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Tempospatial Pattern of Surface Wind Speed and the “Urban Stilling Island” in Beijing City

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Journal of Meteorological Research 2020年第5期34卷 986-996页

作者： Ping YANG guoyu ren Pengcheng YAN Jingmian DENG China Meteorological Administration Training Center Beijing 100081 Department of Atmospheric Science School of Environmental StudiesChina University of GeosciencesWuhan 430000 Institute of Urban Meteorology China Meteorological AdministrationBeijing 100089 Laboratory for Climate Studies National Climate CenterChina Meteorological AdministrationBeijing 100081 Institute of Arid Meteorology China Meteorological AdministrationLanzhou 730000

An hourly-resolution dataset from observations at the automatic weather stations(AWSs) is developed and applied to study the characteristics of weakening surface wind in the urban areas of Beijing City in 2008–2017. The "Urban Stilling Island(USI)" is defined and quantified to depict the surface wind speed(WS) differences between rural and urban regions. The urban(rural) sites are represented by 45(6) stations within(outside) the 6th Ring Road(RR). The results demonstrate remarkable smaller annual and seasonal average WS values in urban areas than in rural areas, indicating significant USI, especially in the central urban areas(within the 4th RR) in spring and winter. Further analysis reveals that the surface roughness effect dominates and enhances the USI intensity(USII) under the stronger large-scale background wind in spring and winter, whereas the Urban Heat Island(UHI) effect may dominate and decrease the USII under weaker large-scale wind in summer and autumn. The diurnal USII variations are characterized by a steady low-value phase from 1900 to 0800 Beijing Time(BT) and a high-value phase from 1100 to 1500 BT,with rapid shifts of USII in between. Long-term variation of hourly USII shows large mean USII in 2008–2012 but decreased USII in 2013–2017, possibly attributed to the change of urbanization level around the rural observation sites.

关键词： wind speed(WS) Urban Stilling Island(USI) surface roughness Urban Heat Island(UHI) Beijing

Structure and Enhanced Antifungal Activity of a Divalent Cobalt（II） Complex with Hexaconazole

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Chemical Research in Chinese Universities 2017年第6期33卷 864-868页

作者： ZHOU Jinhua LI Jingjing LI Jie ren guoyu ren Yinghui MA Haixia School of Chemical Engineering Northwest University Xi'an 710069 P. R. China

A new CoII complex, [CoL4C12].2CH3CH2OH（L=hexaconazole）, was synthesized and characterized by means of elemental analysis, infrared spectroscopy and single-crystal X-ray diffraction. The crystal structural analysis shows that the centrosymmetric Co2＋ is coordinated by four hexaconazole ligands and two C1 to form a distorted octahedral geometry. The complex forms 1D chains through the intermolecular hydrogen bonds interaction of O-H-… O and O--H…… C1. Furthermore, the antifungal activities of the complex against Grape anthracnose（I）, Botryosphaeria berengriana（II）, Botryosphaeria ribis（III） and Wheat gibberellic（IV） have been investigated and compared with those of the corresponding ligand. The results show that the complex has better antifungal activity than the ligand, which indicates that the coordination of the ligand and the metal enhances the antimicrobialactivity. Keywords

关键词： CoII complex Hexaconazole Crystal structure Antiftmgal activity

Homogenization and trend analysis of 1960–2015 in situ sea surface temperature observations along the coast of China

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Acta Oceanologica Sinica 2021年第5期40卷 36-46页

作者： Yan Li Qingyuan Wang guoyu ren Guosong Wang Qingliang Zhou College of Life Sciences and Oceanography Shenzhen UniversityShenzhen 518061China Southern Marine Science and Engineering Guangdong Laboratory(Guangzhou) Guangzhou 511458China Tianjin Meteorological Observatory Tianjin 300074China School of Environmental Studies China University of GeosciencesWuhan 430074China National Climate Center Beijing 100081China National Marine Data and Information Service Tianjin 300171China National Meteorological Center Beijing 100081China

Sea surface temperature(SST)measurements from 26 coastal hydrological stations of China during 1960–2015 were homogenized and analyzed in this *** homogenous surface air temperature(SAT)series from meteorological stations which were highly correlated to SST series was used to construct the reference *** mean SST series were then derived and subjected to a statistical homogeneity test,called penalized maximal t *** monthly mean SST series were obtained by adjusting all significant change points which were supported by historic metadata *** show that the majority of break points are caused by instrument change and station relocation,which accounts for about 61.3%and 24.2%of the total break points,*** regionally averaged annual homogeneous SST series from the 26 stations shows a warming trend(0.19℃ per decade).This result is consistent with that based on the homogenized annual mean SAT at the same region(0.22℃ per decade),while the regionally averaged mean original SST series from the same stations shows a much weaker warming of 0.09℃ per decade for 1960–*** finding suggests that the effects of artificial change points on the result of trend analysis are remarkable,and the warming rate from original SST observations since 1960 may be *** a high quality homogenized observation is crucial for robust detection and assessment of regional climate ***,the trends of the seasonal mean homogenized SST were also *** work confirmed that there was an asymmetric seasonal temperature trends in the Chinese coastal water in the past decades,with the largest warming rate occurring in *** last,the significant warming in winter and its relationships to the variability of three large-scale atmospheric modes were investigated.

