Articles | Volume 7, issue 7
https://doi.org/10.5194/bg-7-2061-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/bg-7-2061-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
02 Jul 2010
Multi-model analysis of terrestrial carbon cycles in Japan: limitations and implications of model calibration using eddy flux observations
K. Ichii
Faculty of Symbiotic Systems Science, Fukushima University, 1 Kanayagawa, Fukushima, 960-1296, Japan
T. Suzuki
Faculty of Symbiotic Systems Science, Fukushima University, 1 Kanayagawa, Fukushima, 960-1296, Japan
T. Kato
Japan Agency for Marine-Earth Science and Technology, 3173-25, Showamachi, Kanazawa, Yokohama, 236-0001, Japan
QUEST, Department of Earth Science, University of Bristol, Wills Memorial Building, Queen's Road, Bristol, BS8 1RJ, UK
A. Ito
Japan Agency for Marine-Earth Science and Technology, 3173-25, Showamachi, Kanazawa, Yokohama, 236-0001, Japan
National Institute for Environmental Studies, 16-2, Onogawa, Tsukuba, 305-8506, Japan
T. Hajima
Japan Agency for Marine-Earth Science and Technology, 3173-25, Showamachi, Kanazawa, Yokohama, 236-0001, Japan
M. Ueyama
Graduate School of Life and Environmental Sciences, Osaka Prefecture University, 1-1 Gakuen-cho, Naka-ku, Sakai, Osaka, 599-8531, Japan
T. Sasai
Graduate School of Environmental Studies, Nagoya University, Furo-cho, Chikusa, Nagoya, 464-8601, Japan
R. Hirata
Graduate School of Agriculture, Hokkaido University, Kita 9 Nishi 9, Kita-ku, Sapporo, 060-8589, Japan
N. Saigusa
National Institute for Environmental Studies, 16-2, Onogawa, Tsukuba, 305-8506, Japan
Y. Ohtani
Forestry and Forest Products Research Institute, 1 Matsunosato, Tsukuba, 305-8687, Japan
K. Takagi
Field Science Center for Northern Biosphere, Hokkaido University, Toikanbetsu, Horonobe, 098-2943, Japan
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33 citations as recorded by crossref.
- Water-Use Efficiency of the Terrestrial Biosphere: A Model Analysis Focusing on Interactions between the Global Carbon and Water Cycles A. Ito & M. Inatomi https://doi.org/10.1175/JHM-D-10-05034.1
- Improving global gross primary productivity estimation by fusing multi-source data products Y. Zhang & A. Ye https://doi.org/10.1016/j.heliyon.2022.e09153
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- Regional-Scale Data Assimilation of a Terrestrial Ecosystem Model: Leaf Phenology Parameters Are Dependent on Local Climatic Conditions T. Ise et al. https://doi.org/10.3389/fenvs.2018.00095
- Terrestrial ecosystem model studies and their contributions to AsiaFlux A. ITO & K. ICHII https://doi.org/10.2480/agrmet.D-20-00024
- Divergent Responses of NPP to Climate Factors among Forest Types at Interannual and Inter-Monthly Scales: An Empirical Study on Four Typical Forest Types in Subtropical China X. Song et al. https://doi.org/10.3390/f14071474
- The role of carbon flux and biometric observations in constraining a terrestrial ecosystem model: a case study in disturbed forests in East Asia M. Kondo et al. https://doi.org/10.1007/s11284-013-1072-7
- New data‐driven estimation of terrestrial CO2 fluxes in Asia using a standardized database of eddy covariance measurements, remote sensing data, and support vector regression K. Ichii et al. https://doi.org/10.1002/2016JG003640
- Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years J. Xiao et al. https://doi.org/10.1016/j.rse.2019.111383
- Upscaling plot-scale soil respiration in winter wheat and summer maize rotation croplands in Julu County, North China N. Huang et al. https://doi.org/10.1016/j.jag.2016.10.003
- Spatio-Temporal Simulation of the Productivity of Four Typical Subtropical Forests: A Case Study of the Ganjiang River Basin in China Z. Wen et al. https://doi.org/10.3390/f16040603
