Welcome to wavy!


wavy is an open source package (under development) with the aim of easing the task of wave model validation. The user can either choose in-situ observation files or remote sensing files to extract time-series and/or collocate with wave model output.






This project is under active development. I try to keep the documentation pristine. Please do not hesitate to contact me if you experience troubles, have questions, or would like to contribute.



Studies that used wavy

  • Rabault, J., and Coauthors, 2022: Openmetbuoy-v2021: An easy-to-build, affordable, customizable, open-source instrument for oceanographic measurements of drift and waves in sea ice and the open ocean. Geosciences, 12 (3).

  • Breivik, Ø., and Coauthors, 2022: The impact of a reduced high-wind charnock parameter on wave growth with application to the north sea, the norwegian sea and the arctic ocean. Journal of Geophysical Research: Oceans, e2021JC018196.

  • Halsne, T., Bohlinger, P., Christensen, K.H., Carrasco, A., Breivik, Ø., 2022: Resolving regions known for intense wave–current interaction using spectral wave models: A case study in the energetic flow fields of Northern Norway, Ocean Modelling,Volume 176.

  • Thomas, E. E., Müller, M., Bohlinger, P., Batrak, Y., & Szapiro, N., 2021: A Kilometer-Scale Coupled Atmosphere–Wave Forecasting System for the European Arctic. Weather and Forecasting, 36(6), 2087-2099.

Master thesis using wavy

Judith Thu Ølberg, 2023: Wave Measurements Using Ship Mounted Sensors as part of the One Ocean Expedition, University of Bergen, https://hdl.handle.net/11250/3071001.

Indices and tables