Articles | Volume 12, issue 11
https://doi.org/10.5194/gmd-12-4803-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-12-4803-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| 
21 Nov 2019
Model evaluation paper |
| 21 Nov 2019
| 21 Nov 2019
Impact of model improvements on 80 m wind speeds during the second Wind Forecast Improvement Project (WFIP2)
Cooperative Institute for Research in
Environmental Sciences, Boulder, CO, USA
National Oceanic and Atmospheric Administration/Earth Systems Research Laboratory, Boulder, CO, USA
Irina V. Djalalova
Cooperative Institute for Research in
Environmental Sciences, Boulder, CO, USA
National Oceanic and Atmospheric Administration/Earth Systems Research Laboratory, Boulder, CO, USA
James M. Wilczak
National Oceanic and Atmospheric Administration/Earth Systems Research Laboratory, Boulder, CO, USA
Joseph B. Olson
Cooperative Institute for Research in
Environmental Sciences, Boulder, CO, USA
National Oceanic and Atmospheric Administration/Earth Systems Research Laboratory, Boulder, CO, USA
Jaymes S. Kenyon
Cooperative Institute for Research in
Environmental Sciences, Boulder, CO, USA
National Oceanic and Atmospheric Administration/Earth Systems Research Laboratory, Boulder, CO, USA
Aditya Choukulkar
Cooperative Institute for Research in
Environmental Sciences, Boulder, CO, USA
National Oceanic and Atmospheric Administration/Earth Systems Research Laboratory, Boulder, CO, USA
Vibrant Clean Energy, Boulder, CO, USA
Larry K. Berg
Pacific Northwest National Laboratory, Richland, WA, USA
Harindra J. S. Fernando
Civil and Environmental Engineering and Earth Sciences, University of Notre Dame, Notre Dame, IN, USA
Eric P. Grimit
Vaisala Inc., Seattle, WA, USA
Raghavendra Krishnamurthy
Pacific Northwest National Laboratory, Richland, WA, USA
Civil and Environmental Engineering and Earth Sciences, University of Notre Dame, Notre Dame, IN, USA
Julie K. Lundquist
Department of Atmospheric and Oceanic Sciences, University of Colorado Boulder, Boulder, CO, USA
National Renewable Energy Laboratory, Golden, CO, USA
Paytsar Muradyan
Argonne National Laboratory, Lemont, IL, USA
Mikhail Pekour
Pacific Northwest National Laboratory, Richland, WA, USA
Yelena Pichugina
Cooperative Institute for Research in
Environmental Sciences, Boulder, CO, USA
National Oceanic and Atmospheric Administration/Earth Systems Research Laboratory, Boulder, CO, USA
Mark T. Stoelinga
Vaisala Inc., Seattle, WA, USA
David D. Turner
National Oceanic and Atmospheric Administration/Earth Systems Research Laboratory, Boulder, CO, USA
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Cited
19 citations as recorded by crossref.
- Doppler-Lidar Evaluation of HRRR-Model Skill at Simulating Summertime Wind Regimes in the Columbia River Basin during WFIP2 R. Banta et al. 10.1175/WAF-D-21-0012.1
- A Hybrid Bulk Algorithm to Predict Turbulent Fluxes over Dry and Wet Bare Soils A. Grachev et al. 10.1175/JAMC-D-20-0232.1
- Case study of a bore wind-ramp event from lidar measurements and HRRR simulations over ARM Southern Great Plains Y. Pichugina et al. 10.1063/5.0161905
- Evaluation of Hub‐Height Wind Forecasts Over the New York Bight T. Myers et al. 10.1002/we.2936
- Evaluating the WFIP2 updates to the HRRR model using scanning Doppler lidar measurements in the complex terrain of the Columbia River Basin Y. Pichugina et al. 10.1063/5.0009138
- Decreasing wind speed extrapolation error via domain-specific feature extraction and selection D. Vassallo et al. 10.5194/wes-5-959-2020
- On the surface energy balance closure at different temporal scales A. Grachev et al. 10.1016/j.agrformet.2019.107823
- Evaluation of forecasted wind speed at turbine hub height and wind ramps by five NWP models with observations from 262 wind farms over China C. Jin et al. 10.1002/met.70007
- Deploying Taller Turbines in Complex Terrain: A Hill Flow Study (HilFlowS) Perspective S. Wharton & K. Foster 10.3390/en15072672
- Validating simulated mountain wave impacts on hub-height wind speed using SoDAR observations G. Xia et al. 10.1016/j.renene.2020.10.127
- Model Evaluation by Measurements from Collocated Remote Sensors in Complex Terrain Y. Pichugina et al. 10.1175/WAF-D-21-0214.1
- Analysis of bias correction of HRRR model outputs for offshore wind power ramp events Y. Yin & M. Peña 10.1016/j.renene.2024.120581
- Characterizing model uncertainties in simulated coast-to-offshore wind over the northeast U.S. using multi-platform measurements from the TCAP field campaign S. Tai et al. 10.1016/j.renene.2024.122022
- Comparison of Observations and Predictions of Daytime Planetary-Boundary-Layer Heights and Surface Meteorological Variables in the Columbia River Gorge and Basin During the Second Wind Forecast Improvement Project L. Bianco et al. 10.1007/s10546-021-00645-x
- Wind Ramp Events Validation in NWP Forecast Models during the Second Wind Forecast Improvement Project (WFIP2) Using the Ramp Tool and Metric (RT&M) I. Djalalova et al. 10.1175/WAF-D-20-0072.1
- Mountain waves can impact wind power generation C. Draxl et al. 10.5194/wes-6-45-2021
- Utilizing physics-based input features within a machine learning model to predict wind speed forecasting error D. Vassallo et al. 10.5194/wes-6-295-2021
- Time Evolution and Diurnal Variability of the Parametric Sensitivity of Turbine‐Height Winds in the MYNN‐EDMF Parameterization L. Berg et al. 10.1029/2020JD034000
- The Hydrometeorology Testbed–West Legacy Observing Network: Supporting Research to Applications for Atmospheric Rivers and Beyond A. Ray & A. White 10.3390/atmos10090533
18 citations as recorded by crossref.
