Monthly potential evapotranspiration of Africa for the month of July (Africa - 5 km) - FAO/CIFA 32

Gridded values of mean monthly water temperature in Africa. Predictions of water temperature were based on gridded values of mean monthly daily minimum and maximum air temperatures and wind velocity data. Data obtained from the Centre for Resource and Environmental Studies (CRES) at the Australian National University. Mean annual wind velocity was obtained from UNEP/DEIA/GRID-Geneva. Resolution 5 km x 5 km. **Data publication:** 1998-01-01 **Supplemental Information:** This map derives from a wider study that evaluates inland fish farming potential at a continental-level, published by J.Aguilar-Manjarrez and S. S. Nath with the title "A strategic reassessment of fish farming potential in Africa" . CIFA Technical Paper. No. 32. Rome, FAO. 1998. 170p. This study is a follow-up of an earlier assessment of warm-water fish farming potential in Africa by Kapetsky (1994) with the objective to assess locations and areal expanses that have potential for warm-water and temperate-water fish farming in continental Africa. **Contact points:** Metadata Contact: [Jose Aguilar-Manjarrez](mailto:Jose.AguilarManjarrez@fao.org) **Data lineage:** Conversion from ASCII files to Arc/Info GRID **Online resources:** Online resource Mean monthly water temperature of Africa (GRID format) iiasa

Spatial distribution of potential yield (crops/y) of African catfish for small-scale farming. Predictions of growth were based on water temperature, in turn predicted from air temperature and wind velocity data. Gridded values of mean monthly daily minimum and maximum air temperatures were obtained from the Centre for Resource and Environmental Studies (CRES) at the Australian National University. Mean annual wind velocity was obtained from UNEP/DEIA/GRID-Geneva. **Data publication:** 1998-01-01 **Supplemental Information:** This map derives from a wider study that evaluates inland fish farming potential at a continental-level, published by J.Aguilar-Manjarrez and S. S. Nath with the title "A strategic reassessment of fish farming potential in Africa". CIFA Technical Paper. No. 32. Rome, FAO. 1998. 170p. This study is a follow-up of an earlier assessment of warm-water fish farming potential in Africa by Kapetsky (1994) with the objective to assess locations and areal expanses that have potential for warm-water and temperate-water fish farming in continental Africa. Resolution 5 km x 5 km. **Contact points:** Metadata Contact: [Jose Aguilar-Manjarrez](mailto:Jose.AguilarManjarrez@fao.org) **Data lineage:** Conversion from ASCII files to Arc/Info GRID **Online resources:** CIFA Tecnical Paper 32 CIFA Tecnical Paper 32 - 8. APPENDIX IIASA

Mean annual wind velocity (meters/sec) across Africa. Mean annual wind velocity was obtained from UNEP/DEIA/GRID-Geneva. **Data publication:** 1998-01-01 **Supplemental Information:** This map derives from a wider study that evaluates inland fish farming potential at a continental-level, published by J.Aguilar-Manjarrez and S. S. Nath with the title "A strategic reassessment of fish farming potential in Africa" . CIFA Technical Paper. No. 32. Rome, FAO. 1998. 170p. This study is a follow-up of an earlier assessment of warm-water fish farming potential in Africa by Kapetsky (1994) with the objective to assess locations and areal expanses that have potential for warm-water and temperate-water fish farming in continental Africa. Resolution 5 km x 5 km. **Contact points:** Metadata Contact: [Jose Aguilar-Manjarrez](mailto:Jose.AguilarManjarrez@fao.org) **Data lineage:** Conversion from ASCII files to Arc/Info GRID **Online resources:** Online resource Mean annual wind velocity (GRID format) iiasa

