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Estimated influence of urbanization on surface warming in Eastern China using time‐varying land use data
Author(s) -
Liao Weilin,
Wang Dagang,
Liu Xiaoping,
Wang Guiling,
Zhang Jinbao
Publication year - 2016
Publication title -
international journal of climatology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.58
H-Index - 166
eISSN - 1097-0088
pISSN - 0899-8418
DOI - 10.1002/joc.4908
Subject(s) - urbanization , china , environmental science , urban heat island , urban climate , climatology , global warming , climate change , rural area , surface air temperature , geography , physical geography , meteorology , precipitation , geology , oceanography , archaeology , economic growth , economics , medicine , pathology
We examine the urban effect on surface warming in Eastern China, where a substantial portion of the land area has undergone rapid urbanization in the last few decades. Daily surface air temperature records during the period 1971–2010 at 277 meteorological stations are used to investigate temperature changes. Owing to urban expansion, some of the stations formerly located in rural areas are becoming increasingly influenced by urban environments. To estimate the effect of this urbanization on observed surface warming, the stations are dynamically classified into urban and rural types based on the land use data for four periods, i.e. 1980, 1990, 2000 and 2010. After eliminating the temperature trend bias induced by time‐varying latitudinal distributions of urban and rural stations, the estimated urban‐induced trends in the daily minimum and mean temperature are 0.167 and 0.085 °C decade −1 , accounting for 33.6 and 22.4% of total surface warming, respectively. The temperature difference between urban and rural stations indicates that urban heat island intensity has dramatically increased owing to rapid urbanization, and is highly correlated with the difference in fractional coverage of artificial surfaces between these two types of stations. This study highlights the importance of dynamic station classification in estimating the contribution of urbanization to long‐term surface warming over large areas.