Retrieving Monin-Obukhov Dimensionless Wind Shear And Stability From Floating Lidar Observations

Araujo Da Silva; F. Rocadenbosch; A. Salcedo-Bosch; A. Pena

doi:10.1109/IGARSS52108.2023.10283328

Retrieving Monin-Obukhov Dimensionless Wind Shear And Stability From Floating Lidar Observations

Araujo Da Silva^*
, F. Rocadenbosch^*
, A. Salcedo-Bosch
, A. Pena

^*Corresponding author for this work

Polytechnic University of Catalonia

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

Floating-lidar-derived wind profiles are used to retrieve the vertical wind speed gradient, dimensionless wind shear, and dimensionless stability using Monin-Obukhov similarity theory (MOST) in the context of IJmuiden campaign. Reference retrievals are obtained by applying the same methodology to metmast-derived wind profiles. Wind gradient estimates from floating lidar measurements are successfully compared to those from the reference metmast at three different heights, yielding coefficients of determination higher than ρ² = 0.83. MOST flux relationships are also re-encountered when representing the dimensionless wind shear estimates as a function of dimensionless stability.

Original language	English
Title of host publication	Proceedings of IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
Number of pages	4
Publisher	IEEE
Publication date	2023
Pages	3870-3873
ISBN (Electronic)	979-8-3503-2010-7
DOIs	https://doi.org/10.1109/IGARSS52108.2023.10283328
Publication status	Published - 2023
Event	2023 IEEE International Geoscience and Remote Sensing Symposium - Pasadena Convention Center, Pasadena, United States Duration: 16 Jul 2023 → 21 Jul 2023 Conference number: 43

Conference

Conference	2023 IEEE International Geoscience and Remote Sensing Symposium
Number	43
Location	Pasadena Convention Center
Country/Territory	United States
City	Pasadena
Period	16/07/2023 → 21/07/2023

Series	IEEE International Geoscience and Remote Sensing Symposium Proceedings
ISSN	2153-6996

Keywords

Floating lidar
Dimensionless wind shear
Wind gradient
Dimensionless stability

Access to Document

10.1109/IGARSS52108.2023.10283328

OpenUrl availability

Check availability in DTU Findit

Cite this

@inproceedings{773bd738fc944a53b86e7201bc23f93e,

title = "Retrieving Monin-Obukhov Dimensionless Wind Shear And Stability From Floating Lidar Observations",

abstract = "Floating-lidar-derived wind profiles are used to retrieve the vertical wind speed gradient, dimensionless wind shear, and dimensionless stability using Monin-Obukhov similarity theory (MOST) in the context of IJmuiden campaign. Reference retrievals are obtained by applying the same methodology to metmast-derived wind profiles. Wind gradient estimates from floating lidar measurements are successfully compared to those from the reference metmast at three different heights, yielding coefficients of determination higher than ρ2 = 0.83. MOST flux relationships are also re-encountered when representing the dimensionless wind shear estimates as a function of dimensionless stability.",

keywords = "Floating lidar, Dimensionless wind shear, Wind gradient, Dimensionless stability",

author = "\{Da Silva\}, Araujo and F. Rocadenbosch and A. Salcedo-Bosch and A. Pena",

year = "2023",

doi = "10.1109/IGARSS52108.2023.10283328",

language = "English",

series = "IEEE International Geoscience and Remote Sensing Symposium Proceedings",

publisher = "IEEE",

pages = "3870--3873",

booktitle = "Proceedings of IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium",

address = "United States",

note = "2023 IEEE International Geoscience and Remote Sensing Symposium , IGARSS ; Conference date: 16-07-2023 Through 21-07-2023",

}

Da Silva, A, Rocadenbosch, F, Salcedo-Bosch, A & Pena, A 2023, Retrieving Monin-Obukhov Dimensionless Wind Shear And Stability From Floating Lidar Observations. in Proceedings of IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium. IEEE, IEEE International Geoscience and Remote Sensing Symposium Proceedings, pp. 3870-3873, 2023 IEEE International Geoscience and Remote Sensing Symposium , Pasadena, California, United States, 16/07/2023. https://doi.org/10.1109/IGARSS52108.2023.10283328

Retrieving Monin-Obukhov Dimensionless Wind Shear And Stability From Floating Lidar Observations. / Da Silva, Araujo; Rocadenbosch, F.; Salcedo-Bosch, A. et al.
Proceedings of IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2023. p. 3870-3873 (IEEE International Geoscience and Remote Sensing Symposium Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

TY - GEN

T1 - Retrieving Monin-Obukhov Dimensionless Wind Shear And Stability From Floating Lidar Observations

AU - Da Silva, Araujo

AU - Rocadenbosch, F.

AU - Salcedo-Bosch, A.

AU - Pena, A.

N1 - Conference code: 43

PY - 2023

Y1 - 2023

N2 - Floating-lidar-derived wind profiles are used to retrieve the vertical wind speed gradient, dimensionless wind shear, and dimensionless stability using Monin-Obukhov similarity theory (MOST) in the context of IJmuiden campaign. Reference retrievals are obtained by applying the same methodology to metmast-derived wind profiles. Wind gradient estimates from floating lidar measurements are successfully compared to those from the reference metmast at three different heights, yielding coefficients of determination higher than ρ2 = 0.83. MOST flux relationships are also re-encountered when representing the dimensionless wind shear estimates as a function of dimensionless stability.

AB - Floating-lidar-derived wind profiles are used to retrieve the vertical wind speed gradient, dimensionless wind shear, and dimensionless stability using Monin-Obukhov similarity theory (MOST) in the context of IJmuiden campaign. Reference retrievals are obtained by applying the same methodology to metmast-derived wind profiles. Wind gradient estimates from floating lidar measurements are successfully compared to those from the reference metmast at three different heights, yielding coefficients of determination higher than ρ2 = 0.83. MOST flux relationships are also re-encountered when representing the dimensionless wind shear estimates as a function of dimensionless stability.

KW - Floating lidar

KW - Dimensionless wind shear

KW - Wind gradient

KW - Dimensionless stability

U2 - 10.1109/IGARSS52108.2023.10283328

DO - 10.1109/IGARSS52108.2023.10283328

M3 - Article in proceedings

T3 - IEEE International Geoscience and Remote Sensing Symposium Proceedings

SP - 3870

EP - 3873

BT - Proceedings of IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium

PB - IEEE

T2 - 2023 IEEE International Geoscience and Remote Sensing Symposium

Y2 - 16 July 2023 through 21 July 2023

ER -

Da Silva A, Rocadenbosch F, Salcedo-Bosch A, Pena A. Retrieving Monin-Obukhov Dimensionless Wind Shear And Stability From Floating Lidar Observations. In Proceedings of IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium. IEEE. 2023. p. 3870-3873. (IEEE International Geoscience and Remote Sensing Symposium Proceedings). doi: 10.1109/IGARSS52108.2023.10283328

Retrieving Monin-Obukhov Dimensionless Wind Shear And Stability From Floating Lidar Observations

Abstract

Conference

Keywords

Access to Document

OpenUrl availability

Fingerprint

Cite this