data: detrended-bfl $partialdiff sub T$ [ NOAA NCDC GCPS MONTHLY STATION mean prcp anomalies ]

served from IRI/LDEO Climate Data Library

detrended-bfl ∂_T [ NOAA NCDC GCPS MONTHLY STATION mean prcp anomalies ] : ∂_T Precipitation data

mean prcp prcp partial_T ∂_T 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)

WMO Station ID: grid: /IWMO (ids) ordered [ (100100) (100500) (102500) ... (9885100)] N= 7475 pts :grid
Time: grid: /T (months since 1960-01-01) ordered (16 Jan 1697 - 15 Feb 1697) to (16 Nov 1995 - 15 Dec 1995) by 1.0 N= 3587 pts :grid

Other Info

bufferwordsize: 8
CE: null
CS: null
datatype: doublearraytype
missing_value: NaN
units: mm /month
standard units*: 0.012 meter year^-1
history: Averaged over T2[1697, 1995] minimum 0.0% data present

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
detrended-bfl $partialdiff sub T$ [ NOAA NCDC GCPS MONTHLY STATION mean prcp anomalies ] [ 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