GTMIP meteorological driving dataset for the GRENE-TEA observation sites (level 1.0)

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.GRENE北极气候变化研究项目下属陆地生态系统研究项目（GRENE-TEA）中的陆地建模组（GTM）旨在达成两大目标：其一，为耦合全球气候模型（coupled global climate model, CGCM）研究项目提供支撑，以改进当前CGCM现有陆地方案中针对北极陆地建模（不含冰川与冰盖）的物理与生态过程；其二，为新一代北极陆地模型的研发奠定基础。为实现上述目标，GTM开展了一项面向公开参与模型的模型比对项目（GTMIP）。该项目旨在达成以下目标：1）增进建模研究者与野外科学家之间在思路与实践层面的沟通与互信；2）评估现有模型的实现与设计所带来的不确定性与差异，以及北极各站点由气候与历史条件引发的变异性；3）将此类信息与评估结果反馈至新一代北极陆地模型的研发工作中。GTMIP包含两个阶段：第一阶段采用GRENE-TEA站点的观测数据（阶段1），第二阶段采用环北极地区的CGCM输出数据驱动并验证各模型。用于模型强迫场的气象变量包括：总降水量（Pr）、参考高度气温（Tair）、地面气压（Psurf）、参考高度风速（Wind）、地表入射短波辐射（SWdown）、地表入射长波辐射（LWdown）以及参考高度比湿（Qair）。阶段1为GTMIP的各站点提供了两级半小时分辨率数据集，即美国阿拉斯加州费尔班克斯（波克尔弗拉特研究站）、芬兰凯沃（凯沃研究站）、俄罗斯联邦萨哈共和国季克西以及俄罗斯联邦萨哈共和国雅库茨克（斯帕斯卡亚帕德）的0级（L0）与1级（L1）数据。此类数据（L1）为经站点适配、可直接投入模型使用的气象数据集，基于L0数据与GRENE-TEA站点及周边的本地观测数据经针对性处理后得到。