Dataset information
Available languages
English
Keywords
SNOWISO model, snowpack, stable water isotopes, diffusion, fractionation, ice cores, firn, vapor exchange, sublimation
Dataset description
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 (Laura.Dietrich@uib.no) 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
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