- Satellite-driven estimation of terrestrial carbon flux over Far East Asia with 1-km grid resolution T. Sasai et al. https://doi.org/10.1016/j.rse.2011.03.007
- Change in surface energy balance in Alaska due to fire and spring warming, based on upscaling eddy covariance measurements M. Ueyama et al. https://doi.org/10.1002/2014JG002717
- Lessons learned from more than a decade of greenhouse gas flux measurements at boreal forests in eastern Siberia and interior Alaska T. Hiyama et al. https://doi.org/10.1016/j.polar.2020.100607
- 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
- Site-level model–data synthesis of terrestrial carbon fluxes in the CarboEastAsia eddy-covariance observation network: toward future modeling efforts K. Ichii et al. https://doi.org/10.1007/s10310-012-0367-9
- Spatial and seasonal variations of CO 2 flux and photosynthetic and respiratory parameters of larch forests in East Asia K. Takagi et al. https://doi.org/10.1080/00380768.2014.990349
- Quantifying the carbon uptake by vegetation for Europe on a 1 km2 resolution using a remote sensing driven vegetation model K. Wißkirchen et al. https://doi.org/10.5194/gmd-6-1623-2013
- The GRENE-TEA model intercomparison project (GTMIP): overview and experiment protocol for Stage 1 S. Miyazaki et al. https://doi.org/10.5194/gmd-8-2841-2015
- The carbon budget of terrestrial ecosystems in East Asia over the last two decades S. Piao et al. https://doi.org/10.5194/bg-9-3571-2012
- The sensitivity of carbon sequestration to harvesting and climate conditions in a temperate cypress forest: Observations and modeling M. Ueyama et al. https://doi.org/10.1016/j.ecolmodel.2011.05.006
- Regional CO2 flux estimates for 2009–2010 based on GOSAT and ground-based CO2 observations S. Maksyutov et al. https://doi.org/10.5194/acp-13-9351-2013
- Linking plant and ecosystem functional biogeography M. Reichstein et al. https://doi.org/10.1073/pnas.1216065111
- Sensitivity analysis of the typhoon disturbance effect on forest dynamics and carbon balance in the future in a cool-temperate forest in northern Japan by using SEIB-DGVM L. Wu et al. https://doi.org/10.1016/j.foreco.2019.117529
- The impact of climate variation and disturbances on the carbon balance of forests in Hokkaido, Japan R. Hirata et al. https://doi.org/10.5194/bg-11-5139-2014
- Sources of Uncertainty in Modeled Land Carbon Storage within and across Three MIPs: Diagnosis with Three New Techniques S. Zhou et al. https://doi.org/10.1175/JCLI-D-17-0357.1
- Modeling energy and carbon fluxes in a heterogeneous oak woodland: A three-dimensional approach H. Kobayashi et al. https://doi.org/10.1016/j.agrformet.2011.09.008
- Improving Global Gross Primary Productivity Estimation by Fusing Multi-Source Data Products Y. Zhang & A. Ye https://doi.org/10.2139/ssrn.3978981
- Evaluation of forest carbon uptake in South Korea using the national flux tower network, remote sensing, and data-driven technology S. Cho et al. https://doi.org/10.1016/j.agrformet.2021.108653
- Improving the Gross Primary Production Estimate by Merging and Downscaling Based on Deep Learning J. Lu et al. https://doi.org/10.3390/f14061201
- Decadal Variability in the Terrestrial Carbon Budget Caused by the Pacific Decadal Oscillation and Atlantic Multidecadal Oscillation A. ITO https://doi.org/10.2151/jmsj.2011-503
- Recent Changes in Terrestrial Gross Primary Productivity in Asia from 1982 to 2011 K. Ichii et al. https://doi.org/10.3390/rs5116043
- Transferability of an individual- and trait-based forest dynamics model: A test case across the tropics E. Rau et al. https://doi.org/10.1016/j.ecolmodel.2021.109801
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