data: $partialdiff sub IWMO$ $integral dT$ [ NOAA NCDC GCPS MONTHLY STATION mean prcp ]

served from IRI/LDEO Climate Data Library

∂_IWMO ∫dT [ NOAA NCDC GCPS MONTHLY STATION mean prcp ] : ∂_IWMO Precipitation data

mean prcp int_dT ∂_IWMO Precipitation from NOAA NCDC GCPS MONTHLY STATION: Baseline climatological dataset of weather station temperature and precipitation data derived from the Glocal Historical Climate Network.

Independent Variables (Grids)

IWMO: grid: /IWMO (ids) ordered [ (100300) (101500) (102650) ... (9884350)] N= 7474 pts :grid
Time: grid: /T (months since 1960-01-01) ordered (0000 1 Jan 1697) to (0000 1 Jan 1996) by 1.0 N= 3589 pts :grid

Other Info

datatype: realarraytype
missing_value: NaN
units: 8.33333333333333×10^-05 meter year /ids

References

Baker, C.B., J.K. Eischeid, T.R. Karl, and H.F. Diaz, 1994: The quality control of long-term climatological data using objective data analysis. Preprints of AMS Ninth Conference on Applied Climatology, Dallas, TX., January 15-20, 1995.

Last updated: Mon, 12 Sep 2016 21:13:52 GMT

Data Views

	IWMO	T
$partialdiff sub IWMO$ $integral dT$ [ NOAA NCDC GCPS MONTHLY STATION mean prcp ] [ 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 IWMO
Differentiate along T IWMO
Take differences along T IWMO