Article
Environmental Sciences
Yulong Yao, Wei Zhang, Ben Kirtman
Summary: Extreme precipitation events and heatwaves in eastern China have increased in the past four decades and are projected to rise in the future. The Yangtze River Basin and areas to its south are expected to experience an increase in compound disasters. The total population exposure to extreme precipitation shows a decreasing trend, but the annual total population exposure to heatwaves will increase significantly.
Article
Geosciences, Multidisciplinary
Linqiang He, Xin Hao, Hua Li, Tingting Han
Summary: This study used observations and K-means clustering to analyze the spatiotemporal characteristics of extreme precipitation events (EPEs) during summer over eastern China. It identified five subregions and examined the transfer rates and synoptic evolution of different types of EPEs. The study also revealed specific relationships and seasonal evolution patterns among these EPEs types.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Meteorology & Atmospheric Sciences
Ailiyaer Aihaiti, Zhihong Jiang, Yun Li, Li Tao, Lianhua Zhu, Jianwei Zhang
Summary: This study investigates the changes of summer extreme precipitation in China and determines the impacts of global mean temperature (GMT) and Interdecadal Pacific Oscillation (IPO). The results show that GMT significantly affects extreme precipitation in the middle and lower reaches of the Yangtze River Basin and its south, while IPO has a significant impact on North China and Southwest China.
Article
Geosciences, Multidisciplinary
Yaqin Ji, Xuguang Sun, Yiming Xu, Jingxin Yao, Xiu-Qun Yang
Summary: By studying persistent extreme precipitation, it is found that there are four different types of extreme precipitation in eastern China, which are influenced by the surrounding environment and closely related to obvious subseasonal oscillations.
FRONTIERS IN EARTH SCIENCE
(2021)
Article
Environmental Sciences
Zou Shan, Duan Wei-Li, Nikolaos Christidis, Daniel Nover, Abuduwaili Jilili, Philippe De Maeyer, Tim Van De Voorde
Summary: Extreme rainfall events in inland arid regions have been occurring more frequently in recent years and causing significant casualties and economic losses. The heavy rains in Hami prefecture of eastern Xinjiang, China in 2018 were mainly caused by an abnormal weather system transporting abundant water vapor from the Indian Ocean and East China Sea, leading to devastating floods. The study suggests a significant human influence on the risk of extreme rainfall events, highlighting the importance of better managing water-related disasters in arid regions.
ADVANCES IN CLIMATE CHANGE RESEARCH
(2021)
Article
Meteorology & Atmospheric Sciences
Wenyu He, Huopo Chen, Jiehua Ma
Summary: This study aimed to explore the changing characteristics and underlying mechanisms of extreme hot-humid events over eastern China in recent decades. Results showed an increasing trend in these events, with strong interannual variability. The key factors linked to these variations were identified as anomalies in sea surface temperatures over the northwest Pacific and western tropical Pacific, as well as Arctic sea ice concentration anomalies in May.
JOURNAL OF CLIMATE
(2023)
Article
Meteorology & Atmospheric Sciences
Huiwen Xu, Huopo Chen, Huijun Wang
Summary: This study investigates the spatial-temporal variations in summer extreme precipitation in Southwestern China, finding that the frequency of extreme precipitation is closely related to anomalous May Arctic sea ice concentration and sea surface temperature anomaly over the Northwest Pacific, which may influence the region through the Eurasian and Pacific-Japan teleconnection patterns.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2021)
Article
Geosciences, Multidisciplinary
Yong Tang, Anning Huang, Peili Wu, Danqing Huang, Daokai Xue, Yang Wu
Summary: The study systematically identified and quantitatively analyzed synoptic patterns associated with extreme summer precipitation events over East China during 1961-2018, revealing that the events are mainly driven by the East Asian summer monsoon, Meiyu front, landfalling tropical cyclones, and low-pressure vortices. Most sub-regions have experienced increasing trends of extreme rainfall events in the past six decades, with comparable contributions from the two main drivers, while the North China Plain has seen a decreasing trend caused by low-level southeasterly winds.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Meteorology & Atmospheric Sciences
Nicolas Freychet, Simon F. B. Tett, Fangxing Tian, Sihan Li, Buwen Dong, Sarah Sparrow
Summary: This study evaluates the ability of CMIP6 models to reproduce the main modes of interannual variability of 5-day summer extreme precipitation over eastern China, showing that multi-member or multi-model ensembles lead to results closer to observations. It is also demonstrated that the risk of extreme 5-day precipitation events increases significantly with global-mean warming levels of +1.5, +2, and +3 degrees C.
