data: root mean sq [ NOAA NOAA_OI_SSTv2_HRD SST

root mean sq [ NOAA NOAA_OI_SSTv2_HRD SST_Anomalies anom ]: SST anomalies data

anom SST anomalies from NOAA NOAA_OI_SSTv2_HRD SST_Anomalies: ERSST.v5: Extended Reconstructed Sea Surface Temperature Dataset, Version 5..

Independent Variables (Grids)

latitude (latitude): grid: /lat (degree_north) ordered (89.875S) to (89.875N) by 0.25 N= 720 pts :grid
Time (time): grid: /T (months since 1960-01-01) ordered (Jan 1981) to (Apr 2024) by 1.0 N= 520 pts :grid

Other Info

bufferwordsize: 8
CE: null
colorscalename: sst_color_anom
CS: null
datatype: doublearraytype
file_missing_value: -999.0
iridl:hasSemantics: iridl:SeaSurfaceTemperatureAnomaly
maxncolor: 254
missing_value: NaN
pointwidth: 1.0
standard_name: sea_surface_temperature
units: degree_Celsius
standard units*: degree_Kelvin
history: Averaged over lon[0, 0] minimum 0.0% data present

References

Huang_etal2017

Last updated: Wed, 22 May 2024 15:38:52 GMT
Expires: Sun, 02 Jun 2024 00:00:00 GMT

Data Views

	lat	T
root mean sq [ NOAA NOAA_OI_SSTv2_HRD SST_Anomalies anom ][ lat \| T]	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 lat T
Differentiate along lat T
Take differences along lat T