基于OMR方法的城市化进程对辽宁省气温变化的影响分析

doi:10.3969/j.issn.1673-503X.2020.04.004

Abstract

Abstract:

The daily average, maximum and minimum temperature observation data of 61 national meteorological stations in Liaoning province from 1961 to 2018 and the NCEP/NCAR (National Centers for Environmental Prediction/National Center for Atmospheric Research Reanalysis) reanalysis data were used to quantitatively analyze the impact of urbanization on temperature changes in Liaoning province.The results show that the temperature in Liaoning province exhibits a significant increasing trend, and the temperature increasing trend of observation data is more obvious than that of the reanalysis data.The daily average, maximum and minimum temperatures show the fastest warming rate in winter, followed in spring and autumn, and the slowest warming rate in summer.In terms of urbanization influence contribution rate, the largest rate is in autumn, those in summer and spring rank in the second, the rate in winter is relatively small.In terms of spatial distribution, the influence of urbanization in most areas of Liaoning province is on the increasing trend, presenting a distribution situation that the central part is larger than the periphery, the eastern part is larger than the western part, and the southern part is larger than the northern part.The higher the level of urbanization, the more obvious the increasing trend of OMR (Observation Minus Reanalysis) value is.The influences of average, maximum and minimum temperatures on urbanization are 0.13 ℃/10 a, 0.045 ℃/10 a and 0.216 ℃/10 a, respectively.Their contribution rates of urbanization are 38.5%, 19.5% and 43.4%, respectively, indicating that the rapid urbanization process is an important factor leading to temperature increase in Liaoning province.

Key words: Urbanization, Observation minus reanalysis (OMR) method, Climate change

CLC Number:

P468.0⁺21

Xue AO, Qing-fei ZHAI, Yan CUI, Xiao-yu ZHOU, Chun-yu ZHAO, Jin-guang ZHANG, Jian YUAN. Analysis of the influence of urbanization process on the temperature change in Liaoning province based on the OMR method[J]. Journal of Meteorology and Environment, 2020, 36(4): 28-35.

Figures/Tables 5

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Table 1

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References 35

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温度要素	类型	春季	夏季	秋季	冬季
平均气温	OBS	0.344^*	0.187^*	0.228^*	0.429^*
	NNR	0.241^*	0.109^*	0.126^*	0.302^*
	OMR	0.103^*	0.078^*	0.102^*	0.127^*
	城市化影响贡献率/（%）	29.9	41.7	44.7	29.6
平均最高气温	OBS	0.291^*	0.149^*	0.142^*	0.278^*
	NNR	0.253^*	0.117^*	0.101	0.242^*
	OMR	0.038^*	0.032^*	0.041^*	0.036^*
	城市化影响贡献率/（%）	13.1	21.5	28.9	12.9
平均最低气温	OBS	0.542^*	0.281^*	0.381^*	0.613^*
	NNR	0.316^*	0.162^*	0.201^*	0.415^*
	OMR	0.226^*	0.119^*	0.18^*	0.198^*
	城市化影响贡献率/（%）	41.7	42.3	47.2	32.3

温度要素	OBS	NNR	OMR	城市化影响贡献率/（%）
平均气温	0.338^*	0.208^*	0.13^*	38.5
平均最高气温	0.231^*	0.186^*	0.045^*	19.5
平均最低气温	0.498^*	0.282^*	0.216^*	43.4

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Analysis of the influence of urbanization process on the temperature change in Liaoning province based on the OMR method

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