河南省气温资料均一化前后气温变化趋势对比分析

doi:10.3969/j.issn.1673-503X.2021.01.006

Abstract

Abstract:

Based on the data of daily mean temperature before and after homogenization from 111 meteorological stations during 1961-2017 in He'nan province, the statistical analysis method was used to analyze the changes of annual, seasonal and monthly mean temperature and their spatial distribution before and after homogenization in order to clarify the effects of unnatural factors on the trend change of mean temperature in He'nan province.The results show that from 1961 to 2017, the annual mean temperature in He'nan province increases significantly before and after homogenization.The increasing rate after homogenization is 0.21 ℃ per decade which is 0.02 ℃ higher than that before homogenization.Among the four seasons, the increasing rate of seasonal mean temperature in winter before and after homogenization both are the highest, which are 0.36 ℃ per decade and 0.38 ℃ per decade, respectively.Among the twelve months, the increasing rates of monthly mean temperature in February before and after homogenization both are the highest, the values are 0.49 ℃ per decade and 0.51 ℃ per decade, respectively.Among 111 meteorological stations, 41.4% of the total sites are not affected by non-natural factors, while the rest 58.6% are greatly affected by non-natural factors.For the annual mean temperature, after homogenization, 96.4% of the total stations increase significantly which are averagely 6.3% bigger than that i.e.90.1% before homogenization.Among the rest 58.6% of the total stations, the climatic tendencies of 43.3% and 15.3%are averagely underestimated and overestimated, respectively.For the seasonal mean temperature, 99.1% of the total stations significantly increase in both winter and spring after homogenization, while the percentages are 98.2% and 92.8% before homogenization, respectively.Among the twelve months, the months whose mean temperatures increase significantly in more than 50% of the 111 stations are February, March, April, October and December before homogenization, and January is added after homogenization.The effects of non-natural factors on the mean temperature result in the underestimation of the warming rate in He'nan province.

Key words: Homogenization, Mean temperature change, Assessment

CLC Number:

P468.0+21

Xing-jie JI,Ya-lei DING,Feng-xiu LI,Xuan ZUO. Comparative analysis of the mean temperature trend before and after homogenization of the mean temperature data in He'nan province[J]. Journal of Meteorology and Environment, 2021, 37(1): 43-52.

