data: NASA GPCP V2p3 CDR precip

served from IRI/LDEO Climate Data Library

NASA GPCP V2p3 CDR precip_error: NOAA CDR of GPCP Satellite-Gauge Combined Precipitation Error data

NOAA CDR of GPCP Satellite-Gauge Combined Precipitation Error from NASA GPCP V2p3 CDR: Climate Data Record.

Independent Variables (Grids)

Time (time): grid: /T (months since 1960-01-01) ordered (Jan 1979) to (Dec 2022) by 1.0 N= 528 pts :grid
Longitude (longitude): grid: /X (degree_east) periodic (1.25E) to (1.25W) by 2.5 N= 144 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (88.75N) to (88.75S) by 2.5 N= 72 pts :grid

Other Info

coordinates: longitude latitude
datatype: realarraytype
missing_value: -9999.0
pointwidth: 1.0
units: mm /day
valid_range: 0.0
100.0
standard units*: 1.15740740740741×10^-08 meter second^-1

References

Huffman et al. 1997, http://dx.doi.org/10.1175/1520-0477(1997)078<0005:TGPCPG>2.0.CO;2; Adler et al. 2003, http://dx.doi.org/10.1175/1525-7541(2003)004<1147:TVGPCP>2.0.CO;2; Huffman et al. 2009, http://dx.doi.org/10.1029/2009GL040000; Adler et al. 2016, Global Precipitation Climatology Project (GPCP) Monthly Analysis: Climate Algorithm Theoretical Basis Document (C-ATBD)

Last updated: Tue, 07 Mar 2023 22:05:59 GMT
Expires: Wed, 05 Apr 2023 00:00:00 GMT

Data Views

	T	X	Y
NASA GPCP V2p3 CDR precip_error[ 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