Land use (Niger River Basin - Annual - 100m)

The land use (LU) map based on Water Accounting Plus land use classification is produced based on WaPOR land cover class and protected areas from the World Database on Protected Areas. Please read the Land Cover Classification (Africa and Near East - Annual - 100m) metadata for more information on the data source. **Data publication:** 2020-01-01 **Supplemental Information:** No data value: -9999 **Citation:** FAO 2018. WaPOR Database Methodology: Level 2. Remote Sensing for Water Productivity Technical Report: Methodology Series. Rome, FAO. 72 pages. Licence: CC-BY-4.0 **Contact points:** Resource Contact: [Solomon Seyoum](mailto:s.seyoum@un-ihe.org) Metadata Contact: [Solomon Seyoum](mailto:s.seyoum@un-ihe.org) **Data lineage:** Read the Land Cover Classification (Africa and Near East - Annual - 100m) metadata for more information on the data source. **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage

The land use (LU) map based on Water Accounting Plus land use classification is produced based on WaPOR land cover class and protected areas from the World Database on Protected Areas. Please read the Land Cover Classification (Africa and Near East - Annual - 100m) metadata for more information on the data source. **Data publication:** 2020-01-01 **Citation:** FAO 2018. WaPOR Database Methodology: Level 2. Remote Sensing for Water Productivity Technical Report: Methodology Series. Rome, FAO. 72 pages. Licence: CC BY-NC-SA 3.0 IGO

The land use (LU) map based on Water Accounting Plus land use classification is produced based on WaPOR land cover class and protected areas from the World Database on Protected Areas. Please read the Land Cover Classification (Africa and Near East - Annual - 100m) metadata for more information on the data source. **Data publication:** 2020-01-01 **Supplemental Information:** No data value: -9999 **Citation:** FAO 2018. WaPOR Database Methodology: Level 2. Remote Sensing for Water Productivity Technical Report: Methodology Series. Rome, FAO. 72 pages. Licence: CC-BY-4.0 **Contact points:** Metadata Contact: [Solomon Seyoum](mailto:s.seyoum@un-ihe.org) Resource Contact: [Solomon Seyoum](mailto:s.seyoum@un-ihe.org) **Data lineage:** Read the Land Cover Classification (Africa and Near East - Annual - 100m) metadata for more information on the data source. **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage

The land use map based on Water Accounting Plus land use classification is produced based on WaPOR land cover class and protected areas from the World Database on Protected Areas and reservoirs from GRaND. **Data publication:** 2023-01-25 **Supplemental Information:** No data value: -9999 **Contact points:** Metadata Contact: [FAO-Data](mailto:fao-data@fao.org) Resource Contact: [Solomon Seyoum](mailto:s.seyoum@un-ihe.org) **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage

For every pixel, the number of rainy days in a month is reported. This dataset is created by using daily rainfall data from WaPOR precipitation data. **Data publication:** 2020-06-01 **Supplemental Information:** No data value: -9999 Unit: days/month **Contact points:** Metadata Contact: [Solomon Seyoum](mailto:s.seyoum@un-ihe.org) **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage

Precipitation minus actual evapotranspiration (P-ET) calculated over the Niger River Basin. The P-ET is the difference between WaPOR precipitation (based on CHIRPS) and the actual evapotranspiration and interception. **Data publication:** 2020-06-01 **Supplemental Information:** No data value: -9999 Unit: mm **Contact points:** Metadata Contact: [Solomon Seyoum](mailto:s.seyoum@un-ihe.org) **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage