| Summary: | This dataset (.csv) includes four SNOWISO v2 snowpack simulations of thestable water isotopes(δ 18 O, 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 , http s://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 applieswater 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 datasetis simulated in a 1 cm vertical layerresolution. The scientific theory of the SNOWISO modelis 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 endingin 2017, 2018, and 2019, respectively snowpack_core_simulation_2017_control.csv snowpack_core_simulation_2018_control.csv snowpack_core_simulation_2019_control.csv ...
|
|---|