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Satellite Data Assimilation in Regional Numerical Weather Prediction as a Key for Better Cloud Cover Forecasts in Tropical Environments

Authors: Kurzrock, Frederik; Cros, Sylvain; Chane-Ming, Fabrice; Potthast, Roland; Linguet, Laurent; Lajoie, Gilles;

Satellite Data Assimilation in Regional Numerical Weather Prediction as a Key for Better Cloud Cover Forecasts in Tropical Environments

Abstract

Although the high amount of solar irradiance in the tropics is an advantage for a profitable PV production, the local meteorological conditions induce a very high variability which is problematic for a safe and gainful injection into the power grid. This issue is even more critical in non-interconnected territories where network stability is an absolute necessity and the injection of PV power has to be limited. The basis for precise cloud evolution and subsequent irradiance forecasts are high quality atmospheric analyses for NWP. Geostationary meteorological satellites provide valuable observations of cloud properties with high spatio-temporal resolutions and allow a pertinent data assimilation. The shortcoming is that optical and thermal channels of satellite sensors do not provide cloud properties from inside clouds. Different existing data assimilation approaches aim at deriving atmospheric analyses with most realistic cloud features, utilising geostationary satellite observations. The potential of assimilating satellite-derived cloud information in regional NWP with focus on irradiance forecasts in tropical regions has not been evaluated so far. Hence, the present work aims at evaluating the potential of geostationary satellite data assimilation in limited-area models applied to the French tropical oversea territories Reunion Island and French Guiana.

32nd European Photovoltaic Solar Energy Conference and Exhibition; 2318-2321

Country
France
Keywords

[SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, [ SDU.OCEAN ] Sciences of the Universe [physics]/Ocean, Atmosphere, [ INFO.INFO-MO ] Computer Science [cs]/Modeling and Simulation, [SDU.STU.ME] Sciences of the Universe [physics]/Earth Sciences/Meteorology, PV System, [SDU.OCEAN] Sciences of the Universe [physics]/Ocean, Atmosphere, [ SDU.STU.ME ] Sciences of the Universe [physics]/Earth Sciences/Meteorology, [SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology, Operation, Performance, Reliability and Sustainability of Photovoltaics, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, Power plant control, Grid-connected PV systems, Solar Radiation, [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation, Solar Resource and Forecasting, Forecasting

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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