served from IRI/LDEO Climate Data Library
NOAA NCEP CPC CAMS anomaly temp: temperature anomaly data
anomaly temperature anomaly from NOAA NCEP CPC CAMS: Climate Anomaly Monitoring System monthly gridded and station precipitation and temperature data.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Jan 1950) to (May 2023) by 1.0 N= 881 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (1E) to (1W) by 2.0 N= 180 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (89S) to (89N) by 2.0 N= 90 pts :grid
Other Info
- missing_value
- -9999.0
- units
- degree_Celsius
- standard units*
- degree_Kelvin
References
Ropelewski, C.F., J.E. Janowiak, and M.S. Halpert, 1985: The analysis and display of real time surface climate data. Mon. Wea. Rev., 113, 1101-1106.
Last updated: Tue, 06 Jun 2023 19:25:11 GMT
Expires: Sat, 01 Jul 2023 07:00:00 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 CAMS anomaly temp[ 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