Alouette van Hove

Doctoral Research Fellow - Section of Physical geography and Hydrology
Image of Alouette van Hove
Norwegian version of this page
Room 329B
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Visiting address Sem Sælands vei 1 Geologibygningen 0371 Oslo
Postal address Postboks 1047 Blindern 0316 Oslo
Other affiliations Faculty of Mathematics and Natural Sciences (Student)

Academic interests

The development of a novel framework to estimate land surface fluxes at a regional scale. The framework will make use of sensor measurements from drones, data assimilation, atmospheric fluid dynamics modeling, and reinforcement learning techniques. The objective of the project is to deliver high-resolution surface maps of greenhouse gas fluxes in northern landscapes for validation of climate models.

Background

  • Since  2021: Doctoral Research Fellow, University of Oslo
  • 2015 - 2018: MSc ‘Aerodynamics’, Delft University of Technology
  • 2011 - 2014: BSc ‘Soil, Water, Atmosphere’, Wageningen University

Publications

  • van Hove, Alouette; Aalstad, Kristoffer & Pirk, Norbert (2023). Using reinforcement learning to improve drone-based inference of greenhouse gas fluxes. Nordic Machine Intelligence (NMI). ISSN 2703-9196. 3, p. 1–6. doi: 10.5617/nmi.9897. Full text in Research Archive
  • Pirk, Norbert; Aalstad, Kristoffer; Westermann, Sebastian; Vatne, Astrid; van Hove, Alouette & Tallaksen, Lena Merete [Show all 8 contributors for this article] (2022). Inferring surface energy fluxes using drone data assimilation in large eddy simulations. Atmospheric Measurement Techniques. ISSN 1867-1381. 15(24), p. 7293–7314. doi: 10.5194/amt-15-7293-2022. Full text in Research Archive

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Published Sep. 17, 2021 11:32 AM - Last modified Nov. 28, 2022 1:02 PM