Hurni, Kaspar; Hodel, Elias; Krauer, Jürg; Gämperli, Ursula; Fries, Matthias; Würsch, Lukas; Zeleke, Gete; Kassawmar, Tibebu; Aragie, Yohannes (2019). Ethiopia Geographic Base Map: Annual Precipitation 2017 [Map]. In: Thematic Overview Map Series 1:1,000,000 / 1:1,500,000. Bern: Centre for Development and Environment
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Ethiopia1000k-WLRC-PREC_1.pdf - Published Version Available under License Creative Commons: Attribution-Noncommercial (CC-BY-NC). Download (51MB) | Preview |
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Ethiopia1000k-WLRC-PREC_2.pdf - Published Version Available under License Creative Commons: Attribution-Noncommercial (CC-BY-NC). Download (56MB) | Preview |
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Ethiopia1000k-WLRC-PREC_3.pdf - Published Version Available under License Creative Commons: Attribution-Noncommercial (CC-BY-NC). Download (51MB) | Preview |
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Ethiopia1500k-WLRC-PREC_4.pdf - Published Version Available under License Creative Commons: Attribution-Noncommercial (CC-BY-NC). Download (43MB) | Preview |
A variety of global spatial interpolation models for rainfall estimates (e.g. TRMM: Tropical Rainfall Measurement Mission; GPM: Global Precipitation Measurement; CHIRPS: Climate Hazards Infrared Precipitation with Station) are freely available at the global level. For Ethiopia, however, rainfall patterns are strongly influenced by topography and the monsoon regime. Strong deviations from the precipitation estimates are therefore quite common. In preparation of the map, the geostatistical interpolation model (CoKriging) was used to validate the gridded models for best fit regarding annual average rainfall estimates for Ethiopia. A cross-validation based on 107 long-term monthly NMAE station data (National Meteorological Agency of Ethiopia), terrain data (altitude, aspect, slope), NDVI and temperature data resulted in a best RMSE fit (error of differences between values predicted and observed) by using CHIRPS geospatial modelling framework. The model combines 0.05 degree resolution satellite imagery with in-situ station data to create gridded rainfall time series for trend analysis and the seasonal drought monitoring.
For improved reading, the map contains various geographic feature classes derived from a
wide range of individual data sources: Open Street Map data from https://osmaxx.hsr.ch,
terrain features (e.g. mountain peaks, contour lines, hillshade) derived from
https://www.eorc.jaxa.jp/ALOS/en/aw3d30/index.htm. Please ignore the slivers along the model boundaries and use the scale bar for measurements on the map when resized
to scales other than the original A0 pdf-format! The detailed 1:1,000,000 or 1:500,000
Thematic Overview Map Series best suits the needs of regional/national project management and policy advice.
Item Type: |
Audiovisual Material & Event (Map) |
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Division/Institute: |
10 Strategic Research Centers > Centre for Development and Environment (CDE) |
UniBE Contributor: |
Hurni, Kaspar, Krauer, Jürg, Gämperli, Ursula Rita, Fries, Matthias, Würsch, Lukas Franz |
Subjects: |
500 Science 500 Science > 550 Earth sciences & geology |
Publisher: |
Centre for Development and Environment |
Funders: |
[97] Swiss Agency for Development and Cooperation |
Projects: |
[436] Water and Land Resource Centre Project Official URL |
Language: |
English |
Submitter: |
Ursula Gämperli Krauer |
Date Deposited: |
18 Sep 2019 07:48 |
Last Modified: |
05 Dec 2022 15:30 |
BORIS DOI: |
10.7892/boris.133131 |
URI: |
https://boris.unibe.ch/id/eprint/133131 |
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