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Medientyp: Sonstige Veröffentlichung; E-Artikel Titel: Uncertainty of rainfall products: Impact on modelling household nutrition from rain-fed agriculture in Southern Africa Beteiligte: Luetkemeier, Robert [VerfasserIn]; Stein, Lina [VerfasserIn]; Drees, Lukas [VerfasserIn]; Müller, Hannes [VerfasserIn]; Liehr, Stefan [VerfasserIn] Erschienen: Basel : MDPI AG, 2018 Erschienen in: Water 10 (2018), Nr. 4 Ausgabe: published Version Sprache: Englisch DOI: https://doi.org/10.15488/3459; https://doi.org/10.3390/w10040499 ISSN: 2073-4441 Schlagwörter: precipitation assessment ; Rain fed agriculture ; Satellite rainfalls ; Food supply ; Weather forecasting ; Meteorological station ; agricultural modeling ; diet ; Uncertainty analysis ; Rain ; Model uncertainties ; Food security ; Angola ; Time series ; rainfed agriculture ; Remaining differences ; rainfall ; household survey ; satellite data ; Soil moisture ; modeling ; Cuvelai-Etosha Basin ; Humanitarian assistances ; Satellite rainfall estimates ; [...] Entstehung: Anmerkungen: Diese Datenquelle enthält auch Bestandsnachweise, die nicht zu einem Volltext führen. Beschreibung: Good quality data on precipitation are a prerequisite for applications like short-term weather forecasts, medium-term humanitarian assistance, and long-term climate modelling. In Sub-Saharan Africa, however, the meteorological station networks are frequently insufficient, as in the Cuvelai-Basin in Namibia and Angola. This paper analyses six rainfall products (ARC2.0, CHIRPS2.0, CRU-TS3.23, GPCCv7, PERSIANN-CDR, and TAMSAT) with respect to their performance in a crop model (APSIM) to obtain nutritional scores of a household's requirements for dietary energy and further macronutrients. All products were calibrated to an observed time series using Quantile Mapping. The crop model output was compared against official yield data. The results show that the products (i) reproduce well the Basin's spatial patterns, and (ii) temporally agree to station records (r = 0.84). However, differences exist in absolute annual rainfall (range: 154 mm), rainfall intensities, dry spell duration, rainy day counts, and the rainy season onset. Though calibration aligns key characteristics, the remaining differences lead to varying crop model results. While the model well reproduces official yield data using the observed rainfall time series (r = 0.52), the products' results are heterogeneous (e.g., CHIRPS: r = 0.18). Overall, 97% of a household's dietary energy demand is met. The study emphasizes the importance of considering the differences among multiple rainfall products when ground measurements are scarce. © 2018 by the authors. Zugangsstatus: Freier Zugang Rechte-/Nutzungshinweise: Namensnennung (CC BY)