served from 129.236.110.25
∫dY ∂T root mean sq [ OLE2 CAM5 MENSUALES pr ] : ∂T Precipitation data
∫dY ∂T root mean sq [ OLE2 CAM5 MENSUALES pr ] .Independent Variables (Grids)
- member
- grid: /M (unitless) ordered (1.0) to (5.0) by 1.0 N= 5 pts :grid
- Time (time)
- grid: /T (days since 1960-01-01) ordered [ (0600 31 Jan 1995 - 1800 1 Mar 1995) (1800 1 Mar 1995 - 1800 31 Mar 1995) (1800 31 Mar 1995 - 0600 1 May 1995) ... (1800 31 Oct 2005 - 0600 1 Dec 2005)] N= 130 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (90.11734S) to (90.11734N) by 0.2346806 N= 769 pts :grid
- Depth
- grid: /Z (m) ordered [ (0)] :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- pointwidth
- 1.0
- units
- 2.33802894053596×10-15 meter radian north second-2
- history
- Averaged over X[0.15625W, 0.15625W]
Last updated: Mon, 21 Oct 2019 20:00:54 GMT
Data Views
Views
data as colors
data as contours| M | T | Y | Z | |
 $integral dY$ $partialdiff sub T$ root mean sq [ OLE2 CAM5 MENSUALES pr ] 0 m[ Y Z | T M] | 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 Y T M
- Differentiate along Y T M
- Take differences along Y T M
RMS (root mean square with mean *not* removed) over Y T M | Y T Y M T M | Y T M |
RMSA (root mean square with mean removed) over Y T M | Y T Y M T M | Y T M |
Maximum over Y T M | Y T Y M T M | Y T M |
Minimum over Y T M | Y T Y M T M | Y T M |
Detrend (best-fit-line) over Y T M | Y T Y M T M | Y T M |
Note on units