GTMIP meteorological driving dataset for the GRENE-TEA observation sites (20-year detrended)

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, namely the 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 20-year detrended meteorological dataset provides driving data for spin up, especially for biogeochemical models to set up initial soil carbon conditions, without being affected by warming trend and/or ENSO (El Nino Southern Oscillation). This dataset is based on L1 data for the period of 1980-1999.GRENE北极气候变化研究项目（GRENE Arctic Climate Change Research Project）的陆地生态系统研究项目（GRENE-TEA）中的建模组（modeling group, GTM），其核心目标分为两项：其一，为耦合全球气候模型（coupled global climate model, CGCM）研究项目提供输入，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）的物理与生态过程；其二，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发起了面向开放参与模型的模型比对项目（model intercomparison project, GTMIP）。该项目的设计宗旨有三：一是加强建模研究者与野外科学家之间“思想与实操”的交流与认知；二是评估现有模型的实现方式与设计方案带来的不确定性与差异，以及北极各站点间因气候与历史条件产生的变异性；三是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），第二阶段则使用环极区域的CGCM输出数据来驱动并验证模型。用于模型强迫的气象变量包括：总降水量（total precipitation, Pr）、参考高度气温（air temperature at reference height, Tair）、地面气压（surface pressure, Psurf）、参考高度风速（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 longwave radiation, LWdown），以及参考高度比湿（specific humidity at reference height, Qair）。阶段1为GTMIP的各站点提供两个层级的半小时级数据集，覆盖以下站点：美国阿拉斯加州费尔班克斯（波克弗拉特研究站，Fairbanks (Poker Flat Research Range)）、芬兰凯沃（凯沃研究站，Kevo (Kevo Research Station)）、俄罗斯联邦萨哈共和国提克西（Tiksi, Sakha Republic, Russian Federation）、俄罗斯联邦萨哈共和国雅库茨克（斯帕斯卡亚帕德，Yakutsk (Spasskaya Pad), Sakha Republic, Russian Federation）的0级（L0）与1级（L1）数据。本数据集为20年去趋势气象数据集，可为模型自旋启动提供驱动数据，尤其适用于生物地球化学模型建立初始土壤碳条件，且不受变暖趋势与/或ENSO（厄尔尼诺南方涛动，El Nino Southern Oscillation）的影响。该数据集基于1980—1999年的L1数据构建。