HIRHAM–NAOSIM simulations for the period 2019–2020 with nudging to ERA5 and ice–ocean initialization from ORAS5 (P2)

Dorn, Wolfgang

Dataset Group
Summary
This dataset group comprises output data of two HIRHAM–NAOSIM simulations denoted as pair P2 in the paper "On the importance to consider the cloud dependence in parameterizing the albedo of snow on sea ice" by Foth et al. (2024). The two simulations were carried out for the period 2019–2020 and solely differ in the snow albedo parameterization. One simulation used the original snow albedo parameterization by Køltzow (2007, https://doi.org/10.1029/2006JD007693), while the other used the cloud-cover-dependent snow albedo parameterization suggested by Jäkel et al. (2019, https://doi.org/10.5194/tc-13-1695-2019). The prognostic atmospheric fields of the two simulations were nudged to the corresponding ERA5 fields with a vertically uniform nudging time scale of 16.67 h. Sea ice and ocean were started from rest with temperature, salinity, ice thickness, and ice concentration fields from ORAS5. Further details on the simulations are given by Foth et al. (2024).
Project
DKRZ_lta (Long-term Archiving of Climate Model Data at WDC Climate and DKRZ (DOKU))
Spatial Coverage
Longitude 0 to 360 Latitude 46 to 90
Temporal Coverage
2019-01-01 to 2020-12-31 (proleptic_gregorian)
Use constraints
Creative Commons Attribution 4.0 International (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/)
Data Catalog
DOKU at DKRZ
Size
480.89 GiB (516349184737 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2034-03-07
Cite as
Dorn, Wolfgang (2024). HIRHAM–NAOSIM simulations for the period 2019–2020 with nudging to ERA5 and ice–ocean initialization from ORAS5 (P2). DOKU at DKRZ. https://hdl.handle.net/21.14106/8ee96a7c422039d7961362ca20ff6523fe10a409

BibTeX RIS
Contact typePersonORCIDOrganization

Parent

Modellierung der atmosphaerischen Zirkulation der Arktis
Details

Attached Datasets ( 2 )

Details for selected entry
[Entry acronym: DKRZ_LTA_049_dsg0003] [Entry id: 5275110]