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∂X ∫dX ∫dX [ JRA55 tmean ] : ∂X Mean Temperature data
∂X ∫dX ∫dX [ JRA55 tmean ] .Independent Variables (Grids)
- Time (time)
- grid: /T (days since 1961-01-01 12:00:00) ordered (1200 1 Jan 1961 - 1200 2 Jan 1961) to (1200 24 Jul 2025 - 1200 25 Jul 2025) by 1.0 N= 23581 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (21.09331W) to (53.16065E) by 0.56253 N= 133 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (35.66298S) to (37.90945N) by 0.5616216 N= 132 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -99.0
- missing_value
- NaN
- pointwidth
- 1.0
- units
- 0.0174532925199433 degree_Kelvin radian east
Last updated: Thu, 26 Oct 2023 14:58:08 GMT
Expires: Tue, 27 Jul 2021 05:05:04 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $partialdiff sub X$ $integral dX$ $integral dX$ [ JRA55 tmean ] [ X Y | T] | M | M | M |
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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