Earth Observation for high impact multi-hazards science (EO4Multihazards)
Published April 14, 2025 | Version v1
Dataset Restricted

DBSCAN 3D Clusters of Heatwaves – Linguere, Senegal, 1950-2023

Authors/Creators

  • 1. ROR icon University of Twente
  • 2. ROR icon University of Plymouth

Description

Science Case Name 

Multi-Hazards in Senegal.

Dataset Name/Title 

DBSCAN 3D Clusters of Heatwaves – Linguere, Senegal, 1950-2023

Dataset Description 

The dataset contains gridded data on heatwaves over Linguere area of Senegal.

Key Methodologies 

Heatwaves were defined as at least 3-day-long events on which daily maximum air temperature exceeded the 95$^{th}$ percentile of the 15-day moving average daily maximum air temperature. Daily maximum air temperature at 2 meters was downloaded from ERA5-Land dataset.

Spatio-temporal DBSCAN was conducted with Python packages st_dbscan https://github.com/eren-ck/st_dbscan (Cakmak et al., 2021). Spatial proximity (epsilon 1) was set to 0.5 (0.5 degree), temporal proximity (epsilon 2) was set to 1.5 (1.5 days); min number of samples was set to 30.

The values in the NetCDF files represent cluster numbers (from 0 to 11), with values -1 (negative 1) representing outliers.

A summary table in CSV represents rows for each cluster with start and end dates, average severity and intensity, and maximum number of affected cells, starting from 1981.

Temporal Domain 

1950–2023, daily

Spatial Domain 

Linguere, Senegal, West Africa

Spatial resolution ca 0.1°x0.1° (EPGS:4326)

Key Variables/Indicators 

Spatio-temporal clusters of heatwave events

Data Format 

netCDF

CSV 

Source Data 

ERA5-Land daily max air temperature

Accessibility 

Zenodo, https://doi.org/10.5281/zenodo.15212719

Stakeholder Relevance 

Identifying and assessing past heatwave events for multi-hazard events monitoring, prediction and preparedness.

Limitations/Assumptions 

The clustering was done over the specified region only.

Each calendar year was clustered independently.

Additional Outputs/information

The dataset access is currently restricted due to pending related publication.

Contact Information 

Egor Prikaziuk (UT-ITC, Faculty of Geo-Information Science and Earth Observation, ITC, University of Twente, the Netherlands)

Files

Restricted

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Additional details

Funding

European Space Research Institute
EO4Multihazards (Earth Observation for High-Impact Multi-Hazards Science), funded by the European Space Agency and launched as part of the joint ESA-European Commission Earth System Science Initiative

References

  • Cakmak, E., Plank, M., Calovi, D. S., Jordan, A., & Keim, D. (2021). Spatio-temporal clustering benchmark for collective animal behavior. Proceedings of the 1st ACM SIGSPATIAL International Workshop on Animal Movement Ecology and Human Mobility, 5–8. https://doi.org/10.1145/3486637.3489487