data: $integral dY$ max [ NOAA NCDC ERSST version5 sst ]

∫dY max [ NOAA NCDC ERSST version5 sst ] : Extended reconstructed sea surface temperature data

sst max Extended reconstructed sea surface temperature from NOAA NCDC ERSST version5: ERSST.v5: Extended Reconstructed Sea Surface Temperature Dataset, Version 5..

Independent Variables (Grids)

Time (time): grid: /T (months since 1960-01-01) ordered (Jan 1854) to (Feb 2019) by 1.0 N= 1982 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (89S) to (89N) by 2.0 N= 90 pts :grid
zlev: grid: /zlev (meters) ordered [ (0.0)] :grid

Other Info

bufferwordsize: 8
datatype: doublearraytype
file_missing_value: -999.0
iridl:hasSemantics: iridl:SeaSurfaceTemperature
missing_value: NaN
pointwidth: 1.0
standard_name: sea_surface_temperature
units: 0.0174532925199433 ( degree_Kelvin above 273.15 ) radian north
history: max over X[0, 2W]

References

Huang_etal2017

Last updated: Wed, 05 Feb 2020 11:55:24 GMT
Expires: Tue, 02 Apr 2019 00:00:00 GMT

Data Views

	T	Y	zlev
grid: /Y (degree_north) ordered (89S) to (89N) by 2.0 N= 90 pts :grid		M
grid: /T (months since 1960-01-01) ordered (Jan 1854) to (Feb 2019) by 1.0 N= 1982 pts :grid	M
$integral dY$ max [ NOAA NCDC ERSST version5 sst ] 0.0 meters[ Y zlev \| T]	M	M	M

Filters

Here are some filters that are useful for manipulating data. There are actually many more available, but they have to be entered manually. See Ingrid Function Documentation for more information.

Monthly Climatology calculates a monthly climatology by averaging over all years.
anomalies calculates the difference between the (above) monthly climatology and the original data.
Integrate along Y T
Differentiate along Y T
Take differences along Y T

Average over Y T | Y T |
RMS (root mean square with mean *not* removed) over Y T | Y T |
RMSA (root mean square with mean removed) over Y T | Y T |
Maximum over Y T | Y T |
Minimum over Y T | Y T |
Detrend (best-fit-line) over Y T | Y T |

Note on units