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Mean daily Sea Surface Temperature (°C) derived from 0.5° resolution imagery within bounding box (lon_min = -81, lon_max = -79.75, lat_min = 25.25, lat_max = 25.75).

Usage

data_sst

Format

## `data_sst` A data frame with 2,922 rows and two columns:

date

Date - Date of the observation, in yyyy-mm-dd format

temperature_C

Numeric - Mean sea surface temperatrure, measured in °C

Source

Raw data come from NOAA AVHRR Optimum Interpolation v2.1 - SST https://coastwatch.pfeg.noaa.gov/erddap/griddap/ncdcOisst21Agg_LonPM180.html. The script to generate the data is https://github.com/jcvdav/EVR628tools/blob/main/data-raw/data_sst.R

Examples

library(ggplot2)
# Look at the first 10 rows
head(data_sst, 10)
#> # A tibble: 10 × 2
#>    date       temperature_C
#>    <date>             <dbl>
#>  1 2000-01-01          24.9
#>  2 2000-01-02          24.8
#>  3 2000-01-03          25.2
#>  4 2000-01-04          25.4
#>  5 2000-01-05          25.5
#>  6 2000-01-06          25.6
#>  7 2000-01-07          25.6
#>  8 2000-01-08          25.5
#>  9 2000-01-09          25.5
#> 10 2000-01-10          25.7
# Make a time series plot
ggplot(data = EVR628tools::data_sst,
       mapping = aes(x = date, y = temperature_C)) +
       geom_line()