西藏气候季节早晚和长短等级划分指标

doi:10.13866/j.azr.2024.11.01

Abstract

Abstract:

To better understand the response mechanisms of seasonal changes in high-altitude areas to ecological and environmental factors amid global climate change, it is crucial to study the indicators of seasonal early or late and length grade duration classification in Xizang. In this study, we analyzed daily temperature data from 38 meteorological stations in Xizang (1981-2023) using temperature thresholds of 6 ℃, 17 ℃, 17 ℃ and 6 ℃ for four seasons, to explore the classification indices and evolution laws of seasonal early or late and length grade. The results revealed the following: (1) The average start dates for spring, summer, autumn, and winter at the 38 stations were April 21, June 17, July 17, and October 17, with average lengths of 56 d, 29 d, 92 d, and 188 d, respectively. (2) The start and end times, as well as the lengths of the climatic seasons, exhibit characteristics of minimum standard deviation in winter and maximum standard deviation in summer. (3) The start dates, end dates, and length of the climatic seasons, as well as the start and end times and length of the four seasons, showed the following patterns: Normal>slightly early (late) and early (late)>significantly early (late) and abnormally early (late). A indicator is more in line with the threshold of the classification indicators of early or late and length grade. (4) In Xizang, the onset of spring and summer trends was earlier, while autumn and winter had late trends. (5) The start date of spring, the end date of winter, and the length of summer across the 38 stations were primarily classified as normal, whereas the start dates of summer, autumn, and winter, along with the end dates of spring and autumn, were mainly categorized as early. Conversely, the lengths of spring and autumn were mainly classified as short, while winter was predominantly classified as long, and the end date of summer was primarily considered late. These findings provide valuable insights into climate resource management, ecological protection, and the overall impact on human production and life.

Key words: climate season, early or late and length grade, standard deviation, evolution law, Xizang

SHI Jiqing, LUO Suxuan, ZHANG Weihua, ZHOU Kanshe, HU Jie, ZHANG Dongdong, GAN Chenlong. Division index of early or late and length grade in climate seasons in Xizang[J].Arid Zone Research, 2024, 41(11): 1797-1807.

