Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

A predictor analysis framework for surface radiation budget reprocessing using satellite data

A predictor analysis framework for surface radiation budget reprocessing using satellite data Equipped with various types of imagers, lasers and radars, dozens of satellites orbit the earth every day collecting and relaying data for weather and atmospheric analysis, communication and navigation applications and planetary studies. Earth orbiting satellites are part of the critical space infrastructures. NASA's Global Energy and Water Cycle (GEWEX) surface radiation budget (SRB) shortwave algorithm derives long-term datasets from satellite data of the distribution of the sun's energy to the surface and back to space. This paper presents an analysis framework to describe propagation of input parameter variability to output data results in algorithmic computations, and then quantify the variability in the solution sets. The SRB shortwave algorithm and design of experiments (DOE) methods are utilised to determine significant input parameters and interactions. A sensitivity analysis is also conducted to determine the variability in the output data for each dependent variable varying within their range using Monte Carlo simulation. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Critical Infrastructures Inderscience Publishers

A predictor analysis framework for surface radiation budget reprocessing using satellite data

Loading next page...
 
/lp/inderscience-publishers/a-predictor-analysis-framework-for-surface-radiation-budget-pl0UjC1HSD
Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
1475-3219
eISSN
1741-8038
DOI
10.1504/IJCIS.2021.114340
Publisher site
See Article on Publisher Site

Abstract

Equipped with various types of imagers, lasers and radars, dozens of satellites orbit the earth every day collecting and relaying data for weather and atmospheric analysis, communication and navigation applications and planetary studies. Earth orbiting satellites are part of the critical space infrastructures. NASA's Global Energy and Water Cycle (GEWEX) surface radiation budget (SRB) shortwave algorithm derives long-term datasets from satellite data of the distribution of the sun's energy to the surface and back to space. This paper presents an analysis framework to describe propagation of input parameter variability to output data results in algorithmic computations, and then quantify the variability in the solution sets. The SRB shortwave algorithm and design of experiments (DOE) methods are utilised to determine significant input parameters and interactions. A sensitivity analysis is also conducted to determine the variability in the output data for each dependent variable varying within their range using Monte Carlo simulation.

Journal

International Journal of Critical InfrastructuresInderscience Publishers

Published: Jan 1, 2021

There are no references for this article.