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Proceedings Paper

Application of OSSEs to observing system design
Author(s): Robert Atlas; Lars Peter Riishojgaard
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Paper Abstract

Observing System Simulation Experiments (OSSEs) are an important tool for evaluating the potential impact of proposed new observing systems, as well as for evaluating trade-offs in observing system design, and in developing and assessing improved methodology for assimilating new observations. Extensive OSSEs have been conducted at NASA/ GSFC and NOAA/AOML in collaboration with Simpson Weather Associates and operational data assimilation centers over the last 23 years. These OSSEs determined correctly the quantitative potential for several proposed satellite observing systems to improve weather analysis and prediction prior to their launch, evaluated trade-offs in orbits, coverage and accuracy for space-based wind lidars, and were used in the development of the methodology that led to the first beneficial impacts of satellite surface winds on numerical weather prediction. In this paper, we summarize OSSE methodology and earlier OSSE results, and present methodology and results from recent OSSEs.

Paper Details

Date Published: 25 August 2008
PDF: 9 pages
Proc. SPIE 7087, Remote Sensing System Engineering, 708707 (25 August 2008); doi: 10.1117/12.795344
Show Author Affiliations
Robert Atlas, National Oceanic and Atmospheric Administration (United States)
Lars Peter Riishojgaard, Joint Ctr. for Satellite Data Assimilation, NOAA Science Ctr. (United States)

Published in SPIE Proceedings Vol. 7087:
Remote Sensing System Engineering
Philip E. Ardanuy; Jeffery J. Puschell, Editor(s)

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