Wind Forecasting Based on the HARMONIE Model and Adaptive Finite Elements

Oliver, Albert; Rodríguez, Eduardo; Escobar, J. M.; Montero, G.; Hortal, Mariano; Calvo, Javier Bartolome; Cascón, J.M.; Montenegro, R.

doi:10.1007/s00024-014-0913-9

Cited by 10 publications

(8 citation statements)

References 28 publications

(26 reference statements)

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“…A downscaling wind model uses the prediction of a Numerical Weather Prediction (NWP) model as input wind field to compute a new one in a higher resolution mesh that better captures the terrain features. In this paper, the downscaling wind model is Wind3D [4,5,6,7], a diagnostic mass-consistent wind model, coupled with two different NWP models; specifically the European Centre for Medium-Range Weather Forecasts (ECMWF) model [8] and the HARMONIE-AROME model [9].…”

Section: Evolution (De) and A Rebirth Operator (Ro)mentioning

confidence: 99%

“…To provide the model with predictive capacity, we downscaled the results from a mesoscale numerical weather prediction model. Specifically, the mesoscale models considered in this paper are the ECMWF and the HARMONIE-AROME models, as proposed in Oliver et al [7]. The HARMONIE-AROME non-hydrostatic convection permitting model is a particular configuration of the ALADIN-HIRLAM shared system resulting from the collaboration between ALADIN and HIRLAM Consortia.…”

Section: Mesoscale Numerical Weather Prediction Modelmentioning

confidence: 99%

“…The wind data can come from measurement stations or a numerical weather prediction system. In this work, we will use the HARMONIE-AROME forecast wind field, as proposed by Oliver et al [7]. Using these data, we construct the interpolated wind field, u 0 in two steps: first, a horizontal interpolation and, then, a vertical extrapolation.…”

Section: Construction Of the Interpolated Wind Fieldmentioning

confidence: 99%

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Optimisation technique for improving wind downscaling results by estimating roughness parameters

Montero¹,

Rodríguez²,

Oliver³

et al. 2018

Journal of Wind Engineering and Industrial Aerodynamics

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The characterisation of the aerodynamic roughness length (z 0) and the displacement height (d) is critical when modelling the wind field using the log vertical profile. It is known that the values of these parameters depend on land coverage and weather conditions. Thus, many authors have studied their relationship, providing typical values for each land cover. In this paper, we have performed a comprehensive literature review to collect the intervals of z 0 and d values for each land coverage. Using these intervals, we estimate their values using an optimisation technique that improves the results of a downscaling wind model. The downscaling model is a 3D adaptive, mass-consistent finite element model (Wind3D) that takes values from the HARMONIE-AROME or ECMWF mesoscale numerical weather prediction models. The optimisation is carried out by a memetic algorithm that combines the Differential Evolution method, a rebirth operator and the L-BFGS-B algorithm. The fitness function to be minimised is the root mean square error (RMSE) against observed wind data. This fast procedure allows updating the aerodynamic parameters for any weather condition. Numerical experiments have been carried out to show the performance of the methodology.

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Section: Evolution (De) and A Rebirth Operator (Ro)mentioning

confidence: 99%

Section: Mesoscale Numerical Weather Prediction Modelmentioning

confidence: 99%

Section: Construction Of the Interpolated Wind Fieldmentioning

confidence: 99%

See 1 more Smart Citation

Optimisation technique for improving wind downscaling results by estimating roughness parameters

Montero¹,

Rodríguez²,

Oliver³

et al. 2018

Journal of Wind Engineering and Industrial Aerodynamics

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“…The wind field is computed interpolating the results from the WRF-ARW simulation, and using a massconsistent model (Oliver, 2015). Once the wind field is computed the plume rise has to be taken into account.…”

Section: Finite Element Modelmentioning

confidence: 99%

Simulating large emitters using CMAQ and a local scale finite element model. Analysis of the surroundings of Barcelona

Oliver

Arasa²,

Foguet

et al. 2017

IJEP

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In this work, we compare two state of the art models to simulate large emitters in the local scale. The area of study is in the surroundings of Barcelona, where an important contributor to the SO2 levels is considered. The first modelling system uses the mesoscale meteorological model WRF-ARW, the Air Emission Model of Meteosim, AEMM, and the air quality model CMAQ. The second model is a one way nesting of the results from the first system in a subgrid Finite Element model; the results from the CMAQ simulation are used as initial and boundary conditions. The simulations have been carried out for one episode with high levels of SO2. The time period of the simulations is of 48h with a 24h spin-up.

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“…We know that the general direction of the wind field is from East to West (from sea to the island). To generate a more realistic wind field, we use a mass‐consistent wind model() that assumes constant density and verifies the continuity equation (mass conservation) in the domain and impermeability on the terrain.…”

Section: Examplesmentioning

confidence: 99%

Insertion of triangulated surfaces into a meccano tetrahedral discretization by means of mesh refinement and optimization procedures

Ruiz‐Gironés

Oliver

Socorro-Marrero

et al. 2017

Numerical Meth Engineering

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This is the peer reviewed version of the following article: Ruiz Gironès , E., Oliver , A., Socorro, G., Cascón, J., Escobar, J.M., Montenegro, R., Sarrate, J. Insertion of triangulated surfaces into a meccano tetrahedral discretization by means of mesh refinement and optimization procedures. "International journal for numerical methods in engineering", 2018, which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1002/nme.5706/pdf. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.In this paper, we present a new method for inserting several triangulated surfaces into an existing tetrahedral mesh generated by the meccano method. The result is a conformal mesh where each inserted surface is approximated by a set of faces of the final tetrahedral mesh. First, the tetrahedral mesh is refined around the inserted surfaces to capture their geometric features. Second, each immersed surface is approximated by a set of faces from the tetrahedral mesh. Third, following a novel approach, the nodes of the approximated surfaces are mapped to the corresponding immersed surface. Fourth, we untangle and smooth the mesh by optimizing a regularized shape distortion measure for tetrahedral elements in which we move all the nodes of the mesh, restricting the movement of the edge and surface nodes along the corresponding entity they belong to. The refining process allows approximating the immersed surface for any initial meccano tetrahedral mesh. Moreover, the proposed projection method avoids computational expensive geometric projections. Finally, the applied simultaneous untangling and smoothing process delivers a high-quality mesh and ensures that the immersed surfaces are interpolated. Several examples are presented to assess the properties of the proposed method.Peer ReviewedPostprint (author's final draft

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Wind Forecasting Based on the HARMONIE Model and Adaptive Finite Elements

Cited by 10 publications

References 28 publications

Optimisation technique for improving wind downscaling results by estimating roughness parameters

Optimisation technique for improving wind downscaling results by estimating roughness parameters

Simulating large emitters using CMAQ and a local scale finite element model. Analysis of the surroundings of Barcelona

Insertion of triangulated surfaces into a meccano tetrahedral discretization by means of mesh refinement and optimization procedures

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