Articles | Volume 9, issue 8
https://doi.org/10.5194/acp-9-2619-2009
© Author(s) 2009. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-9-2619-2009
© Author(s) 2009. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
15 Apr 2009
Estimating surface CO2 fluxes from space-borne CO2 dry air mole fraction observations using an ensemble Kalman Filter
L. Feng
School of GeoSciences, University of Edinburgh, King's Buildings, Edinburgh EH9 3JN, UK
P. I. Palmer
School of GeoSciences, University of Edinburgh, King's Buildings, Edinburgh EH9 3JN, UK
H. Bösch
Department of Physics and Astronomy, University of Leicester, Leicester LE1 7RH, UK
S. Dance
Department of Mathematics and Department of Meteorology, University of Reading, Reading RG6 6BB, UK
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- Global Carbon Budget 2023 P. Friedlingstein et al. 10.5194/essd-15-5301-2023
- Global land mapping of satellite-observed CO2 total columns using spatio-temporal geostatistics Z. Zeng et al. 10.1080/17538947.2016.1156777
- Reviews and syntheses: guiding the evolution of the observing system for the carbon cycle through quantitative network design T. Kaminski & P. Rayner 10.5194/bg-14-4755-2017
- Real-data assimilation experiment with a joint data assimilation system: assimilating carbon dioxide mole fraction measurements from the Greenhouse gases Observing Satellite R. Han et al. 10.1080/16742834.2016.1133070
- A global synthesis inversion analysis of recent variability in CO<sub>2</sub> fluxes using GOSAT and in situ observations J. Wang et al. 10.5194/acp-18-11097-2018
- An 11-year record of XCO<sub>2</sub> estimates derived from GOSAT measurements using the NASA ACOS version 9 retrieval algorithm T. Taylor et al. 10.5194/essd-14-325-2022
- TanSat Mission Achievements: from Scientific Driving to Preliminary Observations Y. LIU et al. 10.11728/cjss2018.05.627
- A joint data assimilation system (Tan-Tracker) to simultaneously estimate surface CO<sub>2</sub> fluxes and 3-D atmospheric CO<sub>2</sub> concentrations from observations X. Tian et al. 10.5194/acp-14-13281-2014
- Assimilation of POLDER observations to estimate aerosol emissions A. Tsikerdekis et al. 10.5194/acp-23-9495-2023
- Observed and simulated features of the CO2 diurnal cycle in the boundary layer at Beijing and Hefei, China Y. Wang et al. 10.1007/s11434-014-0194-9
- Global Characterization of CO2 Column Retrievals from Shortwave-Infrared Satellite Observations of the Orbiting Carbon Observatory-2 Mission H. Boesch et al. 10.3390/rs3020270
- Accounting for CO2 variability over East Asia with a regional joint inversion system and its preliminary evaluation X. Kou et al. 10.1007/s13351-017-6149-8
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- Net carbon emissions from African biosphere dominate pan-tropical atmospheric CO2 signal P. Palmer et al. 10.1038/s41467-019-11097-w
- Detection of optical path in spectroscopic space-based observations of greenhouse gases: Application to GOSAT data processing S. Oshchepkov et al. 10.1029/2010JD015352
- The TanSat mission: preliminary global observations Y. Liu et al. 10.1016/j.scib.2018.08.004
- 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
- Estimation of Surface Methane Concentration based on the Ensemble Kalman Filter Algorithm using a Transport Chemical Model M. Platonova et al. 10.25205/1818-7900-2024-22-1-62-72
- Improving land surface models with FLUXNET data M. Williams et al. 10.5194/bg-6-1341-2009
- Measurement of atmospheric CO<sub>2</sub> column concentrations to cloud tops with a pulsed multi-wavelength airborne lidar J. Mao et al. 10.5194/amt-11-127-2018
- The First Global Carbon Dioxide Flux Map Derived from TanSat Measurements D. Yang et al. 10.1007/s00376-021-1179-7
- The Chinese carbon cycle data-assimilation system (Tan-Tracker) X. Tian et al. 10.1007/s11434-014-0238-1
- Quantifying the benefit of A-SCOPE data for reducing uncertainties in terrestrial carbon fluxes in CCDAS T. Kaminski et al. 10.1111/j.1600-0889.2010.00483.x
- Retrievals of atmospheric CO_2 from simulated space-borne measurements of backscattered near-infrared sunlight: accounting for aerosol effects A. Butz et al. 10.1364/AO.48.003322
- 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
- Evaluating the consistency between OCO-2 and OCO-3 XCO2 estimates derived from the NASA ACOS version 10 retrieval algorithm T. Taylor et al. 10.5194/amt-16-3173-2023
- Airborne lidar measurements of atmospheric CO2 column concentrations to cloud tops made during the 2017 ASCENDS/ABoVE campaign J. Mao et al. 10.5194/amt-17-1061-2024