Article
Meteorology & Atmospheric Sciences
Guicai Ning, Ming Luo, Qiang Zhang, Shigong Wang, Zhen Liu, Yuanjian Yang, Sijia Wu, Zhaoliang Zeng
Summary: The study reveals that extreme precipitation events in arid Northwest China display a specific zonal wave pattern with the deepening of the western Siberian trough, central Asian high, and Mongolian high. Long-term observations show a significant increasing trend in both total summer precipitation and the frequency of extreme precipitation events, indicating a more humid climate and more frequent extreme precipitation events in the region.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2021)
Article
Meteorology & Atmospheric Sciences
Shanshan Wang, Jianping Huang, Xing Yuan
Summary: Anthropogenic influence has increased the risk of hot and dry extremes in Yunnan province in southwestern China in March to June 2019 by 123%-157% and 13%-23%, respectively.
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
(2021)
Article
Meteorology & Atmospheric Sciences
Yuan Yuan, Xin Lai, Yuanfa Gong, Jinlei Chen
Summary: The Community Land Model version 4.5 (CLM4.5) successfully simulated the spatial and temporal characteristics of soil moisture across the Tibetan Plateau, revealing the relationship between soil moisture in May and summer precipitation in eastern China. The study showed that the surface soil moisture in the south-central Tibetan Plateau was positively related to summer precipitation in South China and negatively related to that in the middle and lower reaches of the Yangtze River and Northeast China, with the opposite pattern observed in the western Tibetan Plateau.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2021)
Article
Meteorology & Atmospheric Sciences
Xuezhen Zhang, Jiazhe Chen, Shuaifeng Song
Summary: The study conducted three pairs of 21-year experiments using the WRF model to analyze the effects of land use/cover change (LUCC) on summer precipitation over eastern China. Results showed that LUCC induced variations in temperature, air pressure, water vapor supply, and eventually, precipitation levels in the region.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2021)
Article
Meteorology & Atmospheric Sciences
Yan Guo, Buwen Dong, Jiangshan Zhu
Summary: Extreme precipitation has different impacts on different regions of China. It has increased significantly in southeast and northwest China, while decreased in northeast and southwest China. Greenhouse gases and anthropogenic aerosols are the main drivers of these changes.
Article
Geosciences, Multidisciplinary
E. Dallan, M. Borga, M. Zaramella, F. Marra
Summary: Understanding past changes in precipitation extremes can help us predict their future dynamics. A novel approach for analyzing trends in extremes and attributing them to changes in the local precipitation regime is presented. The approach separates the intensity and occurrence of storms. By examining the Eastern Italian Alps, significant trends in extreme precipitation are reported. The model is able to reproduce the observed trends and quantify trends in extreme return levels. The observed changes are primarily caused by an increased proportion of summer convective storms.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Article
Water Resources
Salah Difi, Yamina Elmeddahi, Aziz Hebal, Vijay P. Singh, Salim Heddam, Sungwon Kim, Ozgur Kisi
Summary: In this paper, a new approach for monthly streamflow prediction based on the extreme learning machine (ELM) and metaheuristic bat algorithm (Bat-ELM) is proposed. The Bat-ELM outperformed other models in terms of prediction performance and can be used for predicting high and extreme streamflow.
HYDROLOGICAL SCIENCES JOURNAL
(2023)
Article
Engineering, Civil
Vijay P. Singh, B. Sherman
Summary: This study analyzes the storage-discharge (S-Q) relationship in hydrology using a kinematic wave approximation model for a plane watershed, considering the effects of rainfall, infiltration, and surface runoff. Depending on the duration of rainfall, two cases – equilibrium and partial equilibrium – are distinguished, and the hysteresis behavior of the S-Q relationship is carefully examined.
