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The GRENE-TEA Model Intercomparison Project (GTMIP): overview and experiment protocol for Stage 1.

Authors :
Miyazaki, S.
Saito, K.
Mori, J.
Yamazaki, T.
Ise, T.
Arakida, H.
Hajima, T.
Iijima, Y.
Machiya, H.
Sueyoshi, T.
Yabuki, H.
Burke, E. J.
Hosaka, M.
Ichii, K.
Ikawa, H.
Ito, A.
Kotani, A.
Matsuura, Y.
Niwano, M.
Nitta, T.
Source :
Geoscientific Model Development Discussions; 2015, Vol. 8 Issue 7, p3443-3479, 37p
Publication Year :
2015

Abstract

As part of the terrestrial branch of the Japan-funded Arctic Climate Change Research Project (GRENE-TEA), which aims to clarify the role and function of the Arctic terrestrial system in the climate system, and assess the influence of its changes on a global scale, this model intercomparison project (GTMIP) is planned and being conducted to (1) enhance communication and understanding between the "minds and hands" (i.e., between the modelling and field scientists) and (2) assess the uncertainty and variations stemming from variability in model implementation/design and in model outputs due to climatic and historical conditions in the Arctic terrestrial regions. This paper provides an overview and the experiment protocol of Stage 1 of the project, site simulations driven by statistically fitted data created using the GRENE-TEA site observations for the last three decades. The target metrics for the model evaluation cover key processes in both physics and biogeochemistry, including energy budgets, snow, permafrost, phenology, and carbon budgets. The preliminary results on four metrics (annual mean latent heat flux, annual maximum snow depth, gross primary production, and net ecosystem production) already demonstrate the range of variations in reproducibility among existing models and sites. Full analysis on annual as well as seasonal time scales, to be conducted upon completion of model outputs submission, will delineate inter-dependence among the key processes, and provide the clue for improving the model performance. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19919611
Volume :
8
Issue :
7
Database :
Complementary Index
Journal :
Geoscientific Model Development Discussions
Publication Type :
Academic Journal
Accession number :
108770024
Full Text :
https://doi.org/10.5194/gmdd-8-3443-2015