Zobrazeno 1 - 10
of 157
pro vyhledávání: '"Jinzhong Min"'
Publikováno v:
Remote Sensing, Vol 16, Iss 21, p 4105 (2024)
Satellite data play an irreplaceable role in global observation data systems. Effective comprehensive application of satellite products will inevitably improve numerical weather prediction. FengYun-4 (FY-4) series satellites can provide not only radi
Externí odkaz:
https://doaj.org/article/41a81be4080c48ed80b084434cc4b14a
Publikováno v:
Remote Sensing, Vol 16, Iss 14, p 2655 (2024)
Contrasting the X-band phased array radar (XPAR) with the conventional S-Band dual-polarization mechanical scanning radar (SMSR), the XPAR offers superior temporal and spatial resolution, enabling a more refined depiction of the internal dynamics wit
Externí odkaz:
https://doaj.org/article/638728c88c53486bb419a9744913bfaf
Publikováno v:
Gaoyuan qixiang, Vol 41, Iss 3, Pp 684-697 (2022)
Warm-sector torrential rainfall event under the background of weak synoptic-scale forcing is difficult to predict accurately due to less knowledge on its initiation and development mechanism.In order to further investigate the practical and intrinsic
Externí odkaz:
https://doaj.org/article/a5306a968356413ea88412d96e96ecea
Publikováno v:
Frontiers in Earth Science, Vol 11 (2023)
Aerosols are the main components of air pollutants, which are closely related to haze, dust storm and air pollution. In this study, an aerosol data assimilation system was developed using Gridpoint Statistical Interpolation (GSI) system to assimilate
Externí odkaz:
https://doaj.org/article/9e4e2dd3731b4edf978bbb47a1f576ab
Publikováno v:
Remote Sensing, Vol 15, Iss 17, p 4314 (2023)
Ground-based microwave radiometer (GMWR) data with high spatial and temporal resolution can improve the accuracy of weather forecasts when effectively assimilated into numerical weather prediction. Nowadays, the major method to assimilate these data
Externí odkaz:
https://doaj.org/article/f91647b6be71433ebfc72a4bc47fabdf
Publikováno v:
Sensors, Vol 23, Iss 13, p 5785 (2023)
Precipitation nowcasting refers to the use of specific meteorological elements to predict precipitation in the next 0–2 h. Existing methods use radar echo maps and the Z–R relationship to directly predict future rainfall rates through deep learni
Externí odkaz:
https://doaj.org/article/ce1d8a9a4ffa434994efa9b66954905b
Autor:
Shiqi Wang, Jinzhong Min
Publikováno v:
Atmosphere, Vol 14, Iss 5, p 884 (2023)
Tornadoes are extremely destructive natural disasters, and East China has become a high-incidence area for tornadoes in China in recent years. On 7 July 2013, an EF2-intensity tornado occurred in Gaoyou County, Jiangsu Province in eastern China, with
Externí odkaz:
https://doaj.org/article/94afd20e0c12423a9a15dab4f4a0b54e
Publikováno v:
Atmosphere, Vol 14, Iss 3, p 582 (2023)
In order to explore the improvement of radar radial velocity data assimilation on the initial and forecast fields of typhoons, this study assimilates the quality-controlled radial velocity data in the case of Typhoon Linfa (2015) using the three-dime
Externí odkaz:
https://doaj.org/article/56e47319500b4a338226ddac0d69e7e4
Impact of assimilating radar data using a hybrid 4DEnVar approach on prediction of convective events
Publikováno v:
Tellus: Series A, Dynamic Meteorology and Oceanography, Vol 73, Iss 1, Pp 1-19 (2021)
This study developed a hybrid four-dimensional (4D) ensemble–variational (4DEnVar) radar data assimilation (DA) system for the Weather Research and Forecasting model. The 4DEnVar approach incorporated ensemble covariances at multiple time levels to
Externí odkaz:
https://doaj.org/article/275c095559444d7584ce591d4e9e5813
Publikováno v:
Atmosphere, Vol 14, Iss 1, p 176 (2023)
The application of lateral boundary perturbations (LBPs) helps to restore dispersion in convection-allowing ensemble forecasts (CAEFs). However, the applicability of LBPs remains unclear because of the differences between convection systems. Short-ra
Externí odkaz:
https://doaj.org/article/6aa5f516f6bb4f9697c5fc2648ce83ce