Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Debin SU"'
Autor:
Debin Su, Jinhua Zhong, Yunong Xu, Linghui Lv, Honglan Liu, Xingang Fan, Lin Han, Fuzeng Wang
Publikováno v:
Atmosphere, Vol 15, Iss 11, p 1366 (2024)
Quantitative precipitation forecast (QPF) verification stands out as one of the most formidable endeavors in the realm of forecast verification. Traditional verification methods are not suitable for high-resolution forecasting products in some cases.
Externí odkaz:
https://doaj.org/article/c53acd709ab24d77b95e191962d21ab1
Publikováno v:
Frontiers in Marine Science, Vol 10 (2024)
The non-uniformity of the evaporation duct has a significant impact on the propagation of electromagnetic waves. Based on the near real-time dataset from the China Meteorological Administration Land Data Assimilation System (CLDAS) and the National C
Externí odkaz:
https://doaj.org/article/1742cb8bdf0a4ffaa897c396584aaf7e
Publikováno v:
Gaoyuan qixiang, Vol 42, Iss 3, Pp 748-757 (2023)
A hail event with rainfall was observed on July 27， 2020 using a two-dimensional video distrometer （2DVD） deployed at Wuyuan National Meteorological Station， Wuyuan County， Bayannur City， Inner Mongolia.After quality controlled of the 2DV
Externí odkaz:
https://doaj.org/article/c841d0c5f867466cba7a1741b3aa5380
Publikováno v:
Atmosphere, Vol 15, Iss 4, p 495 (2024)
Our study and analysis of the distribution differences in raindrop spectra in a Guizhou precipitation prediction model were of great significance for understanding precipitation microphysical processes and improving radar quantitative precipitation p
Externí odkaz:
https://doaj.org/article/666f2a3ad13c409eb3b94206cb08f552
Publikováno v:
Remote Sensing, Vol 16, Iss 6, p 1068 (2024)
Stationary or mobile microwave radiometers (MRs) can measure atmospheric temperature, relative humidity, and water vapor density profiles with high spatio-temporal resolution, but cannot obtain the vertical variations of wind field. Based on a datase
Externí odkaz:
https://doaj.org/article/63d8eb4290e949d2b97e66f63ced99ef
Autor:
Mingming Zhu, Qi Liao, Lin Wu, Si Zhang, Zifa Wang, Xiaole Pan, Qizhong Wu, Yangang Wang, Debin Su
Publikováno v:
Remote Sensing, Vol 15, Iss 14, p 3466 (2023)
Radar reflectivity data snapshot fine-grained atmospheric variations that cannot be represented well by numerical weather prediction models or satellites, which poses a limit for nowcasts based on model–data fusion techniques. Here, we reveal a mul
Externí odkaz:
https://doaj.org/article/e81951b17a7d40608640d00aa4574c27
Publikováno v:
Remote Sensing, Vol 15, Iss 13, p 3317 (2023)
The propagation of electromagnetic waves beyond the line of sight can be caused by atmospheric ducts, which are significant concerns in the fields of radar and communication. This paper utilizes data from seven automatic weather stations and five rad
Externí odkaz:
https://doaj.org/article/76ee75c7c83c4a1c920216b15ed1a79d
Publikováno v:
Atmosphere, Vol 14, Iss 6, p 1031 (2023)
The change in raindrop spectrum characteristics is an important factor affecting the accuracy of estimations of precipitation. The in-depth study of raindrop spectrum characteristics is of great interest for understanding precipitation process and im
Externí odkaz:
https://doaj.org/article/2ddfa3443e7b4843bc1adf808593eee4
Publikováno v:
Atmosphere, Vol 14, Iss 3, p 574 (2023)
Based on the Morrison Two-Moment Scheme coupled with the non-inductive electrification mechanism and the discharge parameterization scheme in the Weather Research and Forecasting (WRF) model, a thunderstorm process was simulated by using the WRF elec
Externí odkaz:
https://doaj.org/article/f6efe7529b3643d984889edc41624c5a
Publikováno v:
Remote Sensing; Volume 15; Issue 13; Pages: 3317
The propagation of electromagnetic waves beyond the line of sight can be caused by atmospheric ducts, which are significant concerns in the fields of radar and communication. This paper utilizes data from seven automatic weather stations and five rad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::6a0aff82d6ad531e4baffccb7225541a