@misc{c3ad073443ad457ebb142d82afc0b5e8,
title = "A Method to Estimate Uncertainty in Radiometric Measurement Using the Guide to the Expression of Uncertainty in Measurement (GUM) Method",
abstract = "Radiometric data with known and traceable uncertainty is essential for climate change studies to better understand cloud radiation interactions and the earth radiation budget. Further, adopting a known and traceable method of estimating uncertainty with respect to SI ensures that the uncertainty quoted for radiometric measurements can be compared based on documented methods of derivation.Therefore, statements about the overall measurement uncertainty can only be made on an individual basis, taking all relevant factors into account. This poster provides guidelines and recommended procedures for estimating the uncertainty in calibrations and measurements from radiometers. The approach follows the Guide to the Expression of Uncertainty in Measurement (GUM). derivation.Therefore, statements about the overall measurement uncertainty can only be made on an individual basis, taking all relevant factors into account. This poster provides guidelines and recommended procedures for estimating the uncertainty in calibrations and measurements from radiometers. The approach follows the Guide to the Expression of Uncertainty in Measurement (GUM).",
keywords = "guide to the expression of uncertainty in measurement, gum, measurement, National Renewable Energy Laboratory (NREL), NREL, radiometric data, uncertainty",
author = "Aron Habte and Manajit Sengupta and Ibrahim Reda",
year = "2015",
language = "American English",
series = "Presented at the Atmospheric System Research Science Team Meeting, 16-19 March 2015, Vienna, Virginia",
type = "Other",
}