Figures/Tables 12

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Table 1

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References 29

1	贺志明, 邓诗茹, 吴琼, 等. 1963-2012年南昌市气温和降水变化分析[J]. 气象与环境学报, 2018, 34 (2): 35- 43.
2	Dadamouny M A , Schnittler M . Trends of climate with rapid change in Sinai, Egypt[J]. Journal of Water and Climate Change, 2016, 7 (2): 393- 414. doi: 10.2166/wcc.2015.215
3	任国玉, 郭军, 徐铭志, 等. 近50年中国地面气候变化基本特征[J]. 气象学报, 2005, 63 (6): 942- 956.
4	IPCC . Climate change 2013:the physical science basis[M]. Cambridge: Cambridge University Press, 2013.
5	孙凤华, 李丽光, 袁健, 等. 辽河流域年平均径流对气候变化响应的试验分析[J]. 气象与环境学报, 2018, 34 (6): 91- 95.
6	Vandana K , Islam A , Parth Sarthi P , et al. Assessment of potential impact of climate change on streamflow: a case study of the Brahmani River basin, India[J]. Journal of Water and Climate Change, 2019, 10 (3): 624- 641. doi: 10.2166/wcc.2018.129
7	Li Y , Xie Z X , Qin Y C , et al. Responses of the yellow river basin vegetation: climate change[J]. International Journal of Climate Change Strategies and Management, 2019, 11 (4): 483- 498. doi: 10.1108/IJCCSM-08-2018-0064
8	Forestieri A , Arnone E , Blenkinsop S , et al. The impact of climate change on extreme precipitation in Sicily, Italy[J]. Hydrological Processes, 2018, 32 (3): 332- 348. doi: 10.1002/hyp.11421
9	郭飞燕, 綦东菊, 周斌, 等. 青岛地区气候变化对动物物候变化的影响研究[J]. 气候变化研究进展, 2019, 15 (1): 62- 73.
10	李瑞英. 鲁西南木本植物生长季及物候期持续日数对气候变暖的响应[J]. 气象与环境学报, 2015, 31 (1): 90- 95.
11	赵铁良, 耿海东, 张旭东, 等. 气温变化对我国森林病虫害的影响[J]. 中国森林病虫, 2003, (3): 29- 32.
12	朱敏, 袁建辉. 1961-2010年江苏省农业气候资源演变特征[J]. 气象与环境学报, 2013, 29 (3): 69- 77.
13	刘桂芳, 卢鹤立. 全球变暖背景下的中国西部地区气候变化研究进展[J]. 气象与环境科学, 2009, 32 (4): 69- 73.
14	朱玲, 龚强, 王小桃, 等. 辽宁省地气温差变化特征及其原因分析[J]. 气象与环境学报, 2017, 33 (4): 71- 77.
15	王建英, 谢若梅, 王超, 等. 濮阳市近50年气温变化特征及影响[J]. 气象与环境科学, 2008, (S1): 146- 150.
16	李庆祥. 我国气候资料均一性研究现状与展望[J]. 气象科技进展, 2016, 6 (3): 67- 74.
17	崔妍, 徐文慧, 李庆祥, 等. 东北地区月气温序列的均一性检验和订正[J]. 气象, 2019, 45 (2): 240- 250.
18	李百超, 王波, 李旭. 均一化气温资料与观测资料的对比分析[J]. 黑龙江气象, 2009, 26 (3): 29- 30.
19	李娇, 任国玉, 任玉玉, 等. 资料均一化对沈阳站气温趋势和城市化偏差分析的影响[J]. 大气科学学报, 2014, 37 (3): 297- 303.
20	路平平, 任爱臣, 龙妍妍, 等. 牡丹江气象站迁站前后气象资料对比分析及均一性影响[J]. 黑龙江气象, 2018, 35 (2): 30- 31.
21	Wang X L . Penalized maximal F test for detecting undocumented mean shift without trend change[J]. Journal of Atmospheric and Oceanic Technology, 2008, 25 (3): 368- 384. doi: 10.1175/2007JTECHA982.1
22	Wang X L . Accounting for autocorrelation in detecting mean shifts in climate data series using the penalized maximal t or F test[J]. Journal of Applied Meteorology and Climatology, 2008, 47 (9): 2423- 2444. doi: 10.1175/2008JAMC1741.1
23	曹丽娟, 严中伟. 地面气候资料均一性研究进展[J]. 气候变化研究进展, 2011, 7 (2): 129- 135.
24	远芳, 曹丽娟, 唐国利, 等. 中国825个基准、基本站地面气压系统误差的检验与订正[J]. 气候变化研究进展, 2015, 11 (5): 331- 336.
25	余君, 赵美艳, 刘霄, 等. 重庆地区降水序列的均一性检验及其对气候变化分析的影响[J]. 高原山地气象研究, 2014, 34 (2): 68- 71.
26	Xu W H , Li Q X , Wang X L , et al. Homogenization of Chinese daily surface air temperatures and analysis of trends in the extreme temperature indices[J]. Journal of Geophysical Research: Atmospheres, 2013, 118 (17): 9708- 9720. doi: 10.1002/jgrd.50791
27	许艳, 唐国利, 张强. 基于均一化格点资料的全球变暖趋缓期中国气温变化特征分析[J]. 气候变化研究进展, 2017, 13 (6): 569- 577.
28	陈前江, 延军平. 1970年以来湖北省气候变化与旱涝灾害响应分析[J]. 江汉大学学报, 2015, 43 (4): 308- 316.
29	张德汴, 张明周, 李柯星, 等. 近50a开封市气候变化特征分析[J]. 气象与环境科学, 2009, 32 (S1): 82- 86.

时间	气候倾向率						显著性
	正值/(%)		负值/(%)		相减为正/(%)	相减为负/(%)	显著/(%)		不显著/(%)
	均一化前	均一化后	均一化前	均一化后	相减为正/(%)	相减为负/(%)	均一化前	均一化后	均一化前	均一化后
1月	96.4	98.2	3.6	1.8	43.3	15.3	43.2	50.4	56.8	49.6
2月	100	100	0	0	43.3	15.3	97.3	99.1	2.7	0.9
3月	100	100	0	0	42.4	16.2	97.3	99.1	2.7	0.9
4月	100	100	0	0	43.3	15.3	90.1	97.3	9.9	2.7
5月	87.4	93.7	12.6	6.3	41.5	17.1	35.1	40.5	64.9	59.5
6月	23.4	34.2	76.6	65.8	41.5	17.1	10.8	9.9	89.2	90.1
7月	46.8	58.6	53.2	41.4	39.7	18.9	1.8	7.2	98.2	92.8
8月	18.0	25.2	82.0	74.8	41.5	17.1	16.2	9.9	83.8	90.1
9月	90.1	99.1	0.9	0.9	41.5	17.1	47.7	36.9	52.3	63.1
10月	100	99.1	0	0.9	43.3	15.3	69.4	82.0	30.6	18.0
11月	95.5	96.4	4.5	3.6	42.4	16.2	15.3	19.8	84.7	70.2
12月	100	100	0	0	41.5	17.1	60.4	78.4	39.6	21.6
春季	100	100	0	0	43.3	15.3	92.8	99.1	7.2	0.9
夏季	26.1	35.1	73.9	64.9	41.5	17.1	20.7	19.8	79.3	80.2
秋季	100	99.1	0	0.9	43.3	15.3	76.6	89.2	23.4	10.8
冬季	100	100	0	0	41.5	17.1	98.2	99.1	1.8	0.9
年	100	100	0	0	43.3	15.3	90.1	96.4	9.9	3.6

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Comparative analysis of the mean temperature trend before and after homogenization of the mean temperature data in He'nan province

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