中国区域植被与温度和降水时滞相关分析*

南京大学学报(自然科学版) ›› 2015, Vol. 51 ›› Issue (3): 626–.

中国区域植被与温度和降水时滞相关分析*

李前1,2 汤剑平1+ 张建友2 潘华2

出版日期:2015-04-23 发布日期:2015-04-23
作者简介:1 南京大学大气科学学院,南京 210046 2 93721部队气象台,山西 038301
基金资助:
*自然科学基金项目(41375075)和973国家重点基础研究发展计划(2011CB952004)

Observed vegetation-climate lagged correlations in China

Li Qian1,2,Tang Jianping1*,Zhang Jianyou2,Pan Hua2

Online:2015-04-23 Published:2015-04-23
About author:(1. ,Nanjing,210046,China;2. , ,038301,China)

摘要/Abstract

摘要： 利用NOAA AVHRR遥感资料反演得到的中国地区19年（1982-2000）逐月光合有效辐射分量（FPAR）与英国气候变化研究中心（CRU）高分辨率格点资料中逐月平均的近地面气温和降水进行时滞相关分析。结果表明，我国大部分地区FPAR与同期气温的相关为显著正相关，说明温度对植被的即时强迫很强；而FPAR与超前一月的降水相关系数最大，均为正的显著相关，特别是在春季华北地区，表明前一月的降水对植被生长影响很大。FPAR与温度的相关性在春、秋季最明显，FPAR与降水的相关性在春、夏季最强。

Abstract: Time-lag correlation coefficients between monthly fraction photosynthetically active radiation(FPAR), derived from satellite remote sensing by NOAA Advanced Very High Resolution Radiometer(AVHRR), surface air temperature and precipitation from Climatic Research Unit (CRU) of high-resolution climatic girds data during the 19-year period (1982-2000) are analyzed for the whole year and four seasons. The simultaneous correlation of FPAR with temperature has a significant positive correlation in most parts of china, particularly in the Northeast, this result shows that temperature imposes a significant instantaneous forcing on FPAR. While precipitation’s impact on FPAR is greatest at one-month lead, the correlation coefficient is a significant positive correlation in china, especially in North China region on spring time, the result shows that the precipitation at one-month lead impacts on vegetation growth in a large part. The correlation of FPAR with temperature is significant on spring and autumn time, and the correlation of FPAR with precipitation is significant on spring and summer time.

李前1,2 汤剑平1+ 张建友2 潘华2. 中国区域植被与温度和降水时滞相关分析*[J]. 南京大学学报(自然科学版), 2015, 51(3): 626–.

Li Qian1,2,Tang Jianping1*,Zhang Jianyou2,Pan Hua2
. Observed vegetation-climate lagged correlations in China
[J]. Journal of Nanjing University(Natural Sciences), 2015, 51(3): 626–.

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