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Weighting Statistical Inputs for Data Used to Support Effective Decision Making During Severe Emergency Weather and Environmental EventsNational Aeronautical and Space Administration (NASA) weather and atmospheric environmental organizations are insatiable consumers of geophysical, hydrometeorological and solar weather statistics. The expanding array of internet-worked sensors producing targeted physical measurements has generated an almost factorial explosion of near real-time inputs to topical statistical datasets. Normalizing and value-based parsing of such statistical datasets in support of time-constrained weather and environmental alerts and warnings is essential, even with dedicated high-performance computational capabilities. What are the optimal indicators for advanced decision making? How do we recognize the line between sufficient statistical sampling and excessive, mission destructive sampling ? How do we assure that the normalization and parsing process, when interpolated through numerical models, yields accurate and actionable alerts and warnings? This presentation will address the integrated means and methods to achieve desired outputs for NASA and consumers of its data.
Document ID
20100026455
Acquisition Source
Goddard Space Flight Center
Document Type
Conference Paper
Authors
Gardner, Adrian
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Date Acquired
August 24, 2013
Publication Date
January 1, 2010
Subject Category
Meteorology And Climatology
Meeting Information
Meeting: IAOS INE Chile 2010/International Association for Offician Statistics
Location: Santiago
Country: Chile
Start Date: October 20, 2010
End Date: October 22, 2010
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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