PREDICTIVE SCIENCE INCORPORATED — National Aeronautics and Space Administration SBIR Phase I: S5

PREDICTIVE SCIENCE INCORPORATED — SBIR Phase I award from National Aeronautics and Space Administration.

Amount
$124,968
Agency
National Aeronautics and Space Administration
Program / Phase
SBIR · Phase I
Topic
S5
Solicitation
SBIR_19_P1
NAICS
Place of performance
CA
Period
2019-08-19 → 2020-02-18

Description

Space weather benchmarks are recognized as a crucial product for a variety of government and industry stakeholders. Until now, they have been computed primarily from a scientific perspective, on an individual basis, and, to a large extent, without cross-validation. We propose to develop a tool that combines the most robust techniques currently available, together with a wide range of data from the Heliophysics System Observatory (HSO), and the option to upload user-supplied data, to produce the most accurate estimates of benchmarks, together with their uncertainties. During our Phase I effort, we will develop a prototype web-based tool that illustrates how space weather benchmarks can be estimated using the most sophisticated statistical methodologies, which have been previously investigated by our team. We will focus on measurements identified in NSF#39;s SWORM Phase I report, which includes data from a range of regions within the heliophysics domain. Importantly, we will carefully quantify the uncertainties with these benchmark estimates, a quantity that is at least as useful as the actual benchmark value. We will incorporate additional methodologies (e.g., Peaks-Over-Threshold) as appropriate and present the prototype tool to potentially interested stakeholders (e.g. the SPDF and CCMC) during month five. We will deliver a final report describing the prototype tool make it available to the community through an open-source GitHub repository. We anticipate that this tool will find broad appeal within the NASA community, and, ultimately, across many other scientific and engineering disciplines where an accurate assessment of risk likelihood is necessary. We would plan to commercialize this work by providing tailor-made solutions for customers, including support and service.nbsp;