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root mean sq anom ∂T max [ T , max ( ENACTS version0 monthly climatologies rfe ) ] : ∂T Time, Monthly Rainfall climatology 1981-2010 average data
root mean sq anom ∂T max [ T , max ( ENACTS version0 monthly climatologies rfe ) ] .Independent Variables (Grids)
- Time (time)
- grid: /T (months since 01-Jan) periodic (16 Dec - 15 Jan) to (16 Nov - 15 Dec) by 1.0 N= 12 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (11.775S) to (23.125N) by 0.05 N= 699 pts :grid
Other Info
- bufferwordsize
- 8
- calendar
- 360
- CE
- null
- CS
- null
- datatype
- doublearraytype
- fnname
- max
- gridid
- 183375592
- missing_value
- NaN
- pointwidth
- 1.0
- scale_max
- null
- scale_min
- null
- standard_name
- time
- units
- unitless
- history
- max [ ENACTS version0 monthly climatologies rfe ]
- Averaged over T2[1981, 2010] minimum 0.0% data present
max over T[Jan, Dec]
root mean sq anom $partialdiff sub T$ max [ T , max ( ENACTS version0 monthly climatologies rfe ) ]- Averaged over X[21.855E, 51.455E] minimum 0.0% data present
- Averaged over T2[1981, 2010] minimum 0.0% data present
Last updated: Thu, 20 Feb 2025 09:48:13 GMT
Expires: Mon, 10 Mar 2025 00:00:00 GMT
Data Views
Views
data as colors
data as contours
line plots
color bars| T | Y | |
 ENACTS version0 monthly climatologies[tmean
tmin
tmax
rfe
] | ||
| grid: /X (degree_east) ordered (21.855E) to (51.455E) by 0.05 N= 593 pts :grid | ||
| grid: /Y (degree_north) ordered (11.775S) to (23.125N) by 0.05 N= 699 pts :grid | M | |
 root mean sq anom $partialdiff sub T$ max [ T , max ( ENACTS version0 monthly climatologies rfe ) ] [ T | Y] | 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 T Y
- Differentiate along T Y
- Take differences along T Y
RMS (root mean square with mean *not* removed) over T Y | T Y |
RMSA (root mean square with mean removed) over T Y | T Y |
Maximum over T Y | T Y |
Minimum over T Y | T Y |
Detrend (best-fit-line) over T Y | T Y |
Note on units