WFIP1

Wind Forecast Improvement Project 1

Overview

The National Oceanic and Atmospheric Administration (NOAA) led this observational, data assimilation, and modeling study that was designed to demonstrate improvements in the accuracy of short-term (0-6 hour) wind forecasts for wind energy.

Irina Djalalova
CIRES
Principal Investigator

Objective

The Wind Forecast Improvement Project, hereafter known as WFIP1 due to follow-on projects, was sponsored by the U.S. Department of Energy (DOE) as a means to improve the skill of NOAA’s short-term weather forecast models at predicting foundational weather parameters, for example, wind speed, turbulence intensity, and icing conditions, that impact wind energy generation. WFIP1 participants included several DOE and NOAA research laboratories, the National Weather Service, and partners from the private sector.

For this field study, DOE selected two private sector groups to partner with DOE and NOAA, which covered two geographic regions. The first private sector group, led by WindLogics, covered the northern Great Plains region. The second private sector group, led by AWS Truepower, analyzed an area of the southern Great Plains centered on West Texas. WFIP1 spanned one full year of data collection, forecasting, and economic evaluation, from July 2011–July 2012.


Instruments

This study deployed 405 nacelle anemometers, 133 tall towers, 12 wind-profiling radars, 12 sodars, several lidars, and 71 surface meteorological stations (METs).

Note

Not all data being collected currently are available on DAP. The NOAA HRRR modeling dataset is one example. For assistance with these data, please contact us.

26

Datasets

165.5 K

Files Stored

6.4 TB

Stored
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