data: mean $integral dT$ [ NOAA NCDC ERSST version5 sst anomalies ]

mean ∫dT [ NOAA NCDC ERSST version5 sst anomalies ] : Extended reconstructed sea surface temperature data

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

Independent Variables (Grids)

longitude (longitude): grid: /X (degree_east) periodic (0) to (2W) by 2.0 N= 180 pts :grid
latitude (latitude): grid: /Y (degree_north) ordered (88S) to (88N) by 2.0 N= 89 pts :grid
zlev: grid: /zlev (meters) ordered [ (0.0)] :grid

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

file_missing_value

-999.0

iridl:hasSemantics

iridl:SeaSurfaceTemperature

missing_value

NaN

pointwidth

1.0

standard_name

sea_surface_temperature

units

86400 degree_Kelvin second

history

mean $integral dT$ [ NOAA NCDC ERSST version5 sst anomalies ]

Averaged over T2[1854, 2022] minimum 0.0% data present
Averaged over T[1154 30 Jun 1852 - 1154 1 Jul 1852, 0002 18 Dec 2023] minimum 0.0% data present

References

Huang_etal2017

Last updated: Mon, 27 Mar 2023 13:29:42 GMT

Data Views

	X	Y	zlev
mean $integral dT$ [ NOAA NCDC ERSST version5 sst anomalies ] 0.0 meters[ X Y zlev \|]	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 X Y
Differentiate along X Y
Take differences along X Y

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

Note on units