JOURNAL OF HYDROLOGIC ENGINEERING
(2023)
Article
Meteorology & Atmospheric Sciences
Miao Zhang, Yanzhao Zhou, Xin Li, Ziyong Sun, Guoqing Yang, Zhenghui Xie
Summary: In this study, two sets of 40-year continuous simulations were conducted to distinguish the effects of regional human activities and global climate change on the climate of arid Central Asia. The results showed that regional human activities contributed significantly to changes in precipitation, while global climate change had a larger impact on temperature and humidity. Irrigation had the greatest influence on local temperature/humidity and precipitation in the upstream mountainous area, while the increase in green vegetation was the key factor affecting the regional climate.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2023)
Article
Meteorology & Atmospheric Sciences
Jiufeng Li, Wenfeng Zhan, T. C. Chakraborty, Zihan Liu, Huilin Du, Weilin Liao, Ming Luo, Long Li, Shiqi Miao, Huyan Fu, Shasha Wang, Fan Huang, Manchun Li
Summary: By integrating various data sources, we ranked the monthly mean maximum and minimum urban temperatures of 13,135 cities worldwide from the perspective of thermal discomfort. Manama, Bahrain was identified as the hottest city (48.18℃, ±1.31℃) and Yakutsk, Russia as the coldest city (-42.96℃, ±0.72℃). Our study reveals an unequal pattern of global city temperature extremes, with smaller cities covering a majority of the extreme temperature zones. Urgent strategies need to be developed to reduce climate change risks in small and medium-sized cities with low development levels.
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
(2023)
Book Review
Engineering, Civil
Vijay P. Singh
JOURNAL OF HYDROLOGIC ENGINEERING
(2023)
Article
Engineering, Civil
Kai Ernn Gan, Chun Chao Kuo, Thian Yew Gan, Holger Schuettrumpf, Vijay Singh, Harri Koivusalo
Summary: This paper investigates the simulation of intensive storms in Alberta, Canada by coupling a regional climate model (WRF) with a land-surface scheme (Noah). By considering the land-atmosphere feedback, the predictability of the model is enhanced. The study shows that soil moisture, vegetation, and land-surface temperature influence heat fluxes and dynamical characteristics.
JOURNAL OF HYDROLOGIC ENGINEERING
(2023)
Article
Engineering, Civil
Lairanne Costa de Oliveira, Celso Augusto Guimaraes Santos, Camilo Allyson Simoes de Farias, Richarde Marques da Silva, Vijay P. Singh
Summary: This study uses hierarchical cluster analysis (HCA) and artificial neural networks (ANNs) to predict annual groundwater levels in the Ogallala Aquifer. The results show that the spatial distribution of groundwater levels in the aquifer follows a particular pattern, with higher levels in the west and gradually decreasing levels towards the east. The integration of HCA and ANN enables accurate predictions for sets of wells in the aquifer.
JOURNAL OF HYDROLOGIC ENGINEERING
(2023)
Article
Environmental Sciences
Xin Tong, Limin Duan, Tingxi Liu, Zhenlei Yang, Yixuan Wang, Vijay P. P. Singh
Summary: Field spectroradiometer and aboveground biomass data were collected in semiarid grasslands in Inner Mongolia, China, and four forms of commonly used vegetation indices were calculated. Linear regression analysis was used to select the best vegetation indices for estimating aboveground biomass. The combination of the best vegetation indices improved the accuracy of the estimation significantly. This approach is important for accurate and effective grassland aboveground biomass estimation.
