served from IRI/LDEO Climate Data Library
NOAA NCEP CPC CBO_V1 r0p25 MON NRT olr: OLR total data
OLR total from NOAA NCEP CPC CBO_V1 r0p25 MON NRT: Near-Real Time Monthly Data in 0.25deg-grid.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (May 2023) to (Jun 2024) by 1.0 N= 14 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 (89.875S) to (89.875N) by 0.25 N= 720 pts :grid
Other Info
- CE
- 300
- CS
- 120
- datatype
- realarraytype
- maxncolor
- 254
- missing_value
- -999.0
- pointwidth
- 1.0
- scale_max
- 300.0
- scale_min
- 120.0
- units
- W /m2
- standard units*
- kilogram second-3
- colorscale
Last updated: Mon, 01 Jul 2024 21:30:08 GMT
Expires: Thu, 01 Aug 2024 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 NOAA NCEP CPC CBO_V1 r0p25 MON NRT olr[ 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