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The East Asian summer monsoon circulation anomaly index and its interannual variations

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Chinese Science Bulletin 1999年第14期44卷 1325-1329页

作者： Gang Huang zhongwei yan Chinese Acad Sci Inst Atmospher Phys Beijing 100029 Peoples R China

Based on the concept of East Asia-Pacific (EAP) teleconnection which influences East Asian summer monsoon, an index for East Asian summer monsoon circulation anomaly was defined and it was pointed out that this index can describle the interannual variation character of summer climate in East Asia, especially in the yangtze River and Huaihe River Valley.

关键词： East Asian monsoon monsoon circulation anomaly index East Asia-Pacific (EAP) teleconnection pattern in-terannual variation.

Datasets of meteorological drought events and risks for the developing countries in Eurasia

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Big Earth Data 2020年第2期4卷 191-223页

作者： Linhao Zhong Lijuan Hua zhongwei yan CAS Key Laboratory of Regional Climate-Environment for Temperate East Asia Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina Key Laboratory of Computational Geodynamics University of Chinese Academy of SciencesBeijingChina

For the area of Eurasia concentrated with developing countries(referred to here by the abbreviation DPEA),mainly located in Asia and Eastern Europe,this work presents datasets of gridded meteorological drought events and country-based drought risk by combining multiple drought indices and socio-economic data.A basic gridded dataset of the drought events during 1950-2015 is extracted from three drought indices:the self-calibrating Palmer Drought Severity Index,the Standardized Precipitation Index,and the Standardized Precipitation Evapotranspiration *** three drought indices generally show consistent characteristics of drought events in DPEA.A second-level dataset(a drought risk dataset)is then produced as the product of drought hazard,exposure and vulnerability during *** drought exposure,the indicators of population and livestock density,agricultural land and water stress are chosen,while drought vulnerability composites multiple social,economic and infrastructural *** hazard tends to concentrate at the southern rim of *** large differences in drought exposure exist between different countries,but for drought vulnerability the differences are *** considering the socio-economic components in risk assessment,most countries in West,South-Central and South Asia have the highest drought risk in *** datasets of drought events and risks are available at http://***/10.11922/sciencedb.898.

关键词： Drought events drought risks the developing countries in Eurasia drought exposure drought vulnerability

High-resolution Projection Dataset of Agroclimatic Indicators over Central Asia

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维普期刊数据库

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Advances in Atmospheric Sciences 2022年第10期39卷 1734-1745页

作者： Yuan QIU Jinming FENG zhongwei yan Jun WANG Key Laboratory of Regional Climate-Environment for Temperate East Asia(RCE-TEA) Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China

To understand the potential impacts of projected climate change on the vulnerable agriculture in Central Asia(CA),six agroclimatic indicators are calculated based on the 9-km-resolution dynamical downscaled results of three different global climate models from Phase 5 of the Coupled Model Intercomparison Project(CMIP5),and their changes in the near-term future(2031-50)are assessed relative to the reference period(1986-2005).The quantile mapping(QM)method is applied to correct the model data before calculating the *** show the QM method largely reduces the biases in all the *** season length(GSL,day),summer days(SU,day),warm spell duration index(WSDI,day),and tropical nights(TR,day)are projected to significantly increase over CA,and frost days(FD,day)are projected to ***,changes in biologically effective degree days(BEDD,°C)are spatially *** high-resolution projection dataset of agroclimatic indicators over CA can serve as a scientific basis for assessing the future risks to local agriculture from climate change and will be beneficial in planning adaption and mitigation actions for food security in this region.

关键词： agroclimatic indicators Central Asia near-term future agriculture quantile mapping

Changes of climate extremes of temperature and precipitation in summer in eastern China associated with changes in atmospheric circulation in East Asia during 1960-2008

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Chinese Science Bulletin 2012年第15期57卷 1856-1861页

作者： LI Juan DONG WenJie yan zhongwei Key Laboratory of Regional Climate-Environment for East Asia Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029 China State Key Laboratory of Earth Surface Processes and Resource Ecology College of Global Change and Earth System ScienceBeijing Normal UniversityBeijing 100875China Graduate University of Chinese Academy of Sciences Beijing 100049China

Climate extremes and changes in eastern China are closely related to variations of the East Asian summer monsoon and corresponding atmospheric *** relationship between frequencies of temperature and precipitation extremes in China during the last half century is investigated using Singular Value Decomposition *** 1980-1996,there was a typical pattern with fewer hot days and more precipitation extremes in the northern part of eastern China,and more hot days and fewer precipitation extremes in the southern *** geographic pattern tended to reverse after 1997,with fewer hot days and more extreme precipitation days south of the yangtze River and vice versa to the *** in atmospheric circulation between the former and latter periods are *** conclude that a mid-level anomalous high/low,upper-level anomalous easterlies/westerlies over the north/south of eastern China,a weakened East Asian summer monsoon and associated upper-tropospheric center of cooling(30°N,110°E) are all favorable for the changes in frequencies of temperature and precipitation extremes.

