2017
DOI: 10.5194/acp-2017-441
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Impact of the 4 April 2014 Saharan dust outbreak on the photovoltaic power generation in Germany

Abstract: <p><strong>Abstract.</strong> The importance for reliable forecasts of incoming solar radiation is growing rapidly, especially for those countries with an increasing share in photovoltaic (PV) power production. The reliability of solar radiation forecasts depends mainly on the representation of clouds and aerosol particles absorbing and scattering radiation. Especially under extreme aerosol conditions, numerical weather prediction has a systematic bias in the solar rad… Show more

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Cited by 8 publications
(11 citation statements)
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“…The dust emission scheme is based on Vogel et al (). It is further improved by Rieger et al () to consider (1) the global availability of soil properties (size distribution and residual soil moisture), (2) the soil dispersion state, and (3) a tile approach used to account for soil type heterogeneity at coarse resolutions. The partitioning of the emitted dust in different modes depends on wind velocity (Vogel et al, ).…”
Section: Methodsmentioning
confidence: 99%
“…The dust emission scheme is based on Vogel et al (). It is further improved by Rieger et al () to consider (1) the global availability of soil properties (size distribution and residual soil moisture), (2) the soil dispersion state, and (3) a tile approach used to account for soil type heterogeneity at coarse resolutions. The partitioning of the emitted dust in different modes depends on wind velocity (Vogel et al, ).…”
Section: Methodsmentioning
confidence: 99%
“…The aerosol-cloud microphysics interaction is not included in this study as it creates a new set of research questions and the focus in this study is on the mineral dust radiation interaction. The combined effects of the mineral dust radiation interaction and its impact on cloud microphysics are investigated and quantified in a separate publication for a different event (Rieger et al, 2017).…”
Section: Model Set-upmentioning
confidence: 99%
“…The model application of this study is accompanied with significant further developments 20 of the emission parameterizations regarding mineral dust (Rieger et al, 2017) and BVOCs (Weimer et al, 2017). Furthermore, a parameterization for trace gas emissions from gas flaring of the oil industry was developed to reproduce the specific pollution conditions of the research area (Deetz and Vogel, 2017). The model domain comprises Ivory Coast, Ghana, Togo, Benin and the Gulf of Guinea (red rectangles in Fig.…”
Section: Model Framework and Setupmentioning
confidence: 99%