Overview

This page lists the Data Sets which have been used, to create the Climate Graphics analysis used on this website.

Table of Contents

Data Set – Berkeley Earth

Average GMST sea-land 90S – 90N, for every month from 1850 to 1900.
I had to “re-baseline” the Monthly temperature values, so that the 1850-1900 temperatures averaged zero. I needed to increase all the monthly values in the data set by: “0.316421667” … to get an 1850-1900 baseline of 0C
Sanity check, The 12-months in 2023 average : 1.540921667 C … which matches that reported in the news for the “Berkeley Earth” data set.

  • Data Source:
    • Go to: https://berkeleyearth.org/data/
    • Look at the section:
      • Global Monthly Averages (1850 – Recent)
      • Berkeley Earth combines our land data with a modified version of the HadSST ocean temperature data set. The result is a global average temperature data set.
      • Monthly Global Average Temperature (annual summary)
    • click on “Monthly Global Average Temperature (annual summary)”
      • Which takes you to:
      • https://berkeley-earth-temperature.s3.us-west-1.amazonaws.com/Global/Land_and_Ocean_complete.txt
      • This actually has two data sets,
        • I used the top one: “Global Average Temperature Anomaly with Sea Ice Temperature Inferred from Air Temperatures”

Data Set – NOAA

Average GMST sea-land 90S – 90N, for every month from 1850 to 1900.
This average temp, showed I needed to increase all the monthly values in the data set by: “0.483145162”
… to get an 1850-1900 baseline of 0C
Sanity check, The 12-months in 2023 average : 1.355638829 C … which matches that reported in the news for the “NOAA” data set.

  • Data Source:
  • Go to: https://www.ncei.noaa.gov/products/land-based-station/noaa-global-temp
  • Click on: “ASCII Time Series”
  • Which is a link to:
  • https://www.ncei.noaa.gov/data/noaa-global-surface-temperature/v5.1/access/timeseries/
  • … which is a list of files
  • … this includes a readme:
  • https://www.ncei.noaa.gov/data/noaa-global-surface-temperature/v5.1/access/timeseries/00_Readme_timeseries.txt
  • Choose the dataset: “aravg.mon.land_ocean.90S.90N.v5.1.0.202312.asc”
    Which is the link:
  • From: https://www.ncei.noaa.gov/data/noaa-global-surface-temperature/v5.1/access/timeseries/aravg.mon.land_ocean.90S.90N.v5.1.0.202312.asc
  • … This gives global land and ocean from 90S to 90N, between 1850 and 2023 … all the way through

Data Set – HadCRUT

Average GMST sea-land 90S – 90N, for every month from 1850 to 1900.
This average temp, showed I needed to increase all the monthly values in the data set by: “0.358941667” … to get an 1850-1900 baseline of 0C

  • Data Source:
  • HadCRUT 5.0 data from: https://crudata.uea.ac.uk/cru/data/temperature/
  • HadCRUT5 Analysis: version 5.0.2.0
  • … Choosing “GL” which is a link to:
  • https://crudata.uea.ac.uk/cru/data/temperature/HadCRUT5.0Analysis_gl.txt

Data Set – GISSTEMP

Average GMST sea-land 90S – 90N, for every month from 1880 to 1900.
This average temp, showed I needed to increase all the monthly values in the data set by: “1.165833333”
… to get data set that is effectively in line with the 1850-1900 baseline of 0C

Sanity check: yes, 12 months of 2023 now average 1.36C … which matches that reported in the news for GISSTEMP.

  • Data Source:
    • https://data.giss.nasa.gov/gistemp/
    • Tables of Global and Hemispheric Monthly Means and Zonal Annual Means Combined Land-Surface Air and Sea-Surface Water Temperature Anomalies (Land-Ocean Temperature Index, L-OTI)
    • The following are plain-text files in tabular format of temperature anomalies, i.e. deviations from the corresponding 1951-1980 means.
    • Global-mean monthly, seasonal, and annual means, 1880-present, updated through most recent month: TXT, CSV
    • Got the data from:
      • https://data.giss.nasa.gov/gistemp/tabledata_v4/GLB.Ts+dSST.csv
    • Regarding how to baseline this, so it can be used with the same 1850-1900 baseline:
    • From https://climate.nasa.gov/vital-signs/global-temperature
    • “NASA’s analysis generally matches independent analyses prepared by the National Oceanic and Atmospheric Administration (NOAA) and other research groups.
    • Overall, Earth was about 2.45 degrees Fahrenheit (or about 1.36 degrees Celsius) warmer in 2023 than in the late 19th-century (1850-1900) preindustrial average”
    • So GISSTEMP is saying that 2023 was 1.36C above 1850-1900 …
    • If I just take the average anomaly for the 12 months in the file: https://data.giss.nasa.gov/gistemp/tabledata_v4/GLB.Ts+dSST.csv
    • Then I get: 1.165833333C
    • … and they are saying that is above the 1850-1900 baseline … but they don’t have data for 1850-1879
    • … Still that means I just need to add: 0.194166667
    • … to each of the values
    • This now has the 1880-1920 baseline averaging: -0.071321138C

Data Set – Copernicus

Copernicus Data Analysis I have been using since mid 2024

As per Copernicus 1850-1900 Baseline – Daily GMST Anomaly – I have written a very dull analysis of how I find the daily GMST Anomaly values using Copernicus data.

This gives results that better align with monthly / yearly / special analysis, published by Copernicus themselves. My previous methodology could be up to 0.05C out for any individual day.

Copernicus Data Analysis I was using in early 2024

The https://climatereanalyzer.org website provides daily global surface temperature values, and also supplies a file, with the baseline (1850-1900) temperature for each day of the year.

Sanity Check: The 12 months of 2023 give an anomaly of 1.48C which matches the (“2023 1.48°C warmer than the 1850-1900 pre-industrial level” reported here: https://climate.copernicus.eu/global-climate-highlights-2023). Also the Individual days: 17,18 November 2023 and 8,9,10,11 February 2024 are all above 2C anomaly.