Regional climate model simulations (CCLM 15km) of near-surface variables for the MOSAiC winter period

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...

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Bibliographic Details
Main Author: Heinemann, Günther
Format: Dataset
Language:English
Published: PANGAEA 2022
Subjects:
Arctic Ocean
Binary Object
Binary Object (File Size)
Cordinates of model grid point closest to Polarstern underway cruise track measurements
File content
model evaluation
MOSAiC
MOSAiC_ATMOS
MOSAiC20192020_Drift_Winter
Multidisciplinary drifting Observatory for the Study of Arctic Climate
Regional climate model simulations
Sea-ice / atmosphere Interactions
Sea ice
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.944502
https://doi.org/10.1594/PANGAEA.944502
Description
Summary: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.

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