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

served from IRI/LDEO Climate Data Library

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

prcp prcp int_dT 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: 8.33333333333333×10^-05 meter year
history: Averaged over T2[1697, 2012] minimum 0.0% data present

References

Vose, R. S., Richard L. Schmoyer, Peter M. Steurer, Thomas C. Peterson, Richard Heim, Thomas R. Karl, and J. Eischeid, 1992: The Global Historical Climatology Network: long-term monthly temperature, precipitation, sea level pressure, and station pressure data. ORNL/CDIAC-53, NDP-041. Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, Oak Ridge, Tennessee.

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

Data Views

	IWMO	T
$integral dT$ [ NOAA NCDC GHCN v2beta prcp 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