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Evaluation of satellite-based and model re-analysis rainfall estimates for Uganda

Maidment, R. I., Grimes, D. I. F., Allan, R. P., Greatrex, H., Rojas, O. and Leo, O. (2013) Evaluation of satellite-based and model re-analysis rainfall estimates for Uganda. Meteorological Applications, 20 (3). pp. 308-317. ISSN 1469-8080

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To link to this article DOI: 10.1002/met.1283

Abstract/Summary

The dependence of much of Africa on rain fed agriculture leads to a high vulnerability to fluctuations in rainfall amount. Hence, accurate monitoring of near-real time rainfall is particularly useful, for example in forewarning possible crop shortfalls in drought-prone areas. Unfortunately, ground based observations are often inadequate. Rainfall estimates from satellite-based algorithms and numerical model outputs can fill this data gap, however rigorous assessment of such estimates is required. In this case, three satellite based products (NOAA-RFE 2.0, GPCP-1DD and TAMSAT) and two numerical model outputs (ERA-40 and ERA-Interim) have been evaluated for Uganda in East Africa using a network of 27 rain gauges. The study focuses on the years 2001 to 2005 and considers the main rainy season (February to June). All data sets were converted to the same temporal and spatial scales. Kriging was used for the spatial interpolation of the gauge data. All three satellite products showed similar characteristics and had a high level of skill that exceeded both model outputs. ERA-Interim had a tendency to overestimate whilst ERA-40 consistently underestimated the Ugandan rainfall.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Science > School of Mathematical and Physical Sciences > Department of Meteorology
Interdisciplinary centres and themes > Walker Institute for Climate System Research
Faculty of Science > School of Mathematical and Physical Sciences > NCAS
Faculty of Science > School of Mathematical and Physical Sciences > National Centre for Earth Observation (NCEO)
ID Code:21860
Additional Information:rainfall; Uganda; rainfall estimates; satellite based products; numerical model; kriging
Publisher:Royal Meteorological Society

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