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Simulation of AMVs for OSSEsAn algorithm to simulate locations of atmospheric motion vectors (AMVs) for use in observing system simulation experiments (OSSEs) is described and demonstrated. It is intended to obviate likely deficiencies in nature run data [standard meteorological parameters and aerosol tracers] if used to produce images for feature tracking. The algorithm employs probabilistic functions that are tuned based on distributions of real observations and histograms of nature run fields. For distinct observation types, the algorithm produces geographical and vertical distributions, time - mean counts, and typical spacings of simulated locations that are, at least, qualitatively similar to those of real observations and are associated with nature run cloud and water vapor fields. It thus appears suitable for generating realistic atmospheric motion vectors for use in observing system simulation experiments.
Document ID
20190026752
Acquisition Source
Goddard Space Flight Center
Document Type
Poster
Authors
Errico, R. M.
(Morgan State Univ. Baltimore, MD, United States)
Prive, Nikki
(Morgan State Univ. Baltimore, MD, United States)
Carvalho, D.
(Universities Space Research Association (USRA) Greenbelt, MD, United States)
Date Acquired
June 28, 2019
Publication Date
May 29, 2019
Subject Category
Meteorology And Climatology
Environment Pollution
Report/Patent Number
GSFC-E-DAA-TN69317
Report Number: GSFC-E-DAA-TN69317
Meeting Information
Meeting: Joint Center for Satellite Data Assimilation Technical Review Meeting and Science Workshop (JCSDA 2019)
Location: Washington, D.C.
Country: United States
Start Date: May 29, 2019
End Date: May 31, 2019
Sponsors: NASA Headquarters
Funding Number(s)
CONTRACT_GRANT: NNG11HP16A
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
NASA Technical Management
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