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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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Data assimilation in atmospheric chemistry and air quality

Data assimilation in atmospheric chemistry and air quality

Chapter:
(p.507) 22 Data assimilation in atmospheric chemistry and air quality
Source:
Advanced Data Assimilation for Geosciences
Author(s):

H. Elbern

E. Friese

L. Nieradzik

J. Schwinger

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780198723844.003.0022

This chapter discusses data assimilation in atmospheric chemistry and air quality. Atmospheric chemistry dynamics and its simulations are significantly forced by emissions, in addition to other parameters. Data assimilation typically aims at analysing the initial state of the system. Hence, for atmospheric chemistry simulations, data assimilation must be extended beyond initial-value identification to identify further parameters by estimation techniques. This chapter describes advanced spatio-temporal data assimilation techniques used in atmospheric chemistry. The objective is joint parameter-initial-state estimation for a coupled four-dimensional variational data assimilation/inversion system using the chemistry-transport model EURAD-IM and satisfying three criteria: both parameter families must have dominant influence on the dynamics, they must be poorly known, and they must impinge on the system on the same timescale. A coupled initial-value/emission-inversion system is described, along with assimilation of tropospheric satellite data from both gas-phase and aerosol retrievals. Examples of aerosol data assimilation are also given.

Keywords:   atmospheric chemistry, initial state, spatio-temporal, parameter-initial-state estimation, four-dimensional variational data assimilation

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