served from IRI/LDEO Climate Data Library
∂X ∫dY [ ∂T ( NOAA NCEP CPC GLOBAL monthly olr ) climatology ] : ∂X ∂T outgoing longwave radiation data
monthly olr olr partial_T partial_T int_dY ∂X ∂T outgoing longwave radiation from NOAA NCEP CPC GLOBAL: Global outgoing longwave radiation data from the Climate Prediction Center.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 01-Jan) periodic (16 Jun - 15 Jul) to (16 May - 15 Jun) by 1.0 N= 12 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (1.25E) to (1.25W) by 2.5 N= 144 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (91.25N) to (91.25S) by 2.5 N= 74 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -9999.0
- missing_value
- NaN
- units
- 12 kilogram second-3 year-1
- history
- Averaged over T2[16 Jun 1974 - 15 Jun 1975, 16 Jun 2022 - 15 Jun 2023] minimum 0.0% data present
Last updated: Mon, 01 Apr 2024 16:55:36 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $partialdiff sub X$ $integral dY$ [ $partialdiff sub T$ ( NOAA NCEP CPC GLOBAL monthly olr ) climatology ] [ 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