EGU21-8751
https://doi.org/10.5194/egusphere-egu21-8751
EGU General Assembly 2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Remote sensing of atmospheric winds using an infrared all-sky imager

Frederik Kurzrock1, Louis-Etienne Boudreault1, Maria Reinhardt2, Sybille Y. Schoger2, Roland Potthast2, Quentin Millerioux1, and Nicolas Schmutz1
Frederik Kurzrock et al.
  • 1Reuniwatt, Sainte Clotilde, France (frederik.kurzrock@reuniwatt.com)
  • 2Deutscher Wetterdienst, Offenbach, Germany

The motion of clouds at a given location can be detected using ground-based all-sky imagers that frequently acquire images of the sky dome. Motion flow is used for minute-scale forecasting of cloud cover and solar irradiance, for example in the case of forecasting photovoltaic power production. While visible-range sky cameras are often applied for this purpose, they neither allow to detect the altitude of clouds, nor accurately detect clouds at night time. However, thermal-infrared all-sky imagers, such as Reuniwatt’s Sky InSight, retrieve brightness temperatures with constant accuracy at day and night time. This allows for the retrieval of diverse cloud parameters such as cloud base height. Atmospheric wind vectors can be derived and geolocalised by combining cloud motion detection and cloud-base height retrieval. In this study, we evaluate the accuracy of atmospheric wind vector retrievals by the means of the Sky InSight. Radiosoundings and wind profiler observations are used as a reference.

How to cite: Kurzrock, F., Boudreault, L.-E., Reinhardt, M., Schoger, S. Y., Potthast, R., Millerioux, Q., and Schmutz, N.: Remote sensing of atmospheric winds using an infrared all-sky imager, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-8751, https://doi.org/10.5194/egusphere-egu21-8751, 2021.

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