Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Zhaoping KANG"'
Autor:
Dengxin HE, Anwei LAI, Wen ZHANG, Zhaoping KANG, Junchao WANG, Shanshan WANG, Yinglian GUO, Hedi MA, Zhibin WANG
Publikováno v:
暴雨灾害, Vol 43, Iss 3, Pp 288-298 (2024)
The forecast of the global numerical weather prediction model is often used as the background field to drive the regional mesoscale weather models, and its forecast quality has an important impact on the prediction skill of regional models. The mesos
Externí odkaz:
https://doaj.org/article/9523f307d8784de4a5b8ff18f6090327
Publikováno v:
暴雨灾害, Vol 42, Iss 4, Pp 372-383 (2023)
Affected by a trough and shear line, a Meiyu heavy rainfall event occurred in Hubei Province from June 27th to 28th in 2020, resulting in severe disasters and significant economic losses.. To investigate the impact of microphysical processes on Meiyu
Externí odkaz:
https://doaj.org/article/862825e0112a47df8e347dd7906d8012
Publikováno v:
Remote Sensing, Vol 16, Iss 9, p 1636 (2024)
The present study assesses the simulated precipitation and cloud properties using three microphysics schemes (Morrison, Thompson and MY) implemented in the Weather Research and Forecasting model. The precipitation, differential reflectivity (ZDR), sp
Externí odkaz:
https://doaj.org/article/80850361bbac4aedb1dcf1d055b1e3ca
Publikováno v:
Atmosphere, Vol 14, Iss 6, p 1001 (2023)
This study analyzes the different impacts of autoconversion of cloud droplets to raindrops (ACR) in a Meiyu front rainfall event by comparing two simulations using different parameterizations (KK00 and LD04) in the Weather Research and Forecasting (W
Externí odkaz:
https://doaj.org/article/03e3c6b722804964b80c92138db30880
Publikováno v:
暴雨灾害, Vol 39, Iss 5, Pp 462-469 (2020)
In this paper, the rainstorm event on 4 July 2018 in central China was simulated using YHGS model product driven WRF, and the application capability of YHGS model product in this forecast was evaluated by comparing to the initial field simulation res
Externí odkaz:
https://doaj.org/article/7cae784796574bd79b17ccfdec9e25b2
Publikováno v:
暴雨灾害, Vol 39, Iss 4, Pp 392-399 (2020)
In this study, forecast error is devived into two components, i.e., systematic forecast error and non-systematic forecast error. After the correction of systematic forecast error, variational method is used to estimate and correct the non-systematic
Externí odkaz:
https://doaj.org/article/085ecc2212c64cb38d7f728fb4648c5b
Publikováno v:
暴雨灾害, Vol 38, Iss 6, Pp 658-667 (2019)
Using the Weather Research and Forecasting (WRF) model, a heavy rainfall in central China during 30 June to 1 Jul 2016 is simulated to explore the effects of different horizontal resolutions and microphysical schemes. The results show that:(1) all of
Externí odkaz:
https://doaj.org/article/a1e8e970176749fc9f293a39e107925f
Publikováno v:
Advances in Meteorology, Vol 2020 (2020)
Better simulations and predictions of heavy rainfall associated with Meiyu fronts are critical for flood management in the Yangtze River Valley, China. This work systematically evaluates and compares the performances of three microphysics schemes in
Externí odkaz:
https://doaj.org/article/372190c69768478e9dde8adbf2c8017f
Publikováno v:
Advances in Meteorology, Vol 2019 (2019)
To implement deterministic short-range numerical weather forecast error correction, this study develops a novel approach using the variational method and historical data. Based on time-dependency characteristic of nonsystematic forecast error, variat
Externí odkaz:
https://doaj.org/article/043b15c4e9b64a478e7b231a5f4d8159
Publikováno v:
Atmosphere; Volume 14; Issue 6; Pages: 1001
This study analyzes the different impacts of autoconversion of cloud droplets to raindrops (ACR) in a Meiyu front rainfall event by comparing two simulations using different parameterizations (KK00 and LD04) in the Weather Research and Forecasting (W
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::142e341bd9ab4c02d456753ddab1c3f8