Heinemann, Günther (2022): Regional climate model simulations (CCLM 15km) of near-surface variables for the MOSAiC winter period [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.944502
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Abstract:
The ship-based experiment MOSAiC 2019/2020 was carried out during a full year in the Arctic. The data set includes simulation data of near-surface variables for the MOSAiC winter period (Nov. 2019-April 2020). The regional climate model CCLM was used in a forecast mode (nested in ERA5) for the whole Arctic with 15 km resolution and is run with different configurations of sea ice data. These include the standard sea ice concentration taken from passive microwave data (AMSR) with around 6 km resolution, sea ice concentration from Moderate Resolution Imaging Spectroradiometer (MODIS) thermal infrared data and MODIS sea ice lead data with 1 km resolution for the winter period. Model output is available every 1h. In the vertical, the model extends up to 22 km with 60 vertical levels. In addition to near-surface variables, integrated moisture and temperature for the lowest 2km were calculated. Values are grid-box averages at the ship position.
Keyword(s):
Related to:
Heinemann, Günther; Schefczyk, Lukas; Willmes, Sascha; Shupe, Matthew D (2022): Evaluation of simulations of near-surface variables using the regional climate model CCLM for the MOSAiC winter period. Elementa - Science of the Anthropocene, 10(1), 00033, https://doi.org/10.1525/elementa.2022.00033
Project(s):
Funding:
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven (AWI), grant/award no. AFMOSAiC-1_00: Multidisciplinary drifting Observatory for the Study of Arctic Climate
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven (AWI), grant/award no. AWI_PS122_00: Multidisciplinary drifting Observatory for the Study of Arctic Climate / MOSAiC
Federal Ministry of Education and Research (BMBF), grant/award no. 03F0887A: Modelling the impact of sea-ice leads on the atmospheric boundary layer during MOSAiC (MISLAM)
Coverage:
Median Latitude: 86.256000 * Median Longitude: 67.592500 * South-bound Latitude: 83.913000 * West-bound Longitude: 12.112000 * North-bound Latitude: 88.599000 * East-bound Longitude: 123.073000
Date/Time Start: 2019-11-01T00:00:00 * Date/Time End: 2020-04-30T23:00:00
Event(s):
MOSAiC20192020_Drift_Winter * Latitude Start: 83.913000 * Longitude Start: 12.112000 * Latitude End: 88.599000 * Longitude End: 123.073000 * Date/Time Start: 2019-11-01T00:00:00 * Date/Time End: 2020-04-30T23:00:00 * Location: Arctic Ocean * Method/Device: Cordinates of model grid point closest to Polarstern underway cruise track measurements * Comment: Campaign: PS122 (MOSAiC20192020); Basis: Polarstern; Comment: Arctic Ocean, part of MOSAiC Legs 1-3
Comment:
Coordinates of the nearest CCLM grid point (1h data)
File name: C15_Lat_Lon_winter.txt
File description:
DATE month day hour
JUL Julian day starting on 1 October 2019
JULyear Julian day starting on 1 January
LAT Latitude north degress
LON Longitude east degrees
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CCLM near-surface data (1h)
File names: C15_near-surface_winter.txt (sea ice from AMSR data) and C15MOD0_near-surface_winter.txt (sea ice from MODIS data)
File description
DATE month day hour
JUL Julian day starting on 1 October 2019
JULyear Julian day starting on 1 January
MSLP Pressure in hPa
T Temperature in °C at 2m, 5m, 30m
T0 surface temperature in °C
RH2m relative humidity at 2m in %
FF wind speed at 5m, 10m, 30m in m/s
DD wind direction at 10m and 30m in deg
Kd/Ku shortwave downward/upward radiation in W/m²
Ld/Lu longwave downward/upward radiation in W/m²
Q0 net radiation in W/m²
SIC sea ice concentration
Hice grid-scale ice thickness in m
TIT thin ice thickness in m (subgrid-scale)
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CCLM Integrated humidity and temperature data (1h data)
File name: C15MOD0_near-surface_winter.txt (sea ice from MODIS data)
File description
JUL Julian day starting on 1 October 2019
JULyear Julian day starting on 1 January
IWV2000 Integrated water vapour 0-2km in kg/m²
Tm2000 mean temperature 0-2km in °C
Qm2000 mean specific humidity 0-2km in g/kg
QCIT total integrated (0-22km) cloud water and cloud ice content in kg/m²
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | File content | Content | Heinemann, Günther | |||
| 2 | Binary Object | Binary | Heinemann, Günther | |||
| 3 | Binary Object (File Size) | Binary (Size) | Bytes | Heinemann, Günther |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Basic curation (CurationLevelB) * Processing Level: PANGAEA data processing level 4 (ProcLevel4)
Size:
8 data points