Articles | Volume 10, issue 3
https://doi.org/10.5194/gmd-10-1157-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-10-1157-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
A 4D-Var inversion system based on the icosahedral grid model (NICAM-TM 4D-Var v1.0) – Part 1: Offline forward and adjoint transport models
Oceanography and Geochemistry Research Department, Meteorological Research Institute, Tsukuba, Japan
Hirofumi Tomita
RIKEN Advanced Institute for Computational Science, Kobe, Japan
Masaki Satoh
Atmosphere and Ocean Research Institute, The University of Tokyo, Kashiwa, Japan
Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan
Ryoichi Imasu
Atmosphere and Ocean Research Institute, The University of Tokyo, Kashiwa, Japan
Yousuke Sawa
Oceanography and Geochemistry Research Department, Meteorological Research Institute, Tsukuba, Japan
Kazuhiro Tsuboi
Oceanography and Geochemistry Research Department, Meteorological Research Institute, Tsukuba, Japan
Hidekazu Matsueda
Oceanography and Geochemistry Research Department, Meteorological Research Institute, Tsukuba, Japan
Toshinobu Machida
Center for Global Environmental Research, National Institute for Environmental Studies, Tsukuba, Japan
Motoki Sasakawa
Center for Global Environmental Research, National Institute for Environmental Studies, Tsukuba, Japan
Boris Belan
V. E. Zuev Institute of Atmospheric Optics, Russian Academy of Sciences, Siberian Branch, Tomsk, Russia
Nobuko Saigusa
Center for Global Environmental Research, National Institute for Environmental Studies, Tsukuba, Japan
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21 citations as recorded by crossref.
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- Sensitivity of biomass burning emissions estimates to land surface information M. Saito et al. 10.5194/bg-19-2059-2022
- Assessment of methane emissions from oil, gas and coal sectors across inventories and atmospheric inversions K. Tibrewal et al. 10.1038/s43247-023-01190-w
- Greenhouse gases Observing SATellite 2 (GOSAT-2): mission overview R. Imasu et al. 10.1186/s40645-023-00562-2
- Intercomparison of Atmospheric Carbonyl Sulfide (TransCom‐COS): 2. Evaluation of Optimized Fluxes Using Ground‐Based and Aircraft Observations J. Ma et al. 10.1029/2023JD039198
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- Seasonal evaluation of tropospheric CO<sub>2</sub> over the Asia-Pacific region observed by the CONTRAIL commercial airliner measurements T. Umezawa et al. 10.5194/acp-18-14851-2018
- Detection of fossil-fuel CO2 plummet in China due to COVID-19 by observation at Hateruma Y. Tohjima et al. 10.1038/s41598-020-75763-6
- The Community Inversion Framework v1.0: a unified system for atmospheric inversion studies A. Berchet et al. 10.5194/gmd-14-5331-2021
21 citations as recorded by crossref.
- Bias assessment of lower and middle tropospheric CO<sub>2</sub> concentrations of GOSAT/TANSO-FTS TIR version 1 product N. Saitoh et al. 10.5194/amt-10-3877-2017
- Multiscale assessment of North American terrestrial carbon balance K. Foster et al. 10.5194/bg-21-869-2024
- Estimation of CH4 emissions from the East Siberian Arctic Shelf based on atmospheric observations aboard the R/V Mirai during fall cruises from 2012 to 2017 Y. Tohjima et al. 10.1016/j.polar.2020.100571
- Comparing national greenhouse gas budgets reported in UNFCCC inventories against atmospheric inversions Z. Deng et al. 10.5194/essd-14-1639-2022
- A conjugate BFGS method for accurate estimation of a posterior error covariance matrix in a linear inverse problem Y. Niwa & Y. Fujii 10.1002/qj.3838
- An atmospheric perspective on the carbon budgets of terrestrial ecosystems in China: progress and challenges B. Chen et al. 10.1016/j.scib.2021.05.017
- Near-real-time estimation of fossil fuel CO2 emissions from China based on atmospheric observations on Hateruma and Yonaguni Islands, Japan Y. Tohjima et al. 10.1186/s40645-023-00542-6
- The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2019 A. Petrescu et al. 10.5194/essd-15-1197-2023
- Sensitivity of biomass burning emissions estimates to land surface information M. Saito et al. 10.5194/bg-19-2059-2022
- Assessment of methane emissions from oil, gas and coal sectors across inventories and atmospheric inversions K. Tibrewal et al. 10.1038/s43247-023-01190-w
- Greenhouse gases Observing SATellite 2 (GOSAT-2): mission overview R. Imasu et al. 10.1186/s40645-023-00562-2
- Intercomparison of Atmospheric Carbonyl Sulfide (TransCom‐COS): 2. Evaluation of Optimized Fluxes Using Ground‐Based and Aircraft Observations J. Ma et al. 10.1029/2023JD039198
- A 4D-Var inversion system based on the icosahedral grid model (NICAM-TM 4D-Var v1.0) – Part 2: Optimization scheme and identical twin experiment of atmospheric CO<sub>2</sub> inversion Y. Niwa et al. 10.5194/gmd-10-2201-2017
- The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2017 A. Petrescu et al. 10.5194/essd-13-2307-2021
- Ongoing CO2 monitoring verify CO2 emissions and sinks in China during 2018–2021 J. Zhong et al. 10.1016/j.scib.2023.08.039
- The Global Methane Budget 2000–2017 M. Saunois et al. 10.5194/essd-12-1561-2020
- Estimation of fire-induced carbon emissions from Equatorial Asia in 2015 using in situ aircraft and ship observations Y. Niwa et al. 10.5194/acp-21-9455-2021
- Intercomparison of Atmospheric Carbonyl Sulfide (TransCom‐COS; Part One): Evaluating the Impact of Transport and Emissions on Tropospheric Variability Using Ground‐Based and Aircraft Data M. Remaud et al. 10.1029/2022JD037817
- Seasonal evaluation of tropospheric CO<sub>2</sub> over the Asia-Pacific region observed by the CONTRAIL commercial airliner measurements T. Umezawa et al. 10.5194/acp-18-14851-2018
- Detection of fossil-fuel CO2 plummet in China due to COVID-19 by observation at Hateruma Y. Tohjima et al. 10.1038/s41598-020-75763-6
- The Community Inversion Framework v1.0: a unified system for atmospheric inversion studies A. Berchet et al. 10.5194/gmd-14-5331-2021
Discussed (final revised paper)
Discussed (preprint)
Latest update: 02 Nov 2024
Short summary
We have developed forward and adjoint models based on NICAM-TM, as part of the 4D-Var system for atmospheric GHGs inversions. The models are computationally efficient enough to make the 4D-Var iterative calculation feasible. Trajectory analysis for high-CO2 concentration events are performed to test adjoint sensitivities; we also demonstrate the potential usefulness of our adjoint model for diagnosing tracer transport.
We have developed forward and adjoint models based on NICAM-TM, as part of the 4D-Var system for...