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IRI MD IFRC ESRL PSD reforecast2 ensemble_mean analyses tot6day apcpanom: Six-Day Total Precipitation Anomaly from 1985-2012 Mean data
PSD reforecast2 ensemble_mean analyses tot6day Six-Day Total Precipitation Anomaly from 1985-2012 Mean from IRI MD IFRC ESRL: ESRL Products for the Precipitation Forecast in Context Map Tool.Independent Variables (Grids)
- Forecast Start Time (forecast_reference_time)
- grid: /S (days since 1970-01-01 00:00:00) ordered (0000 1 Jan 2008) to (0000 24 Sep 2020) by 1.0 N= 4651 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (180W) to (179E) by 1.0 N= 360 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (65S) to (75N) by 1.0 N= 141 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- 120
- center
- US National Weather Service - NCEP
- CS
- -120
- datatype
- doublearraytype
- file_missing_value
- 9.99900026E20
- grib-name
- APCP
- gribcenter
- 7
- gribfield
- 1
- gribleveltype
- 1
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 0
- scale_max
- 120
- scale_min
- -120
- standard_name
- precipitation_amount
- units
- mm
- standard units*
- 0.001 meter
- history
- total [ NOAA ESRL PSD reforecast2 ensemble_mean apcp ]
Averaged over L[3.0 hours, 147.0 hours] minimum 0.0% data present
- IRI MD IFRC ESRL PSD reforecast2 ensemble_mean pentad climatology c8512 tot6daysfcst apcp
S regridded on IRI MD IFRC ESRL PSD reforecast2 ensemble_mean pentad climatology c8512 tot6daysfcst apcp
- total [ NOAA ESRL PSD reforecast2 ensemble_mean apcp ]
- colorscale
Last updated: Thu, 11 Mar 2021 15:32:11 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts
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 S
- Differentiate along X Y S
- Take differences along X Y S
RMS (root mean square with mean *not* removed) over X Y S | X Y X S Y S | X Y S |
RMSA (root mean square with mean removed) over X Y S | X Y X S Y S | X Y S |
Maximum over X Y S | X Y X S Y S | X Y S |
Minimum over X Y S | X Y X S Y S | X Y S |
Detrend (best-fit-line) over X Y S | X Y X S Y S | X Y S |
Note on units