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Advanced Data Assimilation for GeosciencesLecture Notes of the Les Houches School of Physics: Special Issue, June 2012$
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Éric Blayo, Marc Bocquet, Emmanuel Cosme, and Leticia F. Cugliandolo

Print publication date: 2014

Print ISBN-13: 9780198723844

Published to Oxford Scholarship Online: March 2015

DOI: 10.1093/acprof:oso/9780198723844.001.0001

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Observation impact on the short-range forecast

Observation impact on the short-range forecast

Chapter:
(p.165) 6 Observation impact on the short-range forecast
Source:
Advanced Data Assimilation for Geosciences
Author(s):

C. Cardinali

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780198723844.003.0006

This chapter describes the concept of forecast error sensitivity to observations (FSO) and its use for diagnostic purposes. Assessment of the observational contribution to analysis and forecasting is among the most challenging aspects of diagnostics in data assimilation and numerical weather prediction. The FSO tool computes the contribution of all observations to the forecast error: a positive contribution is associated with an increase in forecast error and a negative contribution with a decrease. The technique is illustrated by an application to the weather prediction system of the European Centre for Medium-Range Weather Forecasts.

Keywords:   observational contribution, forecast sensitivity to observations, FSO, forecast error, numerical weather prediction

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