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...

Full description

Bibliographic Details
Main Authors: Wang, Keguang, Ali, Alfatih, Wang, Caixin
Format: Dataset
Language:unknown
Published: 2023
Subjects:
sea ice concentration
sea ice thickness
sea surface temperature
sea surface salinity
Arctic
Arctic Ocean
Sea ice
Online Access:https://zenodo.org/record/7533372
https://doi.org/10.5281/zenodo.7533372
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.

Similar Items