Article
Ecology
Peng Zhao, Zhibin He, Dengke Ma, Wen Wang
Summary: An increase in extreme temperature events may have a significant impact on terrestrial ecosystems. Reanalysis temperature data is crucial for estimating extreme temperatures in mountainous areas with limited meteorological stations. This study evaluated the ability of ERA5-Land reanalysis data to capture extreme temperature indices in the Qilian Mountains using observational data from 17 meteorological stations. The results show that ERA5-Land performs well in capturing extreme temperatures, with the best accuracy in summer and the poorest in spring and winter.
FRONTIERS IN ECOLOGY AND EVOLUTION
(2023)
Article
Meteorology & Atmospheric Sciences
Yang Yang, Qingxiang Li, Zhaoyang Song, Wenbin Sun, Wenjie Dong
Summary: This study compares the performance of five commonly used reanalysis datasets based on the newly released version of China global Merged Surface Temperature dataset. The results indicate that ERA5 and 20CRv3 perform well in representing global temperature changes.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2022)
Article
Meteorology & Atmospheric Sciences
Hassan Aboelkhair, Mostafa Morsy
Summary: The primary purpose of this study is to interpret the variability of extreme warm and cold events in Egypt from 1981 to 2020 using three gridded datasets. The study found that the maximum temperature gradually increased over the study period, while the minimum temperature increased southward. The variability of extreme temperature was significant during different decades.
THEORETICAL AND APPLIED CLIMATOLOGY
(2023)
Article
Environmental Sciences
Wanling Xu, Xiangyong Lei, Shiting Chen, Tingting Yu, Zengyun Hu, Meng Zhang, Lizhi Jiang, Ruijuan Bao, Xiaojun Guan, Miaomiao Ma, Jianhui Wei, Lu Gao, Aixia Feng
Summary: The study validates the ERA5 reanalysis data in capturing extreme temperature events in China using a new DISO criterion. ERA5 performs well in reproducing original daily temperatures and capturing extreme temperature intensity and frequency. It performs best in summer and worst in winter. However, ERA5 fails to capture the trend of diurnal temperature range (DTR) and struggles to accurately recreate extreme temperature events in the Tibetan Plateau. The elevation difference contributes to the main bias of reanalysis temperatures.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2022)
Article
Engineering, Environmental
Alexandre Tuel, Nabil El Mocayd
Summary: Morocco, a large country with complex terrain and sparse population, is highly vulnerable to floods caused by extreme precipitation due to its semi-arid climate with highly variable distribution. However, this issue has been largely ignored due to limited data availability. This study aims to address this issue by analyzing a comprehensive set of 120 daily precipitation series and assessing the accuracy of nine gridded satellite-based and reanalysis daily precipitation datasets. The results provide a first step towards understanding extreme precipitation in Morocco and can guide future hydrometeorological research in selecting gridded datasets.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2023)
Article
Meteorology & Atmospheric Sciences
Yingying Chen, Shankar Sharma, Xu Zhou, Kun Yang, Xin Li, Xiaolei Niu, Xin Hu, Nitesh Khadka
Summary: This study evaluates different resolution precipitation datasets over the southern slope of central Himalaya in Nepal, finding that high-resolution datasets better present observed spatial patterns but generally overestimate precipitation, and can better reproduce seasonal precipitation variations. Coarse resolution datasets perform poorly in mountainous regions.
