Articles | Volume 12, issue 7
https://doi.org/10.5194/gmd-12-2899-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-12-2899-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
12 Jul 2019
Development and technical paper |
| 12 Jul 2019
| 12 Jul 2019
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
Yun Liu
Dept. of Atmospheric and Oceanic Science, University of Maryland – College Park, Maryland, USA
Dept. of Oceanography, Texas A & M university, College Station, TX, USA
Dept. of Atmospheric and Oceanic Science, University of Maryland – College Park, Maryland, USA
Dept. of Atmospheric and Oceanic Science, University of Maryland – College Park, Maryland, USA
Ghassem Asrar
Joint Global Change Research Institute/PNNL, College Park, MD, USA
Zhaohui Chen
School of Environmental Science, University of East Anglia, Norwich, UK
Binghao Jia
State Key Laboratory of Numerical Modeling for Atmospheric Sciences and
Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing, China
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Cited
15 citations as recorded by crossref.
- A meteorologically adjusted ensemble Kalman filter approach for inversing daily emissions: A case study in the Pearl River Delta, China G. Jia et al. 10.1016/j.jes.2021.08.048
- 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
- An aerosol vertical data assimilation system (NAQPMS-PDAF v1.0): development and application H. Wang et al. 10.5194/gmd-15-3555-2022
- CO2 Flux over the Contiguous United States in 2016 Inverted by WRF-Chem/DART from OCO-2 XCO2 Retrievals Q. Zhang et al. 10.3390/rs13152996
- Variability of North Atlantic CO<sub>2</sub> fluxes for the 2000–2017 period estimated from atmospheric inverse analyses Z. Chen et al. 10.5194/bg-18-4549-2021
- 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
- Global to local impacts on atmospheric CO2from the COVID-19 lockdown, biosphere and weather variabilities N. Zeng et al. 10.1088/1748-9326/ac3f62
- 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
- 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
- Detection of Chinese Spring Festival in Beijing using in-situ CO2 observations and atmospheric inversion Z. Liu et al. 10.1016/j.atmosenv.2024.120446
- On Oceanic Initial State Errors in the Ensemble Data Assimilation for a Coupled General Circulation Model Y. Chen et al. 10.1029/2022MS003106
- Regional CO2 Inversion Through Ensemble‐Based Simultaneous State and Parameter Estimation: TRACE Framework and Controlled Experiments H. Chen et al. 10.1029/2022MS003208
- Impact of the horizontal resolution of GEOS-Chem on land‒ocean and tropic‒extratropic partitioning and seasonal cycle in CO2 inversion Z. Liu et al. 10.1088/1748-9326/ad7870
- Weaker regional carbon uptake albeit with stronger seasonal amplitude in northern mid-latitudes estimated by higher resolution GEOS-Chem model Z. Liu et al. 10.1016/j.scitotenv.2023.169477
- CHEEREIO 1.0: a versatile and user-friendly ensemble-based chemical data assimilation and emissions inversion platform for the GEOS-Chem chemical transport model D. Pendergrass et al. 10.5194/gmd-16-4793-2023
15 citations as recorded by crossref.
- A meteorologically adjusted ensemble Kalman filter approach for inversing daily emissions: A case study in the Pearl River Delta, China G. Jia et al. 10.1016/j.jes.2021.08.048
- 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
- An aerosol vertical data assimilation system (NAQPMS-PDAF v1.0): development and application H. Wang et al. 10.5194/gmd-15-3555-2022
- CO2 Flux over the Contiguous United States in 2016 Inverted by WRF-Chem/DART from OCO-2 XCO2 Retrievals Q. Zhang et al. 10.3390/rs13152996
- Variability of North Atlantic CO<sub>2</sub> fluxes for the 2000–2017 period estimated from atmospheric inverse analyses Z. Chen et al. 10.5194/bg-18-4549-2021
- 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
- Global to local impacts on atmospheric CO2from the COVID-19 lockdown, biosphere and weather variabilities N. Zeng et al. 10.1088/1748-9326/ac3f62
- 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
- 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
- Detection of Chinese Spring Festival in Beijing using in-situ CO2 observations and atmospheric inversion Z. Liu et al. 10.1016/j.atmosenv.2024.120446
- On Oceanic Initial State Errors in the Ensemble Data Assimilation for a Coupled General Circulation Model Y. Chen et al. 10.1029/2022MS003106
- Regional CO2 Inversion Through Ensemble‐Based Simultaneous State and Parameter Estimation: TRACE Framework and Controlled Experiments H. Chen et al. 10.1029/2022MS003208
- Impact of the horizontal resolution of GEOS-Chem on land‒ocean and tropic‒extratropic partitioning and seasonal cycle in CO2 inversion Z. Liu et al. 10.1088/1748-9326/ad7870
- Weaker regional carbon uptake albeit with stronger seasonal amplitude in northern mid-latitudes estimated by higher resolution GEOS-Chem model Z. Liu et al. 10.1016/j.scitotenv.2023.169477
- CHEEREIO 1.0: a versatile and user-friendly ensemble-based chemical data assimilation and emissions inversion platform for the GEOS-Chem chemical transport model D. Pendergrass et al. 10.5194/gmd-16-4793-2023
Latest update: 10 Dec 2024
Short summary
We developed a new carbon data assimilation system to estimate the surface carbon fluxes using the LETKF and GEOS-Chem model, which uses a new scheme with a short
assimilation windowand a long
observation window. The analysis is more accurate using the short assimilation window and is exposed to the future observations that accelerate the spin-up. In OSSE, the system reduces the analysis error significantly, suggesting that this method could be used for other data assimilation problems.
We developed a new carbon data assimilation system to estimate the surface carbon fluxes using...
