served from 181.199.253.14
max ∂Y [ Hydromet Seasonal_Forecast Precipitation History CrossValHind ] : ∂Y cross-validated hindcasts data
CrossValHind CrossValHind partial_Y ∂Y 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
- Longitude (longitude)
- grid: /X (degree_east) ordered (61.525W) to (56.475W) by 0.05000003 N= 102 pts :grid
Other Info
- bufferwordsize
- 4
- CE
- 1700
- CS
- 0
- datatype
- realarraytype
- file_missing_value
- -9999.0
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 0
- units
- 0.0572957795130823 meter radian-1 north
- history
- max over Sh[0000 1 Jan 1981, 0000 1 Dec 2010] Y[1.075N, 8.475N]
- colorscale
Last updated: Fri, 12 Jan 2024 14:16:35 GMT
Data Views
Views
line plots
color bars
scatter| L | X | |
 max $partialdiff sub Y$ [ Hydromet Seasonal_Forecast Precipitation History CrossValHind ] 2.5 months[ | X L] | 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 X
- Differentiate along X
- Take differences along X
RMS (root mean square with mean *not* removed) over X |
RMSA (root mean square with mean removed) over X |
Maximum over X |
Minimum over X |
Detrend (best-fit-line) over X |
Note on units