Reference evapotranspiration per month with a spatial resolution of 0.1 degree. Unit: mm month-1. The dataset contains monthly values for global land areas, excluding Antarctica, since 1979. The dataset has been prepared according to the FAO Penman - Monteith method as described in FAO Irrigation and Drainage Paper 56. The input variables are part of the Agrometeorological indicators dataset produced by the European Centre for Medium-Range Weather Forecasts (ECMWF) through the Copernicus Climate Change Service (C3S). The Agrometeorological indicators dataset provides daily surface meteorological data for the period from 1979 to present as input for agriculture and agro-ecological studies. This dataset is based on the hourly ECMWF ERA5 data at surface level and is referred to as AgERA5. References: https://doi.org/10.24381/cds.6c68c9bb The Copernicus Climate Change Service (C3S) aims to combine observations of the climate system with the latest science to develop authoritative, quality-assured information about the past, current and future states of the climate in Europe and worldwide. ECMWF operates the Copernicus Climate Change Service on behalf of the European Union and will bring together expertise from across Europe to deliver the service. **Data publication:** 2021-10-30 **Contact points:** Metadata Contact: [AQUASTAT](mailto:aquastat@fao.org) Resource Contact: [AQUASTAT](mailto:aquastat@fao.org) **Data lineage:** Copernicus Agrometeorological data were aggregated to daily time steps at the local time zone and corrected towards a finer topography at a 0.1° spatial resolution. The correction to the 0.1° grid was realized by applying grid and variable-specific regression equations to the ERA5 dataset interpolated at 0.1° grid. The equations were trained on ECMWF's operational high-resolution atmospheric model (HRES) at a 0.1° resolution. This way the data is tuned to the finer topography, finer land use pattern and finer land-sea delineation of the ECMWF HRES model. **Resource constraints:** License: Attribution-ShareAlike 4.0 International • The dataset contains modified Copernicus Climate Change Service information [1979-to date]; Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains. More information on License at https://creativecommons.org/licenses/by-sa/4.0/ **Online resources:** Download the data from Google Cloud Storage Download the data from File-Browser

Spatial distribution of annual precipitation interpreted as rainfall runoff to fill fish ponds. Mean annual precipitation data for Africa were obtained from UNEP/GRID in Nairobi and was developed for the Global Assessment of Soil Degradation (GLASOD) using data from 1951-1980. **Data publication:** 1994-01-01 **Supplemental Information:** This map derives from a wider study that evaluates inland fish farming potential at a continental-level, published by J.M. Kapetsky with the title "A strategic assessment of warm-water fish farming potential in Africa " . CIFA Technical Paper. No. 27. Rome, FAO. 1994. 67p. Resolution 18 km x 18 km. **Contact points:** Metadata Contact: [Jose Aguilar-Manjarrez](mailto:Jose.AguilarManjarrez@fao.org) **Data lineage:** Conversion from ASCII files to Arc/Info GRID **Online resources:** Annual rainfall (GRID format) CIFA Tecnical Paper 27 CIFA Tecnical Paper 27 - 8. APPENDIX IIASA

Spatial distribution of potential yield (crops/y) of Nile tilapia for small-scale farming. Predictions of growth were based on water temperature, in turn predicted from air temperature and wind velocity data. Gridded values of mean monthly daily minimum and maximum air temperatures were obtained from the Centre for Resource and Environmental Studies (CRES) at the Australian National University. Mean annual wind velocity was obtained from UNEP/DEIA/GRID-Geneva. **Data publication:** 1998-01-01 **Supplemental Information:** This map derives from a wider study that evaluates inland fish farming potential at a continental-level, published by J.Aguilar-Manjarrez and S. S. Nath with the title "A strategic reassessment of fish farming potential in Africa". CIFA Technical Paper. No. 32. Rome, FAO. 1998. 170p. This study is a follow-up of an earlier assessment of warm-water fish farming potential in Africa by Kapetsky (1994) with the objective to assess locations and areal expanses that have potential for warm-water and temperate-water fish farming in continental Africa. Resolution 5 km x 5 km. **Contact points:** Resource Contact: UNEP/DEIA/GRID-Geneva and (CRES) Centre for Resource and Environmental Studies (Australian National University Institute of Advanced Studies) Metadata Contact: [Jose Aguilar-Manjarrez](mailto:Jose.AguilarManjarrez@fao.org) **Data lineage:** Conversion from ASCII files to Arc/Info GRID **Online resources:** CIFA Tecnical Paper 32 CIFA Tecnical Paper 32 - 8. APPENDIX IIASA Australian National University