Zobrazeno 1 - 10
of 137
pro vyhledávání: '"Francesc Rocadenbosch"'
Publikováno v:
Remote Sensing, Vol 15, Iss 10, p 2660 (2023)
We revisit two recent methodologies based on Monin–Obukhov Similarity Theory (MOST), the 2D method and Hybrid-Wind (HW), which are aimed at estimation of the Obukhov length, friction velocity and kinematic heat flux within the surface layer. Both m
Externí odkaz:
https://doaj.org/article/28760fc4b77c4f1b84797313be8f14f1
Publikováno v:
Remote Sensing, Vol 15, Iss 6, p 1478 (2023)
This work presents an analytical formulation to assess the six-degrees-of-freedom-motion-induced error in floating Doppler wind LiDARs (FDWLs). The error products derive from the horizontal wind speed bias and apparent turbulence intensity. Departing
Externí odkaz:
https://doaj.org/article/c9803b23feca49bb919a73e7a7ed4630
Publikováno v:
Remote Sensing, Vol 14, Iss 19, p 4704 (2022)
An enhanced filter for floating Doppler wind lidar motion correction is presented. The filter relies on an unscented Kalman filter prototype for floating-lidar motion correction without access to the internal line-of-sight measurements of the lidar.
Externí odkaz:
https://doaj.org/article/4224f0ccdcf9428fac5b74016b520423
Autor:
Marcos Paulo Araújo da Silva, Francesc Rocadenbosch, Joan Farré-Guarné, Andreu Salcedo-Bosch, Daniel González-Marco, Alfredo Peña
Publikováno v:
Remote Sensing, Vol 14, Iss 6, p 1394 (2022)
This work presents a parametric-solver algorithm for estimating atmospheric stability and friction velocity from floating Doppler wind lidar (FDWL) observations close to the mast of IJmuiden in the North Sea. The focus of the study was two-fold: (i)
Externí odkaz:
https://doaj.org/article/e0284ef375214b81931eed70c6dee7ff
Publikováno v:
Remote Sensing, Vol 13, Iss 20, p 4167 (2021)
This study presents a new method for correcting the six degrees of freedom motion-induced error in ZephIR 300 floating Doppler Wind-LiDAR-derived data, based on a Robust Adaptive Unscented Kalman Filter. The filter takes advantage of the known floati
Externí odkaz:
https://doaj.org/article/44535620a0874283b5225e0176f9a96a
Autor:
Andreu Salcedo-Bosch, Francesc Rocadenbosch, Miguel A. Gutiérrez-Antuñano, Jordi Tiana-Alsina
Publikováno v:
Sensors, Vol 21, Iss 4, p 1310 (2021)
This work proposes a new wave-period estimation (L-dB) method based on the power-spectral-density (PSD) estimation of pitch and roll motional time series of a Doppler wind lidar buoy under the assumption of small angles (±22 deg) and slow yaw drifts
Externí odkaz:
https://doaj.org/article/2cbc3e886fdb4ddda8237096a004fa67
Publikováno v:
Sensors, Vol 15, Iss 2, Pp 3650-3670 (2015)
Spray drift is one of the main sources of pesticide contamination. For this reason, an accurate understanding of this phenomenon is necessary in order to limit its effects. Nowadays, spray drift is usually studied by using in situ collectors which on
Externí odkaz:
https://doaj.org/article/fe75e8224d1a46218c5906e73319d5d9
Publikováno v:
Remote Sensing, Vol 10, Iss 12, p 2037 (2018)
This work presents a new methodology to estimate the motion-induced standard deviation and related turbulence intensity on the retrieved horizontal wind speed by means of the velocity-azimuth-display algorithm applied to the conical scanning pattern
Externí odkaz:
https://doaj.org/article/7b0232bac09941349acc71977a1b6344
Autor:
Adolfo Comerón, Alejandro Rodríguez-Gómez, Michaël Sicard, Rubén Barragán, Constantino Muñoz-Porcar, Francesc Rocadenbosch, María José Granados-Muñoz
Publikováno v:
Sensors, Vol 18, Iss 6, p 1807 (2018)
We propose a new method for calculating the volume depolarization ratio of light backscattered by the atmosphere and a lidar system that employs an auxiliary telescope to detect the depolarized component. It takes into account the possible error in t
Externí odkaz:
https://doaj.org/article/231c380a99ff4da8a42c8354e2b528b2
Autor:
Alejandro Rodríguez-Gómez, Michaël Sicard, María-José Granados-Muñoz, Enis Ben Chahed, Constantino Muñoz-Porcar, Rubén Barragán, Adolfo Comerón, Francesc Rocadenbosch, Eric Vidal
Publikováno v:
Sensors, Vol 17, Iss 12, p 2957 (2017)
A new architecture for the measurement of depolarization produced by atmospheric aerosols with a Raman lidar is presented. The system uses two different telescopes: one for depolarization measurements and another for total-power measurements. The sys
Externí odkaz:
https://doaj.org/article/efba078923f44e069eef9423ceec27f5