Automated Author ProfileBenaradj, Abdelkrim
Centre universitaire Salhi Ahmed - Naama0000-0001-6555-6008
Benaradj, Abdelkrim
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 2.6 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This dataset provides high-resolution climatic data for Djebel Aïssa National Park, located in southwestern Algeria. It was produced by downscaling WorldClim version 2.1 data (1 km resolution) using a hybrid statistical approach that combines Generalised Additive Models (GAM) and Random Forests (RF) to enhance spatial resolution. The downscaling process integrates local topographic variables derived from the ALOS PALSAR Digital Elevation Model (12.5 m resolution) to improve the accuracy of precipitation estimates across complex terrain. To further improve reliability, bias correction was applied. Precipitation data were corrected using quantile mapping based on a gamma distribution, with reference values extrapolated from a lapse rate gradient to better capture altitudinal variability. Temperature data were corrected using a non-parametric quantile mapping approach, aligning the empirical distributions of modelled and extrapolated values. These corrections reduce systematic biases and improve consistency with observed local climate conditions, thereby enhancing the dataset’s suitability for fine-scale ecological, hydrological, and climate impact studies. All R scripts used to generate and process these data are provided in an accompanying R Markdown (.Rmd) file and compiled PDF report, ensuring full transparency and reproducibility of the workflow.Dataset details:Geographic coverage: Djebel Aissa National Park, SW-AlgeriaData source: Downscaled WorldClim Version 2.1Temporal resolution: 1970-2000.Spatial resolution: 12.5 m spatial resolution.Coordinate reference system: WGS 84 (EPSG: 4326)Format: GeoTIFF (.tif) files Usage: This data can be used for climatic modeling, ecological studies, and environmental monitoring, particularly for studies related to vegetation dynamics, hydrology, and climate change impacts within Djebel Aissa National Park.Precipitation VariablesMonthly PrecipitationFormat: 12 rasters (.tif)Unit: millimetres (mm)Description: Total precipitation per month.Annual PrecipitationFormat: Single rasterCalculation: Sum of all 12 monthly precipitation rasters.Temperature VariablesMonthly Minimum Temperature (Tmin)Format: 12 rasters (tif)Unit: Degrees Celsius (°C)Description: Minimum temperature for each month.Monthly Maximum Temperature (Tmax)Format: 12 raster (tif)Unit: Degrees Celsius (°C)Description: Maximum temperature for each month.Monthly Average Temperature (Tavg)Format: 12 raster (tif)Calculation: (Tmax+Tmin)/2Description: Average monthly temperature.Annual Mean Temperature Format: Single raster (tif)Calculation: Mean of monthly average temperatures
Authors
- Habibi, Imene ;
- Achour, Hammadi ;
- Benaradj, Abdelkrim ;
- BOUNACEUR, Farid
This dataset provides high-resolution climatic data for Djebel Aïssa National Park, located in southwestern Algeria. It was produced by downscaling WorldClim version 2.1 data (1 km resolution) using a hybrid statistical approach that combines Generalised Additive Models (GAM) and Random Forests (RF) to enhance spatial resolution. The downscaling process integrates local topographic variables derived from the ALOS PALSAR Digital Elevation Model (12.5 m resolution) to improve the accuracy of precipitation estimates across complex terrain. To further improve reliability, bias correction was applied. Precipitation data were corrected using quantile mapping based on a gamma distribution, with reference values extrapolated from a lapse rate gradient to better capture altitudinal variability. Temperature data were corrected using a non-parametric quantile mapping approach, aligning the empirical distributions of modelled and extrapolated values. These corrections reduce systematic biases and improve consistency with observed local climate conditions, thereby enhancing the dataset’s suitability for fine-scale ecological, hydrological, and climate impact studies. All R scripts used to generate and process these data are provided