- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
The Jensen wind farm parameterization for the WRF and MPAS models ; day:11 ; month:04 ; year:2022 ; pages:1-39 ; extent:39
Wind energy science discussions ; (11.04.2022), 1-39 (gesamt 39)
- Creator
-
Ma, Yulong
Archer, Cristina
Vasel-Be-Hagh, Ahmadreza
- DOI
-
10.5194/wes-2022-19
- URN
-
urn:nbn:de:101:1-2022041405222585850827
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:28 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Ma, Yulong
- Archer, Cristina
- Vasel-Be-Hagh, Ahmadreza
Other Objects (12)
The Jensen wind farm parameterization
Inclusion of the subgrid wake effect between turbines in the wind farm parameterization of WRF
An Updated Parameterization of the Unstable Atmospheric Surface Layer in WRF Modeling System
Local turbulence parameterization improves the Jensen wake model and its implementation for power optimization of an operating wind farm
Machine Learning Parameterization of the Multi-scale Kain-Fritsch (MSKF) Convection Scheme and stable simulation coupled in WRF using WRF-ML v1.0
The WRF greenhouse gas model (WRF-GHG)
The Explicit Wake Parametrisation V1.0: a wind farm parametrisation in the mesoscale model WRF
Tropical cyclone low-level wind speed, shear, and veer: sensitivity to the boundary layer parameterization in WRF
Machine learning parameterization of the multi-scale Kain–Fritsch (MSKF) convection scheme and stable simulation coupled in the Weather Research and Forecasting (WRF) model using WRF–ML v1.0
Improved parameterization of snow albedo in WRF + Noah. Part II: Applicability to snow estimates for the Tibetan Plateau
A new RANS-based wind farm parameterization and inflow model for wind farm cluster modeling
The sensitivity of the fitch wind farm parameterization to a three-dimensional planetary boundary layer scheme
The Jensen wind farm parameterization
Inclusion of the subgrid wake effect between turbines in the wind farm parameterization of WRF
An Updated Parameterization of the Unstable Atmospheric Surface Layer in WRF Modeling System
Local turbulence parameterization improves the Jensen wake model and its implementation for power optimization of an operating wind farm
Machine Learning Parameterization of the Multi-scale Kain-Fritsch (MSKF) Convection Scheme and stable simulation coupled in WRF using WRF-ML v1.0
The WRF greenhouse gas model (WRF-GHG)
The Explicit Wake Parametrisation V1.0: a wind farm parametrisation in the mesoscale model WRF
Tropical cyclone low-level wind speed, shear, and veer: sensitivity to the boundary layer parameterization in WRF
Machine learning parameterization of the multi-scale Kain–Fritsch (MSKF) convection scheme and stable simulation coupled in the Weather Research and Forecasting (WRF) model using WRF–ML v1.0
Improved parameterization of snow albedo in WRF + Noah. Part II: Applicability to snow estimates for the Tibetan Plateau
A new RANS-based wind farm parameterization and inflow model for wind farm cluster modeling
The sensitivity of the fitch wind farm parameterization to a three-dimensional planetary boundary layer scheme
The Jensen wind farm parameterization
Inclusion of the subgrid wake effect between turbines in the wind farm parameterization of WRF
An Updated Parameterization of the Unstable Atmospheric Surface Layer in WRF Modeling System
Local turbulence parameterization improves the Jensen wake model and its implementation for power optimization of an operating wind farm
Machine Learning Parameterization of the Multi-scale Kain-Fritsch (MSKF) Convection Scheme and stable simulation coupled in WRF using WRF-ML v1.0
The WRF greenhouse gas model (WRF-GHG)
The Explicit Wake Parametrisation V1.0: a wind farm parametrisation in the mesoscale model WRF
Tropical cyclone low-level wind speed, shear, and veer: sensitivity to the boundary layer parameterization in WRF
Machine learning parameterization of the multi-scale Kain–Fritsch (MSKF) convection scheme and stable simulation coupled in the Weather Research and Forecasting (WRF) model using WRF–ML v1.0
Improved parameterization of snow albedo in WRF + Noah. Part II: Applicability to snow estimates for the Tibetan Plateau
A new RANS-based wind farm parameterization and inflow model for wind farm cluster modeling