served from IRI/LDEO Climate Data Library
∫dY [ NOAA NCDC GCPS MONTHLY GRIDDED precipitation anomalies ] anomalies
precipitation anomalies int_dY int_dY from NOAA NCDC GCPS MONTHLY GRIDDED: Baseline climatological dataset of gridded temperature and precipitation anomalies derived from the Global Historical Climate Network.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Jan 1851) to (Dec 1993) by 1.0 N= 1716 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (0) to (5W) by 5.0 N= 72 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (92.5S) to (92.5N) by 5.0 N= 38 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -9999.9902
- missing_value
- NaN
- units
- 1.74532925199433×10-05 meter radian north
- history
- $integral dY$ [ NOAA NCDC GCPS MONTHLY GRIDDED precipitation anomalies ]
NOAA Baseline Climatological Dataset
- $integral dY$ [ NOAA NCDC GCPS MONTHLY GRIDDED precipitation anomalies ] climatology
- NOAA Baseline Climatological Dataset
Averaged over T2[1851, 1993] minimum 0.0% data present
- NOAA Baseline Climatological Dataset
- $integral dY$ [ NOAA NCDC GCPS MONTHLY GRIDDED precipitation anomalies ]
References
Baker, C.B., J.K. Eischeid, T.R. Karl, and H.F. Diaz, 1994: The quality control of long-term climatological data using objective data analysis. Preprints of AMS Ninth Conference on Applied Climatology, Dallas, TX., January 15-20, 1995.
Last updated: Mon, 16 Feb 2015 21:51:22 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts
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