served from 181.199.253.14
root mean sq anom ∂Sh ∂Sh [ Hydromet Seasonal_Forecast Precipitation History CrossValHind ] : ∂Sh ∂Sh cross-validated hindcasts data
CrossValHind partial_Sh partial_Sh ∂Sh ∂Sh cross-validated hindcasts from Hydromet Seasonal_Forecast Precipitation History: Predictand and Hindcast.Independent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
- Sh
- grid: /Sh (months since 1960-01-01) ordered (16 Jan 1981 - 15 Feb 1981) to (16 Oct 2010 - 15 Nov 2010) by 1.0 N= 358 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (61.525W) to (56.475W) by 0.05000003 N= 102 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -9999.0
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 0
- units
- 0.144 meter year-2
- history
- Averaged over Y[1.025N, 8.525N] minimum 0.0% data present
Last updated: Fri, 12 Jan 2024 14:16:35 GMT
Data Views
Views
data as colors
data as contours| L | Sh | X | |
 root mean sq anom $partialdiff sub Sh$ $partialdiff sub Sh$ [ Hydromet Seasonal_Forecast Precipitation History CrossValHind ] 2.5 months[ Sh X | L] | M | 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 Sh X
- Differentiate along Sh X
- Take differences along Sh X
RMS (root mean square with mean *not* removed) over Sh X | Sh X |
RMSA (root mean square with mean removed) over Sh X | Sh X |
Maximum over Sh X | Sh X |
Minimum over Sh X | Sh X |
Detrend (best-fit-line) over Sh X | Sh X |
Note on units