川西北生态示范区及周边地区极端气温指数时空变化分布特征 

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  • 1. 成都信息工程大学大气科学学院,四川 成都 610225
    2. 南京大学大气科学学院,江苏 南京 210023
    3. 吉林省气象科学研究所,吉林 长春 130062
    4. 长白山气象与气候变化吉林省重点实验室,吉林 长春 130062

网络出版日期: 2025-04-11

基金资助

高原与盆地暴雨旱涝灾害四川省重点实验室科技发展基金项目(SCQXKJYJXMS202210);干旱气象科学研究基金项目(IAM202004);四川省自然科学基金项目(2022NSFSC0208);甘肃省自然科学基金重点项目(21JR7RA694

Characteristics of temporal and spatial distribution of extreme temperature indices in the ecological demonstration area and surrounding areas of Northwest Sichuan province 

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  • 1. School of Atmospheric SciencesChengdu University of Information TechnologyChengdu 610225China
    2. School of Atmospheric SciencesNanjing UniversityNanjing 210093JiangsuChina
    3. Institute of Meteorological Sciences of Jilin ProvinceChangchun 130062JilinChina
    4. Jilin Provincial Key Laboratory of Changbai Mountain Meteorology & Climate ChangeChangchun 130062JilinChina

Online published: 2025-04-11

摘要

利用 1961-2022 年川西北生态示范区以及其周边地区共 70 个地面常规观测站的逐日平均气温、最高气温、最低气温资料,采用气候倾向率、经验正交分解(Empirical Orthogonal FunctionEOF)分析法、Morlet复小波方法,分析川西北及周边地区极端气温指数的时空变化特征,结果表明:(1)研究区内极端气温暖指数和极值指数呈增加趋势,极端气温冷指数呈减少趋势,气温日较差(Diurnal TemperatureRangeDTR)变化不明显;暖、冷指数变化幅度相近,夜指数变化速率大于昼指数,周边地区的极端气温指数变化相较于川西北地区更加显著。(2)川西北地区极端气温指数在 2~30年内有 2~3个主周期;周边地区在 2~20年内有 2~3个主周期;川西北地区多数指数的周期突变于 2000年左右,短中周期交替频率升高,周边地区的 FD0Frost Days,霜冻指数)、TN10PCold Nights,冷夜日数)、TX10PCold Days,冷昼日数)、CSDICold Spell Duration,冷持续日数)的周期突变于 1990 年左右,短中周期交替频率下降;川西北地区的极端气温指数周期变化相较于周边地区具有滞后性。(3TNxMax TN,日最低气温极大值)、TXxMax TX,日最高气温极大值)、TR20Tropical Nights,热夜日数)于研究区北部呈增长趋势;TXnMin TX,日最高气温极小值)于川西北东部以及周边地区呈增长趋势;ID0Ice Days,冰冻指数)、TN10P 全域减小;FD0 于川西北地区减小、周边地区增加;TNnMin TN,日最低气温极小值)、TN90PWarm Nights,暖夜日数)、DTR 于川西北西北部减少、周边地区增加;CSDISU25SummerDays,夏季指数)于研究区内东增西减,暖持续日数(Warm Spell DurationWSDI)与之相反。(4)研究区内极端气温冷指数主要呈减少趋势,极值指数变化较小,其余指数主要呈增加趋势;总体呈现增温趋势,研究区内的指数变化对全球气候变暖有较好的响应,其中周边地区的变化更为显著。

本文引用格式

徐新妍, 袁淑杰, 刘芷含, 苏丽欣, 高枞亭 . 川西北生态示范区及周边地区极端气温指数时空变化分布特征 [J]. 高原气象, 0 : 1 . DOI: 10.7522/j.issn.1000-0534.2025.00020

Abstract

Using the day-by-day average temperaturemaximum temperatureand minimum temperature data from a total of 70 ground-based conventional observatories in the Northwest Sichuan Ecological Demonstration Area as well as its peripheral areas from 1961 to 2022and adopting the climatic propensity rateEOFEmpirical Orthogonal Functionanalysis methodand Morlet complex wavelet methodwe analyzed the temporal and spatial change characteristics of the extreme temperature indices in the Northwest Sichuan and its peripheral areasand the results show that:(1The extreme temperature warm indices and extreme value indices in the study area show an increasing trendthe extreme temperature cold indices show a decreasing trendand the DTRDiurnal Temperature Rangechange is not obviousthe warm and cold indices have similar magnitude of changethe rate of change of the night indices is greater than that of the day indicesand the climate change of the extreme temperature indices of the neighboring areas is more significant compared to that of Northwest Sichuan. 2Extreme temperature indices in Northwest Sichuan have 2~3 main cycles in 2~30 yearsneighboring areas have 2~3 main cycles in 2~20 years. Most of the indices in Northwest Sichuan have a sudden change of cycle around 2000and the frequency of alternation between short and medium cycles is increasing. The cycles of FD0 Frost Days),TN10PCold Nights),TX10PCold Days),and CSDICold Spell Durationin the neighboring regions changed abruptly around 1990and the frequency of short- and medium-cycle alternation decreasedthe cycle changes of the extreme temperature indices in Northwest Sichuan have lagged compared with those in the neighboring regions.3TNxMax TN),TXxMax TX),and TR20Tropical Nights show an increasing trend in the northern part of the study areaTXnMin TXshows an increasing trend in the eastern part of NW Sichuan as well as in the neighboring areasID0Ice Daysand TN10P decrease over the whole areaFD0 de‐ creases in NW Sichuan and increases in the neighboring areasTNnMin TN),TN90PWarm Nights),and DTR decrease in NW Sichuan and increase in the neighboring areasCSDI and SU25Summer Daysincrease in the east and decrease in the westand WSDIWarm Spell Durationis the opposite. CSDI and SU25 increased in the east and decreased in the west in the study areawhile WSDI was the opposite.4In the study areathe extreme temperature cold indices mainly show a decreasing trendthe extreme value indices change lessand the rest of the indices mainly show an increasing trendthe overall warming trend is shownand the indices change in the study area respond well to the global warmingwith the peripheral areas showing more significant changes.

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