TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Barry, James
A1  - Herman-Czezuch, Anna
A1  - Kimiaie, Nicola
A1  - Meilinger, Stefanie
A1  - Schirrmeister, Christopher
A1  - Grabenstein, Johannes
A1  - Pfeilsticker, Klaus
A1  - Emde, Claudia
A1  - Gödde, Felix
A1  - Mayer, Bernhard
A1  - Deneke, Hartwig
A1  - Witthuhn, Jonas
A1  - Scheck, Leonhard
A1  - Schroedter-Homscheidt, Marion
A1  - Hofbauer, Philipp
A1  - Struck, Matthias
T1  - Irradiance and cloud optical properties from photovoltaic power data
T2  - D-A-CH MeteorologieTagung, 21. bis 25. März 2022 in Leipzig
N2  - The rapid increase in solar photovoltaic (PV) installations worldwide has resulted in the electricity grid becoming increasingly dependent on atmospheric conditions, thus requiring more accurate forecasts of incoming solar irradiance. In this context, measured data from PV systems are a valuable source of information about the optical properties of the atmosphere, in particular the cloud optical depth (COD). This work reports first results from an inversion algorithm developed to infer global, direct and diffuse irradiance as well as atmospheric optical properties from PV power measurements, with the goal of assimilating this information into numerical weather prediction (NWP) models.
UN  - https://nbn-resolving.org/urn:nbn:de:hbz:1044-opus-60638
U6  - https://doi.org/10.5194/dach2022-298
DO  - https://doi.org/10.5194/dach2022-298
PB  - Copernicus GmbH
ER  -