Introduction

Germany has experienced an annual average temperature change of 3.63 deg F (2.01 deg C) between 1960 to 2017. This is not good news.

The 2 deg C change represents 2.1 times (3.63/1.69) the worldwide average amount of heating across this time frame. It also means that Germany has also crossed the dreaded 2 deg C threshold of change caused by global warming.

Background

If you want to understand how this data is calculated, please visit this site. You can find specific information that explains this work in the Phase III articles. In this article, my analysis time frame is from 1960 to 2017, as shown in Figure 0.

Figure 0 – This is the world-wide temperature anomaly curve produced by NASA. My timeframe of analysis is between 1960 and 2018.

Results from Germany

Figure 1 shows the locations of 181 monitoring stations across Germany. The color and size of each dot are proportional to the annual temperature change measured from 1960 to 2017. There were over 3.7 million daily maximum temperatures collected during this timeframe from this monitoring network.

Figure 1 – The 181 monitoring stations in Germany.

Figure 2 contains daily average temperature changes measured from 1960 to 2017, using the data captured from the monitoring station network shown in Figure 1.  Each daily bar shown represents the average temperature change from the monitoring sites that had data spanning from 1960 to 2017. This means that each daily bar shown in Figure 2 is computed using up to 181 monitoring stations times 58 years of data, or about 10,500 daily maximum temperature readings.

With an annual average change of 3.63 deg F (2.01 deg C), Germany has experienced about 2 deg F more overall warming than the worldwide average of 1.69 deg F. It is clear from the lower half of Figure 2 that Germany has experienced heating throughout the year, with three very minor periods of cooling shown in Jan, Sept, and October (the blue zones in the lower part of Figure 2).

Figure 2 – The daily average temperature changes for the monitoring network in Germany. Each bar represents the daily average change from 1960-2017 as measured at all the monitoring stations that had data spanning 1960-2017.

Another representation of the data set that was used to create Figure 2 can be seen in Figure 3. Each column of data represents a month, with January starting on the left and progressing to December on the right. Each day of the month is shown as a row, with day 1 at the top and day 31 at the bottom.

By viewing the histogram shapes and colors, it is easy to see periods of cooling (Jan 22-27th) or periods of heating (much of the month of March). The red colors indicate heating from 1960 to 2017 and the blue colors represent cooling over the same time period for each day of the year. Each of these histogram distributions represents the entire monitoring network, with trend models used to compute the temperature changes for each monitoring station over the 58 year period.

Figure 3 – The total daily maximum temperature change distribution from 1960 to 2017 for all the monitoring stations in Germany that had data spanning this timeframe. The average of each of these distributions is what is shown as daily bars in Figure 2.

Germany has experienced the most change during the last week of April and again from mid-December through mid-January. Germany is getting whacked hard during all seasons, with the slight exception of Fall, as shown in Figure 2.

Other Countries

If anyone would like to see this type of analysis for any other countries, write me a comment and I’ll write you an article. How much easier can it be than that? Thanks for reading.