data: $partialdiff sub T$ $integral dT$ [ NOAA NCDC GHCN v2beta prcp anomalies ] anomalies

served from IRI/LDEO Climate Data Library

∂_T ∫dT [ NOAA NCDC GHCN v2beta prcp anomalies ] anomalies: ∂_T precipitation data

prcp prcp int_dT partial_T ∂_T precipitation from NOAA NCDC GHCN v2beta: Monthly weather station precipitation data from the Global Historical Climate Network.

Independent Variables (Grids)

station: grid: /IWMO (ids) ordered [ (84531000)] :grid
Time: grid: /T (months since 1960-01-01) ordered (Jan 1697) to (Nov 2013) by 1.0 N= 3803 pts :grid

Other Info

CE

null

CS

null

datatype

realarraytype

file_missing_value

[ -9999.0 -8888.0 ]

missing_value

NaN

units

standard units*

0.001 meter

history

$partialdiff sub T$ $integral dT$ [ NOAA NCDC GHCN v2beta prcp anomalies ]
Averaged over T2[1697, 2012] minimum 0.0% data present

$partialdiff sub T$ $integral dT$ [ NOAA NCDC GHCN v2beta prcp anomalies ] climatology

Averaged over T2[1697, 2012] minimum 0.0% data present
Averaged over T2[1697, 2012] minimum 0.0% data present

References

Vose_etal1992

Last updated: Wed, 06 Jan 2021 14:51:52 GMT

Data Views

	IWMO	T
$partialdiff sub T$ $integral dT$ [ NOAA NCDC GHCN v2beta prcp anomalies ] anomalies 84531000[ T \| IWMO]	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