Published October 9, 2023 | Version v1
Dataset Open

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

  • 1. University of Bergen

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:  

  1. 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
  2. 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
  3. one firn core simulation in the period 1990-2011 (~6 m)
    • snowiso_model_1990-2012_control.csv
    • snowiso_model_1990-2012_no_frac.csv
  4. 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

 

Files

snowiso_model_1990-2012_control.csv

Files (399.6 kB)

Name Size Download all
md5:a6d5d09d2fc8838fd0cd49e9a9672393
58.7 kB Preview Download
md5:88777621d31849de511cf2475c8cb631
58.4 kB Preview Download
md5:0364c53cc3a11416fa2e6dda126f270d
82.8 kB Preview Download
md5:3608e637453dc57a6563d0e16c38c3c0
82.3 kB Preview Download
md5:db6c5742f663091513e20e153347f608
16.0 kB Preview Download
md5:4986132e29653e20d0ed087dac0d365a
15.9 kB Preview Download
md5:2df6d6497d0d4c0627ea604d86d80fa8
15.9 kB Preview Download
md5:e37f9c42197371e5d53f53a96a85bc02
15.9 kB Preview Download
md5:d2523cedbd4bd2bf5109bc464e5c4e36
15.8 kB Preview Download
md5:64e03cb7ae3ce7bdce54a3068a55c2d0
15.7 kB Preview Download
md5:6b8ad8798b27b003bea4fe7fb9d5822b
11.3 kB Preview Download
md5:afef522a0da6758118f18c5a860d0b6a
11.1 kB Preview Download

Additional details

Related works

Is referenced by
Software: https://zenodo.org/record/7358293 (URL)
Is supplemented by
Dataset: https://zenodo.org/record/8335402 (URL)
Dataset: https://zenodo.org/record/8341390 (URL)

Funding

SNOWISO – Signals from the Surface Snow: Post-Depositional Processes Controlling the Ice Core Isotopic Fingerprint 759526
European Commission