Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Aimei Shao"'
Publikováno v:
Atmosphere, Vol 11, Iss 12, p 1342 (2020)
Doppler wind lidar has played an important role in alerting low-level wind shear (LLW). However, these high-resolution observations are underused in the model-based analysis and forecasting of LLW. In this regard, we employed the Weather Research and
Externí odkaz:
https://doaj.org/article/6ee2007cd25848729ca1738eac97da47
Publikováno v:
Meteorologische Zeitschrift, Vol 22, Iss 1, Pp 35-48 (2013)
In the ensemble-based four dimensional variational assimilation method (SVD-En4DVar), a singular value decomposition (SVD) technique is used to select the leading eigenvectors and the analysis variables are expressed as the orthogonal bases expansion
Externí odkaz:
https://doaj.org/article/c9c96655f1094249b7e497c6b91a9ad9
Publikováno v:
Journal of Meteorological Research. 34:633-645
Lanzhou Zhongchuan International Airport [International Civil Aviation Organization (ICAO) code ZLLL] is located in a wind shear prone area in China, where most low-level wind shear events occur in dry weather conditions. We analyzed temporal distrib
Publikováno v:
Atmospheric Research. 273:106167
Publikováno v:
Atmosphere
Volume 11
Issue 12
Atmosphere, Vol 11, Iss 1342, p 1342 (2020)
Volume 11
Issue 12
Atmosphere, Vol 11, Iss 1342, p 1342 (2020)
Doppler wind lidar has played an important role in alerting low-level wind shear (LLW). However, these high-resolution observations are underused in the model-based analysis and forecasting of LLW. In this regard, we employed the Weather Research and
Autor:
Lanqian Li, Aimei Shao
Low-level wind shear could occur not only in rainy weather conditions but also in non-rainy weather conditions, which is dangerous to aircraft safety for its rapid changes in wind direction or velocity. Recently, dry wind shear occurred in non-rainy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c50c793bca9a49577ddf25be1c9537a
https://doi.org/10.5194/egusphere-egu2020-5030
https://doi.org/10.5194/egusphere-egu2020-5030
Cloud analysis module (GCAS) in GRAPES model can combine radar reflectivity data, satellite data and surface observations to provide there-dimensional cloud information. To show application effect of GCAS on 3-km resolution forecasts in arid and semi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c9f26426fdae44c3e5f89b7efd2d5a3
https://doi.org/10.5194/egusphere-egu2020-5217
https://doi.org/10.5194/egusphere-egu2020-5217
Publikováno v:
Journal of Geophysical Research: Atmospheres. 123:8581-8598
Publikováno v:
Journal of Meteorological Research. 32:598-611
The relationship between the radar reflectivity factor (Z) and the rainfall rate (R) is recalculated based on radar observations from 10 Doppler radars and hourly rainfall measurements at 6529 automatic weather stations over the Yangtze–Huaihe Rive
Publikováno v:
Science China Earth Sciences. 59:2454-2462
In model-based sensitivity studies, the growth of model error over long-term integrations may lead to serious deviations between the simulated and actual states. To reduce these errors, we have developed a new modeling approach with application of th