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detrended-bfl ∫dX ∂Y [ NOAA NCDC ERSST version3b err anomalies ] : ∂Y Estimated error standard deviation of analyzed_ersst data
err err partial_Y int_dX ∂Y Estimated error standard deviation of analyzed_ersst from NOAA NCDC ERSST version3b: ERSST.v3b: Extended Reconstructed Sea Surface Temperature Dataset, Verson 3b.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Jan 1854) to (Nov 2025) by 1.0 N= 2063 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (1W) to (1W) by 2.0 N= 181 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (87S) to (87N) by 2.0 N= 88 pts :grid
- zlev
- grid: /zlev (meters) ordered [ (0.0)] :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- missing_value
- NaN
- pointwidth
- 1.0
- units
- degree_Celsius
- standard units*
- degree_Kelvin
- history
- NOAA NCDC ERSST version3b err
Version 3b
- NOAA NCDC ERSST version3b err climatology
- Version 3b
Averaged over T2[1854, 2024] minimum 0.0% data present
- Version 3b
- NOAA NCDC ERSST version3b err
References
page 0: illegal page type or format PANIC: Invalid argument PANIC: fatal region error detected; run recovery PANIC: fatal region error detected; run recovery PANIC: fatal region error detected; run recovery Smith_etal2008Xue_etal2003
Last updated: Tue, 13 Aug 2024 08:17:43 GMT
Expires: Mon, 02 Sep 2024 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | zlev | |
 detrended-bfl $integral dX$ $partialdiff sub Y$ [ NOAA NCDC ERSST version3b err anomalies ] 0.0 meters[ X Y zlev | T] | M | M | 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 X Y T
- Differentiate along X Y T
- Take differences along X Y T
RMS (root mean square with mean *not* removed) over X Y T | X Y X T Y T | X Y T |
RMSA (root mean square with mean removed) over X Y T | X Y X T Y T | X Y T |
Maximum over X Y T | X Y X T Y T | X Y T |
Minimum over X Y T | X Y X T Y T | X Y T |
Detrend (best-fit-line) over X Y T | X Y X T Y T | X Y T |
Note on units