Great Lakes Observing & Forecasting Systems
Modeling sea ice-ocean-ecosystem changes, and Great Lakes ice modeling, measurements, and climate changes
Overview and Objectives
The objective of this study is to improve our understanding of ocean and sea ice circulation in the Bering-Chukchi-Beaufort seas and the Laurentian Great Lakes, using the combination of a high-resolution Coupled Ice-Ocean Model (CIOM) and Princeton Regional Ocean Forecast (and Hindcast) System’s data-assimilation methodologies. A 3-D, 9-compartment, Physical-Ecosystem Model, coupled to CIOM, is used to study the ice-ocean-ecosystem dynamics in the same region. This study will have a broad impact on 1) understanding the ice-ocean-ecosystem dynamics that explain the high primary productivity region in the Arctic Ocean, seasonal phytoplankton blooms, and interannual variability, and 2) ice edge variability due to climate changes and the subsequent impacts on primary and secondary productivity. The models developed through this project can be applied to the Great Lakes Earth System Model (GLESM). Using the experience via the development of the Bering Sea ice-ocean-ecosystem models, we are developing our GLESM. In particular, the ice-ocean models and ecosystem models bear the similar features of subpolar ice-covered waters.
Publications
Presentations
Resources
PrincipaI Investigator(s):
Hongyan Zhang (CILER)
NOAA Technical Lead(s):
Jia Wang (NOAA-GLERL)