关键词：中国东部地区东亚大气环流极端气候事件夏季降水极端温度奇异值分解分析东亚夏季风降水事件

Impact of Anthropogenic Aerosols on Summer Precipitation in the Beijing–Tianjin–Hebei Urban Agglomeration in China:Regional Climate Modeling Using WRF-Chem

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Advances in Atmospheric Sciences 2016年第6期33卷 753-766页

作者： Jun WANG Jinming FENG Qizhong WU zhongwei yan Key Laboratory of Regional Climate-Environment for Temperate East Asia Institute of Atmospheric PhysicsChinese Academy of Sciences College of Global Change and Earth System Science Beijing Normal University

The WRF model with chemistry （WRF-Chem） was employed to simulate the impacts of anthropogenic aerosols on summer precipitation over the Beijing-Tianjin-Hebei urban agglomeration in China. With the aid of a high-resolution gridded inventory of anthropogenic emissions of trace gases and aerosols, we conducted relatively long-term regional simulations, considering direct, semi-direct and indirect effects of the aerosols. Comparing the results of sensitivity experiments with and without emissions, it was found that anthropogenic aerosols tended to enhance summer precipitation over the metropolitan areas. Domain-averaged rainfall was increased throughout the day, except for the time around noon. Aerosols shifted the precipitation probability distribution from light or moderate to extreme rain. Further analysis showed that the anthropogenic aerosol radiative forcing had a cooling effect at the land surface, but a warming effect in the atmosphere. However, enhanced convective strength and updrafts accompanied by water vapor increases and cyclone-like wind shear anomalies were found in the urban areas. These responses may originate from cloud microphysical effects of aerosols on convection, which were identified as the primary cause for the summer rainfall enhancement.

关键词： anthropogenic aerosols summer precipitation urban agglomeration regional climate

Changing Spring Phenology Dates in the Three-Rivers Headwater Region of the Tibetan Plateau during 1960–2013

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Advances in Atmospheric Sciences 2018年第1期35卷 116-126页

作者： Shuang YU Jiangjiang XIA zhongwei yan Kun yanG Key Laboratory.of Regional Climate-Environment for East Asia Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Key Laboratory of Tibetan Environment Changes and Land Surface Processes Institute of Tibetan Plateau ResearchChinese Academy of SciencesBeijing 100107China University of Chinese Academy of Sciences Beijing 100049China

The variation of the vegetation growing season in the Three-Rivers Headwater Region of the Tibetan Plateau has recently become a controversial topic. One issue is that the estimated local trend in the start of the vegetation growing season(SOS)based on remote sensing data is easily affected by outliers because this data series is short. In this study, we determine that the spring minimum temperature is the most influential factor for SOS. The significant negative linear relationship between the two variables in the region is evaluated using Moderate Resolution Imaging Spectroradiometer–Normalized Difference Vegetation Index data for 2000–13. We then reconstruct the SOS time series based on the temperature data for 1960–*** regional mean SOS shows an advancing trend of 1.42 d(10 yr)during 1960–2013, with the SOS occurring on the 160th and 151st days in 1960 and 2013, respectively. The advancing trend enhances to 6.04 d(10 yr)during the past 14 years. The spatiotemporal variations of the reconstructed SOS data are similar to those deduced from remote sensing data during the past 14 years. The latter exhibit an even larger regional mean trend of SOS [7.98 d(10 yr)] during 2000–13. The Arctic Oscillation is found to have significantly influenced the changing SOS, especially for the eastern part of the region,during 2000–13.

关键词： start of growing season normalized difference vegetation index spring minimum temperature Three-Rivers Headwater Region Arctic Oscillation

Changes of Precipitation and Extremes and the Possible Effect of Urbanization in the Beijing Metropolitan Region during 1960–2012 Based on Homogenized Observations

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Advances in Atmospheric Sciences 2015年第9期32卷 1173-1185页

作者： LI Zhen yan zhongwei TU Kai WU Hongyi Key Laboratory of Regional Climate-Environment in Temperate East Asia Institute of Atmospheric Physics Beijing Meteorological Bureau

Daily precipitation series at 15 stations in the Beijing metropolitan region（BMR） during 1960–2012 were homogenized using the multiple analysis of series for homogenization method,with additional adjustments based on analysis of empirical cumulative density function（ECDF） regarding climate *** cumulative density functions of daily precipitation series,the trends of annual and seasonal precipitation,and summer extreme events during 1960–2012 in the original and final adjusted series at Beijing station were comparatively analyzed to show the necessity and efficiency of the new *** indicate that the ECDF adjustments can improve the homogeneity of high-order moments of daily series and the estimation of climate trends in *** linear trends of the regional-mean annual and seasonal（spring,summer,autumn,and winter）precipitation series are-10.16,4.97,-20.04,5.02,and-0.11 mm（10 yr）-1,*** trends over the BMR increase consistently for spring/autumn and decrease for the whole year/summer; however,the trends for winter decrease in southern parts and increase in northern *** affects local trends of precipitation amount,frequency,and intensity and their geographical *** the urban-influenced sites,urbanization tends to slow down the magnitude of decrease in the precipitation and extreme amount series by approximately-10.4% and-6.0%,respectively; enhance the magnitude of decrease in precipitation frequency series by approximately 5.7%; reduce that of extremes by approximately-8.9%; and promote the decreasing trends in the summer intensity series of both precipitation and extremes by approximately 6.8% and51.5%,respectively.

