Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 542064
Title Observational characterization of the Synoptic and Mesoscale circulations in Relation to Crop Dynamics: Belg 2017 in the Gamo Highlands, Ethiopia
Author(s) Minda, T.T.; Molen, M.K. van der; Heusinkveld, B.G.; Struik, P.C.; Vilà-Guerau de Arellano, J.
Source Atmosphere 9 (2018)10. - ISSN 2073-4433 - 24 p.
DOI https://doi.org/10.3390/atmos9100398
Department(s) Meteorology and Air Quality
WIMEK
PE&RC
Crop Physiology
Publication type Refereed Article in a scientific journal
Publication year 2018
Abstract The Gamo Highlands in Ethiopia are characterized by complex topography and lakes. These modulate the mesoscale and synoptic scale weather systems. In this study, we analyzed the temporal and spatial variations in weather as function of topography and season and their impact on potato crop growth. To determine how crop growth varies with elevation, we installed a network of six automatic weather stations along two transects. It covers a 30-km radius and 1800-m elevation difference. We conducted a potato field experiment near the weather stations. We used the weather observations as input for a crop model, GECROS. Data analysis showed large differences between weather in February and May. February is more dominated by mesoscale circulations. The averaged February diurnal patter shows a strong east to southeast lake breezes and, at night, weak localized flows driven by mountain density flows. In contrast, in May, the synoptic flow dominates, interacting with the mesoscale flows. The GECROS model satisfactorily predicted the elevational gradient in crop yield. Model sensitivity experiments showed that belg-averaged precipitation distribution gave the highest yield, followed by exchanging May weather observations with April.
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