Analysis of Extreme Temperature and Drought Information of Kunming

Zhanpeng Zhu, Zhongmu Li

2022

Abstract

As greenhouse gas concentrations rise, widespread climate change increases the frequency and occur range of extreme climate events. In order to explore the change of extreme temperature and its impact on drought in Kunming, we analysis the interannual change trend of extreme temperature index (ETIs) and standardized precipitation evapotranspiration index (SPEI) based on the meteorological series data of Kunming station from the years 1959 to 2019, and studied the correlation between them. The results show that the warm index (SU25, TN90P, TX90P and WSDI) increased significantly, while the cold index (FD0, TN10P and TX10P) decreased significantly in ETIs; the rate of warming at night is higher than that at daytime. From the years 1959 to 2019, the SPEI showed a downward trend with a rate of -0.47/ (10a). This shows that Kunming has gradually changed from humid to arid in recent decades. In the correlation analysis, the warm index was negatively correlated with SPEI, while the cold index was positively correlated with SPEI. TN10P and TN90P were correlated on monthly and seasonal time scales opposite to the annual scale. ETIs and SPEI were both negatively correlated in winter in Kunming.

Paper Citation

in Harvard Style

Zhu Z. and Li Z. (2022). Analysis of Extreme Temperature and Drought Information of Kunming. In Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC; ISBN 978-989-758-622-4, SciTePress, pages 273-277. DOI: 10.5220/0011921700003612

in Bibtex Style

@conference{isaic22,
author={Zhanpeng Zhu and Zhongmu Li},
title={Analysis of Extreme Temperature and Drought Information of Kunming},
booktitle={Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC},
year={2022},
pages={273-277},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011921700003612},
isbn={978-989-758-622-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC
TI - Analysis of Extreme Temperature and Drought Information of Kunming
SN - 978-989-758-622-4
AU - Zhu Z.
AU - Li Z.
PY - 2022
SP - 273
EP - 277
DO - 10.5220/0011921700003612
PB - SciTePress