Adjusting urban bias in the regional mean surface temperature series of South Korea, 1968-99

被引:30
作者
Choi, Y
Jung, HS
Nam, KY
Kwon, WT
机构
[1] METRI KMA, Climate Res Lab, Dongjak Gu, Seoul 156720, South Korea
[2] KMA, Climate Predict Div, Dongjak Gu, Seoul 156720, South Korea
关键词
urban bias; regional surface temperature series; median rank score; inhomoggeneity; climate change; greenhouse gases; South Korea;
D O I
10.1002/joc.881
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The purpose of this paper is to produce a higher quality regional surface temperature series by removing urban biases in South Korean surface temperatures using statistical procedures. Monthly mean temperatures for 16 stations were obtained for a period of 32 years (1968-99). Each station is defined as an urban station or a rural station. Urban (rural) stations are defined as those that have population densities greater (less) than 1000 persons per squared kilometer in 1995. Ten urban stations and six rural stations are identified. Again, urban stations are subdivided into two groups according to whether their population totals exceed one million to examine magnitude changes of urban biases with the size of urban areas. Estimates of urban bias magnitude are calculated by averaging the difference between each urban station and every rural station. Estimates of mean urban bias magnitude ((T) over baru-r) are calculated by averaging the yearly urban bias estimates. Estimates of the urban trend (DeltaTu-r) are obtained by differencing period means (by doubling the differences obtained between yearly estimates averaged over two 16 year periods, 1968-83 and 1984-99). For annual or seasonal mean temperature T-i, the adjusted temperature T-i' is determined. As all estimates of (T) over baru-r are greater than zero, it suggests that temperatures in urban stations are warmer than those in rural stations. Estimates of the annual mean magnitude of urban bias range from 0.35degreesC for smaller urban stations to 0.50degreesC for large urban stations. Also, all estimates of DeltaTu-r are positive, indicating an increasing trend in the urban bias time series. Seasonal variations are found in (T) over baru-r and DeltaTu-r. After adjusting the urban bias, an increasing trend in surface temperature series is still evident. Copyright (C) 2003 Royal Meteorological Society.
引用
收藏
页码:577 / 591
页数:15
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