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 (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., (accepted). Snow-atmosphere humidity exchange at the...
Main Authors: | , , |
---|---|
Format: | Dataset |
Language: | unknown |
Published: |
Zenodo
2023
|
Subjects: | |
Online Access: | https://dx.doi.org/10.5281/zenodo.8430274 https://zenodo.org/record/8430274 |
id |
ftdatacite:10.5281/zenodo.8430274 |
---|---|
record_format |
openpolar |
spelling |
ftdatacite:10.5281/zenodo.8430274 2023-12-31T10:07:29+01:00 SNOWISO model snow- and firn core simulations for the EastGRIP drilling site in Greenland ... Dietrich, Laura J. Wahl, Sonja Steen-Larsen, Hans Christian 2023 https://dx.doi.org/10.5281/zenodo.8430274 https://zenodo.org/record/8430274 unknown Zenodo https://zenodo.org/record/8335402 https://zenodo.org/record/8341390 https://zenodo.org/record/7358293 https://zenodo.org/record/8335402 https://zenodo.org/record/8341390 https://zenodo.org/record/7358293 https://dx.doi.org/10.5281/zenodo.8430273 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess SNOWISO model, snowpack, stable water isotopes, diffusion, fractionation, ice cores, firn, vapor exchange, sublimation Dataset dataset 2023 ftdatacite https://doi.org/10.5281/zenodo.843027410.5281/zenodo.8430273 2023-12-01T10:54:59Z This dataset (.csv) includes four SNOWISO v2 snowpack simulations of the stable 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., (accepted). Snow-atmosphere humidity exchange at the ice sheet surface alters annual mean climate signals in ice core records. Geophysical Research Letters 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 ... Dataset Greenland ice core Ice Sheet DataCite Metadata Store (German National Library of Science and Technology) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
SNOWISO model, snowpack, stable water isotopes, diffusion, fractionation, ice cores, firn, vapor exchange, sublimation |
spellingShingle |
SNOWISO model, snowpack, stable water isotopes, diffusion, fractionation, ice cores, firn, vapor exchange, sublimation Dietrich, Laura J. Wahl, Sonja Steen-Larsen, Hans Christian SNOWISO model snow- and firn core simulations for the EastGRIP drilling site in Greenland ... |
topic_facet |
SNOWISO model, snowpack, stable water isotopes, diffusion, fractionation, ice cores, firn, vapor exchange, sublimation |
description |
This dataset (.csv) includes four SNOWISO v2 snowpack simulations of the stable 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., (accepted). Snow-atmosphere humidity exchange at the ice sheet surface alters annual mean climate signals in ice core records. Geophysical Research Letters 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 ... |
format |
Dataset |
author |
Dietrich, Laura J. Wahl, Sonja Steen-Larsen, Hans Christian |
author_facet |
Dietrich, Laura J. Wahl, Sonja Steen-Larsen, Hans Christian |
author_sort |
Dietrich, Laura J. |
title |
SNOWISO model snow- and firn core simulations for the EastGRIP drilling site in Greenland ... |
title_short |
SNOWISO model snow- and firn core simulations for the EastGRIP drilling site in Greenland ... |
title_full |
SNOWISO model snow- and firn core simulations for the EastGRIP drilling site in Greenland ... |
title_fullStr |
SNOWISO model snow- and firn core simulations for the EastGRIP drilling site in Greenland ... |
title_full_unstemmed |
SNOWISO model snow- and firn core simulations for the EastGRIP drilling site in Greenland ... |
title_sort |
snowiso model snow- and firn core simulations for the eastgrip drilling site in greenland ... |
publisher |
Zenodo |
publishDate |
2023 |
url |
https://dx.doi.org/10.5281/zenodo.8430274 https://zenodo.org/record/8430274 |
genre |
Greenland ice core Ice Sheet |
genre_facet |
Greenland ice core Ice Sheet |
op_relation |
https://zenodo.org/record/8335402 https://zenodo.org/record/8341390 https://zenodo.org/record/7358293 https://zenodo.org/record/8335402 https://zenodo.org/record/8341390 https://zenodo.org/record/7358293 https://dx.doi.org/10.5281/zenodo.8430273 |
op_rights |
Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5281/zenodo.843027410.5281/zenodo.8430273 |
_version_ |
1786839882877894656 |