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Precipitation and Temperature Data for Select 12 Stations in Kenya, Tanzania, and Uganda (1979-2020)

Listed in Datasets

By Victoria Garibay1, Margaret W Gitau2, Nicholas Kiggundu3, Daniel Moriasi4, F. Mishili5

1. Purdue University 2. Purdue Univesity 3. Makerere University 4. USDA-ARS 5. Sokoine University of Agriculture and Technology

Raw climate data from ground-based stations as available and shareable, and time series developed from Climate Forecast System Reanalysis (CFSR) for selected stations in three East African countries—Kenya, Tanzania, and Uganda.

Additional materials available

Version 1.0 - published on 31 Jul 2021 doi:10.4231/2YMW-JY19 - cite this Archived on 02 Mar 2021

Licensed under CC0 1.0 Universal



Surface and ground water availability in East Africa varies substantially with time and climate, and across subregions. Climate, land use, and land management changes are key factors affecting the integrity of water resources, yet related data are generally insufficient, unavailable, or inaccessible for effective decision-making and management with respect to water resources.

This dataset comprises precipitation and temperature data as available and shareable for selected locations in three East African countries—Kenya, Tanzania, and Uganda. Additional time series developed through bias correction of Climate Forecast System Reanalysis (CFSR, Saha et al., 2010) data are included and can be used in place of observed data where the latter are deemed insufficient for use in analysis.

The data can be used for hydrologic and water quality modeling or other water resources applications and are formatted for easy use with such applications. Detailed metadata are provided with the dataset. 

Data for the following stations are included with the dataset:

⦁    Garissa
⦁    Jomo Kenyatta International Airport (JKIA)
⦁    Mandera
⦁    Mombasa
⦁    Moyale

⦁    Mtwara
⦁    Mwanza
⦁    Tabora

⦁    Arua
⦁    Entebbe
⦁    Jinja
⦁    Soroti

The data are packaged and deployed so as to be Findable, Accessible, Interoperable, and Reusable (FAIR) in accordance with open data FAIR Guiding Principles (Wilkinson et al, 2016).

Primary Data Columns:

  • date: Calendar date (YYYY-MM-DD)
  • prcpmm: Daily precipitation (mm)
  • tmin_c: Daily Minimum Temperatures (degrees Celsius)
  • tmax_c: Daily Maximum Temperatures (degrees Celsius)

Data Sources:

Observed Data (stationname_climate_obs): Retrieved from the National Oceanic and Atmospheric Association Climate Data Online (https://www.ncdc.noaa.gov/cdo-web/)

Original Reanalysis Data: Retrieved from National Centers for Environmental Prediction Climate Forecast System Reanalysis Versions 1 and 2 (https://doi.org/10.5065/D69K487J, https://doi.org/10.5065/D61C1TXF).

Funding Acknowledgement

This dataset was made possible in part through support provided by the Center for Development Research, U.S. Global Development Lab (Lab), U.S. Agency for International Development, through the LASER PULSE Program under the terms of Cooperative Agreement No. 7200AA18CA00009. The opinions expressed herein are those of the author(s) and do not necessarily reflect the views of the U.S. Agency for International Development.

Cite this work

Researchers should cite this work as follows:



Version 1 of January 15, 2021

The user is responsible for evaluation and use of the data. The authors make no warranties and are not liable for any errors arising out of or in connection to access or use of the dataset and associated materials.

The Purdue University Research Repository (PURR) is a university core research facility provided by the Purdue University Libraries and the Office of the Executive Vice President for Research and Partnerships, with support from additional campus partners.