Articles | Volume 8, issue 9
https://doi.org/10.5194/gmd-8-2841-2015
© Author(s) 2015. 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-8-2841-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Model experiment description paper
| 
09 Sep 2015
Model experiment description paper |
| 09 Sep 2015
The GRENE-TEA model intercomparison project (GTMIP): overview and experiment protocol for Stage 1
S. Miyazaki
Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan
National Institute of Polar Research, Tachikawa, Japan
now at: Sonic Corporation, Tachikawa, Japan
K. Saito
CORRESPONDING AUTHOR
Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan
J. Mori
Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan
National Institute of Polar Research, Tachikawa, Japan
T. Yamazaki
Graduate School of Science, Tohoku University, Sendai, Japan
T. Ise
Field Science Education and Research Center, Kyoto University, Kyoto, Japan
H. Arakida
Advanced Institute for Computational Science, RIKEN, Kobe, Japan
T. Hajima
Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan
Y. Iijima
National Institute of Polar Research, Tachikawa, Japan
H. Machiya
Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan
National Institute of Polar Research, Tachikawa, Japan
T. Sueyoshi
Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan
National Institute of Polar Research, Tachikawa, Japan
H. Yabuki
Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan
National Institute of Polar Research, Tachikawa, Japan
E. J. Burke
Met Office Hadley Centre, Exeter, UK
M. Hosaka
Meteorological Research Institute, Tsukuba, Japan
Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan
H. Ikawa
National Institute for Agro-Environmental Sciences, Tsukuba, Japan
National Institute for Environmental Studies, Tsukuba, Japan
A. Kotani
Graduate School of Bioagricultural Sciences, Nagoya University, Nagoya, Japan
Y. Matsuura
Forestry and Forest products Research Institute, Tsukuba, Japan
M. Niwano
Meteorological Research Institute, Tsukuba, Japan
T. Nitta
Atmosphere and Ocean Research Institute, The University of Tokyo, Kashiwa, Japan
R. O'ishi
Atmosphere and Ocean Research Institute, The University of Tokyo, Kashiwa, Japan
National Institute of Polar Research, Tachikawa, Japan
T. Ohta
Graduate School of Bioagricultural Sciences, Nagoya University, Nagoya, Japan
Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan
T. Sasai
Faculty of Life and Environmental Science, University of Tsukuba, Tsukuba, Japan
A. Sato
Snow and Ice Research Center, National Research Institute for Earth Science and Disaster Prevention, Nagaoka, Japan
Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan
A. Sugimoto
Faculty of Environmental Earth Science, Hokkaido University, Sapporo, Japan
R. Suzuki
Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan
K. Tanaka
Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan
S. Yamaguchi
Snow and Ice Research Center, National Research Institute for Earth Science and Disaster Prevention, Nagaoka, Japan
K. Yoshimura
Atmosphere and Ocean Research Institute, The University of Tokyo, Kashiwa, Japan
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Cited
13 citations as recorded by crossref.
