Skip to main content
U.S. flag

An official website of the United States government

Dot Gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

HTTPS

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

William J. Shaw

Affiliation/Employer
Other
Partner Affiliation
pnnl
ORCID
Not available
Publon ID
Not available

Publications

Corresponding Articles: 4

William J. Shaw authored and/or contributed to the following articles/publications.

Evaluating the WFIP2 updates to the HRRR model using scanning Doppler lidar measurements in the complex terrain of the Columbia River Basin

The wind-energy (WE) industry relies on numerical weather prediction (NWP) forecast models as foundational or base models for many purposes, including wind-resource assessment and wind-power forecasting. During the Second Wind Forecast Improvement Project (WFIP2) in the Columbia River Basin of Oregon and Washington, a significant effort was made...

William J. Shaw
Institutions Earth System Research Laboratory - ESRL National Oceanic and Atmospheric Administration - NOAA

The Second Wind Forecast Improvement Project (WFIP2): General Overview

In 2015 the U.S. Department of Energy (DOE) initiated a 4-yr study, the Second Wind Forecast Improvement Project (WFIP2), to improve the representation of boundary layer physics and related processes in mesoscale models for better treatment of scales applicable to wind and wind power forecasts. This goal challenges numerical weather prediction (...

William J. Shaw
Institution National Oceanic and Atmospheric Administration - NOAA

Model Evaluation by Measurements from Collocated Remote Sensors in Complex Terrain

Model improvement efforts involve an evaluation of changes in model skill in response to changes in model physics and parameterization. When using wind measurements from various remote sensors to determine model forecast accuracy, it is important to understand the effects of measurement-uncertainty differences among the sensors resulting from di...

William J. Shaw
Institutions Earth System Research Laboratory - ESRL National Oceanic and Atmospheric Administration - NOAA

Scientific challenges to characterizing the wind resource in the marine atmospheric boundary layer

With the increasing level of offshore wind energy investment, it is correspondingly important to be able to accurately characterize the wind resource in terms of energy potential as well as operating conditions affecting wind plant performance, maintenance, and lifespan. Accurate resource assessment at a particular site supports investment decis...

William J. Shaw
Institution National Oceanic and Atmospheric Administration - NOAA