served from IRI/LDEO Climate Data Library
Indices Tahiti slp c8110 standardized: standardized sea level pressure anomalies data
slp c8110 standardized 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 (Jan 1951) to (Apr 2024) by 1.0 N= 880 pts :grid
Other Info
- CE
- null
- CS
- null
- file_missing_value
- -999.90002
- missing_value
- NaN
- standard_name
- air_pressure_anomaly
- units
- unitless
- standard units*
- unitless
- history
- Indices Tahiti slp c8110 anomaly
Averaged over T2[1981, 2010] minimum 0.0% data present
- sqrt [ total ( { Indices Tahiti slp c8110 anomaly } squared ) / 360. ]
- total [ ( Indices Tahiti slp c8110 anomaly ) squared ] / 360.
- Averaged over T2[1981, 2010] minimum 0.0% data present
Averaged over T[Jan 1981, Dec 2010] minimum 0.0% data present
- Averaged over T2[1981, 2010] minimum 0.0% data present
- total [ ( Indices Tahiti slp c8110 anomaly ) squared ] / 360.
- Indices Tahiti slp c8110 anomaly
Last updated: Sat, 06 Apr 2024 06:48:08 GMT
Expires: Thu, 06 Jun 2024 00:00:00 GMT
Data Views
Views
line plots
color bars
scatter
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
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