A sensitivity study of the WRF model in wind simulation for an area of high wind energy
By D. Carvalho, Alfredo Rocha, Moncho Gómez-Gesteira, Carlos Santos. Environmental Modelling & Software, 2012
316 citations recorded by the source corpus.
Subfields: Atmospheric Science, Environmental Engineering, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/1b6059b20ed7a70714398e84cb12c221c3e70f1f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atmospheric Science
- Y. Tramblay
- N. Al‐Ansari
- P. Lucas‐Picher
- Peter Berg
- Wolfgang Schmid
- C. Caillaud
- Daniel Ambach
- E. Brisson
In Environmental Engineering
In Global and Planetary Change
- Y. Tramblay
- N. Al‐Ansari
- P. Lucas‐Picher
- Peter Berg
- Wolfgang Schmid
- C. Caillaud
- Daniel Ambach
- E. Brisson
Citations in the corpus
- A new high-dimensional time series approach for wind speed, wind direction and air pressure forecasting (2017, background): “One of the most popular NWP approaches is the Weather Research and Forecast (WRF) model (see Carvalho et al., 2012).”
- The Hybridization of Ensemble Empirical Mode Decomposition with Forecasting Models: Application of Short-Term Wind Speed and Power Modeling (2020, background): “In the model-driven approach, abundant meteorological information of distinct physical factors affecting wind energy are required [8].”
- Convection‐permitting modeling with regional climate models: Latest developments and next steps (2021, methodology): “CPRCMs were deemed quite useful to identify regions with high wind energy potential (Carvalho et al., 2012) and where observational coverage could be improved (Jiménez et al.”