served from IRI/LDEO Climate Data Library
∫dT [ ∂X ( NOAA NCEP CPC GLOBAL monthly olr ) anomalies anomalies ]: ∂X outgoing longwave radiation data
monthly olr partial_X partial_X partial_X ∂X 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 1960-01-01) ordered (0000 1 Jun 1974) to (0000 1 Apr 2024) by 1.0 N= 599 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (0) to (2.5W) by 2.5 N= 144 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (90N) to (90S) by 2.5 N= 73 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -9999.0
- missing_value
- NaN
- units
- 4.77464829275686 kilogram radian-1 east second-3 year
- history
- $partialdiff sub X$ [ NOAA NCEP CPC GLOBAL monthly olr ] anomalies
Averaged over T2[Jun 1974 - May 1975, Jun 2022 - May 2023] minimum 0.0% data present
- $partialdiff sub X$ [ NOAA NCEP CPC GLOBAL monthly olr ] anomalies climatology
- Averaged over T2[Jun 1974 - May 1975, Jun 2022 - May 2023] minimum 0.0% data present
Averaged over T2[Jun 1974 - May 1975, Jun 2022 - May 2023] minimum 0.0% data present
- Averaged over T2[Jun 1974 - May 1975, Jun 2022 - May 2023] minimum 0.0% data present
- $partialdiff sub X$ [ NOAA NCEP CPC GLOBAL monthly olr ] anomalies
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 | |
 $integral dT$ [ $partialdiff sub X$ ( NOAA NCEP CPC GLOBAL monthly olr ) anomalies anomalies ][ X Y | T] | M | M | M |
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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