- Doppler-Lidar Evaluation of HRRR-Model Skill at Simulating Summertime Wind Regimes in the Columbia River Basin during WFIP2 R. Banta et al. 10.1175/WAF-D-21-0012.1
- A Hybrid Bulk Algorithm to Predict Turbulent Fluxes over Dry and Wet Bare Soils A. Grachev et al. 10.1175/JAMC-D-20-0232.1
- Case study of a bore wind-ramp event from lidar measurements and HRRR simulations over ARM Southern Great Plains Y. Pichugina et al. 10.1063/5.0161905
- Evaluation of Hub‐Height Wind Forecasts Over the New York Bight T. Myers et al. 10.1002/we.2936
- Evaluating the WFIP2 updates to the HRRR model using scanning Doppler lidar measurements in the complex terrain of the Columbia River Basin Y. Pichugina et al. 10.1063/5.0009138
- Decreasing wind speed extrapolation error via domain-specific feature extraction and selection D. Vassallo et al. 10.5194/wes-5-959-2020
- On the surface energy balance closure at different temporal scales A. Grachev et al. 10.1016/j.agrformet.2019.107823
- Evaluation of forecasted wind speed at turbine hub height and wind ramps by five NWP models with observations from 262 wind farms over China C. Jin et al. 10.1002/met.70007
- Deploying Taller Turbines in Complex Terrain: A Hill Flow Study (HilFlowS) Perspective S. Wharton & K. Foster 10.3390/en15072672
- Validating simulated mountain wave impacts on hub-height wind speed using SoDAR observations G. Xia et al. 10.1016/j.renene.2020.10.127
- Model Evaluation by Measurements from Collocated Remote Sensors in Complex Terrain Y. Pichugina et al. 10.1175/WAF-D-21-0214.1
- Analysis of bias correction of HRRR model outputs for offshore wind power ramp events Y. Yin & M. Peña 10.1016/j.renene.2024.120581
- Characterizing model uncertainties in simulated coast-to-offshore wind over the northeast U.S. using multi-platform measurements from the TCAP field campaign S. Tai et al. 10.1016/j.renene.2024.122022
- Comparison of Observations and Predictions of Daytime Planetary-Boundary-Layer Heights and Surface Meteorological Variables in the Columbia River Gorge and Basin During the Second Wind Forecast Improvement Project L. Bianco et al. 10.1007/s10546-021-00645-x
- Wind Ramp Events Validation in NWP Forecast Models during the Second Wind Forecast Improvement Project (WFIP2) Using the Ramp Tool and Metric (RT&M) I. Djalalova et al. 10.1175/WAF-D-20-0072.1
- Mountain waves can impact wind power generation C. Draxl et al. 10.5194/wes-6-45-2021
- Utilizing physics-based input features within a machine learning model to predict wind speed forecasting error D. Vassallo et al. 10.5194/wes-6-295-2021
- Time Evolution and Diurnal Variability of the Parametric Sensitivity of Turbine‐Height Winds in the MYNN‐EDMF Parameterization L. Berg et al. 10.1029/2020JD034000
Latest update: 14 Dec 2024
Short summary
During the second Wind Forecast Improvement Project, improvements to the parameterizations were applied to the High Resolution Rapid Refresh model and its nested version. The impacts of the new parameterizations on the forecast of 80 m wind speeds and power are assessed, using sodars and profiling lidars observations for comparison. Improvements are evaluated as a function of the model’s initialization time, forecast horizon, time of the day, season, site elevation, and meteorological phenomena.
During the second Wind Forecast Improvement Project, improvements to the parameterizations were...
