Modern Climate Statistical Diagnosis and Prediction Techniques

Resource Overview

In Wei Fengying's book "Modern Climate Statistical Diagnosis and Prediction Techniques", there is an example demonstrating the application of Mann-Kendall method to detect abrupt changes in Shanghai's annual average temperature series from 1900 to 1990, including implementation approaches for statistical trend analysis.

Detailed Documentation

Wei Fengying's book "Modern Climate Statistical Diagnosis and Prediction Techniques" provides numerous examples related to climate change, including using the Mann-Kendall method to detect abrupt changes in Shanghai's annual average temperature series from 1900 to 1990. The Mann-Kendall test implementation typically involves calculating statistical trends using sequential comparison of each data point with all subsequent values, where the test statistic S is computed through pairwise comparisons and normalized to determine significance levels. The book not only presents quantitative analysis methods for climate change but also introduces various climate indicators and their impacts. Additionally, it explores the causes and trends of climate change while proposing potential mitigation strategies. This work serves as an essential reference for understanding climate change dynamics and conducting climate analysis, with practical guidance on implementing statistical methods like the Mann-Kendall test through algorithmic approaches that handle missing data and serial correlation in climate time series.