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Vertical Distribution and Transport of Aerosols during a Dust Event in Xinjiang, Northwest China
Springer Science and Business Media LLC - Tập 37 - Trang 387-403 - 2023
Mengzhu Xu, Jianli Ding, Jie Liu, Fangqing Liu, Xiaoye Jin, Yi Qu
Dust aerosols profoundly influence the radiative balance of the earth–atmosphere system and hence the global and regional climates. In this study, using multi-source satellite and ground-level observations combined with meteorological data, we investigated the three-dimensional evolution and transport characteristics of aerosols during a dust event that occurred in Xinjiang, China from 19 to 21 Ma...... hiện toàn bộ
Analysis of the mechanism underlying Tibetan Plateau vortex frequency difference between strong and weak MJO periods
Springer Science and Business Media LLC - Tập 31 - Trang 530-539 - 2017
Guoping Li, Fuhu Zhao
In this paper, the NCEP/DOE reanalysis data, OLR data from NOAA, Australian Meteorological Bureau real-time multivariate MJO index, and Tibetan Plateau vortex (TPV) statistical data from the Chengdu Institute of Plateau Meteorology, are used to discuss the modulation of the TPV by the MJO, through applying the wavelet analysis and composite analysis. The results show that: (1) The MJO plays an imp...... hiện toàn bộ
Development and Evaluation of Hourly and Kilometer Resolution Retrospective and Real-Time Surface Meteorological Blended Forcing Dataset (SMBFD) in China
Springer Science and Business Media LLC - Tập 33 - Trang 1168-1181 - 2020
Shuai Han, Chunxiang Shi, Bin Xu, Shuai Sun, Tao Zhang, Lipeng Jiang, Xiao Liang
A real-time, long-term surface meteorological blended forcing dataset (SMBFD) has been developed based on station observations, satellite retrievals, and reanalysis products in China. The observations are collected at national and regional automatic weather stations, satellite data are obtained from the Fengyun (FY) series satellites retrievals, and the reanalysis products are obtained from the EC...... hiện toàn bộ
Applying the WRF Double-Moment Six-Class Microphysics Scheme in the GRAPES_Meso Model: A Case Study
Springer Science and Business Media LLC - Tập 32 - Trang 246-264 - 2018
Meng Zhang, Hong Wang, Xiaoye Zhang, Yue Peng, Huizheng Che
This study incorporated the Weather Research and Forecasting (WRF) model double-moment 6-class (WDM6) microphysics scheme into the mesoscale version of the Global/Regional Assimilation and PrEdiction System (GRAPES_Meso). A rainfall event that occurred during 3–5 June 2015 around Beijing was simulated by using the WDM6, the WRF single-moment 6-class scheme (WSM6), and the NCEP 5-class scheme, resp...... hiện toàn bộ
Science and Prediction of Heavy Rainfall over China: Research Progress since the Reform and Opening-Up of New China
Springer Science and Business Media LLC - Tập 34 - Trang 427-459 - 2020
Yali Luo, Jisong Sun, Ying Li, Rudi Xia, Yu Du, Shuai Yang, Yuanchun Zhang, Jing Chen, Kan Dai, Xueshun Shen, Haoming Chen, Feifan Zhou, Yimin Liu, Shenming Fu, Mengwen Wu, Tiangui Xiao, Yangruixue Chen, Huiqi Li, Mingxin Li
This paper reviews the major progress on development of the science and prediction of heavy rainfall over China since the beginning of the reform and opening-up of new China (roughly between 1980 and 2019). The progress of research on the physical mechanisms of heavy rainfall over China is summarized from three perspectives: 1) the relevant synoptic weather systems, 2) heavy rainfall in major sub-...... hiện toàn bộ
Probabilistic Wind Gust Forecasting during the 2022 Beijing Winter Olympics
Springer Science and Business Media LLC - Tập 37 - Trang 743-756 - 2024
Minquan Xiong
The probabilistic forecast of wind gusts poses a significant challenge during the post-processing of numerical model outputs. Comparative analysis of probabilistic forecasting methods plays a crucial role in enhancing forecast accuracy. Within the context of meteorological services for alpine skiing at the 2022 Beijing Winter Olympics, The ECM-WF ensemble products were used to evaluate six post-pr...... hiện toàn bộ
Mean structure of tropical cyclones making landfall in mainland China
Springer Science and Business Media LLC - Tập 28 - Trang 407-419 - 2014
Lina Bai, Hui Yu, Yinglong Xu, Yuan Wang
The mean kinematic and thermodynamic structures of tropical cyclones (TCs) making landfall in mainland China are examined by using sounding data from 1998 to 2009. It is found that TC landfall is usually accompanied with a decrease in low-level wind speed, an expansion of the radius of strong wind, weakening of the upper-level warm core, and drying of the mid-tropospheric air. On average, the warm...... hiện toàn bộ
Improved Assimilation of Fengyun-3 Satellite-Based Snow Cover Fraction in Northeastern China
Springer Science and Business Media LLC - - 2019
Shuai Zhang, Chunxiang Shi, Runping Shen, Jie Wu
Track of Super Typhoon Haiyan predicted by a typhoon model for the South China Sea
Springer Science and Business Media LLC - Tập 28 - Trang 510-523 - 2014
Zitong Chen, Chengzhong Zhang, Yanyan Huang, Yerong Feng, Shuixin Zhong, Guangfeng Dai, Daosheng Xu, Zhaoli Yang
Super Typhoon Haiyan was the most notable typhoon in 2013. In this study, results from the operational prediction of Haiyan by a tropical regional typhoon model for the South China Sea are analyzed. It is shown that the model has successfully reproduced Haiyan’s rapid passage through the Philippines and its northward deflection after its second landfall in Vietnam. However, the predicted intensity...... hiện toàn bộ
Long-Term Integration of a Global Non-Hydrostatic Atmospheric Model on an Aqua Planet
Springer Science and Business Media LLC - Tập 32 - Trang 517-533 - 2018
Xiaohan Li, Xindong Peng
A global non-hydrostatic atmospheric model, i.e., GRAPES_YY (Global/Regional Assimilation and Prediction System on the Yin–Yang grid), with a semi-implicit semi-Lagrangian (SISL) dynamical core developed on the Yin–Yang grid was coupled with the physical parameterization package of the operational version of GRAPES. A 3.5-yr integration was carried out on an aqua planet to assess the numerical per...... hiện toàn bộ
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