Articles | Volume 5, issue 10
https://doi.org/10.5194/acp-5-2691-2005
© Author(s) 2005. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
https://doi.org/10.5194/acp-5-2691-2005
© Author(s) 2005. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
An improved Kalman Smoother for atmospheric inversions
L. M. P. Bruhwiler
NOAA Climate Monitoring and Diagnostics Laboratory, Boulder, Colorado, USA
A. M. Michalak
Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, Michigan, USA
W. Peters
Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, Colorado, USA
D. F. Baker
National Center for Atmospheric Research, Boulder, Colorado, USA
P. Tans
NOAA Climate Monitoring and Diagnostics Laboratory, Boulder, Colorado, USA
Viewed
Total article views: 3,870 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 30 Mar 2005)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
2,195 | 1,547 | 128 | 3,870 | 139 | 110 |
- HTML: 2,195
- PDF: 1,547
- XML: 128
- Total: 3,870
- BibTeX: 139
- EndNote: 110
Total article views: 3,308 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 18 Oct 2005)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,937 | 1,253 | 118 | 3,308 | 129 | 107 |
- HTML: 1,937
- PDF: 1,253
- XML: 118
- Total: 3,308
- BibTeX: 129
- EndNote: 107
Total article views: 562 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 30 Mar 2005)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
258 | 294 | 10 | 562 | 10 | 3 |
- HTML: 258
- PDF: 294
- XML: 10
- Total: 562
- BibTeX: 10
- EndNote: 3
Cited
61 citations as recorded by crossref.
- European CO2 fluxes from atmospheric inversions using regional and global transport models L. Rivier et al. 10.1007/s10584-010-9908-4
- Model-data interaction in groundwater studies: Review of methods, applications and future directions M. Rajabi et al. 10.1016/j.jhydrol.2018.09.053
- Atmospheric methane isotopic record favors fossil sources flat in 1980s and 1990s with recent increase A. Rice et al. 10.1073/pnas.1522923113
- Effect of assimilating CO2 observations in the Korean Peninsula on the inverse modeling to estimate surface CO2 flux over Asia M. Cho et al. 10.1371/journal.pone.0263925
- Seven years of recent European net terrestrial carbon dioxide exchange constrained by atmospheric observations W. PETERS et al. 10.1111/j.1365-2486.2009.02078.x
- Estimating surface CO<sub>2</sub> fluxes from space-borne CO<sub>2</sub> dry air mole fraction observations using an ensemble Kalman Filter L. Feng et al. 10.5194/acp-9-2619-2009
- Atmospheric inversions for estimating CO2 fluxes: methods and perspectives P. Ciais et al. 10.1007/s10584-010-9909-3
- CO<sub>2</sub> flux estimation errors associated with moist atmospheric processes N. Parazoo et al. 10.5194/acp-12-6405-2012
- Comparison between the Local Ensemble Transform Kalman Filter (LETKF) and 4D‐Var in atmospheric CO2 flux inversion with the Goddard Earth Observing System‐Chem model and the observation impact diagnostics from the LETKF J. Liu et al. 10.1002/2016JD025100
- Global and regional carbon budget for 2015–2020 inferred from OCO-2 based on an ensemble Kalman filter coupled with GEOS-Chem Y. Kong et al. 10.5194/acp-22-10769-2022
- Biological production in the Indian Ocean upwelling zones - Part 2: Data based estimates of variable compensation depth for ocean carbon models via cyclo-stationary Bayesian Inversion. M. Sreeush et al. 10.1016/j.dsr2.2019.07.007
- Estimation of global CO2 fluxes using ground-based and satellite (GOSAT) observation data with empirical orthogonal functions R. Zhuravlev et al. 10.1134/S1024856013060158
- The Integration of Photodiode and Camera for Visible Light Positioning by Using Fixed-Lag Ensemble Kalman Smoother Y. Zhuang et al. 10.3390/rs11111387
- CarbonTracker-CH<sub>4</sub>: an assimilation system for estimating emissions of atmospheric methane L. Bruhwiler et al. 10.5194/acp-14-8269-2014
- Influence of differences in current GOSATXCO2retrievals on surface flux estimation H. Takagi et al. 10.1002/2013GL059174
