GTMIP level 1 Model output dataset (monthly and annual)

The modeling group (GTM) in the terrestrial ecosystem research project of the GRENE Arctic Climate Change Research Project (GRENE-TEA) aims to a)feed to the coupled global climate model (CGCM) research project for the possible improvement of the physical and ecological processes for the Arctic terrestrial modeling (excl. glaciers and ice sheets) in the extant terrestrial schemes in the CGCMs, and b) lay the foundations of the future-generation Arctic terrestrial model development. To achieve these goals GTM conducts a model intercomparison project (GTMIP) among the openly participating models. The GTMIP is designated to 1) enhance communications and understanding of the "mind and hands" between the modeling researchers and field scientists, 2) assess the uncertainty and variations stemmed from the extant model implementation/designation, and the variability due to climatic and historical conditions among the Arctic sites, and 3) feed such information and evaluations to the future-generation Arctic terrestrial model development. The GTMIP comprised of two stages: the first using observation data at the GRENE-TEA sites (stage 1) and the second using CGCM outputs for circumpolar regions (stage 2) to drive and validate the models. The meteorological variables provided for model forcing are total precipitation (Pr), air temperature at reference height (Tair), surface pressure (Psurf), wind speed at reference height (Wind), surface incident shortwave radiation (SWdown), surface incident long wave radiation (LWdown), and specific humidity at reference height (Qair). The stage 1 provides two levels of the half-hourly datasets for the GTMIP sites, namey level 0 (L0) and level 1 (L1) for Fairbanks (Poker Flat Research Range), Alaska, USA; Kevo (Kevo Research Station), Finland; Tiksi, Sakha Republic, Russian Federation; Yakutsk (Spasskaya Pad), Sakha Republic, Russian Federation. This level of the data (L1) is intended to be a site-fitted, ready-to-feed-into-the-model set of the above meteorological data, processed tactically from L0 data and local observations at/near the GRENE-TEA sites. GTMIP Lv1.0 Model output (monthly and annual) dataset consist of model output data calculated with L1 forcing data, and observation data of main elements. All data are calculated into monthly and annual value in unified format.GRENE北极气候变化研究项目（GRENE Arctic Climate Change Research Project）下属陆地生态系统研究项目的建模小组（GTM），其核心目标为：a）为耦合全球气候模型（coupled global climate model, CGCM）研究项目提供相关输入，以改进当前CGCM现有陆地方案中北极陆地建模（不含冰川与冰盖）相关的物理与生态过程；b）为下一代北极陆地模型的研发奠定基础。为达成上述目标，GTM发起了面向开放式模型参与的模型比对项目（model intercomparison project, GTMIP）。该项目旨在完成三项核心任务：1）增进建模研究者与野外科学家之间的“理念与实践”双向交流与认知；2）评估当前模型在实施与设计层面产生的不确定性与差异，以及北极各站点因气候与历史环境差异引发的变异性；3）将此类信息与评估结果应用于下一代北极陆地模型的研发。GTMIP分为两个实施阶段：第一阶段采用GRENE-TEA站点的观测数据（阶段1），第二阶段采用环极区域的CGCM输出数据驱动并验证模型。用于模型强迫（model forcing）的气象变量包括：总降水量（total precipitation, Pr）、参考高度处气温（air temperature at reference height, Tair）、地表气压（surface pressure, Psurf）、参考高度处风速（wind speed at reference height, Wind）、地表入射短波辐射（surface incident shortwave radiation, SWdown）、地表入射长波辐射（surface incident long wave radiation, LWdown）以及参考高度处比湿（specific humidity at reference height, Qair）。阶段1为GTMIP站点提供两个级别的半小时数据集，即级别0（L0）与级别1（L1），覆盖站点包括美国阿拉斯加州费尔班克斯（波克弗拉特研究站）、芬兰凯沃（凯沃研究站）、俄罗斯联邦萨哈共和国提克西、俄罗斯联邦萨哈共和国雅库茨克（斯帕斯卡亚帕德）。该级别数据（L1）为针对站点适配、可直接投入模型使用的上述气象数据集，由L0数据结合GRENE-TEA站点及周边的本地观测数据经针对性处理生成。GTMIP Lv1.0 模型输出（月度与年度）数据集包含基于L1强迫数据计算得到的模型输出数据，以及核心要素的观测数据。所有数据均统一格式换算为月度与年度值。