@misc{a8dc5c48cb6f4ec0b1484b6ccde76c6e,
title = "Moving Beyond 2% Uncertainty: A New Framework for Quantifying Lidar Uncertainty: NREL (National Renewable Energy Laboratory)",
abstract = "Remote sensing of wind using lidar is revolutionizing wind energy. However, current generations of wind lidar are ascribed a climatic value of uncertainty, which is based on a poor description of lidar sensitivity to external conditions. In this presentation, we show how it is important to consider the complete lidar measurement process to define the measurement uncertainty, which in turn offers the ability to define a much more granular and dynamic measurement uncertainty. This approach is a progression from the 'white box' lidar uncertainty method.",
keywords = "lidar, measurement uncertainty, uncertainty model, wind energy, wind turbine",
author = "Jennifer Newman and Andrew Clifton",
year = "2016",
language = "American English",
series = "Presented at the International Energy Agency (IEA) Wind Task 32 Workshop #4, 14 December 2016, Glasgow Scotland",
type = "Other",
}