served from 213.154.77.59
∫dT ∫dX ∫dY ∫dT ∂X [ JRA55 tmean ] : ∂X Mean Temperature data
∫dT ∫dX ∫dY ∫dT ∂X [ JRA55 tmean ] .Independent Variables (Grids)
- Time (time)
- grid: /T (days since 1961-01-01 12:00:00) ordered (1200 31 Dec 1960) to (1200 12 Dec 2025) by 1.0 N= 23723 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (20.53078W) to (52.59812E) by 0.56253 N= 131 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (35.94379S) to (38.19027N) by 0.5616217 N= 133 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -99.0
- missing_value
- NaN
- pointwidth
- 1.0
- units
- 130288130.529676 degree_Kelvin radian east second2
Last updated: Thu, 26 Oct 2023 14:58:08 GMT
Expires: Mon, 27 Dec 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 | |
 $integral dT$ $integral dX$ $integral dY$ $integral dT$ $partialdiff sub X$ [ JRA55 tmean ] [ X Y | T] | 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