The GRENE-TEA model intercomparison project (GTMIP): overview and experiment protocol for Stage 1
The GRENE-TEA model intercomparison project (GTMIP): overview and experiment protocol for Stage 1
复制标题
DOI：
10.5194/gmd-8-2841-2015
复制
发表时间：
2015-09
影响因子：
5.1
通讯作者：
S. Miyazaki;Kazuyuki Saito;J. Mori;T. Yamazaki;T. Ise;H. Arakida;T. Hajima;Y. Iijima;H. Machiya;T. Sueyoshi;H. Yabuki;E. Burke;M. Hosaka;K. Ichii;H. Ikawa;A. Ito;A. Kotani;Y. Matsuura;M. Niwano;T. Nitta;Ryouta O’ishi;T. Ohta;Hotaek Park;T. Sasai;A. Sato;Hisashi Sato;A. Sugimoto;R. Suzuki;K. Tanaka;S. Yamaguchi;K. Yoshimura
中科院分区：
文献类型：
--
作者：
S. Miyazaki;Kazuyuki Saito;J. Mori;T. Yamazaki;T. Ise;H. Arakida;T. Hajima;Y. Iijima;H. Machiya;T. Sueyoshi;H. Yabuki;E. Burke;M. Hosaka;K. Ichii;H. Ikawa;A. Ito;A. Kotani;Y. Matsuura;M. Niwano;T. Nitta;Ryouta O’ishi;T. Ohta;Hotaek Park;T. Sasai;A. Sato;Hisashi Sato;A. Sugimoto;R. Suzuki;K. Tanaka;S. Yamaguchi;K. Yoshimura
抽象的。作为日本资助的北极气候变化研究项目陆地分支的一部分（GRENE-TEA），旨在澄清北极陆地在气候系统中的作用和功能，并评估其变化在全球范围内的影响，这个模型相互比较项目（GTMIP）的目的是：（1）加强模型科学家和实地科学家之间的交流和理解;（2）利用北极陆地区域的气候和历史条件，评估模型实施/设计和模型输出的可变性所产生的不确定性和变化。本文概述了所有GTMIP活动和第1阶段的实验协议，第1阶段是由使用GRENE-TEA站点观测在过去30年中创建的统计拟合数据驱动的站点模拟。模型评估的目标指标涵盖物理和地球化学的关键过程，包括能量预算，雪，永久冻土，物候和碳预算。四个指标（年平均潜热通量，年最大雪深，总初级生产力和净生态系统生产）的分布和季节性转变的示例性结果提供了一个前景的计划分析，将描绘的关键过程之间的相互依赖性，并提供线索，提高模型性能。
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 terrestrial Arctic in the climate system and assess the influence of its changes on a global scale, this model intercomparison project (GTMIP) is designed to (1) enhance communication and understanding between the modelling and field scientists and (2) assess the uncertainty and variations stemming from variability in model implementation/design and in model outputs using climatic and historical conditions in the Arctic terrestrial regions. This paper provides an overview of all GTMIP activity, and the experiment protocol of Stage 1, which is site simulations driven by statistically fitted data created using the GRENE-TEA site observations for the last 3 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. Exemplary results for distributions of four metrics (annual mean latent heat flux, annual maximum snow depth, gross primary production, and net ecosystem production) and for seasonal transitions are provided to give an outlook of the planned analysis that will delineate the inter-dependence among the key processes and provide clues for improving model performance.