Effects of Land Use/Cover and Meteorological Changes on Regional Climate under Different SSP-RCP Scenarios: A Case Study in Zhengzhou, China

Author:

Bai Tianqi12,Fan Like3,Song Genxin14,Song Hongquan12ORCID,Ru Xutong14ORCID,Wang Yaobin14,Zhang Haopeng14,Min Ruiqi14,Wang Weijiao14

Affiliation:

1. Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Regions, Ministry of Education, Henan University, Kaifeng 475004, China

2. Henan Key Laboratory of Integrated Air Pollution Control and Ecological Security, Henan University, Kaifeng 475004, China

3. School of Life Sciences, Henan University, Kaifeng 475004, China

4. Institute of Urban Big Data, College of Geography and Environmental Science, Henan University, Kaifeng 475004, China

Abstract

To better understand the possible role of projected land use and cover change (LUCC) in future regional climate projections, we explored the regional climate change response from land use/cover change under different climate scenarios. To do so, we propose a research framework based on different SSP-RCPs to simulate and explore the impacts of future land use/cover changes on the future climate of Zhengzhou City, China, using the Weather Research and Forecasting (WRF) model with land use/cover and meteorological data under different SSP-RCP scenarios based on CMIP6. Two scenarios, SSP2-4.5 and SSP5-8.5, were compared and analyzed by simulating changes in future climate factors of temperature at 2 m height above ground(T2) and precipitation. The results show that T2 is higher for all 4 months by the year 2060 compared to that in the year 2030. Furthermore, a comparison of the abovementioned years showed that the mean temperatures of January and July were higher than those of SSP2-4.5 under the SSP5-8.5 scenario in both years, but in 2030, the mean T2 of April and October were lower than those of SSP2-4.5 under the SSP5-8.5 scenario. In terms of precipitation, both scenarios have no significant precipitation in July in 2030 and 2060, but there is an unusual increase in January and October.

Funder

The National Natural Science Foundation of China

The Training Plan for Young Backbone Teachers in Colleges and Universities in Henan Province, China

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

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