I decided to build the same graph as in the previous image by myself based on the raw data, which can be found in the links above.
Data Preparation and Analysis
First, I downloaded all the data from the link above from the year 1750 until 2022. It was 3 billion records. Each year's data comes as a separate file and I merged all of them into a single file. The data contains a lot of different weather parameters such as precipitation, wind, etc. I had to clean up it (delete all non-temperature values) to keep only the temperature. After cleaning around half a billion records left. Then I found that there are some missing data like there is no average temperature for some specific date, but there is minimum and maximum temperature. I restored the average temperature by adding minimum plus maximum temperature and dividing by 2.
I calculated the average temperature per year and put this data into Tableau business intelligence tool so that I could publish nice dashboards here.
Questions about Global Warming
Before I show the results of my analysis, I would like to mention what kind of question I have about Global Warming. Actually, there are only 2 questions: error and coverage. Let me explain it with more detailed information.
Source Data Error
In real scientific experiments, any data has to be paired with uncertainty (error). In my university, if I come to a professor with the experimental data like this:
Temperature °C
|
20.7
|
21.1
|
20.5
|
The professor will reject my work. It must be like this:
Temperature °C
|
Uncertainty ±°C
|
20.7
|
0.1
|
21.1
|
0.1
|
20.5
|
0.1
|
If it is not like this, then the data is not scientific. Without uncertainty, it is a school-level experiment.
Data Coverage
This is a very important question because if we do not have enough data points on the map or weather station our data can be meaningless. For example, if there are only 2 points for the whole continent, then there is no point in calculating an average temperature for this continent. It is just not enough data. The good question is how many weather stations are needed to provide good coverage. Sometimes, I drive 10 km from my home to the seashore and the temperature goes down by 2 degrees. I believe the good coverage will be if there is one weather station every 10 km. I will show what is actual coverage in the detailed analysis.
Not only temperature
All the topics, such as, glaciers melting, and polar bears' problems because polar ice is melting too early in the year are related to the data error and coverage questions. Are there the measurements of the glacier size every 100 meters for the last 50 years in order to tell, that it's size was reduced? Polar bears live on the shore line which is 12000 km long. Are there the measurements available of all these 12000 km at least for every 10 km?
Detailed Analysis
Temperature trend
If I build a graph similar to the graph in the report from The Intergovernmental Panel on Climate Change (temperature per year from 1850 until 2022) I get this graph.
Temperature goes up from 9 to 12 degrees (more than 3 degrees). Even more than in The Intergovernmental Panel on Climate Change report. But let's see what happens if I change the year range. If I put year range 1960-2022, then I get this:
So the temperature increased just a little bit, 0.1 degrees or even less. If I put 1970-2022, then it looks like this:
Temperature goes down by 0.6 degrees! I could not believe it when I first got this result!!! We have global cooling, no Global Warming. The ice age is coming soon!!!
Anyone can play with this data and filter it by the required year by this
link on Tableau website or below (embedded dashboard from Tableau website):
Data coverage analysis
As a second stage, I decided to check the coverage or how many weather stations we have and how they are distributed on The Earth. As I mentioned above, I believe that there should be one weather station every 10 km to get good coverage. This is the weather stations coverage for 2022.
Many regions are hardly covered, such as Antarctica, Greenland, North of Canada, Siberia and Africa. Another example, is in the Berkley Earth data set, there is a global average temperature anomaly here
https://berkeley-earth-temperature.s3.us-west-1.amazonaws.com/Global/Land_and_Ocean_summary.txt for the year 1850 it is -0.454 degrees Celcius with the uncertainty (error) 0.143 degrees. This looks very precise for the year 1850. Let's see how many weather station was there in 1850. In the Berkley Earth data set only 208 (In NOAA even less - 7 stations). So, 208 weather stations mean the average distance between each station is around 840 km. I can believe that in 1850 there were such precise tools, which could measure temperature with 0.1 degree precision. There was already very complex steam locomotive and other machines. However, it is difficult to believe, that having one weather station every 840 km, we can calculate an average with 0.143 degrees precision.
Even with the maximum number of active weather stations, which was about 20000, it means the average distance between stations is 80 km. It is far from ideal coverage 10 km between 2 closest stations.
I made an interactive dashboard with a map where anyone can play with the number of weather stations and temperature trends for a specific weather station or country/region. It is available by this
link on Tableau website or below (embedded dashboard from Tableau website):
In addition, I made a dashboard with the number of active weather stations per year and it is available by this
link or below:
Conclusion and Open Questions
I am not saying that Global Warming does not exist. Maybe this simple average is not good enough. I did not take into account sea temperature data. It was more difficult to find.
What I am saying is that there are some reasonable doubts and a lot of questions about Global Warming. In other words, there is not enough evidence to say, that Global Warming exists with probability 95%. In some countries like The Netherlands, people are paying CO2 taxes. Is there enough evidence to force all the people to pay CO2 tax?
These open questions are still actual:
- What is the precision of the original raw data? It is not mentioned in the data source or related works. In other words, what is the precision of tools in each weather station?
- Coverage is too low. Even during the last 50 years, when there are 15000-20000 weather stations, the coverage is only about 1.4% (under assumption that for good coverage it should be 1 weather station every 10 km).
Update 2024
Recently, I found that
International Court of Justice opened the case number 187 about Global Warming and information is available by this
link. The case is called "Obligations of States in respect of Climate Change". It will be good if International Court of Justice answers first the questions: "What is the probability if Global Warming exist?" and "Is this probability high enough to force people to pay taxes and force countries to have any legal obligations?". I hope some countries, participating in this case will find this post and based on the data analysis here, they will ask ICJ these questions :). Everyone can always contact me and I can explain it in the details.