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Impact of Urban Expansion on Regional Temperature Change in the Yangtze River Delta Zhiqing Xie Jiangsu Institute of Meteorlogical Sciences, Nanjing Du yin Department of Atmospheric Sciences, Nanjing University Zeng Yan Jiangsu Institute of Meteorlogical Sciences, Nanjing Shi Yafeng Nanjing Institute of Geography and Limnology, CAS, Nanjing Wu Jingang Jiangsu Institute of Meteorlogical Sciences, Nanjing Based on non-radiance-calibrated DMSP/OLS nighttime light imagery from 1992 to 2003, urban land area statistical data, meteorological data and land surface temperature data retrieved by MODIS and NOAA/AVHRR data, the urbanization influence on regional climate trend of temperature in the Yangtze River Delta was analyzed. Conclusions are as follows: <strong>The</strong>re is a significant urbanization process from 1992 to 2003 in the Yangtze River Delta. Four city clusters of Nanjing-Zhenjiang-Yangzhou, Suzhou-Wuxi-Changzhou, Shanghai and Hangchow Bay form a zigzag city belt. <strong>The</strong> increase rate of year average air temperature in city-belt is 0.28-0.44 /10a from1991 to 2005, which is far larger than that of non-city-belt. <strong>The</strong> urban heat island (UHI) effect on regional average air temperature in different seasons is summer>autumn>spring>winter. <strong>The</strong> UHI intensity and the urban total population logarithm are creditable correlated. <strong>The</strong> UHI effect made the regional year average air temperature increased 0.072 from 1961 to 2005 and 0.047 , and the year maximum air temperature increased 0.162 and 0.083 from 1991 to 2005, all these indicates that the urban expansion in the Yangtze River Delta from 1991 to 2005 may be regarded as a serious climate signal. Detecting Inhomogeneity in Daily Climate Series Using Wavelet Analysis Zhongwei Yan Institute of Atmospheric Physics, <strong>Beijing</strong> yzw@tea.ac.cn Phil Jones Climate Research Unit, Norwich Daily meteorological observations have increasingly been used in the study of climate extremes. However, the long-term homogeneity of daily data remains questionable, due to untraceable changes in observing system or subjective data processing. Early studies of 157
homogeneity were mainly concerned with long-term mean values (and hence adjustments of level jumps). Conventional statistics may help identify unusual changes in variance but don't indicate the right way of adjustment regarding variability across different timescales. For daily series, the shortest timescale variability, daily variability, is sensitive to changes in local observing systems and hence may influence homogeneity more than longer-term large-scale variability may do. A wavelet method was applied to detect inhomogeneities in a few well-established long-term daily temperature series back to the 18th century, which have been 'homogenized' with conventional approaches. Various types of problems remaining in the series were revealed. As these inhomogeneities deal with daily and weather timescale fluctuations, their existence will seriously influence analysis of changes in climate extremes deduced from the daily data. By analyzing inhomogeneities with regard to specific timescales, the present results not only have importance for understanding issues in conventional climate data processing, but also imply potential for developing more comprehensive methods of homogenization for long-term daily climate series, in order to improve analysis of climate extremes based on daily data. Changing Trends of Climate in Jiangsu Province during 1961 to 2000 Xiliang Zhang Nanjing University of Infoemation and Technology Qiu Xinfa Nanjing University of Infoemation and Technology Abstract: Based on the meteorological data, observed in 63 meteorological stations of Jiangsu Province from 1961-2005, variation trends of average temperature, precipitation and sunshine percentage in recent 45 years are studied. <strong>The</strong> results show that, annual average temperature in Jiangsu Province presents a significant increase, that is, the temperature increases slightly in the summer while obviously in the other three seasons; the temperature raises the most in the winter and has the largest contribution to the annual temperature rising. Precipitation decreases significantly in the autumn while increases obviously in the winter, but the variations of annual precipitation, the precipitation in the spring and the summer is not so significant; extreme precipitation amount and its frequency appears an obvious increase in the summer, and the intensity of extreme precipitation in the autumn decreases apparently. Annual sunshine percentage and sunshine percentage of the four seasons have some decrease generally; the annual sunshine percentage and the sunshine percentage in the summer and winter reduce obviously. Key words:average temperature ;precipitation;sunshine percentage;changing trends 158
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1Oth International
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Preface It is truly a great pleasur
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Speaker: Dan Cooley................
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Speaker: Qian Li ..................
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Speaker: Ediang Okuku Archibong....
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Speaker: Yi Wang...................
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Climatological Dataset.............
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Bridging the gap between simulated
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Invited Session: Spatial patterns o
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Joint Program on the Science and Po
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e to adopt a different calibrated l
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those retained, and [iii] performan
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A range of existing statistical app
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palaeo-environmental data from sout
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Whilst it has been noted that such
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State Key Laboratory of Numerical M
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address new policies for changing c
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and show promise for analyzing tren
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1901-2005 with complete data of all
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Homogenization of daily meteorologi
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as Homogen Data, Gap, Index, Statis
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Penalized maximal t-test for detect
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Iran,Tehran, Azad university, Resea
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We present applications of several
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A 50-member ensemble is produced wi
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ichard@stats.ucl.ac.uk Nadja Leith
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Answering questions about empirical
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In a series of climate change impac
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climatological annual frequency of
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Detection of urban warming in recen
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Detection of Human Influence on pan
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Extending attribution studies: post
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Francis W. Zwiers, Gabriele C. Hege
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1, In the middle-pattern of El Niñ
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convergence zone (ITCZ). Th
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stationary waves occur in mid-latit
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A multiple surrogate data study of
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Linear and non-linear reconstructio
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Pseudo-proxy tests of the regulariz
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Parallel Sessions:Regional Studies
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Iterative Interpolation of Daily Pr
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disturbance in the natural ecosyste
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Climate Risk Management in North-Ea
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Analyzing of synoptic intence showe
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chosen since it completely defines
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The Roles of Ensem
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The diagram shows
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Empirical probabilistic seasonal fo
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Rajesh J. Department of Atmospheric
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Andrew Moore Uni. of California at
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Parallel Sessions:Simulation tools
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data can ever be generated. In fact
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egion can be explained by the rando
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on instantaneous time scales, respe
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Key words:- principal component reg
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een analysed with geostatistical to
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Iberian Peninsula and with the corr
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89% during the 10 days of mid-June,
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The paper examines
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Special AMS Session:Verification of
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Verification of Climate Forecasts (
Page 124 and 125: the regional climate change is repr
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Page 132 and 133: The study of the U
Page 134 and 135: Development and analysis of a daily
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Page 138 and 139: Rescue of historical climate data:
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Page 152 and 153: dmanatsa@buse.ac.zw Wisemen Chingom
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Page 158 and 159: ari@ludens.elte.hu J. Bartholy Dept
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Page 162 and 163: Impact of ENSO PHASES on Amazonia S
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Page 166 and 167: Relationship Between Ensemble Mean
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Page 176 and 177: Calibrating and evaluating reanalys
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