root mean sq detrended-bfl ∂lat ∫dT root mean sq [ NOAA NCDC OISST version2 AVHRR sst ] : ∂lat Daily sea surface temperature data
OISST version2 AVHRR sst sst int_dT partial_lat adif
∂lat Daily sea surface temperature from NOAA NCDC: National Climatic Data Center.
Independent Variables (Grids)
- Time (time)
- grid: /T (days since 1978-01-01 12:00:00) ordered (0000 20 Sep 1981) to (0000 14 Apr 2020) by 1.0 N= 14087 pts :grid
- zlev
- grid: /zlev (meters) ordered [ (0.0)] :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- iridl:hasSemantics
- iridl:SeaSurfaceTemperature
- missing_value
- NaN
- pointwidth
- 1.0
- units
- 4950355.34993031 degree_Kelvin radian-1 north second
- history
- root mean sq detrended-bfl $partialdiff sub lat$ $integral dT$ root mean sq [ NOAA NCDC OISST version2 AVHRR sst ]
- Averaged over lon[0, 0] minimum 0.0% data present
Averaged over lat[89.875S, 89.875N] minimum 0.0% data present
References
Cavalieri_etal1997
Grumbine_etal1996
May_etal1998
Reynolds_etal2007
Last updated: Tue, 08 Dec 2020 21:55:17 GMT
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 T
- Differentiate along T
- Take differences along T
Average over
T
|
RMS (root mean square with mean *not* removed) over
T
|
RMSA (root mean square with mean removed) over
T
|
Maximum over
T
|
Minimum over
T
|
Detrend (best-fit-line) over
T
|
Note on units