Paper
23 February 2023 Analysis of the differences of precipitation and temperature between coastal cities and inland cities
Ruixi Chen
Author Affiliations +
Proceedings Volume 12551, Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022); 1255121 (2023) https://doi.org/10.1117/12.2668157
Event: Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022), 2022, Changchun, China
Abstract
Correlation analysis of monthly precipitation and monthly mean maximum and minimum temperatures for 2001-2020 in Jinan, Qingdao, Wuhan and Shanghai is conducted in this paper. Programming tools such as python and matlab are used in statistical analysis of one-dimensional linear regression in order to compare the differences between coastal and inland climate elements and analyse their causes. Experiment indicates that inland cities usually have more extreme precipitation and higher maximum temperatures in all seasons, while coastal cities always have more stable precipitation and higher minimum temperatures, except for spring. By establishing a unary linear regression model, so as to better judge the temperature change in inland coastal cities, the experiment is in line with the expected results.
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Ruixi Chen "Analysis of the differences of precipitation and temperature between coastal cities and inland cities", Proc. SPIE 12551, Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022), 1255121 (23 February 2023); https://doi.org/10.1117/12.2668157
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KEYWORDS
Temperature metrology

Climatology

Linear regression

Meteorology

Statistical analysis

Machine learning

Correlation coefficients

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