关键词： SST homogenization observation system changes penalized maximal t test

Variation of Extreme Precipitation over Large River Basins in China

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Advances in Climate Change Research 2011年第2期2卷 108-114页

作者： Yu Chen Xianyan Chen guoyu ren Laboratory for Climate Studies National Climate Center China Meteorological Administration Beijing 100081 China

A new available dataset of daily observational precipitation is used to study the temporal and spatial variability of extreme precipitation events for 1956-2008 in the ten large river basins of China. The maximum daily rainfall and heavy precipitation days （≥50 mm d^-1） are analyzed for the basins of the Songhua River, Liaohe River, Haihe River, Yellow River, Northwest China Rivers, Huaihe River, Yangtze River, Pearl River, Southeast China Rivers, and Southwest China Rivers. The results indicate that the maximum daily rainfall was increasing in southern river basins, while it was decreasing in northern river basins, which leads to no discernible increasing or decreasing trend in the maximum daily rainfall of whole China,especially 2001. The national averaged heavy precipitation days shows an insignificant increase. However, a rise in heavy precipitation days of southern river basins and a decline of northern river basins are observed.

关键词： China river basins extreme precipitation events climate change

Representativeness of Four Precipitation Observational Networks of China

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Acta meteorologica Sinica 2012年第4期26卷 454-466页

作者：任玉玉任国土 Laboratory for Climate Studies National Climate CenterCMA

Four precipitation observational networks with varied station densities are maintained in China. They are： the Global Climate Observation System （GCOS） Surface Network （GSN）, the national Reference Climate Network （RCN）, the national-Basic Meteorological Network （BMN）, and the national Ordinary Meteorolog- ical Network （OMN）. The GSN, RCN, BMN, and the merged network of RCN and BMN （R＆B） have been widely used in climatology and climate change studies. In this paper, the impact of the usage of different networks on the precipitation climatology of China is evaluated by using the merged dataset of All Station Network （ASN） as a benchmark. The results show that all networks can capture the main features of the country average precipitation and its changing trends. The differences of average annual precipitation of the various networks from that of the ASN are less than 50 mm （≤ 10%）. All networks can successfully detect the rising trend of the average annual precipitation during 1961-2009, with the R＆B exhibiting the best representativeness （only 2.90% relative difference） and the GSN the poorest （39.77%）. As to the change trends of country average monthly precipitation, the networks can be ranked in descending order as R＆B （1.27%）, RCN （2.35%）, BMN （4.17%）, and GSN （7.46%）, and larger relative differences appear from August to November. The networks produce quite consistent spatial patterns of annual precipitation change trends, and all show an increasing trend of precipitation in Northwest and Southeast China, and a decreasing trend in North China, Northeast China, and parts of central China. However, the representativeness of the BMN and R＆B are better in annual and seasonal precipitation trends, in spite of the fact that they are still far from satisfactory. The relative differences of trends in some months and regions even reach more than 50%. The results also show that the representativeness of the RCN for country average precipitation is higher than that of the

关键词： climate stations observational network monitoring precipitation climatology precipitation change

GLOBAL CLIMATE CHANGES AND THE TOURISM OF CHINA

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Journal of Geographical Sciences 1996年第2期6卷 97-102页

作者： ren guoyu(National Climate Center, Beijing 100081People’s Republic of China) National Climate Center Beijing 100081 China

The future global climate changes induced by the increased atmospheric CO2 concentration is receiving much attention from the scientific community as well as the public. Model simulations and palaeoclimatic data studies show an evident change in temperature and precipitation over China will occur under conditions of the global warming. Possible scenarios of the future climates are given here for China on the basis of synthesizing model simulations and palaeoclimatic data. Most parts of China will experience an increase in temperature, but the warming may be more remarkable in winter in h1e northern half of the country. Increase in precipitation will be seen in nearly every parts of the eastern China, and it will be larger in North and Northeast China. Impacts of the climate changes on the national tourism are assessed. Regions suitable for tourisin development in terms of climate comfortable index will shift northward. Some scenic spots and toruism facilities will be damaged due to sea level rise and increased rainfall. Some regions will benefit from the dimate change, but the tourism industry as a whole will be negatively affected.

