served from 129.236.110.25
mean ∂lat max [ ( UY prec ) , max ( UY prec ) ] : ∂lat Precipitacion, Precipitacion data
mean ∂lat max [ ( UY prec ) , max ( UY prec ) ] .Independent Variables (Grids)
- lon
- grid: /lon (degree_east) ordered (59W) to (53.5W) by 0.2894737 N= 20 pts :grid
- time
- grid: /time (months since 1960-01-01) ordered (Jan 1925) to (Dec 2009) by 1.0 N= 1020 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 north year-1
- history
- mean $partialdiff sub lat$ max [ ( UY prec ) , max ( UY prec ) ]
- max over lon[59W, 53.5W] lat[29.5S, 36S]
Averaged over lat[36S, 29.5S] 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
data as colors
data as contours| lon | time | |
 mean $partialdiff sub lat$ max [ ( UY prec ) , max ( UY prec ) ] [ time lon |] | M | M |
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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 time lon
- Differentiate along time lon
- Take differences along time lon
RMS (root mean square with mean *not* removed) over time lon | time lon |
RMSA (root mean square with mean removed) over time lon | time lon |
Maximum over time lon | time lon |
Minimum over time lon | time lon |
Detrend (best-fit-line) over time lon | time lon |
Note on units