dc.identifier.uri |
http://dx.doi.org/10.15488/3459 |
|
dc.identifier.uri |
http://www.repo.uni-hannover.de/handle/123456789/3489 |
|
dc.contributor.author |
Luetkemeier, Robert
|
|
dc.contributor.author |
Stein, Lina
|
|
dc.contributor.author |
Drees, Lukas
|
|
dc.contributor.author |
Müller, Hannes
|
|
dc.contributor.author |
Liehr, Stefan
|
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dc.date.accessioned |
2018-06-08T12:22:38Z |
|
dc.date.available |
2018-06-08T12:22:38Z |
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dc.date.issued |
2018 |
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dc.identifier.citation |
Luetkemeier, R.; Stein, L.; Drees, L.; Müller, H.; Liehr, S.: Uncertainty of rainfall products: Impact on modelling household nutrition from rain-fed agriculture in Southern Africa. In: Water (Switzerland) 10 (2018), Nr. 4, 499. DOI: https://doi.org/10.3390/w10040499 |
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dc.description.abstract |
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. |
eng |
dc.language.iso |
eng |
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dc.publisher |
Basel : MDPI AG |
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dc.relation.ispartofseries |
Water 10 (2018), Nr. 4 |
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dc.rights |
CC BY 4.0 Unported |
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dc.rights.uri |
https://creativecommons.org/licenses/by/4.0/ |
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dc.subject |
Food security |
eng |
dc.subject |
Model uncertainty |
eng |
dc.subject |
Remote sensing |
eng |
dc.subject |
Satellite rainfall estimates |
eng |
dc.subject |
Subsistence agriculture |
eng |
dc.subject |
Crops |
eng |
dc.subject |
Food supply |
eng |
dc.subject |
Nutrition |
eng |
dc.subject |
Remote sensing |
eng |
dc.subject |
Soil moisture |
eng |
dc.subject |
Time series |
eng |
dc.subject |
Uncertainty analysis |
eng |
dc.subject |
Weather forecasting |
eng |
dc.subject |
Food security |
eng |
dc.subject |
Humanitarian assistances |
eng |
dc.subject |
Meteorological station |
eng |
dc.subject |
Model uncertainties |
eng |
dc.subject |
Rain fed agriculture |
eng |
dc.subject |
Remaining differences |
eng |
dc.subject |
Satellite rainfalls |
eng |
dc.subject |
Subsistence agriculture |
eng |
dc.subject |
Rain |
eng |
dc.subject |
agricultural modeling |
eng |
dc.subject |
calibration |
eng |
dc.subject |
diet |
eng |
dc.subject |
food security |
eng |
dc.subject |
household survey |
eng |
dc.subject |
modeling |
eng |
dc.subject |
nutrition |
eng |
dc.subject |
precipitation assessment |
eng |
dc.subject |
rainfall |
eng |
dc.subject |
rainfed agriculture |
eng |
dc.subject |
remote sensing |
eng |
dc.subject |
satellite data |
eng |
dc.subject |
subsistence agriculture |
eng |
dc.subject |
time series |
eng |
dc.subject |
uncertainty analysis |
eng |
dc.subject |
Angola |
eng |
dc.subject |
Cuvelai-Etosha Basin |
eng |
dc.subject |
Namibia |
eng |
dc.subject.ddc |
333,7 | Natürliche Ressourcen, Energie und Umwelt
|
ger |
dc.subject.ddc |
551 | Geologie, Hydrologie, Meteorologie
|
ger |
dc.title |
Uncertainty of rainfall products: Impact on modelling household nutrition from rain-fed agriculture in Southern Africa |
eng |
dc.type |
Article |
|
dc.type |
Text |
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dc.relation.issn |
2073-4441 |
|
dc.relation.doi |
https://doi.org/10.3390/w10040499 |
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dc.bibliographicCitation.issue |
4 |
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dc.bibliographicCitation.volume |
10 |
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dc.bibliographicCitation.firstPage |
499 |
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dc.description.version |
publishedVersion |
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tib.accessRights |
frei zug�nglich |
|