关键词： IPCC GLOBAL CLIMATE CHANGES AND THE TOURISM OF CHINA

Application of geographically weighted regression model in the estimation of surface air temperature lapse rate

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Journal of Geographical Sciences 2021年第3期31卷 389-402页

作者： QIN Yun ren guoyu HUANG Yunxin ZHANG Panfeng WEN Kangmin Department of Atmospheric Science School of Environmental StudiesChina University of GeosciencesWuhan 430074China Laboratory for Climate Studies National Climate CenterChina Meteorological AdministrationBeijing 100081China School of Resource and Environmental Science Hubei UniversityWuhan 430062China

The surface air temperature lapse rate(SATLR)plays a key role in the hydrological,glacial and ecological modeling,the regional downscaling,and the reconstruction of high-resolution surface air ***,how to accurately estimate the SATLR in the regions with complex terrain and climatic condition has been a great challenge for *** geographically weighted regression(GWR)model was applied in this paper to estimate the SATLR in China’s mainland,and then the assessment and validation for the GWR model were *** spatial pattern of regression residuals which was identified by Moran’s Index indicated that the GWR model was broadly reasonable for the estimation of *** small mean absolute error(MAE)in all months indicated that the GWR model had a strong predictive ability for the surface air *** comparison with previous studies for the seasonal mean SATLR further evidenced the accuracy of the ***,the GWR method has potential application for estimating the SATLR in a large region with complex terrain and climatic condition.

关键词： temperature lapse rate geographically weighted regression surface air temperature estimation regression residual

An Overview of China's Mainland Temperature Change Research

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Journal of Meteorological Research 2017年第1期31卷 3-16页

作者： guoyu ren Yihui DING Guoli TANG Laboratory for Climate Studies National Climate Center China Meteorological Administration Department of Atmospheric Science School of Environmental Studies China University of Geosciences National Meteorological Information Center China Meteorological Administration

There has been significant effort devoted to investigating long-term trends in land surface air temperature over China's Mainland by Chinese scientists over the past 50 years, and much progress has been made in understanding dy- namics of the changes. This review highlights research conducted by early Chinese climatologists, and particularly Professor Shaowu Wang from Peking University, with special focus on systematic work that has been conducted since the mid to late 1970s. We also discuss major issues that remain unresolved in past and current studies. The most recent analyses indicate that the country-average annual mean surface air temperature rose by 1.12℃ over the past 115 years （1901-2015）, with a rate of increase of about 0.10℃ decade1. Temperatures have risen more rapidly since the 1950s, with the rate of increase of more than 0.25℃ decade-1. However, the recent increase in temperatures is in large part due to contamination by systematically biased data. These data are influenced by unprecedented urbaniza- tion in China, with a contribution of urbanization to the overall increase of annual mean temperatures in China's Mainland of about one third over the past half a century. If the bias is corrected, the rate of increase for the country-ave- rage annual mean surface air temperature is 0.17℃ decade-1 over the last 50-60 years, which is approximately the same as global and Northern Hemispheric averages in recent decades. Future efforts should be focused towards the recovery and digitization of early-year observational records, the homogenization of observational data, the evalu- ation and adjustment of urbanization bias in temperature data series from urban stations, the analysis of extreme tem- peratures over longer periods including the first half of the 20th century, and the investigation of the observed sur- face air temperature change mechanisms in China's Mainland.

关键词： observational data surface air temperature China's Mainland modem time climate change urbanizationeffect climate warming

Extreme Temperature Change of the Last 110 Years in Changchun,Northeast China

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Advances in Atmospheric Sciences 2020年第4期37卷 347-358,I0002-I0006页

作者： Xiujing YU guoyu ren Panfeng ZHANG Jingbiao HU Ning LIU Jianping LI Chenchen ZHANG Jilin Climate Center Changchun 130062China Department of Atmospheric Science School of Environmental StudiesChina University of GeosciencesWuhan 430074China Laboratory for Climate Studies National Climate CenterChina Meteorological AdministrationBeijing 100081China Jilin Province Weather Modification Office Changchun 130062China Institute of Meteorological Sciences of Jilin Province Changchun 130062China

In China and East Asia,the long-term continuous observational data at daily resolution are insufficient,and thus there is a lack of good understanding of the extreme climate variation over the last 100 years *** this study,the extreme temperature indices defined by ETCCDI(Expert Team on Climate Change Detection and Indices)and local meteorological administrations were analyzed for Changchun City,Northeast China,by using the daily maximum temperature(Tmax)and daily minimum temperature(Tmin)over 1909?*** results showed that extreme cold events,such as cold days,cold nights,frost days,icing days,and low temperature days,decreased significantly at rates of?0.41 d(10 yr)^?1,?1.45 d(10 yr)^?1,?2.28 d(10 yr)^?1,?1.16 d(10 yr)?1 and?1.90 d(10 yr)^?1,*** nights increased significantly at a rate of 1.71 d(10 yr)^?1,but warm days decreased slightly and the number of high temperature days decreased at a rate of?0.20 d(10 yr)?*** frequency of cold surge events increased significantly at a rate of 0.25 d(10 yr)^?1,occurring mainly from the mid-1950s to *** average Tmax,average Tmin and extreme Tmin increased at rates of 0.09℃(10 yr)^?1,0.36℃(10 yr)^?1 and 0.54℃(10 yr)^?1,respectively;and extreme Tmax decreased significantly at a rate of?0.17℃(10 yr)^?*** 1909?2018,1951?2018 and 1979?2018,the indices related to cold events decreased,while the trends of the indices related to warm events were different for different periods.

关键词： extreme temperature climate change long-term series observation Changchun Northeast China