From the International Mountain Society and published via the BioOne Online Journal
He Yunling and Zhang Yiping from The Chinese Academy of Sciences concluded from their investigation published in 2005…
This study investigated long-term climate change at 19 stations across the Lancang River from the north to the south. Over the observation period of 41 years, mean annual air temperature increased at the rate of 0.01°C/yr to 0.04°C/yr at 12 stations at the significance level ? = 0.01. Precipitation change in different areas was very different. Mean annual precipitation decreased from ?2.86mm/yr to ?5.29mm/yr at 3 stations, and mean annual precipitation increased from 5.77mm/yr and 7.44mm/yr at 2 stations, statistically significant at the significance level ? = 0.05.
On a seasonal basis, the climate change trend in air temperature was more significant in the dry season than in the rainy season, with precipitation showing converse behavior. On a spatial basis, the lower reaches of the Lancang River experienced much more severe climate change (temperature increase, precipitation decrease, and drought development) than the upper reaches in the past 41 years.
Read the full article here…
The data was analysed using Sen’s Slope – Minitab informs us that
Sen’s Slope is a nonparametric alternative for estimating a slope for a univariate time series. This approach involves computing slopes for all the pairs of ordinal time points and then using the median of these slopes as an estimate of the overall slope. Sen’s slope is insensitive to outliers and can be used to detect if there is a trend in the data.
You can download a macro here from Minitab to analysis your own data.