served from IRI/LDEO Climate Data Library
∫dX [ IRI Analyses ICPAC Models Montreal CanCM4i HINDCAST sc8110 prec ]: Total Precipitation data
prec Total Precipitation from IRI Analyses ICPAC Models Montreal CanCM4i HINDCAST sc8110: 1981-2010 Seasonal Climatology.Independent Variables (Grids)
- L
- grid: /L (months) ordered (1.5 months) to (10.5 months) by 1.0 N= 10 pts :grid
- Forecast Start Time (forecast_reference_time)
- grid: /S (months since 01-Jan) periodic (0000 1 Jan) to (0000 1 Dec) by 1.0 N= 12 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (0.5W) to (0.5W) by 1.0 N= 361 pts :grid
- latitude (latitude)
- grid: /Y (degree_north) ordered (90S) to (90N) by 1.0 N= 181 pts :grid
Other Info
- bufferwordsize
- 8
- datatype
- doublearraytype
- file_missing_value
- 9.99900026E20
- grib_name
- PRATE
- gribPDSpattern
- 04XXXX
- missing_value
- NaN
- pointwidth
- 0
- standard_name
- lwe_pecipitation_rate
- units
- 2.02005700462307×10-10 meter radian east second-1
- history
- [(mean [ Models NMME CanCM4i HINDCAST MONTHLY prec ]) [(Averaged over M[0.5, 10.5] minimum 0.0% data present) (Averaged in L with overlapping interval 3) (Boxes with less than 0.0% dropped)] (Averaged over S2[16 Dec 1980 - 15 Dec 1981, 16 Dec 2009 - 15 Dec 2010] minimum 0.0% data present)]
Last updated: Wed, 15 Apr 2020 19:03:55 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| L | S | X | Y | |
 $integral dX$ [ IRI Analyses ICPAC Models Montreal CanCM4i HINDCAST sc8110 prec ][ X Y L | S] | M | 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 L S
- Differentiate along X Y L S
- Take differences along X Y L S
RMS (root mean square with mean *not* removed) over X Y L S | X Y X L X S Y L Y S L S | X Y L X Y S X L S Y L S | X Y L S |
RMSA (root mean square with mean removed) over X Y L S | X Y X L X S Y L Y S L S | X Y L X Y S X L S Y L S | X Y L S |
Maximum over X Y L S | X Y X L X S Y L Y S L S | X Y L X Y S X L S Y L S | X Y L S |
Minimum over X Y L S | X Y X L X S Y L Y S L S | X Y L X Y S X L S Y L S | X Y L S |
Detrend (best-fit-line) over X Y L S | X Y X L X S Y L Y S L S | X Y L X Y S X L S Y L S | X Y L S |
Note on units