Prediction of future climate change in three provinces of Shaanxi, Gansu and Ningxia based on SSPs path

Hong Wang; Dong Yang; Xiaoyu Lan; Xiuyan Feng; Yangpen Yang

doi:10.1117/12.2627333

22 April 2022 Prediction of future climate change in three provinces of Shaanxi, Gansu and Ningxia based on SSPs path

Hong Wang, Dong Yang, Xiaoyu Lan, Xiuyan Feng, Yangpen Yang

Proceedings Volume 12163, International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021); 121632N (2022) https://doi.org/10.1117/12.2627333
Event: International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021), 2021, Nanjing, China

Abstract

This paper selects the simulated meteorological data of SSP126, SSP245 and SSP585 under the BCC-CSM2-MR model of Shaanxi, Gansu and Ningxia from 2025 to 2100 to predict the future climate change. The results show that, from 2025 to 2100, the climate in this region warms up as a whole under different paths. Under the SSP126 path, the climate of 50.41% of Shaanxi-Gansu-Ningxia region will gradually become dry in the future. Under the SSP245 and SSP585 paths, the precipitation in more than 94% of Shaanxi-Gansu-Ningxia is gradually increasing, and the increasing trend of precipitation in northern and southern Shaanxi is the most obvious. In the future, the temperature and humidity of Gansu Hexi Corridor, north-central Ningxia and Yulin, Shaanxi Province are significantly higher than the historical mean. Compared with the historical average, the southeast of Gansu will increase temperature and reduce humidity under the path of SSP126 and SSP245.

Citation Download Citation

Hong Wang, Dong Yang, Xiaoyu Lan, Xiuyan Feng, and Yangpen Yang "Prediction of future climate change in three provinces of Shaanxi, Gansu and Ningxia based on SSPs path", Proc. SPIE 12163, International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021), 121632N (22 April 2022); https://doi.org/10.1117/12.2627333

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available