EGU22-8241, updated on 04 May 2023
https://doi.org/10.5194/egusphere-egu22-8241
EGU General Assembly 2022
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Offshore atmospheric stability estimation from floating lidar wind profiles

Marcos Paulo Araujo da Silva1, Francesc Rocadenbosch1,2, Joan Farré-Guarné1, Andreu Salcedo-Bosch1, Daniel González-Marco3,4, and Alfredo Peña5
Marcos Paulo Araujo da Silva et al.
  • 1CommSensLab-UPC, Department of Signal Theory and Communications (TSC), Universitat Politècnica de Catalunya (UPC), Campus Nord, E-08034 Barcelona, Spain (marcos.silva@upc.edu)
  • 2Institute of Space Studies of Catalonia, IEEC, E-08034 Barcelona, Spain (roca@tsc.upc.edu).
  • 3Laboratori d’Enginyeria Marítima, Universitat Politècnica de Catalunya, C/Jordi Girona, 1-3, E-08034, Barcelona, Spain.
  • 4Centre Internacional d’Investigació dels Recursos Costaners (CIIRC), C/Jordi Girona, 1-3, E-08034, Barcelona, Spain.
  • 5DTU Wind Energy, Technical University of Denmark, Frederiksborgvej 399, 4000 Roskilde, Denmark.

In this work, we revisit the 2D parametric-solver algorithm [1] to estimate the Obukhov length, and hence, determine atmospheric stability from floating Doppler wind lidar (FDWL) wind profiles. The algorithm fits the wind-profile model derived from Monin-Obukhov similarity theory to the FDWL-measured wind profile by means of a constrained non-linear least squares optimisation. Observational data were gathered at the IJmuiden test site in the North Sea (52.848 N, 3.436 E) between March and June of 2015. The reference Obukhov length was obtained via bulk Richardson number, which was estimated from IJmuiden-mast observations. Comparisons with the reference stability are performed by using a simplified atmospheric stability classification consisting of only three types, namely stable, neutral and unstable. Fairly similar results were obtained from the 2D-estimated and the mast-derived reference stability classifications for the stability behaviour during the time of day as well as for horizontal-wind-speed dependence on the stability type.

This research is part of the projects PGC2018-094132-B-I00 and MDM-2016-0600 (“CommSensLab” Excellence Unit) funded by Ministerio de Ciencia e Investigación (MCIN)/ Agencia Estatal de Investigación (AEI)/ 10.13039/501100011033/ FEDER “Una manera de hacer Europa”. The work of M.P Araujo da Silva was supported under Grant PRE2018-086054 funded by MCIN/AEI/ 10.13039/501100011033 and FSE “El FSE invierte en tu futuro. The work of A. Salcedo-Bosch was supported under grant 2020 FISDU 00455 funded by Generalitat de Catalunya—AGAUR. The European Commission collaborated under projects H2020 ACTRIS-IMP (GA-871115) and H2020 ATMO-ACCESS (GA-101008004).

[1] M. P. Araujo da Silva, F. Rocadenbosch, J. Farré-Guarné, A. Salcedo-Bosch, D. González-Marco, and A. Peña, “Assessing obukhov length and friction velocity from floating lidar observations: A data screening and sensitivity computation approach,” Remote Sensing, 2022, submitted.

How to cite: Araujo da Silva, M. P., Rocadenbosch, F., Farré-Guarné, J., Salcedo-Bosch, A., González-Marco, D., and Peña, A.: Offshore atmospheric stability estimation from floating lidar wind profiles, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8241, https://doi.org/10.5194/egusphere-egu22-8241, 2022.

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