In this section on time series analysis we are going to work with the following time series data sets.
Weather station Berlin-Dahlem (FU): We use monthly,daily and hourly weather data, primarily temperature and rainfall data to demonstrate different methods of time series analysis. The data is provided by Deutscher Wetterdienst (DWD) (German Weather Service). The data is available from the DWD data portal.
Modern carbon dioxide (CO2) measurements taken at the Mauna Loa Observatory in Hawaii. The data describes the ongoing change in concentration of carbon dioxide in Earth's atmosphere since the 1950s. The data collection was initiated under the supervision of Charles David Keeling. The data is provided here.
Global and regional (for Germany) monthly earth surface temperature anomalies data provided by the Berkeley Earth Surface Temperature Study. The data is put together by Berkeley Earth. Data access is granted here.
A 800,000 years composite ice core atmospheric carbon dioxide (CO2) record provided by the World Data Center for Paleoclimatology, National Oceanic and Atmospheric Administration (NOAA). The data may be directly accessed here.
More detailed information on the steps for downloading and preprocessing the data is give in the subsequent sections.
The E-Learning project SOGA-Py was developed at the Department of Earth Sciences by Annette Rudolph, Joachim Krois and Kai Hartmann. You can reach us via mail by soga[at]zedat.fu-berlin.de.
Please cite as follow: Rudolph, A., Krois, J., Hartmann, K. (2023): Statistics and Geodata Analysis using Python (SOGA-Py). Department of Earth Sciences, Freie Universitaet Berlin.