- A decadal inversion of CO<sub>2</sub> using the Global Eulerian–Lagrangian Coupled Atmospheric model (GELCA): sensitivity to the ground-based observation network T. Shirai et al. 10.1080/16000889.2017.1291158
- An extended Kalman-filter for regional scale inverse emission estimation D. Brunner et al. 10.5194/acp-12-3455-2012
- Estimating aerosol emission from SPEXone on the NASA PACE mission using an ensemble Kalman smoother: observing system simulation experiments (OSSEs) A. Tsikerdekis et al. 10.5194/gmd-15-3253-2022
- A global carbon assimilation system based on a dual optimization method H. Zheng et al. 10.5194/bg-12-1131-2015
- Methane chemistry in a nutshell – the new submodels CH4 (v1.0) and TRSYNC (v1.0) in MESSy (v2.54.0) F. Winterstein & P. Jöckel 10.5194/gmd-14-661-2021
- Development of the WRF-CO2 4D-Var assimilation system v1.0 T. Zheng et al. 10.5194/gmd-11-1725-2018
- Continued emissions of carbon tetrachloride from the United States nearly two decades after its phaseout for dispersive uses L. Hu et al. 10.1073/pnas.1522284113
- European CH4 inversions with ICON-ART coupled to the CarbonTracker Data Assimilation Shell M. Steiner et al. 10.5194/acp-24-2759-2024
- Inverting the East Asian Dust Emission Fluxes Using the Ensemble Kalman Smoother and Himawari-8 AODs: A Case Study with WRF-Chem v3.5.1 T. Dai et al. 10.3390/atmos10090543
- Optimal estimation of the present‐day global methane budget L. Neef et al. 10.1029/2009GB003661
- Application of Ensemble Kalman Smoothing in Inverse Modeling of Advection and Diffusion E. Klimova 10.1134/S1995423924030030
- Assimilation of POLDER observations to estimate aerosol emissions A. Tsikerdekis et al. 10.5194/acp-23-9495-2023
- Improving the joint estimation of CO2 and surface carbon fluxes using a constrained ensemble Kalman filter in COLA (v1.0) Z. Liu et al. 10.5194/gmd-15-5511-2022
- Inter-annual variability of summertime CO 2 exchange in Northern Eurasia inferred from GOSAT XCO 2 M. Ishizawa et al. 10.1088/1748-9326/11/10/105001
- Estimating Aerosol Emissions by Assimilating Remote Sensing Observations into a Global Transport Model N. Schutgens et al. 10.3390/rs4113528
- Global and Regional CH4 Emissions for 1995–2013 Derived From Atmospheric CH4, δ13C‐CH4, and δD‐CH4 Observations and a Chemical Transport Model R. Fujita et al. 10.1029/2020JD032903
- Influence of CO<sub>2</sub> observations on the optimized CO<sub>2</sub> flux in an ensemble Kalman filter J. Kim et al. 10.5194/acp-14-13515-2014
- Enhanced Methane Emissions during Amazonian Drought by Biomass Burning M. Saito et al. 10.1371/journal.pone.0166039
- Comparing the CarbonTracker and TM5-4DVar data assimilation systems for CO<sub>2</sub> surface flux inversions A. Babenhauserheide et al. 10.5194/acp-15-9747-2015
- Interpreting the variability of space-borne CO<sub>2</sub> column-averaged volume mixing ratios over North America using a chemistry transport model P. Palmer et al. 10.5194/acp-8-5855-2008
- Technical Note: Adapting a fixed-lag Kalman smoother to a geostatistical atmospheric inversion framework A. Michalak 10.5194/acp-8-6789-2008
- Estimation of global CO2 fluxes at regional scale using the maximum likelihood ensemble filter R. Lokupitiya et al. 10.1029/2007JD009679
- Variational data assimilation for atmospheric CO<sub>2</sub> D. Baker et al. 10.1111/j.1600-0889.2006.00218.x
- Technical Note: Propagating correlations in atmospheric inversions using different Kalman update smoothers J. Tang & Q. Zhuang 10.5194/acp-11-921-2011
- On the Benefit of GOSAT Observations to the Estimation of Regional CO<sub>2</sub> Fluxes H. Takagi et al. 10.2151/sola.2011-041
- Top–down assessment of the Asian carbon budget since the mid 1990s R. Thompson et al. 10.1038/ncomms10724
- Technical Note: Comparison of ensemble Kalman filter and variational approaches for CO<sub>2</sub> data assimilation A. Chatterjee & A. Michalak 10.5194/acp-13-11643-2013
- Net terrestrial CO2exchange over China during 2001-2010 estimated with an ensemble data assimilation system for atmospheric CO2 H. Zhang et al. 10.1002/2013JD021297
