Atmospheric Chemistry and Physics Discussions

Data assimilation in atmospheric chemistry models: Current status and future prospects for coupled chemistry meteorology models

Bocquet, Marc
Elbern, H.
Eskes, H.
Hirtl, M.
Aabkar, R.
Carmichael, G. R.
Flemming, J.
Inness, A.
Pagowski, M.
Pérez Camaño, J. L.
Saide, P. E.
San Jose, R.
Sofiev, M.
Vira, J.
Baklanov, A.
Carnevale, C.
Grell, G.
Seigneur, C.

January 2015

International audienceData assimilation is used in atmospheric chemistry models to improve air quali...

Chemical Data Assimilation—An Overview

Tianfeng Chai
Adrian Sandu

August 2011

Chemical data assimilation is the process by which models use measurements to produce an optimal rep...

Data assimilation in atmospheric chemistry models: current status and future prospects for coupled chemistry meteorology models

M. Bocquet
H. Elbern
H. Eskes
M. Hirtl
R. Žabkar
G. R. Carmichael
J. Flemming
A. Inness
M. Pagowski
J. L. Pérez Camaño
P. E. Saide
R. San Jose
M. Sofiev
J. Vira
A. Baklanov
C. Carnevale
G. Grell
C. Seigneur

May 2015

Data assimilation is used in atmospheric chemistry models to improve air quality forecasts, construc...

Four-Dimensional Variational Data Assimilation for Inverse Modelling of Atmospheric Methane Emissions: Method and Comparison with Synthesis Inversion

MEIRINK Jan Fokke
BERGAMASCHI PETER
KROL Maarten

January 2008

A four-dimensional variational (4D-Var) data assimilation system for inverse modelling of atmospheri...

Four-dimensional variational data assimilation for inverse modelling of atmospheric methane emissions: method and comparison with synthesis inversion

Meirink, J.
Bergamaschi, P.
Krol, M.C.

January 2008

A four-dimensional variational (4D-Var) data assimilation system for inverse modelling of atmospheri...

Four-dimensional variational data assimilation for inverse modelling of atmospheric methane emissions : method and comparison with synthesis inversion

Meirink, J.F.
Bergamaschi, P.
Krol, M.C.

January 2008

A four-dimensional variational (4D-Var) data assimilation system for inverse modelling of atmospheri...

Technical Note: Four-dimensional variational data assimilation for inverse modelling of atmospheric methane emissions: method and comparison with synthesis inversion

Meirink, J. F.
Bergamaschi, P.
Krol, M. C.

June 2008

International audienceA four-dimensional variational (4D-var) data assimilation system for inverse m...

Sensitivity analysis of methane emissions derived from SCIAMACHY observations through inverse modeling

Meirink, J.F.
Eskes, H.J.
Goede, A.P.H.
Marine and Atmospheric Research
Dep Natuurkunde

January 2006

Satellite observations of trace gases in the atmosphere offer a promising method for global verifica...

Direct variational assimilation algorithm for atmospheric chemistry data with transport and transformation model

Penenko, Alexey
Nuterman, Roman B.
Baklanov, Alexander A.
Mahura, Alexander G.
Penenko, Vladimir

March 2020

Atmospheric chemistry dynamics is studied with convection-diffusion-reaction model. The numerical Da...

Four-dimensional variational data assimilation for inverse modeling of atmospheric methane emissions: Analysis of SCIAMACHY observations

Meirink, J.
Bergamaschi, P.
Krol, M.C.

January 2008

Recent observations from the Scanning Imaging Absorption Spectrometer for Atmospheric Chartography (...

Four-Dimensional Variational Data Assimilation for Inverse Modelling of Atmospheric Methane Emissions: Analysis of SCIAMACHY Observations

MEIRINK Jan Fokke
BERGAMASCHI PETER
FRANKENBERG. C.
D"AMELIO Monica
DLUGOKENCKY Edward
GATTI Luciana
HOUWELING Sander
MILLER John
ROECKMANN Thomas
VILLANI MARIA GABRIELLA
KROL Maarten

January 2008

Recent observations from the Scanning Imaging Absorption Spectrometer for Atmospheric Chartography (...

Ensemble-based data assimilation schemes for atmospheric chemistry models

Barbu, A.L. (author)

April 2010

The atmosphere is a complex system which includes physical, chemical and biological processes. Many ...

A nested application of four-dimensional variational assimilation of tropospheric chemical data

Strunk, A.
Ebel, A.
Elbern, H.

January 2011

The chemistry transport model system EURAD-IM and its variational data assimilation module are appli...

Emission Rate
H. Elbern
A. Strunk
H. Schmidt
O. Talagr

January 2007

Abstract. This study aims to assess the potential and limits of an advanced inversion method to esti...

Sensitivity analysis of methane emissions derived from SCIAMACHY observations through inverse modelling

Meirink, J. F.
Eskes, H. J.
Goede, A. P. H.

September 2005

International audienceSatellite observations of trace gases in the atmosphere offer a promising meth...

Data assimilation in atmospheric chemistry models: Current status and future prospects for coupled chemistry meteorology models

Bocquet, Marc
Elbern, H.
Eskes, H.
Hirtl, M.
Aabkar, R.
Carmichael, G. R.
Flemming, J.
Inness, A.
Pagowski, M.
Pérez Camaño, J. L.
Saide, P. E.
San Jose, R.
Sofiev, M.
Vira, J.
Baklanov, A.
Carnevale, C.
Grell, G.
Seigneur, C.

January 2015

International audienceData assimilation is used in atmospheric chemistry models to improve air quali...

Chemical Data Assimilation—An Overview

Tianfeng Chai
Adrian Sandu

August 2011

Chemical data assimilation is the process by which models use measurements to produce an optimal rep...