- Atmospheric data support a multi-decadal shift in the global methane budget towards natural tropical emissions A. Drinkwater et al. 10.5194/acp-23-8429-2023
- A regional carbon data assimilation system and its preliminary evaluation in East Asia Z. Peng et al. 10.5194/acp-15-1087-2015
- 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
- Fundamentals of data assimilation applied to biogeochemistry P. Rayner et al. 10.5194/acp-19-13911-2019
- Consistent regional fluxes of CH<sub>4</sub> and CO<sub>2</sub> inferred from GOSAT proxy XCH<sub>4</sub> : XCO<sub>2</sub> retrievals, 2010–2014 L. Feng et al. 10.5194/acp-17-4781-2017
- Estimating Aerosol Emissions by Assimilating Remote Sensing Observations into a Global Transport Model N. Schutgens et al. 10.3390/rs4113528
- Assessing the potential and utilization of solar energy at the building-scale in Shanghai Z. Chen et al. 10.1016/j.scs.2022.103917
- A new space-borne perspective of crop productivity variations over the US Corn Belt P. Somkuti et al. 10.1016/j.agrformet.2019.107826
- Arctic Mission Benefit Analysis: impact of sea ice thickness, freeboard, and snow depth products on sea ice forecast performance T. Kaminski et al. 10.5194/tc-12-2569-2018
- Estimation of global CO2 fluxes using ground-based and satellite (GOSAT) observation data with empirical orthogonal functions R. Zhuravlev et al. 10.1134/S1024856013060158
- 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
- Review of Satellite Remote Sensing of Carbon Dioxide Inversion and Assimilation K. Hu et al. 10.3390/rs16183394
- Theoretical assessment of the ability of the MicroCarb satellite city-scan observing mode to estimate urban CO2 emissions K. Wu et al. 10.5194/amt-16-581-2023
- Issues in the assimilation of the sources of a trace gas by inverse modelling R. Bannister 10.1016/j.compfluid.2010.11.017
- Characterization of Tropospheric Emission Spectrometer (TES) CO<sub>2</sub> for carbon cycle science S. Kulawik et al. 10.5194/acp-10-5601-2010
- WOMBAT v1.0: a fully Bayesian global flux-inversion framework A. Zammit-Mangion et al. 10.5194/gmd-15-45-2022
- Potential improvements in global carbon flux estimates from a network of laser heterodyne radiometer measurements of column carbon dioxide P. Palmer et al. 10.5194/amt-12-2579-2019
- China's methane emissions derived from the inversion of GOSAT observations with a CMAQ and EnKS-based regional data assimilation system X. Kou et al. 10.1016/j.apr.2024.102333
- Evaluating a 3-D transport model of atmospheric CO<sub>2</sub> using ground-based, aircraft, and space-borne data L. Feng et al. 10.5194/acp-11-2789-2011
- Integration of surface-based and space-based atmospheric CO2 measurements for improving carbon flux estimates using a new developed 3-GAS inversion model S. Liu et al. 10.1016/j.atmosres.2024.107477
- CO2 Flux Inversion With a Regional Joint Data Assimilation System Based on CMAQ, EnKS, and Surface Observations Z. Peng et al. 10.1029/2022JD037154
- ECONOMIC ALGORITHM FOR EVALUATING THE PARAMETER FOR THE GLOBAL MODEL OF TRANSFER AND DIFFUSION M. Platonova & E. Klimova 10.33764/2618-981X-2020-4-1-123-128
- Greenhouse gas column observations from a portable spectrometer in Uganda N. Humpage et al. 10.5194/amt-17-5679-2024
- Source‐receptor relationships of column‐average CO2 and implications for the impact of observations on flux inversions J. Liu et al. 10.1002/2014JD022914
- Mission CO2ntrol: A Statistical Scientist's Role in Remote Sensing of Atmospheric Carbon Dioxide N. Cressie 10.1080/01621459.2017.1419136
- Errors and uncertainties in a gridded carbon dioxide emissions inventory T. Oda et al. 10.1007/s11027-019-09877-2
- An inversion model based on GEOS-Chem for estimating global and China's terrestrial carbon fluxes in 2019 C. Wu et al. 10.1016/j.accre.2023.01.001
- Evaluating the Ability of the Pre-Launch TanSat-2 Satellite to Quantify Urban CO2 Emissions K. Wu et al. 10.3390/rs15204904
- TransCom satellite intercomparison experiment: Construction of a bias corrected atmospheric CO2climatology R. Saito et al. 10.1029/2011JD016033
- Surface fluxes of bromoform and dibromomethane over the tropical western Pacific inferred from airborne in situ measurements L. Feng et al. 10.5194/acp-18-14787-2018
- 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
- Interpreting seasonal changes of low-tropospheric CO 2 over China based on SCIAMACHY observations during 2003–2011 W. Xi et al. 10.1016/j.atmosenv.2014.12.053
- Modeling global atmospheric CO<sub>2</sub> with improved emission inventories and CO<sub>2</sub> production from the oxidation of other carbon species R. Nassar et al. 10.5194/gmd-3-689-2010
