OISST - long term gridded climate data record
1/4° longitude x latitude
Interpolated to fill gaps
Canada's Pacific EEZ
r colorize("925 gridded cells", "red")
r colorize("September, 1981 to (relatively) present", "red")
\ 2 data products: weekly and monthly mean SST
oisst_7day
and oisst_month
\
\footnotesize
R erddap
- https://www.ncei.noaa.gov/products/optimum-interpolation-sst
Huang, B., C. Liu, V. Banzon, E. Freeman, G. Graham, B. Hankins, T. Smith, and H. Zhang, 2021: Improvements of the Daily Optimum Interpolation Sea Surface Temperature (DOISST) Version 2.1. J. Climate, 34, 2923–2939, https://doi.org/10.1175/JCLI-D-20-0166.1. \normalsize
The data are saved as a sf
(simple feature) tibble
object in pacea
:
oisst_month
Simple feature collection with 467125 features and 7 fields Geometry type: POINT Dimension: XY Bounding box: xmin: -138.625 ymin: 46.625 xmax: -123.125 ymax: 54.625 Geodetic CRS: WGS 84 # A tibble: 467,125 x 8 year month sst sst_sd sst_n start_date end_date * <dbl> <dbl> <dbl> <dbl> <int> <date> <date> 1 1981 9 16.4 0.830 30 1981-09-01 1981-09-30 2 1981 10 14.3 0.838 31 1981-10-01 1981-10-31 3 1981 11 12.7 1.38 30 1981-11-01 1981-11-30 4 1981 12 10.2 0.549 31 1981-12-01 1981-12-31 5 1981 9 16.4 1.05 30 1981-09-01 1981-09-30 6 1981 10 14.2 0.697 31 1981-10-01 1981-10-31 # i 467,119 more rows # i 1 more variable: geometry <POINT [B0]> # i Use `print(n = ...)` to see more rows
```{asis, echo = more_details}
```r ?oisst_month
Description Simple features objects of NOAAs 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) ...
plot(oisst_month)
plot(oisst_month, months.plot = c("April", "June"), years.plot = c(2021:2022))
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