreme rainfall phenomena. This paper presents a comprehensive comparison of various rainfall esti
Externí odkaz:
https://doaj.org/article/7f49f68f5af94113b8cf277b743a647b
Autor:
Yong Zeng, Lianmei Yang, Zepeng Tong, Yufei Jiang, Abuduwaili Abulikemu, Xinyu Lu, Xiaomeng Li
Publikováno v:
Remote Sensing, Vol 16, Iss 20, p 3859 (2024)
Raindrop size distribution (DSD) has an essential effect on rainfall kinetic energy estimation (RKEE) and dual-polarization radar quantitative precipitation estimation (QPE); DSD is a key factor for establishing a dual-polarization radar QPE scheme a
Externí odkaz:
https://doaj.org/article/43b129c7fa6441e89202858bad29c30b
Akademický článek
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Publikováno v:
暴雨灾害, Vol 42, Iss 4, Pp 437-445 (2023)
Quantitative precipitation estimation (QPE) is one of the important applications of dual-polarization radar. Four commonly used QPE methods include R(ZH) based on reflectivity (ZH), R(ZH, ZDR) based on ZH and differential reflectivity (ZDR), R(Kdp) b
Externí odkaz:
https://doaj.org/article/eafb5633132a4afc8c6c2c04aaf6ac85
Publikováno v:
Papers in Physics, Vol 15 (2023)
The study of precipitation is one of the most intriguing areas in atmospheric sciences, with significant implications for our daily lives and climate change projections. This paper explores the estimation of rainfall trends in South American regions
Externí odkaz:
https://doaj.org/article/031fee8252b6442c84b5c766452d85c2
Autor:
Fernanda F. Verdelho, Cesar Beneti, Luis G. Pavam, Leonardo Calvetti, Luiz E. S. Oliveira, Marco A. Zanata Alves
Publikováno v:
Remote Sensing, Vol 16, Iss 11, p 1971 (2024)
In addressing the challenges of quantitative precipitation estimation (QPE) using weather radar, the importance of enhancing the rainfall estimates for applications such as flash flood forecasting and hydropower generation management is recognized. T
Externí odkaz:
https://doaj.org/article/b623c6a7561c4045b7bb6334de699c1d
Publikováno v:
Symmetry, Vol 16, Iss 5, p 555 (2024)
Quantitative precipitation estimation (QPE) by radar observation data is a crucial aspect of meteorological forecasting operations. Accurate QPE plays a significant role in mitigating the impact of severe convective weather. Traditional QPE methods m
Externí odkaz:
https://doaj.org/article/17eb7c0354124d75a76d1364dfa90e2d
Publikováno v:
Earth and Space Science, Vol 10, Iss 8, Pp n/a-n/a (2023)
Abstract Unlike actual rainfall, the spatial extent of rainfall maps is often determined by administrative and political boundaries. Similarly, data from commercial microwave links (CMLs) is usually acquired on a national basis and exchange among cou
Externí odkaz:
https://doaj.org/article/8dfae3e6eead4b90890ce887b64e5ca3