data: $partialdiff sub IWMO$ $partialdiff sub IWMO$ [ NOAA NCDC GCPS MONTHLY STATION country

served from IRI/LDEO Climate Data Library

∂_IWMO ∂_IWMO [ NOAA NCDC GCPS MONTHLY STATION country_code ] : ∂_IWMO ∂_IWMO Country code data

country_code partial_IWMO ∂_IWMO ∂_IWMO Country code 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 [ (100475) (100775) (101275) ... (9908256)] N= 10091 pts :grid

Other Info

datatype: realarraytype
units: unitless /ids /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: Wed, 13 Feb 2019 20:27:28 GMT

Data Views

	IWMO
$partialdiff sub IWMO$ $partialdiff sub IWMO$ [ NOAA NCDC GCPS MONTHLY STATION country_code ] [ IWMO \|]	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 IWMO
Differentiate along IWMO
Take differences along IWMO