Weather Measures from Saaleaue Station: Multivariate Time Series at 10-Minute Intervals

Weather measures from the Saaleaue station provided by the Max-Planck-Institute for Biogeochemistry. The dataset contains a single multivariate time series with 32 columns, including date, time step, and 21 value columns, preprocessed to a consistent 10-minute frequency. Data collection appears to have started in 2002, with missing values and problematic measurements indicated.

Use Cases

• Multivariate time series forecasting based on the 21 value columns mentioned in the description.
• Analyzing weather patterns and anomalies based on high-frequency 10-minute interval data.
• Studying sensor data quality and missing data imputation based on the handling of -9999 values and NaNs.
• Developing models for environmental monitoring based on data from a specific biogeochemistry research station.

Strengths

• Data has been preprocessed to ensure a consistent 10-minute frequency and handle missing values.
• Contains 21 distinct measurement variables (value_0 to value_20) for multivariate analysis.
• Explicit preprocessing steps, including error code replacement and date standardization, are documented.

Limitations

• Row count and total temporal span are unknown, limiting suitability assessment.
• Column-level documentation is absent; the semantics of the 21 value columns must be inferred after download.
• The description notes some measurements may have started later in 2002, indicating potential incomplete early records.

Provenance

Source

Max-Planck-Institute for Biogeochemistry, Weather Station Saaleaue.

Collection Method

Assembled from files available on the institute's weather data webpage as of 24-05-2024.

Time Range

Data appears to start in 2002, but the exact range is unspecified.

Freshness

Last updated date is unknown; freshness unverified.

Geography

Saaleaue, Jena, Germany (inferred from station name and institute location).