Variability in wind energy generation across the contiguous United States
SC Pryor, FW Letson… - Journal of Applied …, 2020 - journals.ametsoc.org
Variability in Wind Energy Generation across the Contiguous United States in: Journal of Applied
Meteorology and Climatology Volume 59 Issue 12 (2020) Jump to Content Jump to Main …
Meteorology and Climatology Volume 59 Issue 12 (2020) Jump to Content Jump to Main …
Measurements and model improvement: Insight into NWP model error using Doppler lidar and other WFIP2 measurement systems
RM Banta, YL Pichugina, WA Brewer… - Monthly Weather …, 2023 - journals.ametsoc.org
Doppler-lidar wind-profile measurements at three sites were used to evaluate NWP model
errors from two versions of NOAA's 3-km-grid HRRR model, to see whether updates in the …
errors from two versions of NOAA's 3-km-grid HRRR model, to see whether updates in the …
[HTML][HTML] Decreasing wind speed extrapolation error via domain-specific feature extraction and selection
Abstract Model uncertainty is a significant challenge in the wind energy industry and can
lead to mischaracterization of millions of dollars' worth of wind resources. Machine learning …
lead to mischaracterization of millions of dollars' worth of wind resources. Machine learning …
On the surface energy balance closure at different temporal scales
Measurements of the surface energy fluxes (turbulent and radiative) and other ancillary
atmospheric/soil parameters made in the Columbia River Basin (Oregon) in an area of …
atmospheric/soil parameters made in the Columbia River Basin (Oregon) in an area of …
Utilizing physics-based input features within a machine learning model to predict wind speed forecasting error
Machine learning is quickly becoming a commonly used technique for wind speed and
power forecasting. Many of these methods utilize exogenous variables as input features, but …
power forecasting. Many of these methods utilize exogenous variables as input features, but …
Time evolution and diurnal variability of the parametric sensitivity of turbine‐height winds in the MYNN‐EDMF parameterization
Abstract The Mellor‐Yamada‐Nakanishi‐Niino (MYNN) parameterization applied in the
Weather Research and Forecasting (WRF) model has been augmented to include the Eddy …
Weather Research and Forecasting (WRF) model has been augmented to include the Eddy …
Comparison of observations and predictions of daytime planetary-boundary-layer heights and surface meteorological variables in the Columbia River Gorge and …
Abstract The second Wind Forecast Improvement Project (WFIP2) is an 18-month field
campaign in the Pacific Northwest USA, whose goal is to improve the accuracy of numerical …
campaign in the Pacific Northwest USA, whose goal is to improve the accuracy of numerical …
Characterizing model uncertainties in simulated coast-to-offshore wind over the northeast US using multi-platform measurements from the TCAP field campaign
Numerical weather prediction models, such as the Weather Research and Forecasting
model, are widely used to provide estimates of the offshore wind energy resource owing to …
model, are widely used to provide estimates of the offshore wind energy resource owing to …
[HTML][HTML] Quantifying the impacts of land surface modeling on hub-height wind speed under different soil conditions
We investigate the impact of three land surface models (LSMs) on simulating hub-height
wind speed under three different soil regimes (dry, wet, and frozen) to improve …
wind speed under three different soil regimes (dry, wet, and frozen) to improve …
Evaluation, Calibration, and Application of Probabilistic 100-m Wind Speed Forecasts Produced by the WRF Ensemble Prediction System in Taiwan
SC Chou, HL Chang, Z Toth, PL Lin… - Journal of Applied …, 2025 - journals.ametsoc.org
The use of renewable energy is on the rise; however, it brings more challenges for grid
operations and unit scheduling due to the intermittent nature and limitations in predicting …
operations and unit scheduling due to the intermittent nature and limitations in predicting …