Data assimilation in atmospheric chemistry models: current status and future prospects for coupled chemistry meteorology models

M. Bocquet
H. Elbern
H. Eskes
M. Hirtl
R. Žabkar
G. R. Carmichael
J. Flemming
A. Inness
M. Pagowski
J. L. Pérez Camaño
P. E. Saide
R. San Jose
M. Sofiev
J. Vira
A. Baklanov
C. Carnevale
G. Grell
C. Seigneur

May 2015

Data assimilation is used in atmospheric chemistry models to improve air quality forecasts, construc...

Four-Dimensional Variational Data Assimilation for Inverse Modelling of Atmospheric Methane Emissions: Method and Comparison with Synthesis Inversion

MEIRINK Jan Fokke
BERGAMASCHI PETER
KROL Maarten

January 2008

A four-dimensional variational (4D-Var) data assimilation system for inverse modelling of atmospheri...

Four-dimensional variational data assimilation for inverse modelling of atmospheric methane emissions: method and comparison with synthesis inversion

Meirink, J.
Bergamaschi, P.
Krol, M.C.

January 2008

A four-dimensional variational (4D-Var) data assimilation system for inverse modelling of atmospheri...

Four-dimensional variational data assimilation for inverse modelling of atmospheric methane emissions : method and comparison with synthesis inversion

Meirink, J.F.
Bergamaschi, P.
Krol, M.C.

January 2008

A four-dimensional variational (4D-Var) data assimilation system for inverse modelling of atmospheri...

Technical Note: Four-dimensional variational data assimilation for inverse modelling of atmospheric methane emissions: method and comparison with synthesis inversion

Meirink, J. F.
Bergamaschi, P.
Krol, M. C.

June 2008

International audienceA four-dimensional variational (4D-var) data assimilation system for inverse m...

Sensitivity analysis of methane emissions derived from SCIAMACHY observations through inverse modeling

Meirink, J.F.
Eskes, H.J.
Goede, A.P.H.
Marine and Atmospheric Research
Dep Natuurkunde

January 2006

Satellite observations of trace gases in the atmosphere offer a promising method for global verifica...

Direct variational assimilation algorithm for atmospheric chemistry data with transport and transformation model

Penenko, Alexey
Nuterman, Roman B.
Baklanov, Alexander A.
Mahura, Alexander G.
Penenko, Vladimir

March 2020

Atmospheric chemistry dynamics is studied with convection-diffusion-reaction model. The numerical Da...

Four-dimensional variational data assimilation for inverse modeling of atmospheric methane emissions: Analysis of SCIAMACHY observations

Meirink, J.
Bergamaschi, P.
Krol, M.C.

January 2008

Recent observations from the Scanning Imaging Absorption Spectrometer for Atmospheric Chartography (...

Four-Dimensional Variational Data Assimilation for Inverse Modelling of Atmospheric Methane Emissions: Analysis of SCIAMACHY Observations

MEIRINK Jan Fokke
BERGAMASCHI PETER
FRANKENBERG. C.
D"AMELIO Monica
DLUGOKENCKY Edward
GATTI Luciana
HOUWELING Sander
MILLER John
ROECKMANN Thomas
VILLANI MARIA GABRIELLA
KROL Maarten

January 2008

Recent observations from the Scanning Imaging Absorption Spectrometer for Atmospheric Chartography (...

Ensemble-based data assimilation schemes for atmospheric chemistry models

Barbu, A.L. (author)

April 2010

The atmosphere is a complex system which includes physical, chemical and biological processes. Many ...

A nested application of four-dimensional variational assimilation of tropospheric chemical data

Strunk, A.
Ebel, A.
Elbern, H.

January 2011

The chemistry transport model system EURAD-IM and its variational data assimilation module are appli...

Emission Rate
H. Elbern
A. Strunk
H. Schmidt
O. Talagr

January 2007

Abstract. This study aims to assess the potential and limits of an advanced inversion method to esti...

Sensitivity analysis of methane emissions derived from SCIAMACHY observations through inverse modelling

Meirink, J. F.
Eskes, H. J.
Goede, A. P. H.

September 2005

International audienceSatellite observations of trace gases in the atmosphere offer a promising meth...

Data assimilation in atmospheric chemistry models: Current status and future prospects for coupled chemistry meteorology models

Bocquet, Marc
Elbern, H.
Eskes, H.
Hirtl, M.
Aabkar, R.
Carmichael, G. R.
Flemming, J.
Inness, A.
Pagowski, M.
Pérez Camaño, J. L.
Saide, P. E.
San Jose, R.
Sofiev, M.
Vira, J.
Baklanov, A.
Carnevale, C.
Grell, G.
Seigneur, C.

January 2015

International audienceData assimilation is used in atmospheric chemistry models to improve air quali...

Chemical Data Assimilation—An Overview

Tianfeng Chai
Adrian Sandu

August 2011

Chemical data assimilation is the process by which models use measurements to produce an optimal rep...

Data assimilation in atmospheric chemistry models: current status and future prospects for coupled chemistry meteorology models

M. Bocquet
H. Elbern
H. Eskes
M. Hirtl
R. Žabkar
G. R. Carmichael
J. Flemming
A. Inness
M. Pagowski
J. L. Pérez Camaño
P. E. Saide
R. San Jose
M. Sofiev
J. Vira
A. Baklanov
C. Carnevale
G. Grell
C. Seigneur

May 2015

Data assimilation is used in atmospheric chemistry models to improve air quality forecasts, construc...

Atmospheric Chemistry and Physics Discussions

Abstract

Extracted data

Atmospheric Chemistry and Physics Discussions

Abstract

Extracted data

Related items

Related items