served from IRI/LDEO Climate Data Library
NASA GPCP V2p3 CDR precip anomalies: NOAA Climate Data Record (CDR) of GPCP Satellite-Gauge Combined Precipitation data
precip 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 (Oct 2023) by 1.0 N= 538 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
- CE
- null
- cell_methods
- precip: mean
- coordinates
- longitude latitude time
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -9999.0
- iridl:hasSemantics
- iridl:PrecipitationRate
- missing_value
- NaN
- 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
- history
- Averaged over T2[1979, 2022] minimum 0.0% data present
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: Mon, 01 Apr 2024 16:16:21 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 NASA GPCP V2p3 CDR precip 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
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 |
Note on units