- Application of Carbon Tracking System based on Ensemble Kalman Filter on the Diagnosis of Carbon Cycle in Asia J. Kim et al. 10.14191/Atmos.2012.22.4.415
- The carbon sink in China as seen from GOSAT with a regional inversion system based on the Community Multi-scale Air Quality (CMAQ) and ensemble Kalman smoother (EnKS) X. Kou et al. 10.5194/acp-23-6719-2023
- A remote sensing technique for global monitoring of power plant CO<sub>2</sub> emissions from space and related applications H. Bovensmann et al. 10.5194/amt-3-781-2010
- The Temporal and Spatial Distributions of the Near-Surface CO2 Concentrations in Central Asia and Analysis of Their Controlling Factors L. Cao et al. 10.3390/atmos8050085
- An intercomparison of inverse models for estimating sources and sinks of CO2 using GOSAT measurements S. Houweling et al. 10.1002/2014JD022962
- Robust algorithm for precise XCO2 retrieval using single observation of IPDA LIDAR H. Zhang et al. 10.1364/OE.482629
- Error correlation between CO<sub>2</sub> and CO as constraint for CO<sub>2</sub> flux inversions using satellite data H. Wang et al. 10.5194/acp-9-7313-2009
- Estimating regional methane surface fluxes: the relative importance of surface and GOSAT mole fraction measurements A. Fraser et al. 10.5194/acp-13-5697-2013
- Comparing national greenhouse gas budgets reported in UNFCCC inventories against atmospheric inversions Z. Deng et al. 10.5194/essd-14-1639-2022
- A Cluster of CO2 Change Characteristics with GOSAT Observations for Viewing the Spatial Pattern of CO2 Emission and Absorption D. Liu et al. 10.3390/atmos6111695
- Country-scale greenhouse gas budgets using shipborne measurements: a case study for the UK and Ireland C. Helfter et al. 10.5194/acp-19-3043-2019
- Numerical experiments with real data for estimating greenhouse gas fluxes in a region M. Platonova & E. Klimova 10.33764/2618-981X-2022-4-132-137
- The importance of transport model uncertainties for the estimation of CO<sub>2</sub> sources and sinks using satellite measurements S. Houweling et al. 10.5194/acp-10-9981-2010
- The Community Inversion Framework v1.0: a unified system for atmospheric inversion studies A. Berchet et al. 10.5194/gmd-14-5331-2021
- Verifying national inventory-based combustion emissions of CO2 across the UK and mainland Europe using satellite observations of atmospheric CO and CO2 T. Scarpelli et al. 10.5194/acp-24-10773-2024
- Carbon source/sink information provided by column CO<sub>2</sub> measurements from the Orbiting Carbon Observatory D. Baker et al. 10.5194/acp-10-4145-2010
- Fusion of multi-source near-surface CO2 concentration data based on high accuracy surface modeling Z. Mingwei et al. 10.1016/j.apr.2017.05.003
- CH4 concentrations over the Amazon from GOSAT consistent with in situ vertical profile data A. Webb et al. 10.1002/2016JD025263
- First Global Carbon Dioxide Maps Produced from TanSat Measurements D. Yang et al. 10.1007/s00376-018-7312-6
- Effects of the surface albedo on short-wave infrared detection of atmospheric CO2 . Chen Jie et al. 10.7498/aps.64.239201
- “Variable localization” in an ensemble Kalman filter: Application to the carbon cycle data assimilation J. Kang et al. 10.1029/2010JD014673
- Estimating surface carbon fluxes based on a local ensemble transform Kalman filter with a short assimilation window and a long observation window: an observing system simulation experiment test in GEOS-Chem 10.1 Y. Liu et al. 10.5194/gmd-12-2899-2019
- The Open-source Data Inventory for Anthropogenic CO<sub>2</sub>, version 2016 (ODIAC2016): a global monthly fossil fuel CO<sub>2</sub> gridded emissions data product for tracer transport simulations and surface flux inversions T. Oda et al. 10.5194/essd-10-87-2018
- Effect of Data Assimilation Parameters on The Optimized Surface CO2 Flux in Asia H. Kim et al. 10.1007/s13143-017-0049-9
- Combining GOSAT XCO2 observations over land and ocean to improve regional CO2 flux estimates F. Deng et al. 10.1002/2015JD024157
- Decadal Methane Emission Trend Inferred from Proxy GOSAT XCH4 Retrievals: Impacts of Transport Model Spatial Resolution S. Zhu et al. 10.1007/s00376-022-1434-6
- 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
- The 2015–2016 carbon cycle as seen from OCO-2 and the global in situ network S. Crowell et al. 10.5194/acp-19-9797-2019
- Origin, variability and age of biomass burning plumes intercepted during BORTAS-B D. Finch et al. 10.5194/acp-14-13789-2014
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