Quantifying the Impacts of Land Surface Modeling on Hub-Height Wind Speed under Different Soil Conditions

Journal Article · Wed Sep 01 04:00:00 EDT 2021 · Monthly Weather Review

DOI:https://doi.org/10.1175/MWR-D-20-0363.1· OSTI ID:1827280

Xia, Geng ^[1]; Draxl, Caroline ^[2]; Berg, Larry K. ^[3]; Cook, David R. ^[4]

---

1. National Renewable Energy Laboratory
2. NATIONAL RENEWABLE ENERGY LABORATORY
3. BATTELLE (PACIFIC NW LAB)
4. Argonne National Laboratory

We investigate the impact of three land surface models (LSMs) on hub-height wind speed under three different soil regimes (dry, wet, and frozen) to understand and improve the physics of wind energy forecasts using the Weather Research and Forecasting (WRF) model. A six-day representative period is selected for each soil condition. The simulated wind speed, surface energy budget and soil properties are compared with the observations collected from the second Wind Forecast Improvement Project (WFIP2). For the selected cases, our simulation results suggest that, the impact of LSMs on hub-height wind speed are sensitive to the soil states but not so much to the choice of LSM. The simulated hub-height wind speed is in much better agreement with the observations for the dry soil case than the wet and frozen soil cases. Over the dry soil, there is a strong physical connection between the land surface and hub-height wind speed through near-surface turbulent mixing. Over the wet soil, the simulated hub-height wind speed is less impacted by land surface due to weaker surface fluxes and more dominated by large-scale synoptic disturbances. Over the frozen soil, the land surface model seems to have limited impact on hub-height wind speed variability due to the decoupling of the land surface with the overlying atmosphere. Two main sources of modeling uncertainties are proposed. The first are the insufficient model physics representing the surface energy budget, especially the ground heat flux, and the second are the inaccurate initial soil states such as soil temperature and soil moisture.

• Research Organization: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-76RL01830
• OSTI ID: 1827280
• Report Number(s): PNNL-SA-158270
• Journal Information: Monthly Weather Review, Journal Name: Monthly Weather Review Journal Issue: 9 Vol. 149
• Country of Publication: United States
• Language: English