Articles | Volume 7, issue 4
https://doi.org/10.5194/gmd-7-1829-2014
© Author(s) 2014. 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-7-1829-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development and technical paper
| 
29 Aug 2014
Development and technical paper |
| 29 Aug 2014
Optimization of a prognostic biosphere model for terrestrial biomass and atmospheric CO2 variability
Center for Global Environmental Research, National Institute for Environmental Studies, Tsukuba, Japan
previously at: Laboratoire des Sciences du Climat et de l'Environnement, UMR8212, CEA-CNRS-UVSQ, 91191 Gif sur Yvette, France
Center for Global Environmental Research, National Institute for Environmental Studies, Tsukuba, Japan
S. Maksyutov
Center for Global Environmental Research, National Institute for Environmental Studies, Tsukuba, Japan
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Cited
14 citations as recorded by crossref.
- 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. https://doi.org/10.1002/2014JG002866
- On what scales can GOSAT flux inversions constrain anomalies in terrestrial ecosystems? B. Byrne et al. https://doi.org/10.5194/acp-19-13017-2019
- 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. https://doi.org/10.1080/16000889.2017.1291158
- Adjoint of the global Eulerian–Lagrangian coupled atmospheric transport model (A-GELCA v1.0): development and validation D. Belikov et al. https://doi.org/10.5194/gmd-9-749-2016
- Current and future carbon budget at Takayama site, Japan, evaluated by a regional climate model and a process-based terrestrial ecosystem model M. Kuribayashi et al. https://doi.org/10.1007/s00484-016-1278-9
- Top–down assessment of the Asian carbon budget since the mid 1990s R. Thompson et al. https://doi.org/10.1038/ncomms10724
- Assessing Lagrangian inverse modelling of urban anthropogenic CO2 fluxes using in situ aircraft and ground-based measurements in the Tokyo area I. Pisso et al. https://doi.org/10.1186/s13021-019-0118-8
- Technical note: A high-resolution inverse modelling technique for estimating surface CO2 fluxes based on the NIES-TM–FLEXPART coupled transport model and its adjoint S. Maksyutov et al. https://doi.org/10.5194/acp-21-1245-2021
- Estimating carbon fixation of plant organs for afforestation monitoring using a process‐based ecosystem model and ecophysiological parameter optimization T. Miyauchi et al. https://doi.org/10.1002/ece3.5328
- Constraining a land-surface model with multiple observations by application of the MPI-Carbon Cycle Data Assimilation System V1.0 G. Schürmann et al. https://doi.org/10.5194/gmd-9-2999-2016
- Process-based modeling of solar-induced chlorophyll fluorescence with VISIT-SIF version 1.0 T. Miyauchi et al. https://doi.org/10.5194/gmd-18-2329-2025
- Comparing GOSAT observations of localized CO2 enhancements by large emitters with inventory‐based estimates R. Janardanan et al. https://doi.org/10.1002/2016GL067843
- A new stepwise carbon cycle data assimilation system using multiple data streams to constrain the simulated land surface carbon cycle P. Peylin et al. https://doi.org/10.5194/gmd-9-3321-2016
- Inter-annual variability of summertime CO 2 exchange in Northern Eurasia inferred from GOSAT XCO 2 M. Ishizawa et al. https://doi.org/10.1088/1748-9326/11/10/105001
14 citations as recorded by crossref.
- 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. https://doi.org/10.1002/2014JG002866
- On what scales can GOSAT flux inversions constrain anomalies in terrestrial ecosystems? B. Byrne et al. https://doi.org/10.5194/acp-19-13017-2019
- 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. https://doi.org/10.1080/16000889.2017.1291158
- Adjoint of the global Eulerian–Lagrangian coupled atmospheric transport model (A-GELCA v1.0): development and validation D. Belikov et al. https://doi.org/10.5194/gmd-9-749-2016
- Current and future carbon budget at Takayama site, Japan, evaluated by a regional climate model and a process-based terrestrial ecosystem model M. Kuribayashi et al. https://doi.org/10.1007/s00484-016-1278-9
- Top–down assessment of the Asian carbon budget since the mid 1990s R. Thompson et al. https://doi.org/10.1038/ncomms10724
- Assessing Lagrangian inverse modelling of urban anthropogenic CO2 fluxes using in situ aircraft and ground-based measurements in the Tokyo area I. Pisso et al. https://doi.org/10.1186/s13021-019-0118-8
- Technical note: A high-resolution inverse modelling technique for estimating surface CO2 fluxes based on the NIES-TM–FLEXPART coupled transport model and its adjoint S. Maksyutov et al. https://doi.org/10.5194/acp-21-1245-2021
- Estimating carbon fixation of plant organs for afforestation monitoring using a process‐based ecosystem model and ecophysiological parameter optimization T. Miyauchi et al. https://doi.org/10.1002/ece3.5328
- Constraining a land-surface model with multiple observations by application of the MPI-Carbon Cycle Data Assimilation System V1.0 G. Schürmann et al. https://doi.org/10.5194/gmd-9-2999-2016
- Process-based modeling of solar-induced chlorophyll fluorescence with VISIT-SIF version 1.0 T. Miyauchi et al. https://doi.org/10.5194/gmd-18-2329-2025
- Comparing GOSAT observations of localized CO2 enhancements by large emitters with inventory‐based estimates R. Janardanan et al. https://doi.org/10.1002/2016GL067843
- A new stepwise carbon cycle data assimilation system using multiple data streams to constrain the simulated land surface carbon cycle P. Peylin et al. https://doi.org/10.5194/gmd-9-3321-2016
- Inter-annual variability of summertime CO 2 exchange in Northern Eurasia inferred from GOSAT XCO 2 M. Ishizawa et al. https://doi.org/10.1088/1748-9326/11/10/105001
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