SMART Indicator Report: Seasonal OISST Anomaly Map
4 Indicator visualization
Despite record setting ocean temperatures in 2023, the Northeast US shelf had both warm and cool sea surface temperature anomalies in each season.
5 Indicator documentation
5.1 Are indicators available for others to use (data downloadable)?
## Yes
5.1.1 Where can indicators be found?
## Data: https://noaa-edab.github.io/ecodata/index.html
## Description: https://noaa-edab.github.io/catalog/seasonal_oisst_anom_gridded.html
## Technical documentation: https://noaa-edab.github.io/tech-doc/seasonal_oisst_anom_gridded.html
5.1.2 How often are they updated? Are future updates likely?
[need sequential look at datasets for update frequency. Future requires judgement]
5.2 Gather indicator statistics
5.2.2 Length of time series, start and end date, periodicity
General overview: Seasonal: Winter (January - March), Spring (April - June), Summer (July - September), Fall (October - December)
Indicator specifics:
Indicator | Varname |
---|---|
no Var field | no Time Variables |
5.2.3 Spatial location, scale and extent
General overview: EPUs on full shelf map
Indicator specifics:
Indicator | EPU |
---|---|
no Var field | no EPU field |
5.3 Are methods clearly documented to obtain source data and calculate indicators?
## Yes
5.3.1 Can the indicator be calculated from current documentation?
[Build link to Tech-doc, look for current and previous methods]
5.4 Are indicator underlying source data linked or easy to find?
[Build link to Tech-doc, look for source, may require judgements]
5.4.1 Where are source data stored?
[Build link to Tech-doc, look for source, may require judgement]
6 Indicator analysis/testing or history of use
6.1 What decision or advice processes are the indicators currently used in?
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.
6.2 What implications of the indicators are currently listed?
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.
6.3 Do target, limit, or threshold values already exist for the indicator?
[Fill by hand; if not in key results or implications, likely does not exist]
6.4 Have the indicators been tested to ensure they respond proportionally to a change in the underlying process?
[Fill by hand; if not in introduction, key results, or implications, likely not tested]
7 Comments
[Fill below by hand once above data complete]
7.1 Additional potential links to management in addition to uses listed above
7.2 What additional work would be needed for the Council to use the indicator?
7.3 What issues are caused if there is a gap or delay in data underlying the indicator