oisst_7day: Optimal interpolation SST

In pbs-assess/PACea: An R package of Pacific ecosystem information to help facilitate an ecosystem approach to fisheries management

Optimal interpolation SST

Description

Simple features objects of NOAA's Optimal Interpolation SST

oisst_7day

7-day mean sea surface temperature (deg C)

oisst_month

Monthly mean sea surface temperature in (deg C)

Usage

oisst_7day

oisst_month

Format

year

Year

week

Calendar week

month

Calendar month

sst

Mean sea surface temperature, SST (deg C)

sst_sd

Standard deviation of SST

sst_n

Sample size of SST

start_date

Start date of mean SST estimate

end_date

End date of mean SST estimate

'oisst_7day' An object of class sf with 2051650 rows and 8 columns.

'oisst_month' An object of class sf with 464350 rows and 8 columns.

Details

From NOAA: "The NOAA 1/4° Daily Optimum Interpolation Sea Surface Temperature (OISST) is a long term Climate Data Record that incorporates observations from different platforms (satellites, ships, buoys and Argo floats) into a regular global grid. The dataset is interpolated to fill gaps on the grid and create a spatially complete map of sea surface temperature. Satellite and ship observations are referenced to buoys to compensate for platform differences and sensor biases."

The data starts from 1981-09-01 and ends in the previous month from the current month. These data will be updated monthly.

Source

https://www.ncei.noaa.gov/products/optimum-interpolation-sst

Generated from running 'data-raw/erddap/OISST.R'.

Examples

## Not run: 
head(oisst_7day)

## End(Not run)

pbs-assess/PACea documentation built on April 17, 2025, 11:36 p.m.