In kimberly-bastille/sin-cat: Synthetic Indicator Catalogue

Sea-surface temperature anomaly {#seasonal_oisst_anom}

Description: Seasonal sea surface temperature anomaly

Indicator family:

• [X] Oceanographic
• [X] Habitat

Contributor(s): Brandon Beltz, Abigail Tyrell

Affiliations: NEFSC

knitr::opts_chunk$set(echo = F)
library(ecodata)

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.

Key Results and Visualizations

Since 1982, SST has been increasing in all seasons in all three EPUs. 2023 was the warmest winter SST in the GOM and MAB on record. All record warmest seasonal SST years have occurred on or after 2012. 2023 also saw relatively cooler summer temperatures in GB and the GOM and fall temperatures in all regions.

MAB

# Plot indicator
ggplotObject <- ecodata::plot_seasonal_oisst_anom(report='MidAtlantic')
ggplotObject

GB

# Plot indicator
ggplotObject <- ecodata::plot_seasonal_oisst_anom(report='NewEngland',EPU='GB')
ggplotObject

GOM

# Plot indicator
ggplotObject <- ecodata::plot_seasonal_oisst_anom(report='NewEngland',EPU='GOM')
ggplotObject

Indicator statistics

Spatial scale: EPU

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

Synthesis Theme:

• [X] Multiple System Drivers

# Either from Contributor or ecodata

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.

Get the data

Point of contact: [e-mail]{.email}

ecodata name: ecodata::seasonal_oisst_anom

Variable definitions

Time: year, Var: season, Value: temperature anomaly (degrees Celcius), EPU

# Pull all var names
vars <- ecodata::seasonal_oisst_anom |>
   dplyr::select(Var) |>
   dplyr::distinct()

DT::datatable(vars)

Indicator Category:

• [X] Database pull with analysis

Public Availability

Source data are publicly available.

Accessibility and Constraints

No response

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

kimberly-bastille/sin-cat documentation built on Oct. 29, 2024, 3:08 a.m.