ATMOSPHERIC RESEARCH
(2021)
Article
Environmental Sciences
Marco Luppichini, Monica Bini, Roberto Giannecchini, Giovanni Zanchetta
Summary: In recent years, the relationship between temperature and rainfall in the Mediterranean area has been analyzed to understand the impact of global warming. Different trends have been observed depending on the type of data and methodology used. A study in Italy analyzed a large database to investigate this relationship and found that it varies depending on seasons, rainfall accumulation periods, intensity, and geographical factors. The study also suggests that future climate change may lead to a decrease in water availability and an increase in extreme precipitation events during the dry season in northern and central Italy.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Geosciences, Multidisciplinary
H. Wang, Y. Xuan
Summary: This study examines the spatial variation of area-orientated annual maximum daily rainfall in Great Britain and Australia over the last century, finding that geographic locations and area sizes play a significant role in influencing GEV location-scale parameters. Additionally, round-shaped regions tend to have higher parameter values compared to elongated ones.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Meteorology & Atmospheric Sciences
Suman Bhattacharyya, S. Sreekesh, Andrew King
Summary: This study compares twelve gridded rainfall datasets to understand the spatial and temporal variations of extreme rainfall events in India. The study finds that these datasets have large uncertainties and often underestimate high-intensity extreme events.
ATMOSPHERIC RESEARCH
(2022)
Article
Multidisciplinary Sciences
Yi Zhang, William R. Boosa
Summary: Heatwaves have a damaging impact on societies worldwide and are becoming more severe due to global warming. This study suggests that convective instability acts as a limiting factor for the maximum surface air temperature over midlatitude land. The known drivers of heatwaves can shift the atmospheric state, changing its proximity to the upper bound. In Northern Hemisphere midlatitude land, the upper bound for maximum surface air temperature is projected to increase at a faster rate than global mean surface air temperature, and it will increase even faster in regions that experience dry conditions on the hottest days.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2023)
Article
Environmental Sciences
Yuzhuo Peng, Anmin Duan, Chao Zhang, Bin Tang, Xuejie Zhao
Summary: The surface air temperature (SAT) over the Tibetan Plateau (TP) has a significant impact on physical processes, downstream regions, and global climate change. Reanalysis data has improved the coverage over the TP but still has deficiencies. The distance between indices of simulation and observation (DISO) method is used to evaluate the abilities of different reanalysis datasets to capture SAT over the TP. Results show ERA-Interim performs better in spring and summer, while ERA5 performs better in autumn and winter. The spatial deviation fields of SAT corresponding to the optimal reanalysis data are analyzed for different seasons, revealing the influence of snow and water vapor.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2023)
Article
Environmental Sciences
Xiaolong Huang, Shuai Han, Chunxiang Shi
Summary: This study evaluates the applicability and accuracy of three surface air temperature reanalysis datasets in the alpine region of the Qinghai-Tibet Plateau, and finds that the China Meteorological Administration Land Data Assimilation System (CLDAS) is significantly more accurate than the European Centre for Medium-Range Weather Forecasts (ERA5L) and the U.S. Global Land Data Assimilation System (GLDAS).
Article
Multidisciplinary Sciences
S. S. Bell, A. J. Dowdy, H. A. Ramsay, S. S. Chand, C-H Su, H. Ye
Summary: The study compares the estimates of extreme winds, specifically from tropical cyclones, using different datasets and analyzes the trends in TC wind strength affecting coastal Australia. The findings suggest that using climate model products can provide useful information on wind load standards, although there may be some limitations and uncertainties in the analysis. The study also highlights the potential regional changes in TC frequency and track direction, indicating the need for further research and longer-term evaluation using climate models.
SCIENTIFIC REPORTS
(2022)
Article
Meteorology & Atmospheric Sciences
Qing Yang, Liang Chen, Yawen Duan, Dongnan Jian, Zhuguo Ma
Summary: The study suggests that with the increasing global warming, dryland areas in China may expand, indicating that the global goal of limiting warming to 1.5 degrees Celsius is more robust in combating emerging aridification compared to 2 degrees Celsius. China may benefit economically and socially from this reduction in aridification by limiting warming to 1.5 degrees Celsius.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2021)
Article
Geosciences, Multidisciplinary
Peng Zhao, Zhibin He
Summary: The ERA5-Land reanalysis temperature product can effectively reproduce the temperature variation observed in the Qilian Mountains. However, caution should be exercised when using it for individual sites due to bias caused by elevation differences. The product captures the overall warming trend observed in the region.
