SNOWISO model snow- and firn core simulations for the EastGRIP drilling site in Greenland

This dataset (.csv) includes four SNOWISO v2 snowpack simulations of the stable water isotopes (δ18O, δD, d-excess) and is the result of snowpack simulations in:Dietrich, L.J., Steen-Larsen, H.C., Wahl, S., Jones, T.R., Town, M. and Werner, M., 2023. Snow-atmosphere humidity exchange at the ice sheet surface alters annual mean climate signals in ice core records. Geophysical Research Letters, https://doi.org/10.1029/2023GL104249 The SNOWISO model is a 1-D isotope-enabled snowpack and surface exchange model. The model accumulates snowfall (input) and applies water vapor exchange (input) at the snow surface with subsequent isotopic fractionation of the surface snow. In addition, diffusion of water isotopes in the accumulated snowpack is applied. This dataset is simulated in a 1 cm vertical layer resolution. The scientific theory of the SNOWISO model is described in:Wahl, S., Steen‐Larsen, H.C., Hughes, A.G., Dietrich, L.J., Zuhr, A., Behrens, M., Faber, A.K. and Hörhold, M., 2022. Atmosphere‐Snow Exchange Explains Surface Snow Isotope Variability. Geophysical Research Letters, 49(20), p.e2022GL099529. The documentation of the SNOWISO model v2 operational set-up is given in:Dietrich, L.J., Steen-Larsen, H.C., Wahl, S., Jones, T.R., Town, M. and Werner, M., 2023. Snow-atmosphere humidity exchange at the ice sheet surface alters annual mean climate signals in ice core records. Geophysical Research Letters, https://doi.org/10.1029/2023GL104249 This model dataset consists of simulations for two model configurations each, with (control) and without (no_frac) fractionation during vapor exchange: daily average isotopes in the surface snow (top 2 cm) for the periods 11/05/2018-5/8/2018 and 17/5/2019-31/7/2019 surface_snow_simulation_2018-2019_control.csv surface_snow_simulation_2018-2019_no_frac.csv three 1-m long snow cores ending in 2017, 2018, and 2019, respectively snowpack_core_simulation_2017_control.csv snowpack_core_simulation_2018_control.csv snowpack_core_simulation_2019_control.csv snowpack_core_simulation_2017_no_frac.csv snowpack_core_simulation_2018_no_frac.csv snowpack_core_simulation_2019_no_frac.csv one firn core simulation in the period 1990-2011 (~6 m) snowiso_model_1990-2012_control.csv snowiso_model_1990-2012_no_frac.csv one firn core simulation in the period 1990-2020 (~8.5 m) snowiso_model_1990-2020_control.csv snowiso_model_1990-2020_no_frac.csv Model input: 6-hourly precipitation rate, vapor, and precipitation water stable isotopes from ECHAM6-wiso simulation nudged to the ERA-5 reanalysis (https://zenodo.org/record/8341390) hourly latent heat flux, near-surface meteorological variables, and snowpack variables from MARv3.12 simulation driven by the ERA-5 reanalysis (https://zenodo.org/record/8335402) Please be encouraged to