Qinglan Li
University of Hong Kong
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Qinglan Li.
Archive | 2009
Qinglan Li; Ji Chen
The main features of climate change, as well as the urbanization effects on climate change in South China (SC) are described. In SC daily maximum and minimum temperatures have increased significantly in the period from 1960 to 2005. However, the rate of increase for the period of 1984 to 2005 in SC was nearly double that of the global increase for the same period. Furthermore, from 1960 to 2005, precipitation exhibited a rising trend, but relative humidity was decreasing. Urbanization of the Pearl River Delta since 1984 significantly affected the daily minimum temperature, precipitation and relative humidity.
热带气象学报(英文版) | 2016
Qinglan Li; Hongping Lan; Johnny C.L. Chan; Chunyan Cao; Cheng Li; Xingbao Wang
A non-parametric method is used in this study to analyze and predict short-term rainfall due to tropical cyclones(TCs) in a coastal meteorological station. All 427 TCs during 1953-2011 which made landfall along the Southeast China coast with a distance less than 700 km to a certain meteorological station- Shenzhen are analyzed and grouped according to their landfalling direction, distance and intensity. The corresponding daily rainfall records at Shenzhen Meteorological Station(SMS) during TCs landfalling period(a couple of days before and after TC landfall) are collected. The maximum daily rainfall(R-24) and maximum 3-day accumulative rainfall(R-72) records at SMS for each TC category are analyzed by a non-parametric statistical method, percentile estimation. The results are plotted by statistical boxplots, expressing in probability of precipitation. The performance of the statistical boxplots is evaluated to forecast the short-term rainfall at SMS during the TC seasons in 2012 and 2013. Results show that the boxplot scheme can be used as a valuable reference to predict the short-term rainfall at SMS due to TCs landfalling along the Southeast China coast.
Weather and Forecasting | 2018
Qinglan Li; Zenglu Li; Yulong Peng; Xiaoxue Wang; Lei Li; Hongping Lan; Shengzhong Feng; Liqun Sun; Guangxin Li; Xiaolin Wei
AbstractThis study proposes a statistical regression scheme to forecast tropical cyclone (TC) intensity at 12, 24, 36, 48, 60, and 72 h in the northwestern Pacific region. This study utilizes best ...
Weather and Forecasting | 2016
Qinglan Li; Pengcheng Xu; Xingbao Wang; Hongping Lan; Chunyan Cao; Guangxin Li; Lijie Zhang; Liqun Sun
AbstractThis study provides a quantitative forecast method for predicting the potential maximum wind gust at certain automatic weather stations (AWSs) in South China through the investigation of the relationship between the wind gusts observed at the stations and tropical cyclones’ (TCs) main characteristics: TC intensity, TC distance to the station, TC azimuth relative to the station, and TC size. Historical TC data from 1968 to June 2014 within a distance of 700 km to several AWSs in South China are analyzed. The wind gust data available for the same period taken from six coastal AWSs: Yantian International Container Terminal (YICT), Mawan Port (MWP), and Shekou Ferry Terminal (SFT) in Shenzhen, and Hong Kong Observatory (HKO), Cheung Chau Island (CCH), and Waglan Island (WGL) in Hong Kong, are used to build the statistical relationship. The probability of gust gale occurrence (wind gust ≥ 17 m s−1) at these six stations is also computed. Results show that the wind induced by offshore TCs is strongly af...
Stochastic Environmental Research and Risk Assessment | 2011
Ji Chen; Qinglan Li; Jun Niu; Liqun Sun
Stochastic Environmental Research and Risk Assessment | 2014
Qinglan Li; Ji Chen
Applied Mathematical Modelling | 2012
Qinglan Li; Pengcheng Xu
Archive | 2011
Qinglan Li; 李晴岚
Archive | 2011
Qinglan Li; Ji Chen
Archive | 2010
Qinglan Li; Ji Chen