data: $integral dX$ $partialdiff sub T$ $integral dY$ [ $integral dT$ detrended-bfl detrended-bfl detrended-bfl ( $integral dT$ { NASA GPCP V2 multi-satellite prcp } anomalies ) anomalies ]

served from IRI/LDEO Climate Data Library

∫dX ∂_T ∫dY [ ∫dT detrended-bfl detrended-bfl detrended-bfl ( ∫dT { NASA GPCP V2 multi-satellite prcp } anomalies ) anomalies ] : ∂_T precipitation data

V2 multi-satellite prcp int_dT int_dT int_dT int_dT adif adif adif adif int_dT int_dT int_dY partial_T ∂_T precipitation from NASA GPCP: Combined satellite-gauge precipitation estimates and error estimates from the Global Precipitation Climatology Project.

Independent Variables (Grids)

Time (time): grid: /T (months since 1960-01-01) ordered (Jan 1979) to (Jun 2008) by 1.0 N= 354 pts :grid
Longitude (longitude): grid: /X (degree_east) ordered (2.5E) to (2.5E) by 2.5 N= 145 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (90N) to (90S) by 2.5 N= 73 pts :grid

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

file_missing_value

-99999.0

missing_value

NaN

pointwidth

technique

Multi-Satellite

units

2.93805381738722×10^-13 meter radian² east second^-1 year

history

$integral dT$ detrended-bfl detrended-bfl detrended-bfl [ $integral dT$ ( NASA GPCP V2 multi-satellite prcp ) anomalies ]
Averaged over T2[1979, 2007] minimum 0.0% data present

$integral dT$ detrended-bfl detrended-bfl detrended-bfl [ $integral dT$ ( NASA GPCP V2 multi-satellite prcp ) anomalies ] climatology

Averaged over T2[1979, 2007] minimum 0.0% data present
Averaged over T2[16 Dec 1978 - 15 Dec 1979, 16 Dec 2006 - 15 Dec 2007] minimum 0.0% data present

References

Huffman_etal1997

Last updated: Wed, 13 Feb 2019 20:27:28 GMT

Data Views

	T	X	Y
$integral dX$ $partialdiff sub T$ $integral dY$ [ $integral dT$ detrended-bfl detrended-bfl detrended-bfl ( $integral dT$ { NASA GPCP V2 multi-satellite prcp } anomalies ) anomalies ] [ X Y \| T]	M	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 X Y T
Differentiate along X Y T
Take differences along X Y T