∫dT [ Indices Tahiti slp c8110 anomaly ] anomalies: sea level pressure anomalies data
slp c8110 anomaly int_dT sea level pressure anomalies from Indices Tahiti: Sea level pressure data from Tahiti.
Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (0000 1 Jan 1951) to (0000 1 Jun 2024) by 1.0 N= 882 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.90002
- missing_value
- NaN
- standard_name
- air_pressure_anomaly
- units
- 8.33333333333333 kilogram meter-1 second-2 year
- history
- $integral dT$ [ Indices Tahiti slp c8110 anomaly ]
Averaged over T2[1981, 2010] minimum 0.0% data present
- $integral dT$ [ Indices Tahiti slp c8110 anomaly ] climatology
- Averaged over T2[1981, 2010] minimum 0.0% data present
Averaged over T2[16 Dec 1950 - 15 Dec 1951, 16 Dec 2022 - 15 Dec 2023] minimum 0.0% data present
Last updated: Thu, 06 Jun 2024 06:48:08 GMT
Expires: Sat, 06 Jul 2024 00:00:00 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