A method for determining a quality controlled sensor set from a redundant sensor set comprising calculating a first time correlation coefficient and a first autocorrelation coefficient based on a first sensor time series data, calculating a second time correlation coefficient and a second autocorrelation coefficient based on a second sensor time series data, calculating a first and second sensor correlation coefficient based on the first sensor time series data and the second sensor time series data, and determining the quality controlled sensor set with a highest confidence level.
Method and System for Providing Quality Controlled Data From a Redundant Sensor System
UCAR Scientific and/or Technical Achievement Award
Support for the Unified Forecast System (UFS) Application Releases
UCAR Diversity Award
For outstanding dedication to diversity and inclusion in STEM | FACES
UCAR Administrative Achievement Award
For inception and execution of the first inaugural NCAR/UCAR/UCP Administrative Conference 2021
UCAR Mentoring Award
For exceptional mentoring
2021 Thunderbird Award
Recognizes fundamental and continuing contributions to the art and science of weather modification.
HurricaneRiskCalculator®
Localizing and personalizing hurricane wind risks to inform decisions about hurricane preparations.
While the weather forecast enterprise has dramatically increased its capabilities to provide accurate forecasts of weather hazards at greater lead times and finer scales, a growing body of research demonstrates that people have a difficult time understanding what the impacts of those hazards will be. Even worse, people find it difficult to impossible to conceive of what the impact means for their unique situation. Very few people have the technical background to assess their vulnerability and interpret probabilistic forecasts of hazards to calculate the risks of specific consequences. The HurricaneRiskCalculator® web app is being created to fill these gaps.
The HurricaneRiskCalculator® web app is a public-facing decision support tool based on a probabilistic risk framework that intersects real-time tropical cyclone wind hazard predictions with information from a structural vulnerability assessment. Through this intersection of hazard, vulnerability, and exposure, the tool calculates the risks of various consequences, such as different degrees of structural damage and whether the structure will be habitable following the tropical cyclone.
Learn more about the project: wxrisk.ucar.edu
NCAR & UCAR News: NCAR scientists recruiting the public to help ground-truth hurricane risk app