- Rapid change of the Arctic climate system and its global influences - Overview of GRENE Arctic climate change research project (2011–2016) T. Yamanouchi & K. Takata 10.1016/j.polar.2020.100548
- Numerical Assessments of Excess Ice Impacts on Permafrost and Greenhouse Gases in a Siberian Tundra Site Under a Warming Climate H. Park et al. 10.3389/feart.2021.704447
- Extremely dry environment down-regulates nighttime respiration of a black spruce forest in Interior Alaska H. Nagano et al. 10.1016/j.agrformet.2017.11.001
- Laboratory examination of greenhouse gaseous and microbial dynamics during thawing of frozen soil core collected from a black spruce forest in Interior Alaska H. Nagano et al. 10.1080/00380768.2018.1525267
- Modeling the Effect of Moss Cover on Soil Temperature and Carbon Fluxes at a Tundra Site in Northeastern Siberia H. Park et al. 10.1029/2018JG004491
- Mapping simulated circum-Arctic organic carbon, ground ice, and vulnerability of ice-rich permafrost to degradation K. Saito et al. 10.1186/s40645-020-00345-z
- Quantitative Separation of Precipitation and Permafrost Waters Used for Evapotranspiration in a Boreal Forest: A Numerical Study Using Tracer Model H. Park et al. 10.1029/2021JG006645
- Contribution of water rejuvenation induced by climate warming to evapotranspiration in a Siberian boreal forest H. Park et al. 10.3389/feart.2022.1037668
- The GRENE-TEA model intercomparison project (GTMIP) Stage 1 forcing data set T. Sueyoshi et al. 10.5194/essd-8-1-2016
- Reconciliation of top-down and bottom-up CO 2 fluxes in Siberian larch forest K. Takata et al. 10.1088/1748-9326/aa926d
- Energy-water budget analysis of an Arctic terrestrial models intercomparison GTMIP K. SAITO et al. 10.5331/seppyo.80.2_159
- Numerical model to simulate long-term soil organic carbon and ground ice budget with permafrost and ice sheets (SOC-ICE-v1.0) K. Saito et al. 10.5194/gmd-14-521-2021
- The GRENE-TEA Model Intercomparison Project (GTMIP) stage 1 forcing dataset T. Sueyoshi et al. 10.5194/essdd-8-703-2015
12 citations as recorded by crossref.
- Rapid change of the Arctic climate system and its global influences - Overview of GRENE Arctic climate change research project (2011–2016) T. Yamanouchi & K. Takata 10.1016/j.polar.2020.100548
- Numerical Assessments of Excess Ice Impacts on Permafrost and Greenhouse Gases in a Siberian Tundra Site Under a Warming Climate H. Park et al. 10.3389/feart.2021.704447
- Extremely dry environment down-regulates nighttime respiration of a black spruce forest in Interior Alaska H. Nagano et al. 10.1016/j.agrformet.2017.11.001
- Laboratory examination of greenhouse gaseous and microbial dynamics during thawing of frozen soil core collected from a black spruce forest in Interior Alaska H. Nagano et al. 10.1080/00380768.2018.1525267
- Modeling the Effect of Moss Cover on Soil Temperature and Carbon Fluxes at a Tundra Site in Northeastern Siberia H. Park et al. 10.1029/2018JG004491
- Mapping simulated circum-Arctic organic carbon, ground ice, and vulnerability of ice-rich permafrost to degradation K. Saito et al. 10.1186/s40645-020-00345-z
- Quantitative Separation of Precipitation and Permafrost Waters Used for Evapotranspiration in a Boreal Forest: A Numerical Study Using Tracer Model H. Park et al. 10.1029/2021JG006645
- Contribution of water rejuvenation induced by climate warming to evapotranspiration in a Siberian boreal forest H. Park et al. 10.3389/feart.2022.1037668
- The GRENE-TEA model intercomparison project (GTMIP) Stage 1 forcing data set T. Sueyoshi et al. 10.5194/essd-8-1-2016
- Reconciliation of top-down and bottom-up CO 2 fluxes in Siberian larch forest K. Takata et al. 10.1088/1748-9326/aa926d
- Energy-water budget analysis of an Arctic terrestrial models intercomparison GTMIP K. SAITO et al. 10.5331/seppyo.80.2_159
- Numerical model to simulate long-term soil organic carbon and ground ice budget with permafrost and ice sheets (SOC-ICE-v1.0) K. Saito et al. 10.5194/gmd-14-521-2021
1 citations as recorded by crossref.
Saved (final revised paper)
Latest update: 06 Dec 2023
Short summary
The paper provides an overall outlook and the Stage 1 experiment (site simulations) protocol of GTMIP, an open model intercomparison project for terrestrial Arctic, conducted as an activity of the Japan-funded Arctic Climate Change Research Project (GRENE-TEA). Models are driven by 34-year data created with the GRENE-TEA observations at four sites in Finland, Siberia and Alaska, and evaluated for physico-ecological key processes: energy budgets, snow, permafrost, phenology, and carbon budget.
The paper provides an overall outlook and the Stage 1 experiment (site simulations) protocol of...
