data: mean $integral dlat$ $partialdiff sub lon$ [ NOAA NOAA_OI_SSTv2_HRD SST

mean ∫dlat ∂_lon [ NOAA NOAA_OI_SSTv2_HRD SST_Anomalies anom ] : ∂_lon SST anomalies data

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

Independent Variables (Grids)

lon (longitude): grid: /lon (degree_east) periodic (0) to (0.25W) by 0.25 N= 1440 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 lat[90S, 90N] T[Jan 1981, Dec 2024] minimum 0.0% data present

References

Huang_etal2017

Last updated: Fri, 21 Feb 2025 14:58:22 GMT
Expires: Sun, 02 Feb 2025 00:00:00 GMT

Data Views

	lon
mean $integral dlat$ $partialdiff sub lon$ [ NOAA NOAA_OI_SSTv2_HRD SST_Anomalies anom ] [ lon \|]	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 lon
Differentiate along lon
Take differences along lon