Zobrazeno 1 - 10
of 694
pro vyhledávání: '"Doppler weather radar"'
Publikováno v:
Applied Computing and Geosciences, Vol 24, Iss , Pp 100209- (2024)
The knowledge of type of precipitating cloud is crucial for radar based quantitative estimates of precipitation. We propose a novel model called CloudSense which uses machine learning to accurately identify the type of precipitating clouds over the c
Externí odkaz:
https://doaj.org/article/1586e06bed624a9baa7976dc332bce8b
Publikováno v:
Gaoyuan qixiang, Vol 43, Iss 3, Pp 749-761 (2024)
Using the basic data from four C-band Doppler weather radars and ground observation data in Shanxi province， the statistical analysis of the V-shaped gap features observed in Shanxi from 2009 to 2017 was conducted.The correspondence between V-shape
Externí odkaz:
https://doaj.org/article/75a2dd9f6c5047deb2a2c392e6efadaa
Analysis of Strong Wind Characteristics Using Doppler Weather Radar over Kualanamu Airport Indonesia
Publikováno v:
Journal of Applied Geospatial Information, Vol 8, Iss 1, Pp 6-11 (2024)
Strong wind is one of the weather phenomena that can be dangerous for aviation safety. According to observation data from the Kualanamu Meteorological Station, there were 61 strong winds with speeds greater than or equal to 15 knots in 2020, which in
Externí odkaz:
https://doaj.org/article/26547a2c8045466cad935b6f27a6d196
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 19998-20011 (2024)
Extreme precipitation events greatly threaten people's daily lives and safety, making accurate and timely precipitation estimation especially critical. However, common methods like radar and satellite remote sensing have limitations due to coverage a
Externí odkaz:
https://doaj.org/article/21e90a66228a49fbb075e6143ec43c9b
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 1026-1045 (2024)
Spectral polarization filtering in the range–Doppler domain plays an important role in weather radar clutter mitigation. However, when ground clutter and precipitation overlap, these methods tend to filter out clutter-contaminated precipitation, le
Externí odkaz:
https://doaj.org/article/b897d5e133724696ade31cdaec967a8c
Autor:
Mario Montopoli, Clizia Annella, Luca Baldini, Elisa Adirosi, Vincenzo Capozzi, Gianfranco Vulpiani
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 11655-11669 (2024)
In-cloud motion vector retrieval is of great interest in several atmospheric science research fields. Short time extrapolation of radar data (precipitation nowcasting), assimilation into numerical weather prediction models, study of atmospheric circu
Externí odkaz:
https://doaj.org/article/537ed25146424ab5844b6c88468f36f5
Akademický článek
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Publikováno v:
Atmosphere, Vol 15, Iss 8, p 1010 (2024)
Jiangsu is a province in China and has the highest frequency of tornado occurrences. Studying the meteorological background and mechanisms of tornado formation is crucial for predicting tornado events and preventing the resulting disasters. This pape
Externí odkaz:
https://doaj.org/article/b378e688668c4957a5b09c7d687d6f7b
Observation and simulation study on the rapid intensification mechanism of Typhoon 'Mekkhala' (2006)
Publikováno v:
Frontiers in Earth Science, Vol 11 (2023)
Based on Doppler Weather radar observations and numerical simulations applying the Weather Research and Forecasting (WRF) system, this study focused on the rapid intensification (RI) of Typhoon “Mekkhala” (2006) in the inshore area in 2020. The s
Externí odkaz:
https://doaj.org/article/67cb20db6f2f404185f90d25a7cb2435
Publikováno v:
Frontiers in Earth Science, Vol 11 (2023)
This paper analyzes the weather background and triggering mechanism before the occurrence of an EF3 tornado on 14 May 2021, in southern Jiangsu, using multi-source data. Results show that 1) the tornado occurred in the warm and humid area inside the
Externí odkaz:
https://doaj.org/article/51a2f0b6501c4c8cbc88832ad566ee43