The SST satellite data were downloaded from the NOAA ERDDAP server using Roy Mendelssohn's
rerddapXtracto R package which uses the ropenscirerddap R package available on CRAN. The R code used
to download the data is in the extdata/get_satelite_data folder. See examples for how to find
the file. Units are degree Celsius.
sst
A data frame with:
The year
The month
Average monthly SST averaged over boxes 1 to 13. Units are degree Celcius.
Average monthly SST averaged over boxes 1 to 13. Units are degree Celcius.
There are two SST data sets: AVHRR and ICOADS.
AVHRR The SST differential upwelling indices were computed from the SST Daily Optimum Interpolation (OI), AVHRR Only, Version 2.1, Final 0.25 degree grid, Global data downloaded from the NOAA ERDDAP server. These are daily data. They daily data were averaged over all days in each month to produce monthly averages. The SST estimates use the Advanced Very-High Resolution Radiometer (AVHRR) instruments. AVHRR is accurate for close to the coast and thus could be used for our SST differential upwelling index.
The SST data were downloaded from the NOAA ERDDAP server. See https://coastwatch.pfeg.noaa.gov/erddap/info/ncdcOisst21Agg/index.html.
ICOADS The SST was extracted from the International Comprehensive Ocean-Atmosphere Data Set (ICOADS) collection of surface marine data Data from 1960 onward were used, which are on a 1°x1° grid.
The ICOADS SST data were downloaded from the NOAA ERDDAP server.
https://coastwatch.pfeg.noaa.gov/erddap/info/esrlIcoads1ge/index.html
More information on the ICOADS data are available at
https://coastwatch.pfeg.noaa.gov/erddap/info/esrlIcoads1ge/index.html
The R code used
to download the data is in the extdata/get_satelite_data folder. See examples
for how to find and view the files. The SST values were averaged across thirteen
1 degree by 1 degree boxes which roughly parallel the bathymetry.
The AVHRR data were provided by GHRSST and the US National Oceanographic Data Center. This project was supported in part by a grant from the NOAA Climate Data Record (CDR) Program for satellites. The data were downloaded from NOAA CoastWatch-West Coast Regional Node and Southwest Fisheries Science Center's Environmental Research Division. To cite these data in a paper, please follow the instructions in the license and at this link: https://coastwatch.pfeg.noaa.gov/erddap/information.html#citeDataset
The ICOADS data were provided by the NOAA/OAR/ESRL PSD, Boulder, Colorado, USA, from their Web site at http://www.esrl.noaa.gov/psd/ (and downloaded via NOAA's CoastWatch data server.)
Casey KS, Brandon TB, Cornillon P, Evans R (2010). “The past, present, and future of the AVHRR Pathfinder SST program.” In Oceanography from space, 273--287. Springer.
Walton CC, Pichel WG, Sapper JF, May DA (1998). “The development and operational application of nonlinear algorithms for the measurement of sea surface temperatures with the NOAA polar-orbiting environmental satellites.” Journal of Geophysical Research: Oceans, 103(C12), 27999--28012.
Chamberlain S (2019). rerddap: General Purpose Client for 'ERDDAP' Servers. R package version 0.6.5, https://CRAN.R-project.org/package=rerddap.
Mendelssohn R (2020). rerddapXtracto: Extracts Environmental Data from 'ERDDAP' Web Services. R package version 0.4.7, https://CRAN.R-project.org/package=rerddapXtracto.
if (FALSE) { # Show the R code that downloaded the data file.show(system.file("extdata/get_satellite_data", "get_sat_data.R", package="SardineForecast")) # Show the background files on each data set at the time the data were downloaded browseURL(system.file("extdata/get_satellite_data/ERDDAP_background", "erdAGsstamday.html", package="SardineForecast")) browseURL(system.file("extdata/get_satellite_data/ERDDAP_background", "erdPH2sstamday.html", package="SardineForecast")) # Show the boxes browseURL(system.file("docs", "kerala_study_area_with_inset.jpg", package="SardineForecast")) }