Atmosphere to Surface Profiles of Water Vapor Isotopes and Meteorological Conditions over the Northeast Greenland Ice Sheet Data Product for 2022 Field Campaign

This data set corresponds to the data product of the paper, "Atmosphere to Surface Profiles of Water Vapor Isotopes and Meteorological Conditions over the Northeast Greenland Ice Sheet" in JGR: Atmospheres. The purpose of this study was to determine the isotopic composition of water-vapor above an interior ice sheet site in order to evaluate the ability of model physics to predict its composition. This dataset is comprised of water-vapor isotope and atmospheric state variable measurements (temperature and humidity) for 104 UAV flights over the Greenlandic Ice Sheet during the July of 2022. It also includes precipitation and snow isotopes at 12-hour intervals at 1 centimeter (cm) and 5 cm depths during the unmanned aerial vehicle (UAV) sampling period window. We additionally present modeled water-vapor isotope expectations for each water-vapor isotope measurement using a Lagrangian back trajectory model coupled to a water distillation model, Hybrid Single-Particle Lagrangian Integrated Trajectory - Simple Water Isotope Model (HySPLIT-SWIM). Methods and a detailed description of data products can be found in the aforementioned paper.

本数据集对应发表于《地球物理学研究杂志：大气》（JGR: Atmospheres）的论文《格陵兰冰原东北部上空水汽同位素及气象条件的大气-地面廓线》的配套数据产品。本研究旨在测定冰原内部站点上空的水汽同位素组成，以此评估模型物理过程对该组成的预测能力。本数据集包含2022年7月期间，于格陵兰冰原上空执行的104架次无人机（Unmanned Aerial Vehicle, UAV）飞行任务所获取的水汽同位素与大气状态变量（气温与湿度）观测数据。数据集同时涵盖无人机采样时段内，以12小时间隔采集的1厘米（cm）与5厘米深度处的降水及雪样同位素数据。此外，本数据集还提供了耦合了水汽蒸馏模型的拉格朗日后向轨迹模型——混合单粒子拉格朗日综合轨迹-简单水汽同位素模型（Hybrid Single-Particle Lagrangian Integrated Trajectory - Simple Water Isotope Model, HySPLIT-SWIM）对每一组水汽同位素观测值的模拟预估结果。数据产品的相关方法与详细说明可参见上述论文。