served from IRI/LDEO Climate Data Library
NASA GES-DAAC TRMM_L3 TRMM_3B42RT v7 daily precipitation: Accumulated Precipitation data
Accumulated Precipitation from NASA GES-DAAC TRMM_L3 TRMM_3B42RT v7 daily: TRMM Version 7 Daily Real Time Precipitation Estimates.Independent Variables (Grids)
- Time (time)
- grid: /T (days since 1998-01-01 00:00:00) ordered (1 Mar 2000) to (31 Oct 2016) by 1.0 N= 6089 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (0.125E) to (0.125W) by 0.25 N= 1440 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (59.875S) to (59.875N) by 0.25 N= 480 pts :grid
Other Info
- CE
- 300.0
- colorscalename
- prcp_dailyrate_smooth
- CS
- 0.0
- datatype
- realarraytype
- iridl:hasSemantics
- iridl:precipitation
- maxncolor
- 254
- missing_value
- -99999.0
- pointwidth
- 1.0
- scale_max
- 300.0
- scale_min
- 0.0
- standard_name
- lwe_precipitation_rate
- units
- mm /day
- standard units*
- 1.15740740740741×10-08 meter second-1
- colorscale
References
Huffman, G. J., R. F. Adler, D. T. Bolvin, G. Gu, E. J. Nelkin, K. P. Bowman, Y. Hong, E. F. Stocker, D. B. Wolff, 2007: The TRMM multi-satellite precipitation analysis: Quasi-global, multi-year, combined-sensor precipitation estimates at fine scale. J. Hydrometeor., 8(1), 38-55.Huffman, G. J., R. F. Adler, D. T. Bolvin, E. J. Nelkin, 2010: The TRMM Multi-satellite Precipitation Analysis (TMPA). Chapter 1 in Satellite Rainfall Applications for Surface Hydrology, F. Hossain and M. Gebremichael, Eds. Springer Verlag, ISBN: 978-90-481-2914-0, 3-22.
Last updated: Tue, 08 Dec 2020 21:55:17 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 NASA GES-DAAC TRMM_L3 TRMM_3B42RT v7 daily precipitation[ 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