served from IRI/LDEO Climate Data Library
root mean sq root mean sq [ NOAA NCEP CPC CAMS anomaly temp climatology ] : temperature anomaly data
anomaly temp temp temp temp temperature anomaly from NOAA NCEP CPC CAMS: Climate Anomaly Monitoring System monthly gridded and station precipitation and temperature data. isIndependent Variables (Grids)
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -9999.0
- missing_value
- NaN
- units
- degree_Celsius
- standard units*
- degree_Kelvin
- history
- root mean sq [ NOAA NCEP CPC CAMS anomaly temp climatology ]
- Averaged over T2[1950, 2023] minimum 0.0% data present
Averaged over Y[90S, 90N] minimum 0.0% data present
root mean sq root mean sq [ NOAA NCEP CPC CAMS anomaly temp climatology ]- Averaged over X[1E, 1E] T[Jan, Dec] minimum 0.0% data present
- Averaged over T2[1950, 2023] minimum 0.0% data present
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: Fri, 03 May 2024 19:25:08 GMT
Expires: Sat, 01 Jun 2024 07:00:00 GMT
Data Views
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
- Differentiate along
- Take differences along
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over
Note on units