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

Open data API in a single place

Provided by Zenodo

Get early access to SNOWISO model snow- and firn core simulations for the EastGRIP drilling site in Greenland API!

Let us know and we will figure it out for you.

Dataset information

Country of origin
Updated
2024.04.25 00:00
Created
2023.01.01
Available languages
English
Keywords
SNOWISO model, snowpack, stable water isotopes, diffusion, fractionation, ice cores, firn, vapor exchange, sublimation
Quality scoring

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  
European data infrastructure with broad catalog discovery, free evaluation access and production-grade API options.
190K+
indexed dataset pages
32
countries and EU institutions
2019
API-first since
Free API quota
for evaluation and prototypes
SLA
history and push on production APIs
FAQ

Questions before production use

Practical answers on evaluation, licensing, freshness, versioning and support.

api.store is built and operated by Apitalks s.r.o. Company details and a direct contact path are linked in the footer for vendor checks and procurement review.
Yes. Selected APIs include a free API quota, so your team can validate coverage, freshness, response shape and workflow fit before asking for a production plan.
Often yes, but usage rights depend on the source license and dataset. We surface source, license and update metadata where available, and can help review terms before a production integration.
Maintained APIs include update metadata where available. For production integrations, we can add history, monitoring and push updates so changes are easier to detect and act on.
Production APIs can add SLA, stable identifiers, versioning support, history, push updates and direct support around the data your product or AI workflow depends on.

Didn't find the API you need?

Let us know and we will figure it out for you.

European data discovery with free evaluation access and production-grade API options.

Copyright © 2026. Made by Apitalks