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

Bottom temperature - Seasonal Gridded {#bottom_temp_seasonal_gridded}

Description: Seasonal mean bottom temperatures on the Northeast Continental Shelf between 1959 and 2023 in a 1/12° grid.

Indicator family:

• [X] Oceanographic

Contributor(s): Joseph Caracappa, Hubert du Pontavice, Vincent Saba, Zhuomin Chen

Affiliations: NEFSC

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

Introduction to Indicator

The bottom temperature product is in a horizontal 1/12 degree grid between 1959 and 2022 and is made of daily bottom temperature estimates from:

Bias-corrected ROMS-NWA between 1959 and 1992 which was regridded in the same 1/12degree grid as GLORYS using bilinear interpolation; Years 1993 through summer 2023 are from CMEMS GLORYS12V1 global reanalysis bottom temperature, and fall 2023 is from CMEMS PSY forecasting product.

Key Results and Visualizations

Maps of seasonal mean bottom temperature across NE shelf.

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

Indicator statistics

Spatial scale: Whole shelf

Temporal scale: Winter (Jan-Mar), Spring (April-June), Summer (July-Sept), Fall (Oct - Dec) from 1959-2023

Synthesis Theme:

• [X] Multiple System Drivers

# Either from Contributor or ecodata

Implications

Bottom temperature is a key environmental parameter in defining the habitat and metabolic conditions of demersal and benthic species. Interannual and seasonal changes in bottom temperature can provide significant indicators of species productivity, spatial distributions, or mortality. Long-term trends in bottom temperature are indicators of regional implications of global climate change and may be used in evaluating climate risk for fisheries management.

Get the data

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

ecodata name: ecodata::bottom_temp_seasonal_gridded

Variable definitions

• Time: year
• Lat: latitude
• Lon: longitude
• Variable: season
• Value: bottom temperature (degrees Celcius)

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

DT::datatable(vars)

Indicator Category:

• [X] Published Methods
• [X] Syntheses of published information
• [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/bottom_temp_seasonal_gridded.html

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