- Solutions to the 3D Transport Equation and 1D Diffusion Equation for Passive Tracers in the Atmospheric Boundary Layer and Their Applications S. Ren 10.1175/JAS-D-18-0209.1
- On the parallelization of atmospheric inversions of CO<sub>2</sub> surface fluxes within a variational framework F. Chevallier 10.5194/gmd-6-783-2013
- Regional CO<sub>2</sub> fluxes from 2010 to 2015 inferred from GOSAT XCO<sub>2</sub> retrievals using a new version of the Global Carbon Assimilation System F. Jiang et al. 10.5194/acp-21-1963-2021
- Meteorological Control of Subtropical South American Methane Emissions Estimated from GOSAT Observations H. Takagi et al. 10.2151/sola.2021-037
- A Regional multi-Air Pollutant Assimilation System (RAPAS v1.0) for emission estimates: system development and application S. Feng et al. 10.5194/gmd-16-5949-2023
- U.S. emissions of HFC‐134a derived for 2008–2012 from an extensive flask‐air sampling network L. Hu et al. 10.1002/2014JD022617
- A review of applications of model–data fusion to studies of terrestrial carbon fluxes at different scales Y. Wang et al. 10.1016/j.agrformet.2009.07.009
- Comparison of the data‐driven top‐down and bottom‐up global terrestrial CO2 exchanges: GOSAT CO2 inversion and empirical eddy flux upscaling M. Kondo et al. 10.1002/2014JG002866
- The Historical Development of Large‐Scale Paleoclimate Field Reconstructions Over the Common Era J. Smerdon et al. 10.1029/2022RG000782
- The Community Inversion Framework v1.0: a unified system for atmospheric inversion studies A. Berchet et al. 10.5194/gmd-14-5331-2021
- Regional CO<sub>2</sub> flux estimates for 2009–2010 based on GOSAT and ground-based CO<sub>2</sub> observations S. Maksyutov et al. 10.5194/acp-13-9351-2013
- The CarbonTracker Data Assimilation Shell (CTDAS) v1.0: implementation and global carbon balance 2001–2015 I. van der Laan-Luijkx et al. 10.5194/gmd-10-2785-2017
- Adjoint of the global Eulerian–Lagrangian coupled atmospheric transport model (A-GELCA v1.0): development and validation D. Belikov et al. 10.5194/gmd-9-749-2016
- Diagnosing spatial error structures in CO<sub>2</sub> mole fractions and XCO<sub>2</sub> column mole fractions from atmospheric transport T. Lauvaux et al. 10.5194/acp-19-12007-2019
- CMAQ simulation of atmospheric CO2 concentration in East Asia: Comparison with GOSAT observations and ground measurements R. Li et al. 10.1016/j.atmosenv.2017.03.056
- Carbon flux bias estimation employing Maximum Likelihood Ensemble Filter (MLEF) D. Zupanski et al. 10.1029/2006JD008371
- An ensemble data assimilation system to estimate CO2 surface fluxes from atmospheric trace gas observations W. Peters et al. 10.1029/2005JD006157
- Carbon balances in US croplands during the last two decades of the twentieth century E. Lokupitiya et al. 10.1007/s10533-010-9546-y
58 citations as recorded by crossref.
- European CO2 fluxes from atmospheric inversions using regional and global transport models L. Rivier et al. 10.1007/s10584-010-9908-4
- Model-data interaction in groundwater studies: Review of methods, applications and future directions M. Rajabi et al. 10.1016/j.jhydrol.2018.09.053
- Atmospheric methane isotopic record favors fossil sources flat in 1980s and 1990s with recent increase A. Rice et al. 10.1073/pnas.1522923113
- Effect of assimilating CO2 observations in the Korean Peninsula on the inverse modeling to estimate surface CO2 flux over Asia M. Cho et al. 10.1371/journal.pone.0263925
- Seven years of recent European net terrestrial carbon dioxide exchange constrained by atmospheric observations W. PETERS et al. 10.1111/j.1365-2486.2009.02078.x
- Estimating surface CO<sub>2</sub> fluxes from space-borne CO<sub>2</sub> dry air mole fraction observations using an ensemble Kalman Filter L. Feng et al. 10.5194/acp-9-2619-2009
- Atmospheric inversions for estimating CO2 fluxes: methods and perspectives P. Ciais et al. 10.1007/s10584-010-9909-3
- CO<sub>2</sub> flux estimation errors associated with moist atmospheric processes N. Parazoo et al. 10.5194/acp-12-6405-2012
- Comparison between the Local Ensemble Transform Kalman Filter (LETKF) and 4D‐Var in atmospheric CO2 flux inversion with the Goddard Earth Observing System‐Chem model and the observation impact diagnostics from the LETKF J. Liu et al. 10.1002/2016JD025100
