data: root mean sq anom [ detrended-bfl $integral dY$ ( OLE2 CAM5 MENSUALES pr ) anomalies ]

served from 129.236.110.25

root mean sq anom [ detrended-bfl ∫dY ( OLE2 CAM5 MENSUALES pr ) anomalies ]: Precipitation data

root mean sq anom [ detrended-bfl ∫dY ( OLE2 CAM5 MENSUALES pr ) anomalies ].

Independent Variables (Grids)

member: grid: /M (unitless) ordered (1.0) to (5.0) by 1.0 N= 5 pts :grid
Longitude (longitude): grid: /X (degree_east) periodic (0) to (0.3125W) by 0.3125 N= 1152 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

CE

null

CS

null

datatype

doublearraytype

pointwidth

1.0

units

2.02005700462307×10^-10 meter radian north second^-1

history

root mean sq anom [ detrended-bfl $integral dY$ ( OLE2 CAM5 MENSUALES pr ) anomalies ]

Averaged over T2[1995, 2005]
Averaged over T[0001 20 Jul 1995 - 0001 21 Jul 1995, 17 Aug 2006]

Last updated: Mon, 21 Oct 2019 20:00:54 GMT

Data Views

	M	X	Y	Z
OLE2 CAM5 MENSUALES[pr tas ]
root mean sq anom [ detrended-bfl $integral dY$ ( OLE2 CAM5 MENSUALES pr ) anomalies ] 0 m[ X Y Z \| 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 X Y M
Differentiate along X Y M
Take differences along X Y M