Investigating the effect of snow-ice formation on snow depth and density over Arctic sea ice

DOI

We investigated the effect of snow-ice formation on snow depth and density over Arctic sea ice. We coupled SnowModel-LG, a snow modeling system adapted for snow depth and density reconstruction over sea ice, with HIGHTSI, a 1-D sea ice thermodynamic model, to simulate snow-ice growth. Pan-Arctic model simulations were performed over the period 1 August 1980 through 31 July 2022. The model outputs were gridded to the 25x25 km Equal-Area Scalable Earth Grid (EASE-Grid), provided by the National Snow and Ice Data Center (NSIDC) (361 x 361 pixels). We compared snow depth and density from the coupled product (SnowModel-LG_HS) to outputs from the SnowModel-LG.

The data set includes daily, pan-Arctic information of snow depth, snow density, snow-ice thickness and thermodynamically grown sea ice thickness from 1.8.1980 until 31.7.2022, based on SnowModel-LG_HS. Specifically, it includes the following (4) netcdf files:

  1. snod_hs.nc: Pan-Arctic snow depth based on SnowModel-LG_HS
  2. sden_hs.nc: Pan-Arctic snow density based on SnowModel-LG_HS
  3. sice.nc: Pan-Arctic snow-ice thickness based on SnowModel-LG_HS
  4. tice.nc: Pan-Arctic thermodynamically grown sea ice thickness based on SnowModel-LG_HS
Identifier
DOI https://doi.org/10.23728/fmi-b2share.e4b0307d7dc74b449d03a41b6cae65d8
Source https://fmi.b2share.csc.fi/records/e4b0307d7dc74b449d03a41b6cae65d8
Metadata Access https://fmi.b2share.csc.fi/api/oai2d?verb=GetRecord&metadataPrefix=eudatcore&identifier=oai:fmi.b2share.csc.fi:b2rec/e4b0307d7dc74b449d03a41b6cae65d8
Provenance
Creator Merkouriadi, Ioanna; Liston, Glen; Jutila, Arttu
Publisher Finnish Meteorological Institute
Publication Year 2023
Funding Reference European Space Agency; Research Council of Finland; National Science Foundation
Rights CC-BY; info:eu-repo/semantics/openAccess
OpenAccess true
Contact ioanna.merkouriadi(at)fmi.fi
Representation
Language English
Resource Type Dataset
Format nc
Size 24.0 GB; 3 files
Discipline Environmental science
Spatial Coverage (-180.000W, 48.400S, 180.000E, 90.000N); Arctic
Temporal Coverage 1980-07-31T22:00:00.000Z 2022-07-30T21:00:00.000Z