in an accompanying R Markdown (.Rmd) file and compiled PDF report, ensuring full transparency and reproducibility of the workflow.Dataset details:Geographic coverage: Djebel Aissa National Park, SW-AlgeriaData source: Downscaled WorldClim Version 2.1Temporal resolution: 1970-2000.Spatial resolution: 12.5 m spatial resolution.Coordinate reference system: WGS 84 (EPSG: 4326)Format: GeoTIFF (.tif) files Usage: This data can be used for climatic modeling, ecological studies, and environmental monitoring, particularly for studies related to vegetation dynamics, hydrology, and climate change impacts within Djebel Aissa National Park.Precipitation VariablesMonthly PrecipitationFormat: 12 rasters (.tif)Unit: millimetres (mm)Description: Total precipitation per month.Annual PrecipitationFormat: Single rasterCalculation: Sum of all 12 monthly precipitation rasters.Temperature VariablesMonthly Minimum Temperature (Tmin)Format: 12 rasters (tif)Unit: Degrees Celsius (°C)Description: Minimum temperature for each month.Monthly Maximum Temperature (Tmax)Format: 12 raster (tif)Unit: Degrees Celsius (°C)Description: Maximum temperature for each month.Monthly Average Temperature (Tavg)Format: 12 raster (tif)Calculation: (Tmax+Tmin)/2Description: Average monthly temperature.Annual Mean Temperature Format: Single raster (tif)Calculation: Mean of monthly average temperatures
Authors
- Habibi, Imene ;
- Achour, Hammadi ;
- Benaradj, Abdelkrim ;
- BOUNACEUR, Farid
This dataset provides very high-resolution climatic data for Djebel Aïssa National Park, located in southwestern Algeria. It was produced by downscaling WorldClim version 2.1 data (1 km resolution) using a hybrid statistical approach that combines Generalised Additive Models (GAM) and Random Forests (RF) to enhance spatial resolution. The downscaling process integrates local topographic variables derived from the ALOS PALSAR Digital Elevation Model (12.5 m resolution) to improve the accuracy of precipitation estimates across complex terrain. To further improve reliability, bias correction was applied. Precipitation data were corrected using quantile mapping based on a gamma distribution, with reference values extrapolated from a lapse rate gradient to better capture altitudinal variability. Temperature data were corrected using a non-parametric quantile mapping approach, aligning the empirical distributions of modelled and extrapolated values. These corrections reduce systematic biases and improve consistency with observed local climate conditions, thereby enhancing the dataset’s suitability for fine-scale ecological, hydrological, and climate impact studies.All R scripts used to generate and process these data are provided in an accompanying R Markdown (.Rmd) file and compiled PDF report, ensuring full transparency and reproducibility of the workflow.Dataset details:Geographic coverage: Djebel Aissa National Park, SW-AlgeriaData source: Downscaled WorldClim Version 2.1Temporal resolution: 1970-2000.Spatial resolution: 12.5 m spatial resolution.Coordinate reference system: WGS 84 (EPSG: 4326)Format: GeoTIFF (.tif) files Usage: This data can be used for climatic modeling, ecological studies, and environmental monitoring, particularly for studies related to vegetation dynamics, hydrology, and climate change impacts within Djebel Aissa National Park.Precipitation VariablesMonthly PrecipitationFormat: 12 rasters (.tif)Unit: millimetres (mm)Description: Total precipitation per month.Annual PrecipitationFormat: Single rasterCalculation: Sum of all 12 monthly precipitation rasters.Temperature VariablesMonthly Minimum Temperature (Tmin)Format: 12 rasters (tif)Unit: Degrees Celsius (°C)Description: Minimum temperature for each month.Monthly Maximum Temperature (Tmax)Format: 12 raster (tif)Unit: Degrees Celsius (°C)Description: Maximum temperature for each month.Monthly Average Temperature (Tavg)Format: 12 raster (tif)Calculation: (Tmax+Tmin)/2Description: Average monthly temperature.Annual Mean Temperature Format: Single raster (tif)Calculation: Mean of monthly average temperatures
Authors
- Habibi, Imene ;
- Achour, Hammadi ;
- Benaradj, Abdelkrim ;
- BOUNACEUR, Farid