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 If you are using **wavy** please mention the repo under https://github.com/bohlinger/wavy and for info from the documentation refer to this page `https://wavyopen.readthedocs.io/ <https://wavyopen.readthedocs.io/en/latest/index.html>`_. Additionally, the collocation methodology should be referred to with the following article: 
 
-* Bohlinger, P., Breivik, Ø., Economou, T., Müller, M.: `A novel approach to computing super observations for probabilistic wave model validation <https://www.sciencedirect.com/science/article/pii/S1463500319300435>`_, Ocean Modelling, 139, `<https://doi.org/10.1016/j.ocemod.2019.101404>`_, 2019.
+* Bohlinger, P., Breivik, Ø., Economou, T., Müller, M. (2019). `A novel approach to computing super observations for probabilistic wave model validation <https://www.sciencedirect.com/science/article/pii/S1463500319300435>`_, Ocean Modelling, 139, `<https://doi.org/10.1016/j.ocemod.2019.101404>`_.
 
 
 Studies that used **wavy**
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-* Ølberg, J.T., Bohlinger, P., Breivik, Ø., and Coauthors, 2024: Wave measurements using open source ship mounted ultrasonic altimeter and motion correction system during the one ocean circumnavigation. Ocean Engineering, 292, https://doi.org/10.1016/j.oceaneng.2023.116586.
-* 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.
-* Bohlinger, P., Breivik, Ø., Economou, T., Müller, M.: `A novel approach to computing super observations for probabilistic wave model validation <https://www.sciencedirect.com/science/article/pii/S1463500319300435>`_, Ocean Modelling, 139, `<https://doi.org/10.1016/j.ocemod.2019.101404>`_, 2019.
+* Altiparmaki, O., Breivik, Ø., Aouf, L., Bohlinger, P., Johannessen, J. A., Collard, F., and Coauthors (2024). Influence of ocean currents on wave modeling and satellite observations: Insights from the one ocean expedition. Journal of Geophysical Research: Oceans, 129, e2024JC021581. https://doi.org/10.1029/2024JC021581
+* Ølberg, J.T., Bohlinger, P., Breivik, Ø., and Coauthors (2024). Wave measurements using open source ship mounted ultrasonic altimeter and motion correction system during the one ocean circumnavigation. Ocean Engineering, 292, https://doi.org/10.1016/j.oceaneng.2023.116586.
+* 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.
+* Bohlinger, P., Breivik, Ø., Economou, T., Müller, M. (2019). `A novel approach to computing super observations for probabilistic wave model validation <https://www.sciencedirect.com/science/article/pii/S1463500319300435>`_, Ocean Modelling, 139, `<https://doi.org/10.1016/j.ocemod.2019.101404>`_.
 
 Master thesis using wavy
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