关键词： homogenization urbanization precipitation extremes MASH ECDF

Near-Term Projections of Global and Regional Land Mean Temperature Changes Considering Both the Secular Trend and Multidecadal Variability

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Journal of Meteorological Research 2018年第3期32卷 337-350页

作者： Yajie QI zhongwei yan Cheng QIAN Ying SUN CAS Key Laboratory of Regional Climate-Environment for Temperate East Asia Institute of Atmospheric PhysicsChinese Academy of Sciences(CAS)Beijing 100029 Institute of Urban Meteorology China Meteorological AdministrationBeijing 100089 University of Chinese Academy of Sciences Beijing 100049 Laboratory for Climate Studies National Climate CenterChina Meteorological AdministrationBeijing 100081 Joint Center for Global Change Studies Beijing Normal UniversityBeijing 100875

Near-term climate projections are needed by policymakers; however, these projections are difficult because internally generated climate variations need to be considered. In this study, temperature change scenarios in the near-term period 2017-35 are projected at global and regional scales based on a refined multi-model ensemble approach that considers both the secular trend(ST) and multidecadal variability(MDV) in the Coupled Model Intercomparison Project Phase 5(CMIP5) simulations. The ST and MDV components are adaptively extracted from each model simulation by using the ensemble empirical mode decomposition(EEMD) filter, reconstructed via the Bayesian model averaging(BMA) method for the historical period 1901-2005, and validated for 2006-16. In the simulations of the "medium" representative concentration pathways scenario during 2017-35, the MDV-modulated temperature change projected via the refined approach displays an increase of 0.44℃(90% uncertainty range from 0.30 to 0.58℃) for global land, 0.48℃(90% uncertainty range from 0.29 to 0.67℃) for the Northern Hemispheric land(NL), and 0.29℃(90% uncertainty range from 0.23 to 0.35℃) for the Southern Hemispheric land(SL). These increases are smaller than those projected by the conventional arithmetic mean approach. The MDV enhances the ST in 13 of 21 regions across the world. The largest MDV-modulated warming effect(46%) exists in central America. In contrast,the MDV counteracts the ST in NL, SL, and eight other regions, with the largest cooling effect(220%) in Alaska.

关键词： near-term projection multidecadal variability multi-model ensemble method ensemble empirical mode decomposition(EEMD) Bayesian model averaging(BMA)

Homogenized Daily Relative Humidity Series in China during 1960?2017

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Advances in Atmospheric Sciences 2020年第4期37卷 318-327页

作者： Zhen LI zhongwei yan yani ZHU Nicolas FREYCHET Simon TETT Key Laboratory of Regional Climate-Environment in Temperate East Asia Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China University of Chinese Academy of Sciences Beijing 100049China National Meteorological Information Center China Meteorological AdministrationBeijing 100081China University of Edinburgh Edinburgh EH89YLUnited Kingdom

Surface relative humidity(RH)is a key element for weather and climate monitoring and ***,RH is not as commonly applied in studying climate change,partly because the observation series of RH are prone to inhomogeneous biases due to non-climate changes in the observation system.A homogenized dataset of daily RH series from 746 stations in Chinese mainland for the period 1960–2017,ChinaRHv1.0,has been ***(685 or 91.82%of the total)station time series were inhomogeneous with one or more break *** major breakpoints occurred in the early 2000s for many stations,especially in the humid and semi-humid zones,due to the implementation of automated observation across the *** inhomogeneous biases in the early manual records before this change are positive relative to the recent automatic records,for most of the biased station *** are more break points detected by using the MASH(Multiple Analysis of Series for Homogenization)method,with biases mainly around?0.5%and 0.5%.These inhomogeneous biases are adjusted with reference to the most recent observations for each *** on the adjusted observations,the regional mean RH series of China shows little long-term trend during 1960–2017[0.006%(10 yr)^?1],contrasting with a false decreasing trend[?0.414%(10 yr)?1]in the raw *** is notable that ERA5 reanalysis data match closely with the interannual variations of the raw RH series in China,including the jump in the early 2000s,raising a caveat for its application in studying climate change in the region.

关键词： relative humidity homogenization observation system changes MASH(Multiple Analysis of Series for Homogenization)