FRONTIERS IN EARTH SCIENCE
(2022)
Article
Meteorology & Atmospheric Sciences
Meng Zuo, Tianjun Zhou, Wenmin Man
Summary: The study suggests that tropical volcanic eruptions have a significant impact on summer precipitation in the southern Tibetan Plateau region. Model results show that changes in atmospheric circulation and specific humidity are the main factors contributing to the decrease in precipitation. Volcanic eruptions cause a decrease in surface temperature, resulting in a reduction in atmospheric precipitable water.
Article
Meteorology & Atmospheric Sciences
Yawen Duan, Qing Yang, Zhuguo Ma, Peili Wu, Xiaolong Chen, Jianping Duan
Summary: The spatial distribution of summer rainfall anomalies over eastern China often shows a tripole pattern with rainfall anomalies over the Yangtze River basin varies in opposite phase with North China and South China. It is not clear whether this tripole pattern is an intrinsic atmospheric mode or it is remotely forced. Using two sets of model outputs from 20 models participating in phase 5 of the Coupled Model Intercomparison Project (CMIP5), this paper investigates the driving mechanisms of this leading rainfall mode and its major influencing factors.
JOURNAL OF CLIMATE
(2023)
Article
Meteorology & Atmospheric Sciences
Shuai Hu, Tianjun Zhou, Bo Wu, Xiaolong Chen
Summary: The heavy rainfall in Zhengzhou in July 2021 was influenced by the northward shift of the western Pacific subtropical high. Although seasonal predictions couldn't capture this extreme event, skillful prediction of the high pressure system variation might have warned of increased probability of extreme weather in Central and Northern China. However, the mechanism and predictability of the high pressure system variation in July 2021 are still unknown.
ADVANCES IN ATMOSPHERIC SCIENCES
(2023)
Editorial Material
Meteorology & Atmospheric Sciences
Xiaolong Chen, Tianjun Zhou
Summary: On September 26, 2022, two underwater pipelines (Nord Stream 1 and 2) in the Baltic Sea were unexpectedly sabotaged, resulting in a large release of methane into the atmosphere. A recent study provided a more accurate estimate of the leaked methane, which was lower than the initial assessment. The study also suggested that while the warming effect from this methane leak incident was minor, future carbon release and other Earth system feedbacks could impact methane mitigation efforts.
ADVANCES IN ATMOSPHERIC SCIENCES
(2023)
Article
Meteorology & Atmospheric Sciences
Chao He, Tianjun Zhou, Lixia Zhang, Xiaolong Chen, Wenxia Zhang
Summary: In the summer of 2022, unprecedented heat wave occurred along the Yangtze River Valley in East Asia, while unprecedented flood occurred over western South Asia. Analysis of observational data shows that anomalous zonal flow over the Tibetan Plateau explains a major fraction of these extreme events.
Article
Geosciences, Multidisciplinary
Jie Jiang, Tianjun Zhou
Summary: In 2021, Central Asia experienced a severe agricultural drought, resulting in mass die-offs of crops and livestock. It has been unclear how much human activity has contributed to the decline in soil moisture in this region. Through analysis of simulation results, this study finds that the aggravation of agricultural droughts in southern Central Asia since 1992 can be attributed to both human-induced forcing and internal variability associated with the Interdecadal Pacific Oscillation (IPO). The findings emphasize the importance of considering the interplay between anthropogenic forcing and natural variability in policymaking in this climate-sensitive region.
Article
Meteorology & Atmospheric Sciences
Wenxia Zhang, Yongjun Chen, Tianjun Zhou, Xiaolong Chen, Zikun Ren
Summary: The observed climate includes both external forcings and internal climate variability. Evaluating climate models with the influence of internal variability is desirable, especially with the availability of large ensembles. This study evaluates the FGOALS-g3 LE using multiple observational datasets and finds that internal variability has a significant impact on long-term changes of temperature and precipitation extremes.
