Application of Matlab in Yinchuan climate change characteristics

Jiafu Ma

doi:10.1117/12.2667732

28 March 2023 Application of Matlab in Yinchuan climate change characteristics

Jiafu Ma

Proceedings Volume 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022); 125663E (2023) https://doi.org/10.1117/12.2667732
Event: Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 2022, Chongqing, China

Abstract

MATLAB is a collection of computing algorithms. It has more than 600 mathematical operation functions used in projects, and it is also widely used in climate analysis. This paper is based on the daily and monthly data of temperature and precipitation from 1980 to 2021, through MATLAB software, supplemented by sliding average, Trend analysis, pole symmetric mode decomposition (ESMD) and standardized precipitation evapotranspiration index (SPI) methods were used to analyze the temporal and spatial characteristics of climate and multi-scale drought in Yinchuan, Ningxia. The temperature in Yinchuan presents a staged rise as a whole. (2) ESMD is used to decompose the temperature and precipitation change signals in Ningxia, and multiple fluctuation cycles are obtained. The temperature change is dominated by the potential term, and the precipitation change is dominated by the interannual fluctuation. The warming stagnation is mainly characterized by chronological changes, with a period of about 8.2a, and the precipitation is mainly characterized by interannual changes, with a period of about 3.4a. (3) In the past 41 years, the SPI-12 index of Yinchuan in Ningxia has shown an upward trend, namely It shows a trend of developing from drought to wetness.

Citation Download Citation

Jiafu Ma "Application of Matlab in Yinchuan climate change characteristics", Proc. SPIE 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 125663E (28 March 2023); https://doi.org/10.1117/12.2667732

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