served from 129.236.110.25
root mean sq anom ∂lon max [ ( UY prec ) , max ( UY prec ) ] : ∂lon Precipitacion, Precipitacion data
root mean sq anom ∂lon max [ ( UY prec ) , max ( UY prec ) ] .Independent Variables (Grids)
- lon
- grid: /lon (degree_east) ordered (58.85526W) to (53.64474W) by 0.2894737 N= 19 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.0
- fnname
- max
- missing_value
- NaN
- units
- 0.687549354156988 meter radian-1 east year-1
- history
- root mean sq anom $partialdiff sub lon$ max [ ( UY prec ) , max ( UY prec ) ]
- max over lon[59W, 53.5W] lat[29.5S, 36S]
Averaged over time[Jan 1925, Dec 2009] lat[29.5S, 36S] minimum 0.0% data present
- max over lon[59W, 53.5W] lat[29.5S, 36S]
Last updated: Sun, 02 Jun 2024 17:51:42 GMT
Data Views
Views
line plots
color bars
scatter| lon | |
 grid: /time (months since 1960-01-01) ordered (Jan 1925) to (Dec 2009) by 1.0 N= 1020 pts :grid | |
| grid: /lon (degree_east) ordered (59W) to (53.5W) by 0.2894737 N= 20 pts :grid | D |
| grid: /lat (degree_north) ordered (29.5S) to (36S) by 0.2826087 N= 24 pts :grid | |
 root mean sq anom $partialdiff sub lon$ max [ ( UY prec ) , max ( UY prec ) ] [ 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