What is she best known for?
The fields of study she is best known for:
- Meteorology
- Statistics
- Mechanical engineering
Meteorology, Wind speed, Wind power, Offshore wind power and Wind profile power law are her primary areas of study.
Her biological study spans a wide range of topics, including Computational fluid dynamics, Wake and Marine engineering.
The study incorporates disciplines such as Probability distribution, Climatology, Magnitude, Climate model and Atmospheric sciences in addition to Wind speed.
Rebecca Jane Barthelmie has included themes like Electricity generation, Climate change mitigation, Renewable energy and Operations management in her Wind power study.
Her research on Offshore wind power concerns the broader Turbine.
Rebecca Jane Barthelmie has researched Wind profile power law in several fields, including Wind shear and Wind direction.
Her most cited work include:
- Analytical modelling of wind speed deficit in large offshore wind farms (454 citations)
- Modelling and measuring flow and wind turbine wakes in large wind farms offshore (357 citations)
- The impact of turbulence intensity and atmospheric stability on power deficits due to wind turbine wakes at Horns Rev wind farm (292 citations)
What are the main themes of her work throughout her whole career to date?
Her main research concerns Meteorology, Offshore wind power, Wind speed, Wind power and Turbine.
The various areas that Rebecca Jane Barthelmie examines in her Meteorology study include Wake, Atmospheric sciences and Terrain.
Rebecca Jane Barthelmie works mostly in the field of Offshore wind power, limiting it down to concerns involving Submarine pipeline and, occasionally, Power output.
Her research integrates issues of Climatology and Remote sensing in her study of Wind speed.
Her studies in Wind power integrate themes in fields like Anemometer, Wind engineering and Renewable energy.
Her Turbine research includes themes of Lidar and Flow, Turbulence kinetic energy.
She most often published in these fields:
- Meteorology (47.08%)
- Offshore wind power (35.39%)
- Wind speed (35.39%)
What were the highlights of her more recent work (between 2016-2021)?
- Turbine (20.13%)
- Wind power (34.09%)
- Meteorology (47.08%)
In recent papers she was focusing on the following fields of study:
Her primary areas of study are Turbine, Wind power, Meteorology, Wind speed and Weather Research and Forecasting Model.
Rebecca Jane Barthelmie combines subjects such as Standard deviation, Mesoscale meteorology, Lidar, Wake and Nameplate capacity with her study of Turbine.
Her study looks at the relationship between Standard deviation and fields such as Statistical physics, as well as how they intersect with chemical problems.
Her Wind power study combines topics from a wide range of disciplines, such as Marine engineering, Submarine pipeline and Seismic analysis.
Her Meteorology research is multidisciplinary, incorporating perspectives in Terrain and Renewable energy.
Her Wind speed research includes themes of Magnitude, Climatology and Rotor.
Between 2016 and 2021, her most popular works were:
- Wind energy research: State-of-the-art and future research directions (57 citations)
- The Perdigão: Peering into Microscale Details of Mountain Winds (46 citations)
- Interannual variability of wind climates and wind turbine annual energy production (18 citations)
In her most recent research, the most cited papers focused on:
- Meteorology
- Statistics
- Mechanical engineering
Her scientific interests lie mostly in Turbine, Meteorology, Wind power, Wake and Terrain.
The concepts of her Turbine study are interwoven with issues in Climatology and Standard deviation.
In her research on the topic of Standard deviation, Offshore wind power is strongly related with Stochastic modelling.
Her Meteorology study frequently links to adjacent areas such as Spatial variability.
Her Wind power research integrates issues from Submarine pipeline and Nameplate capacity.
Rebecca Jane Barthelmie combines subjects such as Anemometer, Wind speed and Remote sensing with her study of Terrain.
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