Data assimilation: making sense of Earth Observation
Climate change, air quality, and environmental degradation are important societal
challenges for the Twenty-first Century. These challenges require an intelligent response …
challenges for the Twenty-first Century. These challenges require an intelligent response …
[HTML][HTML] A regional air quality forecasting system over Europe: the MACC-II daily ensemble production
This paper describes the pre-operational analysis and forecasting system developed during
MACC (Monitoring Atmospheric Composition and Climate) and continued in the MACC-II …
MACC (Monitoring Atmospheric Composition and Climate) and continued in the MACC-II …
Current state of the global operational aerosol multi‐model ensemble: An update from the International Cooperative for Aerosol Prediction (ICAP)
Since the first International Cooperative for Aerosol Prediction (ICAP) multi‐model ensemble
(MME) study, the number of ICAP global operational aerosol models has increased from five …
(MME) study, the number of ICAP global operational aerosol models has increased from five …
Data assimilation of satellite-retrieved ozone, carbon monoxide and nitrogen dioxide with ECMWF's Composition-IFS
A Inness, AM Blechschmidt, I Bouarar… - Atmospheric …, 2015 - acp.copernicus.org
Daily global analyses and 5-day forecasts are generated in the context of the European
Monitoring Atmospheric Composition and Climate (MACC) project using an extended …
Monitoring Atmospheric Composition and Climate (MACC) project using an extended …
A tropospheric chemistry reanalysis for the years 2005–2012 based on an assimilation of OMI, MLS, TES, and MOPITT satellite data
We present the results from an 8-year tropospheric chemistry reanalysis for the period 2005–
2012 obtained by assimilating multiple data sets from the OMI, MLS, TES, and MOPITT …
2012 obtained by assimilating multiple data sets from the OMI, MLS, TES, and MOPITT …
A comparison of the impact of TROPOMI and OMI tropospheric NO2 on global chemical data assimilation
This study gives a systematic comparison of the Tropospheric Monitoring Instrument
(TROPOMI) version 1.2 and Ozone Monitoring Instrument (OMI) QA4ECV tropospheric NO 2 …
(TROPOMI) version 1.2 and Ozone Monitoring Instrument (OMI) QA4ECV tropospheric NO 2 …
Generalized background error covariance matrix model (GEN_BE v2. 0)
The specification of state background error statistics is a key component of data assimilation
since it affects the impact observations will have on the analysis. In the variational data …
since it affects the impact observations will have on the analysis. In the variational data …
First implementation of secondary inorganic aerosols in the MOCAGE version R2. 15.0 chemistry transport model
J Guth, B Josse, V Marécal, M Joly… - Geoscientific Model …, 2016 - gmd.copernicus.org
In this study we develop a secondary inorganic aerosol (SIA) module for the MOCAGE
chemistry transport model developed at CNRM. The aim is to have a module suitable for …
chemistry transport model developed at CNRM. The aim is to have a module suitable for …
Assessing the impacts of assimilating IASI and MOPITT CO retrievals using CESM‐CAM‐chem and DART
We show the results and evaluation with independent measurements from assimilating both
MOPITT (Measurements Of Pollution In The Troposphere) and IASI (Infrared Atmospheric …
MOPITT (Measurements Of Pollution In The Troposphere) and IASI (Infrared Atmospheric …
Assimilation des luminances IASI dans un modèle de chimie transport pour la surveillance de l'ozone et des poussières désertiques
M El Aabaribaoune - 2022 - theses.hal.science
L'ozone et les poussières désertiques jouent un rôle crucial dans notre atmosphère
nécessitant une surveillance continue. Cette surveillance est effectuée par le biais des …
nécessitant une surveillance continue. Cette surveillance est effectuée par le biais des …