2018: Improving oceanographic models of bottom temperature within the Mid-Atlantic Bight through novel data assimilation and stakeholder input

Project Title: 2018: Improving oceanographic models of bottom temperature within the Mid-Atlantic Bight through novel data assimilation and stakeholder input

Year: 2018

Principle Investigators: Samir Patel and Jason Clermont

Client: NOAA/NMFS Saltonstall-Kennedy Program

The proposed project will improve oceanographic models used to forecast temperature within Mid-Atlantic waters and produce continuously updated temperature products for fishermen and managers. We will utilize a collaborative industry-science-management Working Group approach previously developed for the US Atlantic mackerel stock assessment. Specifically, CFF will incorporate several years of temperature data accrued from animal-borne sensors, autonomous ocean gliders, commercial fishing gear, and trawl surveys to improve numerical modeling of theĀ 10oC Cold Pool. Then, we will assimilate the calibrated data into existing Mid-Atlantic Bight (MAB) coastal ocean models used in the historic hindcast, contemporary nowcast and future forecast modes.