Figures/Tables 9

Fig. 1

Tab. 1

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Tab. 2

Fig. 6

Fig. 7

References 20

[1]	中国气象局气候变化中心. 中国气候变化蓝皮书(2023)[M]. 北京: 科学出版社, 2023.
	[ The China Meteorological Administration Climate Change Center. Blue Book on Climate Change in China 2023[M]. Beijing: Science Press, 2023. ]
[2]	史继清, 甘臣龙, 周刊社, 等. 西藏青稞主要种植区干旱时空分布及致灾危险性评估[J]. 干旱区地理, 2023, 46(7): 1098-1110. doi: 10.12118/j.issn.1000-6060.2022.535
	[Shi Jiqing, Gan Chenlong, Zhou Kanshe, et al. Spatiotemporal distribution of drought and hazard assessment of highland barley in Tibet[J]. Arid Land Geography, 2023, 46(7): 1098-1110. ] doi: 10.12118/j.issn.1000-6060.2022.535
[3]	史继清, 周刊社, 张东东, 等. 西藏地区一种新的四季划分方法[J]. 干旱区地理, 2024, 47(5): 773-784. doi: 10.12118/j.issn.1000-6060.2023.476
	[Shi Jiqing, Zhou Kanshe, Zhang Dongdong, et al. A new division of the four seasons in Tibet[J]. Arid Land Geography, 2024, 47(5): 773-784. ] doi: 10.12118/j.issn.1000-6060.2023.476
[4]	史继清, 甘臣龙, 边多, 等. 1981—2015年西藏全区气候季节的变化[J]. 冰川冻土, 2018, 40(6): 1110-1119. doi: 10.7522/j.issn.1000-0240.2018.0120
	[Shi Jiqing, Gan Chenlong, Bian Duo, et al. Variation of seasons in Tibet Autonomous region from 1981 to 2015[J]. Journal of Glaciology and Geocryology, 2018, 40(6): 1110-1119. ] doi: 10.7522/j.issn.1000-0240.2018.0120
[5]	林蔚, 孙秀宝, 任国玉, 等. 季节划分和变化研究进展[J]. 地理科学进展, 2024, 43(4): 826-840. doi: 10.18306/dlkxjz.2024.04.015
	[Lin Wei, Sun Xiubao, Ren Guoyu, et al. A review of seasonal division and change research[J]. Progress in Geography, 2024, 43(4): 826-840. ] doi: 10.18306/dlkxjz.2024.04.015
[6]	张志高, 孙梓欣, 张秀丽, 等. 1960—2020年黄河流域气候生长季时空演变及成因分析[J]. 干旱区研究, 2023, 40(10): 1537-1546. doi: 10.13866/j.azr.2023.10.01
	[Zhang Zhigao, Sun Zhixin, Zhang Xiuli, et al. Spatial-temporal evolution and impact factors during the climatic growing season in the Yellow River Basin from 1960 to 2020[J]. Arid Zone Research, 2023, 40(10): 1537-1546. ] doi: 10.13866/j.azr.2023.10.01
[7]	邬晓丹, 罗敏, 孟凡浩, 等. 气候暖湿化背景下新疆极端气候事件时空演变特征分析[J]. 干旱区研究, 2022, 39(6): 1695-1705. doi: 10.13866/j.azr.2022.06.01
	[Wu Xiaodan, Luo Min, Meng Fanhao, et al. New characteristics of spatio-temporal evolution of extreme climate events in Xinjiang under the background of warm and humid climate[J]. Arid Zone Research, 2022, 39(6): 1695-1705. ] doi: 10.13866/j.azr.2022.06.01
[8]	陈峪, 姜允迪, 陈鲜艳, 等. 中华人民共和国气象行业标准《气候季节划分》(QX/T 152-2012)[S]. 北京: 气象出版社, 2012.
	[Chen Yu, Jiang Yundi, Chen Xianyan, et al. Meteorological Industry Standard “Division of Climate Seasons” of the People’s Republic of China (QX/T 152-2012)[S]. Beijing: China Meteorology Press, 2012. ]
[9]	马彬, 张勃. 基于格点数据的1961—2016年中国气候季节时空变化[J]. 地理学报, 2020, 75(3): 458-469. doi: 10.11821/dlxb202003002
	[Ma Bin, Zhang Bo. Spatio-temporal distribution of the climatic seasons in China from 1961 to 2016[J]. Acta Geographica Sinica, 2020, 75(3): 458-469. ] doi: 10.11821/dlxb202003002
[10]	姚愚, 李蕊, 郑建萌, 等. 1961—2017年云南季节变化特征分析[J]. 气象科学, 2020, 40(6): 849-858.
	[Yao Yu, Li Rui, Zheng Jianmeng, et al. Studies on the characteristics of seasonal variation of Yunnan Province during 1961-2017[J]. Journal of the Meteorological Sciences, 2020, 40(6): 849-858. ]
[11]	刘玉莲. 1961—2010年黑龙江省气候季节时空分布及其变化特征[J]. 气象与环境学报, 2015, 31(2): 89-96.
	[Liu Yulian. Temporal and spatial distribution of climatic season and its variation from 1961 to 2010 in Heilongjiang Province[J]. Journal of Meteorology and Environment, 2015, 31(2): 89-96. ]
[12]	张宝堃. 中国季节之分配[J]. 地理学报, 1934, 1(1): 29-74.
	[Zhang Baokun. The distribution of seasons in China[J]. Acta Geographica Sinica, 1934, 1(1): 29-74. ]
[13]	解明恩, 姚愚, 段玮, 等. 低纬高原气候季节变化特征研究——以云南昆明大理为例[J]. 热带气象学报, 2023, 39(2): 171-182.
	[Xie Ming’en, Yao Yu, Duan Wei, et al. Study on the characteristics of climatic seasons variation over low latitude plateau-taking Kunming and Dali in Yunnan as an example[J]. Journal of Tropical Meteorology, 2023, 39(2): 171-182. ]
[14]	汤懋苍, 钟海玲, 李栋梁. 青藏铁路沿线的四季划分及其温度变化分析[J]. 高原气象, 2003, 22(5): 440-444.
	[Tang Maocang, Zhong Hailing, Li Dongliang. The standard of marking off the four seasons along Qinghai-Xizang railway and its temperature variation analysis[J]. Plateau Meteorology, 2003, 22(5): 440-444. ]
[15]	范思睿, 范广洲, 董一平, 等. 青藏高原四季划分方法探讨[J]. 高原山地气象研究, 2011, 31(2): 1-11.
	[Fan Sirui, Fan Guangzhou, Dong Yiping, et al. Research of the seasonal division method on Tibetan Plateau[J]. Plateau and Mountain Meteorology Research, 2011, 31(2): 1-11. ]
[16]	张世轩, 张璐, 孙树鹏, 等. 全球变暖情况下中国季节的变化[J]. 高原气象, 2011, 30(3): 659-667.
	[Zhang Shixuan, Zhang Lu, Sun Shupeng, et al. Changes of the seasons in China under global warming[J]. Plateau Meteorology, 2011, 30(3): 659-667. ]
[17]	孙树鹏, 张璐, 侯威, 等. 基于非线性相似度量方法研究中国季节划分[J]. 物理学报, 2011, 60(2): 809-815.
	[Sun Shupeng, Zhang Lu, Hou Wei, et al. A non-linear similarity method for season division in China[J]. Acta Physica Sinica, 2011, 60(2): 809-815. ]
[18]	王士维, 孙栋元, 周敏, 等. 1951—2020年疏勒河流域气温时空变化特征[J]. 干旱区研究, 2023, 40(7): 1065-1074. doi: 10.13866/j.azr.2023.07.04
	[Wang Shiwei, Sun Dongyuan, Zhou Min, et al. Temporal and spatial variation of temperature in the Shule River Basin from 1951 to 2020[J]. Arid Zone Research, 2023, 40(7): 1065-1074. ] doi: 10.13866/j.azr.2023.07.04
[19]	程玉琴, 尤莉, 朱宇, 等. 赤峰市气候季节划分方法及应用[J]. 干旱区资源与环境, 2017, 31(4): 171-177.
	[ [Cheng Yuqin, You Li, Zhu Yu, et al. Climate season division and its application in Chifeng region[J]. Journal of Arid Land Resources and Environment, 2017, 31(4): 171-177. ]
[20]	邢小艺, 郝培尧, 李冠衡, 等. 北京植物物候的季节动态特征——以北京植物园为例[J]. 植物生态学报, 2018, 42(9): 906-916. doi: 10.17521/cjpe.2018.0113
	[Xing Xiaoyi, Hao Peiyao, Li Guanheng, et al. Seasonal dynamic of plant phenophases in Beijing: A case study in Beijing Botanical Garden[J]. Chinese Journal of Plant Ecology, 2018, 42(9): 906-916. ] doi: 10.17521/cjpe.2018.0113

