served from 129.236.110.25
root mean sq anom min [ lon , min ∂time ( UY precipitacion ) ] : lon, ∂time Precipitacion data
root mean sq anom min [ lon , min ∂time ( UY precipitacion ) ] .Independent Variables (Grids)
- lon
- grid: /lon (degree_east) ordered (59W) to (53.5W) by 0.2894737 N= 20 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- fnname
- min
- gridid
- 166963368
- missing_value
- NaN
- pointwidth
- 0.2894737
- scale_max
- null
- scale_min
- null
- units
- degree_east
- standard units*
- 0.0174532925199433 radian east
- history
- root mean sq anom min [ lon , min $partialdiff sub time$ ( UY precipitacion ) ]
- min over lat[29.5S, 36S]
Averaged over time[16 Jan 1925 - 15 Feb 1925, 16 Nov 2009 - 15 Dec 2009] minimum 0.0% data present
- min over lat[29.5S, 36S]
Last updated: Sun, 02 Jun 2024 17:51:42 GMT
Data Views
Views
line plots
color bars
scatter| lon | |
 UY[precipitacion
prec
] | |
| grid: /time (months since 1960-01-01) ordered (16 Jan 1925 - 15 Feb 1925) to (16 Nov 2009 - 15 Dec 2009) by 1.0 N= 1019 pts :grid | |
 root mean sq anom min [ lon , min $partialdiff sub time$ ( UY precipitacion ) ] [ lon |] | 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 lon
- Differentiate along lon
- Take differences along lon
RMS (root mean square with mean *not* removed) over lon |
RMSA (root mean square with mean removed) over lon |
Maximum over lon |
Minimum over lon |
Detrend (best-fit-line) over lon |
Note on units