contact me ([e-mail]) if you have any questions or ideas regarding these SNOWISO model simulations.Data usage notice: When using the SNOWISO model, you should refer to:Wahl, S., Steen‐Larsen, H.C., Hughes, A.G., Dietrich, L.J., Zuhr, A., Behrens, M., Faber, A.K. and Hörhold, M., 2022. Atmosphere‐Snow Exchange Explains Surface Snow Isotope Variability. Geophysical Research Letters, 49(20), p.e2022GL099529. If you use any of these simulations, you should refer to:Dietrich, L.J., Steen-Larsen, H.C., Wahl, S., Jones, T.R., Town, M. and Werner, M., 2023. Snow-atmosphere humidity exchange at the ice sheet surface alters annual mean climate signals in ice core records. Geophysical Research Letters, https://doi.org/10.1029/2023GL104249本数据集（.csv格式）包含4组SNOWISO v2雪堆模型的稳定水同位素（δ¹⁸O、δD、d-excess）模拟结果，其模拟工作基于下述文献开展：Dietrich, L.J., Steen-Larsen, H.C., Wahl, S., Jones, T.R., Town, M. 及 Werner, M., 2023. 《冰盖地表的雪-大气湿度交换改变冰芯记录中的年平均气候信号》，《地球物理研究通讯（Geophysical Research Letters）》，https://doi.org/10.1029/2023GL104249 SNOWISO模型是一款搭载同位素模拟功能的一维雪堆与地表交换模型。该模型可累积降雪（输入项），并在雪面开展水汽交换（输入项），随后对表层积雪进行同位素分馏；此外还模拟了累积雪堆内水分子同位素的扩散过程。本数据集采用1 cm垂直层分辨率进行模拟。 SNOWISO模型的科学理论详见下述文献：Wahl, S., Steen‐Larsen, H.C., Hughes, A.G., Dietrich, L.J., Zuhr, A., Behrens, M., Faber, A.K. 及 Hörhold, M., 2022. 《大气-雪交换解释表层雪同位素变异性》，《地球物理研究通讯（Geophysical Research Letters）》，49(20), e2022GL099529. SNOWISO v2运行配置的文档说明详见下述文献：Dietrich, L.J., Steen-Larsen, H.C., Wahl, S., Jones, T.R., Town, M. 及 Werner, M., 2023. 《冰盖地表的雪-大气湿度交换改变冰芯记录中的年平均气候信号》，《地球物理研究通讯（Geophysical Research Letters）》，https://doi.org/10.1029/2023GL104249 本模型数据集包含两组模型配置的模拟结果，分别为对照组（control）与无分馏组（no_frac），即水汽交换过程中不进行同位素分馏： 1. 2018年5月11日-2018年8月5日、2019年5月17日-2019年7月31日两个时段的表层雪（顶部2 cm）日均同位素数据，对应文件如下： surface_snow_simulation_2018-2019_control.csv surface_snow_simulation_2018-2019_no_frac.csv 2. 三根总长1 m的雪芯模拟数据，分别对应2017、2018、2019年结束的序列，对应文件如下： snowpack_core_simulation_2017_control.csv snowpack_core_simulation_2018_control.csv snowpack_core_simulation_2019_control.csv snowpack_core_simulation_2017_no_frac.csv snowpack_core_simulation_2018_no_frac.csv snowpack_core_simulation_2019_no_frac.csv 3. 1990-2011年时段的粒雪芯模拟数据（深度约6 m），对应文件如下： snowiso_model_1990-2012_control.csv snowiso_model_1990-2012_no_frac.csv 4. 1990-2020年时段的粒雪芯模拟数据（深度约8.5 m），对应文件如下： snowiso_model_1990-2020_control.csv snowiso_model_1990-2020_no_frac.csv 模型输入数据如下： - 来自ERA-5再分析数据驱动的ECHAM6-wiso模拟结果，包含逐6小时降水率、水汽及降水中的稳定水同位素数据（https://zenodo.org/record/8341390） - 来自ERA-5再分析数据驱动的MARv3.12模拟结果，包含逐小时潜热通量、近地表气象变量及雪堆变量数据（https://zenodo.org/record/8335402） 若您对本SNOWISO模型模拟数据集有任何疑问或建议，欢迎联系作者（[e-mail]）。 数据使用须知： 1. 若使用SNOWISO模型，请引用下述文献：Wahl, S. 等, 2022, 《大气-雪交换解释表层雪同位素变异性》, 《地球物理研究通讯（Geophysical Research Letters）》, 49(20), e2022GL099529. 2. 若使用本数据集的任一模拟结果，请引用下述文献：Dietrich, L.J. 等, 2023, 《冰盖地表的雪-大气湿度交换改变冰芯记录中的年平均气候信号》, 《地球物理研究通讯（Geophysical Research Letters）》, https://doi.org/10.1029/2023GL104249