	气候季节等级	开始日期	结束日期	时间长度
划分指标A	异常偏早（短）	ΔD<-3α	ΔT<-3β	ΔL<-3δ
	显著偏早（短）	-3α≤ΔD<-2α	-β3≤ΔT<-2β	-3δ≤ΔL<-2δ
	偏早（短）	-2α≤ΔD<-α	-2β≤ΔT<-β	-2δ≤ΔL<-δ
	略偏早（短）	-α≤ΔD<-1/2α	-β≤ΔT<-1/2β	-δ≤ΔL<-1/2δ
	正常	-1/2α≤ΔD<1/2α	-1/2β≤ΔT<1/2β	-1/2δ≤ΔL<1/2δ
	略偏晚（长）	1/2α≤ΔD<α	1/2β≤ΔT<β	1/2δ≤ΔL<δ
	偏晚（长）	α≤ΔD<2α	β≤ΔT<2β	δ≤ΔL<2δ
	显著偏晚（长）	2α≤ΔD≤3α	2β≤ΔT≤3β	2δ≤ΔL≤3δ
	异常偏晚（长）	ΔD>3α	ΔT>3β	ΔL>3δ
划分指标B	异常偏早（短）	ΔD<-2α	ΔT<-2β	ΔL<-2δ
	显著偏早（短）	-2α≤ΔD<-3/2α	-2β≤ΔT<-3/2β	-2δ≤ΔL<-3/2δ
	偏早（短）	-3/2α≤ΔD<-α	-3/2β≤ΔT<-β	-3/2δ≤ΔL<-δ
	略偏早（短）	-α≤ΔD<-1/2α	-β≤ΔT<-1/2β	-δ≤ΔL<-1/2δ
	正常	-1/2α≤ΔD<1/2α	-1/2β≤ΔT<1/2β	-1/2δ≤ΔL<1/2δ
	略偏晚（长）	1/2α≤ΔD<α	1/2β≤ΔT<β	1/2δ≤ΔL<δ
	偏晚（长）	α≤ΔD<3/2α	β≤ΔT<3/2β	δ≤ΔL<3/2δ
	显著偏晚（长）	3/2α≤ΔD≤2α	3/2β≤ΔT≤2β	3/2δ≤ΔL≤2δ
	异常偏晚（长）	ΔD>2α	ΔT>2β	ΔL>2δ

Division index of early or late and length grade in climate seasons in Xizang

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 9

References 20

Related Articles 2

Metrics

Comments

Recommended 0

季节	“等级5”频率/%						“等级7”频率/%
	A指标			B指标			A指标			B指标
	开始日期	结束日期	时间长度	开始日期	结束日期	时间长度	开始日期	结束日期	时间长度	开始日期	结束日期	时间长度
春季	93	92	90	84	81	79	99	99	99	93	92	90
夏季	84	74	87	76	68	79	87	87	97	84	74	87
秋季	89	90	89	79	81	78	98	97	98	89	90	89
冬季	91	94	90	82	84	79	97	99	97	91	94	90

[1]	QIMEI Lamu, ZHENG Cheng, YUAN Liuhuan, WU Peitong, TAN Kai, SHEN Qiaotian, SHI Haijing. Spatial-temporal dynamics of vegetation light use efficiency and its driving factors on the Qinghai-Xizang Plateau [J]. Arid Zone Research, 2024, 41(10): 1731-1739.
[2]	HUANG Xing,CHEN Fulong,ZHAO Qi,HE Chaofei,LONG Aihua. Evaluation and combination analysis of runoff in Hotan River, Xinjiang [J]. Arid Zone Research, 2021, 38(6): 1570-1578.