A high-resolution ocean bottom temperature product for the northeast U.S. continental shelf marine ecosystem. (January 2023)

• Record Type: Journal Article
• Authors: du Pontavice, Hubert; Chen, Zhuomin; Saba, Vincent S.
• Is Part Of: Progress in oceanography. Volume 210(2023)
• Publication Date: 2023-01
• Subjects: Oceanography -- Periodicals; 551.4605
• DOI: 10.1016/j.pocean.2022.102948
• Languages: English
• ISSNs: 0079-6611

Abstract

Highlights: A bottom temperature product for the northeast U.S. continental shelf. Long-term high-resolution bottom temperature between 1959 and 2021. Three ocean products were combined. Warming of the northeast U.S. shelf is estimated at + 0.36 °C decade -1 . Large warming variations among seasons and regions. Potential use for a wide range of applications from fisheries to marine ecology. Abstract: The northeast U.S. continental shelf is a highly productive and socio-economically important marine ecosystem in which annual and seasonal variations of bottom temperature play a major role in the distribution, phenology, and productivity of its predominately demersal marine taxa. However, bottom temperature measurements are limited spatially and temporally and thus do not provide the required resolution to assess sub-seasonal variability and trends. Here we combined three ocean products, a regional ocean model (ROMS) and two global ocean data assimilated models (GLORYS12v1 and PSY4V3R1) to build a high-resolution, long-term bottom temperature product for the northeast U.S. continental shelf between 1959 and 2021. We bias-corrected ROMS using monthly decadal climatologies from ocean observations and analyzed long-term changes in the combined time series. Model skill was assessed using a large number of in situ observations. The combined bottom temperature product showed a long-term warming of the northeast U.S. continental shelf of + 0.36 °C decade -1 over the past 63 years, with notable variations among seasons and regions. The strongest long-term warming occurred during the summer months and in the Gulf of Maine. Although biases were observed, the bottom temperature product exhibited good performance reproducing seasonal and annual variability in observed temperature. This high-resolution product could be used in a wide range of applications from local to regional spatial scales, from long-term to near-term time scales, and from fisheries to marine ecology.