- Global and regional carbon budget for 2015–2020 inferred from OCO-2 based on an ensemble Kalman filter coupled with GEOS-Chem Y. Kong et al. 10.5194/acp-22-10769-2022
- Biological production in the Indian Ocean upwelling zones - Part 2: Data based estimates of variable compensation depth for ocean carbon models via cyclo-stationary Bayesian Inversion. M. Sreeush et al. 10.1016/j.dsr2.2019.07.007
- Estimation of global CO2 fluxes using ground-based and satellite (GOSAT) observation data with empirical orthogonal functions R. Zhuravlev et al. 10.1134/S1024856013060158
- The Integration of Photodiode and Camera for Visible Light Positioning by Using Fixed-Lag Ensemble Kalman Smoother Y. Zhuang et al. 10.3390/rs11111387
- CarbonTracker-CH<sub>4</sub>: an assimilation system for estimating emissions of atmospheric methane L. Bruhwiler et al. 10.5194/acp-14-8269-2014
- Influence of differences in current GOSATXCO2retrievals on surface flux estimation H. Takagi et al. 10.1002/2013GL059174
- A decadal inversion of CO<sub>2</sub> using the Global Eulerian–Lagrangian Coupled Atmospheric model (GELCA): sensitivity to the ground-based observation network T. Shirai et al. 10.1080/16000889.2017.1291158
- An extended Kalman-filter for regional scale inverse emission estimation D. Brunner et al. 10.5194/acp-12-3455-2012
- Estimating aerosol emission from SPEXone on the NASA PACE mission using an ensemble Kalman smoother: observing system simulation experiments (OSSEs) A. Tsikerdekis et al. 10.5194/gmd-15-3253-2022
- A global carbon assimilation system based on a dual optimization method H. Zheng et al. 10.5194/bg-12-1131-2015
- Methane chemistry in a nutshell – the new submodels CH4 (v1.0) and TRSYNC (v1.0) in MESSy (v2.54.0) F. Winterstein & P. Jöckel 10.5194/gmd-14-661-2021
- Development of the WRF-CO2 4D-Var assimilation system v1.0 T. Zheng et al. 10.5194/gmd-11-1725-2018
- Continued emissions of carbon tetrachloride from the United States nearly two decades after its phaseout for dispersive uses L. Hu et al. 10.1073/pnas.1522284113
- European CH4 inversions with ICON-ART coupled to the CarbonTracker Data Assimilation Shell M. Steiner et al. 10.5194/acp-24-2759-2024
- Inverting the East Asian Dust Emission Fluxes Using the Ensemble Kalman Smoother and Himawari-8 AODs: A Case Study with WRF-Chem v3.5.1 T. Dai et al. 10.3390/atmos10090543
- Optimal estimation of the present‐day global methane budget L. Neef et al. 10.1029/2009GB003661
- Application of Ensemble Kalman Smoothing in Inverse Modeling of Advection and Diffusion E. Klimova 10.1134/S1995423924030030
- Assimilation of POLDER observations to estimate aerosol emissions A. Tsikerdekis et al. 10.5194/acp-23-9495-2023
- Improving the joint estimation of CO2 and surface carbon fluxes using a constrained ensemble Kalman filter in COLA (v1.0) Z. Liu et al. 10.5194/gmd-15-5511-2022
- Inter-annual variability of summertime CO 2 exchange in Northern Eurasia inferred from GOSAT XCO 2 M. Ishizawa et al. 10.1088/1748-9326/11/10/105001
- Estimating Aerosol Emissions by Assimilating Remote Sensing Observations into a Global Transport Model N. Schutgens et al. 10.3390/rs4113528
- Global and Regional CH4 Emissions for 1995–2013 Derived From Atmospheric CH4, δ13C‐CH4, and δD‐CH4 Observations and a Chemical Transport Model R. Fujita et al. 10.1029/2020JD032903
- Influence of CO<sub>2</sub> observations on the optimized CO<sub>2</sub> flux in an ensemble Kalman filter J. Kim et al. 10.5194/acp-14-13515-2014
- Enhanced Methane Emissions during Amazonian Drought by Biomass Burning M. Saito et al. 10.1371/journal.pone.0166039
- Comparing the CarbonTracker and TM5-4DVar data assimilation systems for CO<sub>2</sub> surface flux inversions A. Babenhauserheide et al. 10.5194/acp-15-9747-2015
- Interpreting the variability of space-borne CO<sub>2</sub> column-averaged volume mixing ratios over North America using a chemistry transport model P. Palmer et al. 10.5194/acp-8-5855-2008
