root mean sq anom [ NASA GPCP V2 multi-satellite prcp ]: precipitation data

V2 multi-satellite prcp prcp prcp prcp prcp precipitation from NASA GPCP: Combined satellite-gauge precipitation estimates and error estimates from the Global Precipitation Climatology Project.

Independent Variables (Grids)

Longitude (longitude)
grid: /X (degree_east) ordered (88.75W) to (31.25W) by 2.5 N= 24 pts :grid

Other Info

bufferwordsize
8
CE
null
CS
null
datatype
doublearraytype
file_missing_value
-99999.0
missing_value
NaN
pointwidth
0
technique
Multi-Satellite
units
mm /day
standard units*
1.15740740740741×10-08 meter second-1
history
Averaged over Y[57.5S, 7.5N] T[Jan 1979, Dec 2003] minimum 0.0% data present

References

Huffman, G. J., R.F. Adler, P.A. Arkin, A. Chang, R. Ferraro, A. Gruber, J. Janowiak, R.J. Joyce, A. McNab, B. Rudolf, U. Schneider, and P. Xie, 1997: The Global Precipitation Climatology Project (GPCP) Combined Precipitation Data Set. Bull. Amer. Meteor. Soc., 78, 5-20.

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

Data Views

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

Note on units