Articles | Volume 8, issue 1
https://doi.org/10.5194/essd-8-1-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/essd-8-1-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
15 Jan 2016
The GRENE-TEA model intercomparison project (GTMIP) Stage 1 forcing data set
T. Sueyoshi
National Institute of Polar Research, Tachikawa,
Japan
Japan Agency for Marine-Earth Science and Technology,
Yokohama, Japan
K. Saito
CORRESPONDING AUTHOR
Japan Agency for Marine-Earth Science and Technology,
Yokohama, Japan
S. Miyazaki
National Institute of Polar Research, Tachikawa,
Japan
Japan Agency for Marine-Earth Science and Technology,
Yokohama, Japan
now at: Sonic Corporation, Tachikawa, Japan
J. Mori
National Institute of Polar Research, Tachikawa,
Japan
Japan Agency for Marine-Earth Science and Technology,
Yokohama, Japan
T. Ise
Kyoto University, Field Science Education and Research
Center, Kyoto, Japan
H. Arakida
RIKEN Advanced Institute for Computational Science, Kobe,
Japan
R. Suzuki
Japan Agency for Marine-Earth Science and Technology,
Yokohama, Japan
A. Sato
National Research Institute for Earth Science and Disaster
Prevention, Snow and Ice Research Center, Nagaoka, Japan
Y. Iijima
Japan Agency for Marine-Earth Science and Technology,
Yokohama, Japan
H. Yabuki
National Institute of Polar Research, Tachikawa,
Japan
Japan Agency for Marine-Earth Science and Technology,
Yokohama, Japan
H. Ikawa
National Institute for Agro-Environmental Sciences,
Tsukuba, Japan
T. Ohta
Nagoya University, Graduate School of Bioagricultural
Sciences, Nagoya, Japan
A. Kotani
Nagoya University, Graduate School of Bioagricultural
Sciences, Nagoya, Japan
T. Hajima
Japan Agency for Marine-Earth Science and Technology,
Yokohama, Japan
Japan Agency for Marine-Earth Science and Technology,
Yokohama, Japan
T. Yamazaki
Tohoku University, Graduate School of Science, Sendai,
Japan
A. Sugimoto
Hokkaido University, Faculty of Environmental Earth
Science, Sapporo, Japan
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- 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
- 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
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- The GRENE-TEA model intercomparison project (GTMIP): overview and experiment protocol for Stage 1 S. Miyazaki et al. 10.5194/gmd-8-2841-2015
5 citations as recorded by crossref.
- The effect of different solvents on the formation of large‐area MOF membranes F. Zhou et al. 10.1002/aic.18455
- Reconciliation of top-down and bottom-up CO 2 fluxes in Siberian larch forest K. Takata et al. 10.1088/1748-9326/aa926d
- 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
- 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
3 citations as recorded by crossref.
- 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
- The GRENE-TEA model intercomparison project (GTMIP): overview and experiment protocol for Stage 1 S. Miyazaki et al. 10.5194/gmd-8-2841-2015
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Short summary
This paper describes the construction of a forcing data set for land surface models (LSMs) with eight meteorological variables for the 35-year period from 1979 to 2013. The data set is intended for use in a model intercomparison (MIP) study, called GTMIP. In order to prepare a set of site-fitted forcing data for LSMs with realistic yet continuous entries, four observational sites were selected to construct a blended data set using both global reanalysis and observational data.
This paper describes the construction of a forcing data set for land surface models (LSMs) with...
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