A comparison of WRF model simulations with SAR wind data in two case studies of orographic lee waves over the Eastern Mediterranean Sea

Miglietta, Mario Marcello; Zecchetto, S.; Biasio, Francesco De

doi:10.1016/j.atmosres.2012.08.009

Cited by 25 publications

(19 citation statements)

References 56 publications

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“…The WRF‐ARW simulations are carried out through a set of parameters based on microphysics, convection, turbulence, surface processes, boundary layer processes and radiation. In the present study, the employed parameters (Table ) were based on other studies that showed satisfactory results for wind speeds and direction (Miglietta et al ., ; Ramos et al ., ; González‐Mingueza and Muñoz‐Gutiérrez, )…”

Section: Methodsmentioning

confidence: 99%

“…The WRF-ARW simulations are carried out through a set of parameters based on microphysics, convection, turbulence, surface processes, boundary layer processes and radiation. In the present study, the employed parameters (Table 3) were based on other studies that showed satisfactory results for wind speeds and direction (Miglietta et al, 2013;Ramos et al, 2013;González-Mingueza and Muñoz-Gutiérrez, 2014) Fifty vertical levels were used in all domains. The initial and boundary conditions for the simulations of the WRF model were obtained through the Global Final (FNL) data from NCEP, with a horizontal spacing of 1.…”

Section: Mesoscale Model: Wrfmentioning

confidence: 99%

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Assessment of wind resources in two parts of Northeast Brazil with the use of numerical models

Santos

Silva

Lemos³

et al. 2016

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ABSTRACT:A study was conducted to quantify the wind resources in two locations (municipalities of Paracuru and Triunfo) with different topographical conditions (flat and complex) in the Northeast Region of Brazil (NEB). To this end, data collected in situ with anemometer towers and a simulation of the mesoscale numerical Weather Research and Forecasting (WRF) model were used. These served as initial conditions for simulations of the microscale numerical model from the Wind Atlas Analysis and Application Program (WAsP). The WAsP model enabled estimation of the annual wind potential and its power density, both through measured and simulated input data (WRF). Wind speed fields and the average direction of the wind, parameters of the Weibull probability density function (an estimate of the mean annual power density and wind potential), were used to compare the simulations and the observations. The results show that both locations, Paracuru and Triunfo, have a favourable annual wind potential for the implementation of wind farm projects. The power density estimated through measured and simulated data exceeded 400 W m −2 at heights of 60 and 50 m above the ground.

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Section: Methodsmentioning

confidence: 99%

Section: Mesoscale Model: Wrfmentioning

confidence: 99%

Assessment of wind resources in two parts of Northeast Brazil with the use of numerical models

Santos

Silva

Lemos³

et al. 2016

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“…This means that InSAR cannot observe over water body areas like lakes and oceans, which is one of the disadvantages of the InSAR observation. On the contrary, the sea surface wind-retrieval technique by the use of SAR SLC data can retrieve footprints of trapped lee waves that extend toward near the sea surface (e.g., Miglietta et al 2013). This technique complements unobservable areas of InSAR.…”

Section: Discussionmentioning

confidence: 99%

“…) dU 2 /dz 2 using radiosonde observation data, which is an indicator of the mountain-induced gravity wave behavior (Miglietta et al 2013). Resonant lee waves will develop if l 2 decrease rapidly with height (Scorer 1949;Doyle and Smith 2003).…”

Section: Synoptic Conditionsmentioning

confidence: 99%

Detections and simulations of tropospheric water vapor fluctuations due to trapped lee waves by ALOS-2/PALSAR-2 ScanSAR interferometry

Kinoshita

Morishita

Hirabayashi

2017

Earth Planets Space

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Detailed wave-like spatial patterns of atmospheric propagation delay signals associated with mountain lee waves were detected in Hokkaido and Tohoku by synthetic aperture radar (SAR) interferometry (InSAR) with the ScanSAR mode observation data of a Phased Array-type L-band Synthetic Aperture Radar 2 on board the Advanced Land Observing Satellite 2. Both cases occurred under stable atmosphere conditions. The InSAR-observed peak-to-trough line of sight changes in the mountain wave signals was 4 and 5 cm with the horizontal wavelengths of 9 and 15 km in Hokkaido and Tohoku, respectively. Locations of positive phase maxima in the mountain wave signals coincides with locations of cloud streets observed by visible satellite imagery, indicating that crests of mountain waves contain relatively much water vapor compared with wave troughs. Numerical weather simulations with the horizontal grid spacing of 1 km were performed to reproduce InSAR phase variations, and as a result those simulations could reasonably reproduce observed wave amplitudes and wavelengths in both cases. On the other hand, numerical simulations tended to overestimate wave attenuation rates: simulated mountain waves decreased as the wave propagated faster than those of observed signals. Because the simulated wave attenuation rate is sensitive to physics in the planetary boundary layer (PBL), we investigated the reproducibility of five PBL schemes implemented in the WRF model. As a result, all the PBL schemes showed little attenuation except for the Yonsei University scheme (YSU), while the wavelength in the YSU was most close to the observation. Our study demonstrated the uniqueness and usefulness of InSAR for meteorological application as the ability to map the detailed water vapor distribution regardless of cloud cover. In addition, the reasonable reproducibility of the water vapor delay signal due to lee waves by the numerical weather model encourages researchers who tackle the correction of the tropospheric propagation delay, increasing the accuracy in detecting surface deformations.

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“…This coupling corresponds to a one‐way nesting between the WRF model and the actual LES code (Rizza et al , ). Actually, the authors are aware of relatively few studies of the PBL using the WRF model in Mediterranean coastal and offshore domains (e.g., De Tomasi et al , ; Miglietta et al , ).…”

Section: The Large‐eddy Modelmentioning

confidence: 99%

Large‐eddy simulation of an offshore Mediterranean area

Rizza

Miglietta

Sempreviva

et al. 2013

Meteorological Applications

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ABSTRACT:The aim of this study is to gain further understanding of the structure of the marine atmospheric boundary layer (MABL) and its interaction with synoptic-scale forcing. A possible application of this study is to simulate mean and turbulent spatial and temporal structure of the marine boundary layer in order to optimize the structural design of offshore large wind turbines that today reach heights up to 200 m. Large-eddy simulations (LESs) have been performed and compared with offshore experimental data collected during the LASIE campaign performed in the Mediterranean during summer 2007. Two simulations are performed: one where the LES is left free to evolve without any external forcing, and one where a force restoration nudging technique has been implemented in LES in order to force the model to the evolving large-scale situation. Model results have been compared against experimental soundings. Results show that for all the calculated fields the nudged LES outperforms the simulation without nudging, demonstrating that incorporating changes in the large-scale features is necessary in order to provide a realistic evolution of the modelled meteorological fields at local scale. Thus, appropriately nudged LES appears as a promising technique to be applied to the simulation of offshore cases, particularly suitable for wind energy applications.

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A comparison of WRF model simulations with SAR wind data in two case studies of orographic lee waves over the Eastern Mediterranean Sea

Cited by 25 publications

References 56 publications

Assessment of wind resources in two parts of Northeast Brazil with the use of numerical models

Assessment of wind resources in two parts of Northeast Brazil with the use of numerical models

Detections and simulations of tropospheric water vapor fluctuations due to trapped lee waves by ALOS-2/PALSAR-2 ScanSAR interferometry

Large‐eddy simulation of an offshore Mediterranean area

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