37 Seasonal OISST Anomaly Map

Description: Mapped seasonal sea surface temperature anomaly

Indicator family:

Contributor(s): Brandon Beltz, Abigail Tyrell

Affiliations: NEFSC

37.1 Introduction to Indicator

Sea surface temperature can be used as a proxy for overall thermal conditions in the system. Data for sea surface anomalies were derived from the National Oceanographic and Atmospheric Administration optimum interpolation sea surface temperature high resolution data set (NOAA OISST V2). Mean seasonal-annual SST was calculated for each EPU. To These data extend from 1981 to present. Anomalies are calculate by subtracting the long-term mean temperature is calculated from 1982-2010 for each season, from the seasonal-annual mean SST. Gridded anomalies are presented on a map for each year.

37.2 Key Results and Visualizations

Despite record setting ocean temperatures in 2023, the Northeast US shelf had both warm and cool sea surface temperature anomalies in each season.

37.3 Indicator statistics

Spatial scale: EPUs on full shelf map

Temporal scale: Seasonal: Winter (January - March), Spring (April - June), Summer (July - September), Fall (October - December)

Synthesis Theme:

37.4 Implications

Sea surface temperature is an indicator of thermal habitat for pelagic species. Long-term warming trends suggest wide-spread environmental change in the system. Warming trends can have potential impacts on species spatial distributions, the seasonal timing of species life history events, and the overall productivity of the system. Maps show how temperature change has been distributed in each EPU each year.

37.5 Get the data

Point of contact:

ecodata name: ecodata::seasonal_sst_anomaly_gridded

Variable definitions

Ex: 1) Name: piscivore_biomass; Definition: Biomass of piscivores; Units: kg tow^-1. 2) Name: forage_biomass; Definition: Biomass of forage fish; Units: kg tow^-1.

Indicator Category:

37.6 Public Availability

Source data are publicly available.

37.7 Accessibility and Constraints

No response

tech-doc link https://noaa-edab.github.io/tech-doc/seasonal_sst_anomaly_gridded.html