- Technical Note: Adapting a fixed-lag Kalman smoother to a geostatistical atmospheric inversion framework A. Michalak 10.5194/acp-8-6789-2008
- Estimation of global CO2 fluxes at regional scale using the maximum likelihood ensemble filter R. Lokupitiya et al. 10.1029/2007JD009679
- Variational data assimilation for atmospheric CO<sub>2</sub> D. Baker et al. 10.1111/j.1600-0889.2006.00218.x
- Technical Note: Propagating correlations in atmospheric inversions using different Kalman update smoothers J. Tang & Q. Zhuang 10.5194/acp-11-921-2011
- On the Benefit of GOSAT Observations to the Estimation of Regional CO<sub>2</sub> Fluxes H. Takagi et al. 10.2151/sola.2011-041
- Top–down assessment of the Asian carbon budget since the mid 1990s R. Thompson et al. 10.1038/ncomms10724
- Technical Note: Comparison of ensemble Kalman filter and variational approaches for CO<sub>2</sub> data assimilation A. Chatterjee & A. Michalak 10.5194/acp-13-11643-2013
- Net terrestrial CO2exchange over China during 2001-2010 estimated with an ensemble data assimilation system for atmospheric CO2 H. Zhang et al. 10.1002/2013JD021297
- Solutions to the 3D Transport Equation and 1D Diffusion Equation for Passive Tracers in the Atmospheric Boundary Layer and Their Applications S. Ren 10.1175/JAS-D-18-0209.1
- On the parallelization of atmospheric inversions of CO<sub>2</sub> surface fluxes within a variational framework F. Chevallier 10.5194/gmd-6-783-2013
- Regional CO<sub>2</sub> fluxes from 2010 to 2015 inferred from GOSAT XCO<sub>2</sub> retrievals using a new version of the Global Carbon Assimilation System F. Jiang et al. 10.5194/acp-21-1963-2021
- Meteorological Control of Subtropical South American Methane Emissions Estimated from GOSAT Observations H. Takagi et al. 10.2151/sola.2021-037
- A Regional multi-Air Pollutant Assimilation System (RAPAS v1.0) for emission estimates: system development and application S. Feng et al. 10.5194/gmd-16-5949-2023
- U.S. emissions of HFC‐134a derived for 2008–2012 from an extensive flask‐air sampling network L. Hu et al. 10.1002/2014JD022617
- A review of applications of model–data fusion to studies of terrestrial carbon fluxes at different scales Y. Wang et al. 10.1016/j.agrformet.2009.07.009
- Comparison of the data‐driven top‐down and bottom‐up global terrestrial CO2 exchanges: GOSAT CO2 inversion and empirical eddy flux upscaling M. Kondo et al. 10.1002/2014JG002866
- The Historical Development of Large‐Scale Paleoclimate Field Reconstructions Over the Common Era J. Smerdon et al. 10.1029/2022RG000782
- The Community Inversion Framework v1.0: a unified system for atmospheric inversion studies A. Berchet et al. 10.5194/gmd-14-5331-2021
- Regional CO<sub>2</sub> flux estimates for 2009–2010 based on GOSAT and ground-based CO<sub>2</sub> observations S. Maksyutov et al. 10.5194/acp-13-9351-2013
- The CarbonTracker Data Assimilation Shell (CTDAS) v1.0: implementation and global carbon balance 2001–2015 I. van der Laan-Luijkx et al. 10.5194/gmd-10-2785-2017
- Adjoint of the global Eulerian–Lagrangian coupled atmospheric transport model (A-GELCA v1.0): development and validation D. Belikov et al. 10.5194/gmd-9-749-2016
- Diagnosing spatial error structures in CO<sub>2</sub> mole fractions and XCO<sub>2</sub> column mole fractions from atmospheric transport T. Lauvaux et al. 10.5194/acp-19-12007-2019
- CMAQ simulation of atmospheric CO2 concentration in East Asia: Comparison with GOSAT observations and ground measurements R. Li et al. 10.1016/j.atmosenv.2017.03.056
3 citations as recorded by crossref.
- Carbon flux bias estimation employing Maximum Likelihood Ensemble Filter (MLEF) D. Zupanski et al. 10.1029/2006JD008371
- An ensemble data assimilation system to estimate CO2 surface fluxes from atmospheric trace gas observations W. Peters et al. 10.1029/2005JD006157
- Carbon balances in US croplands during the last two decades of the twentieth century E. Lokupitiya et al. 10.1007/s10533-010-9546-y
Saved (final revised paper)
Saved (preprint)
Latest update: 21 Nov 2024
Altmetrics
Final-revised paper
Preprint