served from 197.254.113.170

NASA GPCP V2p3 CDR precip: NOAA Climate Data Record (CDR) of GPCP Satellite-Gauge Combined Precipitation data

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

Independent Variables (Grids)

Time (time)
grid: /T (months since 1960-01-01) ordered (Jan 1979) to (Mar 2019) by 1.0 N= 483 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 (88.75S) to (88.75N) by 2.5 N= 72 pts :grid

Other Info

cell_methods
precip: mean
coordinates
longitude latitude time
datatype
realarraytype
iridl:hasSemantics
iridl:PrecipitationRate
missing_value
-9999.0
pointwidth
1.0
standard_name
lwe_precipitation_rate
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. 2 009, 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 Nov 2017 17:32:22 GMT
Expires: Fri, 05 Jul 2019 00:00:00 GMT

Data Views

TXY
[ X Y | T]MMM


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. Average over X Y T | X Y X T Y T | X Y T |
RMS (root mean square with mean *not* removed) over X Y T | X Y X T Y T | X Y T |
RMSA (root mean square with mean removed) over X Y T | X Y X T Y T | X Y T |
Maximum over X Y T | X Y X T Y T | X Y T |
Minimum over X Y T | X Y X T Y T | X Y T |
Detrend (best-fit-line) over X Y T | X Y X T Y T | X Y T |
Convert units from mm/day to

Note on units