GEOCARTO INTERNATIONAL
(2023)
Article
Environmental Sciences
Qingqing He, Tong Ye, Weihang Wang, Ming Luo, Yimeng Song, Ming Zhang
Summary: Monitoring long-term variations in PM2.5 is crucial for environmental management and epidemiological studies. We developed a new spatiotemporal PM2.5 hindcast modeling framework to generate high-resolution PM2.5 data for China from 2000 to 2020 with improved accuracy. Our method achieved superior overall cross-validation (CV) R2 and root-mean-square error (RMSE), and significantly improved the model performance in years without PM2.5 measurements.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Engineering, Civil
Xiaopei Ju, Dong Wang, Yuankun Wang, Vijay P. Singh, Along Zhang, Pengcheng Xu, Jichun Wu, Tao Ma, Jiufu Liu, Jianyun Zhang
Summary: This study develops a multimodel framework to quantify the response of ecohydrological regimes to climate change in the Jinsha River Basin. Results show that temperature and precipitation will increase, runoff may decrease, and human participation is required for the conservation of ecological resources.
JOURNAL OF HYDROLOGIC ENGINEERING
(2023)
Article
Engineering, Electrical & Electronic
Simin Zhang, Nanfeng Liu, Ming Luo, Tao Jiang, Ting On Chan, Cynthia Sin Ting Yau, Yeran Sun
Summary: This paper presents a method for improving the precision of Chl-a concentration in inland lakes by downscaling Sentinel-3 data using multivariate analysis and gradient boosting decision tree model. The results show that the proposed method effectively infers Chl-a concentration variability and achieves better accuracy compared to other methods.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
Article
Geosciences, Multidisciplinary
Hui Zhang, Ming Luo, Yongquan Zhao, Lijie Lin, Erjia Ge, Yuanjian Yang, Guicai Ning, Jing Cong, Zhaoliang Zeng, Ke Gui, Jing Li, Ting On Chan, Xiang Li, Sijia Wu, Peng Wang, Xiaoyu Wang
Summary: This study generated the first high spatial resolution (1 km) dataset of monthly human thermal indices over China during 2003-2020. The dataset includes 12 commonly used thermal indices, with desirable accuracies and high agreements with observations. The study also revealed increasing trends of thermal indices in most parts of China during the study period, especially in North China, Southwest China, the Tibetan Plateau, and parts of Northwest China in spring and summer.
EARTH SYSTEM SCIENCE DATA
(2023)
Article
Engineering, Civil
Xuechun Wang, Yongkang Li, Yaning Chen, Yupeng Li, Chuan Wang, Azamat Kaldybayev, Ruikun Gou, Ming Luo, Weili Duan
Summary: This study provides a scientific basis for understanding the mechanisms and predictions of heatwaves in arid regions, focusing on Central Asia. The results show that extreme heatwaves in this region have become more frequent, intense, and long-lasting since the 1980s, with an acceleration since 1997. The study also finds that heatwave occurrences are significantly correlated with hydro-meteorological factors, particularly in northwestern Central Asia where reduced precipitation and increased solar net radiation contribute to a rapid decrease in soil moisture, exacerbating extreme heatwaves.
JOURNAL OF HYDROLOGY
(2023)
Article
Meteorology & Atmospheric Sciences
Sijia Wu, Ming Luo, Xiaoyu Wang, Erjia Ge, Wei Zhang, Xihui Gu, Jianyu Liu
Summary: This study examines the characteristics of spring, summer, and autumn heatwaves in southern China. The results show that heatwaves in all three seasons are intensifying in frequency, duration, and intensity, and they exhibit distinct season-dependent circulation changes. Summer heatwaves are characterized by a warm-core high-pressure structure, while spring and autumn heatwaves exhibit a warm low pattern. Autumn heatwaves are largely influenced by local preceding soil moisture deficit.
WEATHER AND CLIMATE EXTREMES
(2023)
Article
Remote Sensing
Ziwei Huang, Ming Luo, Meng Gao, Guicai Ning, Erjia Ge, Ting On Chan, Sijia Wu, Hui Zhang, Yu Tang
Summary: Under global warming and rapid urbanization, heat extremes, ozone pollution, and their co-occurrences pose severe risks to human health. This study investigated the spatial distribution and mechanisms of independent heat days (IHD), independent ozone pollution (IOP) and compound heat-ozone pollution (CHOP) events in the Guangdong-Hong Kong-Macao Greater Bay Area of China. The results showed that the central GBA faces higher compound risk than other regions.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2023)