Article
Geosciences, Multidisciplinary
Qibei Zhang, Bo Liu, Shuanglin Li, Tianjun Zhou
Summary: This paper evaluates the sea surface temperature (SST) biases of coupled models in CMIP5 and CMIP6. The overall performance of CMIP6 models is better than CMIP5 models in reproducing SST climatology, with a lower multi-model ensemble mean (MME) globally averaged absolute bias. Regionally, cooling biases are reduced in the Northwest Pacific and North Atlantic, while warming biases are increased in the Northeast Pacific, Southeast Atlantic, and Southern Ocean. These changes are mainly attributed to the combined effects of clear-sky surface downward longwave radiation and cloud radiative effect, partially reduced by enhanced cooling bias in clear-sky surface downward shortwave radiation.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Environmental Sciences
Xin Huang, Tianjun Zhou, Johnny C. L. Chan, Ruifen Zhan, Ziming Chen, Jiuwei Zhao
Summary: Reliable projections of tropical cyclone activities in the western North Pacific are crucial for climate policy-making in coastal Asia. This study identifies a new source of uncertainty in the projections arising from different tropical cyclone identification schemes. Model uncertainty is of secondary importance, while internal variability noticeably impacts near-term projections.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Article
Geosciences, Multidisciplinary
Ziming Chen, Tianjun Zhou, Xiaolong Chen, Wenxia Zhang, Meng Zuo, Wenmin Man, Yun Qian
Summary: Reliable regional temperature projections, including heat extremes, are essential for climate change adaptation and mitigation. Researchers have developed an emergent constraint framework to obtain constrained temperature warming over China. The results show that the constrained model is more reliable and reduces about half of the uncertainty compared to raw projections. The impact of extreme heat on China is lower than previously predicted.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Geosciences, Multidisciplinary
Ben Yang, Zhun Guo, Fengfei Song, Yaocun Zhang, Tianjun Zhou, Yun Qian
Summary: Cloud and convection have a strong influence on atmospheric energy budgets, with responses varying across timescales. Based on atmospheric model simulations, this study found that responses in radiative and sensible heat fluxes converge more rapidly compared to condensation heat associated with precipitation. Confining the fast processes of radiative and sensible heat fluxes can reduce uncertainty in long-term precipitation simulations. These findings provide insights for improving computational efficiency and bridging the gap between convective-scale and equilibrium-state outcomes in climate models.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Geosciences, Multidisciplinary
Jie Jiang, Tianjun Zhou
Summary: A decline in anthropogenic aerosol emissions is expected in the future, but the climate effects of aerosol removal and greenhouse gas emissions at the regional level are not well distinguished and constrained. Using state-of-the-art climate models, it was found that the observed warming from 1961 to 2020 in the Tibetan Plateau is mainly attributed to greenhouse gas emissions, but future temperature rise will be influenced by both greenhouse gas concentration increase and reduction in aerosol emissions.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Multidisciplinary Sciences
Daokai Xue, Jian Lu, L. Ruby Leung, Haiyan Teng, Fengfei Song, Tianjun Zhou, Yaocun Zhang
Summary: The study assesses the future changes in East Asian summer monsoon precipitation by projecting it onto the two leading dynamical modes of internal variability. The results show increasing trends and daily variability in both modes, indicating potential hydrological extremes in East Asian regions in the coming decades. This study provides evidence of the robust Asian monsoon rainfall response to anthropogenic warming.
NATURE COMMUNICATIONS
(2023)
Article
Multidisciplinary Sciences
Ziqian Zhong, Bin He, Hans W. Chen, Deliang Chen, Tianjun Zhou, Wenjie Dong, Cunde Xiao, Shang-ping Xie, Xiangzhou Song, Lanlan Guo, Ruiqiang Ding, Lixia Zhang, Ling Huang, Wenping Yuan, Xingming Hao, Duoying Ji, Xiang Zhao
Summary: In recent decades, there has been an increase in the diurnal temperature range, with daily maximum temperatures warming at a faster rate while daily minimum temperatures remain stable. This may be due to reduced cloud cover leading to increased solar radiation.
NATURE COMMUNICATIONS
(2023)