data: root mean sq detrended-bfl $integral dY$ mean [ Princeton prcp ]

served from 129.236.110.25

root mean sq detrended-bfl ∫dY mean [ Princeton prcp ] : Total precipitation data

root mean sq detrended-bfl ∫dY mean [ Princeton prcp ] .

Independent Variables (Grids)

Time (time): grid: /T (days since 1960-01-01 00:00:00) ordered (1 Jan 1948) to (30 Dec 2008) by 1.0 N= 22280 pts :grid
Depth: grid: /Z (m) ordered [ (0)] :grid

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

file_missing_value

2.00000004E20

missing_value

NaN

pointwidth

units

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

history

root mean sq detrended-bfl $integral dY$ mean [ Princeton prcp ]

Averaged over X[0, 0] minimum 0.0% data present
Averaged over Y[90S, 90N] minimum 0.0% data present

Last updated: Fri, 27 Nov 2020 04:20:45 GMT

Data Views

	T	Z
Princeton[prcp tmin tmax wspd ]
grid: /Y (degree_north) ordered (90S) to (90N) by 0.5 N= 361 pts :grid
grid: /T (days since 1960-01-01 00:00:00) ordered (1 Jan 1948) to (30 Dec 2008) by 1.0 N= 22280 pts :grid	M
root mean sq detrended-bfl $integral dY$ mean [ Princeton prcp ] 0 m[ Z \| T]	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 T
Differentiate along T
Take differences along T