Precipitation minus actual evapotranspiration (Nura Sarysu - Kazakhstan - Monthly - 500m)

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

Precipitation minus actual evapotranspiration (P-ET) calculated over the Nile 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 **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: [Solomon Seyoum](mailto:s.seyoum@un-ihe.org) Resource Contact: [WaPOR](mailto:wapor@fao.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 Jordan River Basin area. 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 Conversion factor: the pixel value in the downloaded data must be multiplied by 0.1 New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later. **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: [Solomon Seyoum](mailto:s.seyoum@un-ihe.org) Resource Contact: [WaPOR](mailto:wapor@fao.org) **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage

The Actual Evapotranspiration is estimated from remote sensing energy balance model (SEBAL) on Landsat 8 OLI and meteo data, aggregated over main growing season (May to October) 2019. The Actual Evapotranspiration is computed for the irrigated command areas N1 identified by the ADB project in Nura district, in the Karaghandy province of Kazakhstan. **Data publication:** 2020-01-01 **Supplemental Information:** Unit: mm/season **Contact points:** Metadata Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) Resource Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) **Data lineage:** The seasonal data is obtained by adding all the monthly ETa maps from May to October 2019. **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage IWMI_Final_Report_Kazakhtsan.pdf Download: Water Productivity Spatial Datasets - Kazakhstan

The Actual Evapotranspiration is estimated from remote sensing energy balance model (SEBAL) on Landsat 8 OLI and meteo data, aggregated over main growing season (May to October) 2019. The Actual Evapotranspiration is computed for the irrigated command areas N3 identified by the ADB project in Nura district, in the Karaghandy province of Kazakhstan. **Data publication:** 2020-01-01 **Supplemental Information:** Unit: mm/season **Contact points:** Metadata Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) Resource Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) **Data lineage:** The seasonal data is obtained by adding all the monthly ETa maps from May to October 2019. **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage IWMI_Final_Report_Kazakhtsan.pdf Download: Water Productivity Spatial Datasets - Kazakhstan

The Actual Evapotranspiration is estimated from remote sensing energy balance model (SEBAL) on Landsat 8 OLI and meteo data, aggregated over main growing season (May to October) 2019. The Actual Evapotranspiration is computed for the irrigated command areas N2 identified by the ADB project in Nura district, in the Karaghandy province of Kazakhstan. **Data publication:** 2020-01-01 **Supplemental Information:** Unit: mm/season **Contact points:** Metadata Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) Resource Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) **Data lineage:** The seasonal data is obtained by adding all the monthly ETa maps from May to October 2019. **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** IWMI_Final_Report_Kazakhtsan.pdf Download: Water Productivity Spatial Datasets - Kazakhstan Download the data from Google Cloud Storage