Base flow (Litani River Basin, Lebanon - Monthly - 100m)

Total flow calculated over the Litani River Basin area in Lebanon. The total flow (tf) is the sum of surface runoff (sro) and the base flow (bf). More information can be found on the Water Accounting report of Litani (FAO and IHE Delft, 2019). **Data publication:** 2019-06-01 **Supplemental Information:** No data value: -9999 Unit: mm/month **Citation:** FAO 2018. WaPOR Database Methodology: Level 3. Remote Sensing for Water Productivity Technical Report: Methodology Series. Rome, FAO. 72 pages. Licence: CC-BY-4.0 **Contact points:** Metadata Contact: [Bich Tran](mailto:b.tran@un-ihe.org) Resource Contact: [Bich Tran](mailto:b.tran@un-ihe.org) **Data lineage:** The calculation of total flow is based on a pixel-based soil moisture balance model. More information can be found on the Water Accounting report of Litani (FAO and IHE Delft, 2019). **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage

Surface runoff calculated for the Litani River Basin area. The surface runoff (sro) is the fraction of the effective rainfall that does infiltrate into the soil and contributes to overland flow. More information can be found on the Water Accounting report of Litani (FAO and IHE Delft, 2019). **Data publication:** 2019-06-01 **Supplemental Information:** No data value: -9999 Unit: mm/month **Citation:** FAO 2018. WaPOR Database Methodology: Level 3. Remote Sensing for Water Productivity Technical Report: Methodology Series. Rome, FAO. 72 pages. Licence: CC-BY-4.0 **Contact points:** Metadata Contact: [Bich Tran](mailto:b.tran@un-ihe.org) Resource Contact: [Bich Tran](mailto:b.tran@un-ihe.org) **Data lineage:** The calculation of surface runoff is based on a pixel-based soil moisture balance model. More information can be found on the Water Accounting report of Litani (FAO and IHE Delft, 2019). **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage

Supplied water calculated over the Litani River Basin area. The supplied water is the amount of water that is artificially or naturally supplied to a pixel generating incremental evapotranspiration and return flow. More information can be found on the Water Accounting report of Litani (FAO and IHE Delft, 2019). **Data publication:** 2019-06-01 **Supplemental Information:** No data value: -9999 Unit: mm/month **Citation:** FAO 2018. WaPOR Database Methodology: Level 3. Remote Sensing for Water Productivity Technical Report: Methodology Series. Rome, FAO. 72 pages. Licence: CC-BY-4.0 **Contact points:** Metadata Contact: [Bich Tran](mailto:b.tran@un-ihe.org) Resource Contact: [Bich Tran](mailto:b.tran@un-ihe.org) **Data lineage:** The calculation of supplied water is based on a pixel-based soil moisture balance model. More information can be found on the Water Accounting report of Litani (FAO and IHE Delft, 2019). **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage

Percolation calculated Litani River Basin area in Lebanon. The percolation (perco) is the amount of soil moisture in the root zone that leaks deeper contributing to groundwater recharge. The calculation of percolation is based on a pixel-based soil moisture balance model. More information can be found on the Water Accounting report of Litani (FAO and IHE Delft, 2019). **Data publication:** 2019-06-01 **Supplemental Information:** No data value: -9999 Unit: mm/month **Citation:** FAO 2018. WaPOR Database Methodology: Level 3. Remote Sensing for Water Productivity Technical Report: Methodology Series. Rome, FAO. 72 pages. Licence: CC-BY-4.0 **Contact points:** Metadata Contact: [Bich Tran](mailto:b.tran@un-ihe.org) Resource Contact: [Bich Tran](mailto:b.tran@un-ihe.org) **Data lineage:** The calculation of percolation is based on a pixel-based soil moisture balance model. More information can be found on the Water Accounting report of Litani (FAO and IHE Delft, 2019). **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage

Evapotranspiration from precipitation calculated over the Litani River Basin area. The evapotranspiration from precipitation (etrain) is the evapotranspiration of green water, in other words the fraction of the total evapotranspiration that is due to rainfall, calculated on a pixel-based soil moisture balance model. More information can be found on the Water Accounting report of Litani (FAO and IHE Delft, 2019). **Data publication:** 2019-06-01 **Supplemental Information:** No data value: -9999 Unit: mm/month **Citation:** FAO 2018. WaPOR Database Methodology: Level 3. Remote Sensing for Water Productivity Technical Report: Methodology Series. Rome, FAO. 72 pages. Licence: CC-BY-4.0 **Contact points:** Metadata Contact: [Bich Tran](mailto:b.tran@un-ihe.org) Resource Contact: [Bich Tran](mailto:b.tran@un-ihe.org) **Data lineage:** The calculation of the Evapotranspiration from precipitation is based on a pixel-based soil moisture balance model. More information can be found on the Water Accounting report of Litani (FAO and IHE Delft, 2019). **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage

Number of rainy days calculated in the Litani River Basin area. For every pixel, the number of rainy days in a month is reported. This dataset is created by using daily rainfall data from the Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS). **Data publication:** 2019-06-01 **Supplemental Information:** No data value: -9999 Unit: days/month **Citation:** FAO 2018. WaPOR Database Methodology: Level 3. Remote Sensing for Water Productivity Technical Report: Methodology Series. Rome, FAO. 72 pages. Licence: CC-BY-4.0 **Contact points:** Metadata Contact: [Bich Tran](mailto:b.tran@un-ihe.org) Resource Contact: [Bich Tran](mailto:b.tran@un-ihe.org) **Data lineage:** The daily precipitation data was used to compute the number of rainy days per month. The monthly data is obtained by counting the number of daily precipitation higher than 0.201 in a month for each pixel. Then, the data was resampled to 100m resolution. More information at https://wapor.apps.fao.org/catalog/WAPOR_2/1/L1_PCP_E. **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage