Description
Demonstration Case: Name Multi-Hazards in Senegal.
Dataset Name/Title: Dry matter productivity (DMP) standardized anomalies – Senegal, 1998-2024.
Dataset Description: The dataset contains gridded data on standardized DMP anomalies over the whole area of Senegal.
Key Methodologies: The standardized anomalies were computed as Z-scores of dekadal DMP. Z-scores below or equal to -1 identify a productivity gap.
Temporal Domain: 1998.09–2024.05, dekadal (10-daily)
Spatial Domain: Senegal, West Africa
Spatial resolution: 1km-by-1km (ca 0.009°x0.009° in EPGS:4326)
Key Variables/Indicators: DMP anomalies
Data Format: netCDF
Source Data: Copernicus Land Monitoring Service (CLMS) Dry Matter Productivity (DMP)
Accessibility: Zenodo, https://doi.org/10.5281/zenodo.15235670
Stakeholder Relevance: Identifying and assessing yield gaps and drought-yield lags for multi-hazard events risk and damage assessment.
Limitations/Assumptions: The computation of standardized anomalies is based on 20 years of data, which may not be sufficient to capture long-term variability or represent climatological norms accurately.
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)
Dataset Name/Title: Dry matter productivity (DMP) standardized anomalies – Senegal, 1998-2024.
Dataset Description: The dataset contains gridded data on standardized DMP anomalies over the whole area of Senegal.
Key Methodologies: The standardized anomalies were computed as Z-scores of dekadal DMP. Z-scores below or equal to -1 identify a productivity gap.
Temporal Domain: 1998.09–2024.05, dekadal (10-daily)
Spatial Domain: Senegal, West Africa
Spatial resolution: 1km-by-1km (ca 0.009°x0.009° in EPGS:4326)
Key Variables/Indicators: DMP anomalies
Data Format: netCDF
Source Data: Copernicus Land Monitoring Service (CLMS) Dry Matter Productivity (DMP)
Accessibility: Zenodo, https://doi.org/10.5281/zenodo.15235670
Stakeholder Relevance: Identifying and assessing yield gaps and drought-yield lags for multi-hazard events risk and damage assessment.
Limitations/Assumptions: The computation of standardized anomalies is based on 20 years of data, which may not be sufficient to capture long-term variability or represent climatological norms accurately.
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)
| Date made available | 17 Apr 2025 |
|---|---|
| Publisher | Zenodo |