SIC, SIT, SST and SSS from HYCOM-CICE with LAON assimilation of SIC

This data is generated using the Norwegian High-resolution (3-5km) pan-Arctic ocean and sea ice Prediction System (NorHAPS), which is based on a coupled HYCOM-CICE model with the Local Analytical Optimal Nudging (LAON) for assimilation. The twin experiment simulations cover the pan-Arctic domain fro...

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Bibliographic Details
Main Authors: Wang, Keguang, Ali, Alfatih, Wang, Caixin
Format: Other/Unknown Material
Language:unknown
Published: Zenodo 2023
Subjects:
sea ice concentration
sea ice thickness
sea surface temperature
sea surface salinity
Arctic Ocean
Sea ice
Online Access:https://doi.org/10.5281/zenodo.10025338
Description
Summary:This data is generated using the Norwegian High-resolution (3-5km) pan-Arctic ocean and sea ice Prediction System (NorHAPS), which is based on a coupled HYCOM-CICE model with the Local Analytical Optimal Nudging (LAON) for assimilation. The twin experiment simulations cover the pan-Arctic domain from 1 January 2021 to 30 April 2022, with and without assimilation of sea ice concentration. The data includes sea ice concentration and thickness, sea surface temperature and salinity. The updated version includes OSTIA skin SST data for the same period, which was obtained from CMEMS.

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