served from 181.199.253.14
min ∫dX ∂Sh [ Hydromet Seasonal_Forecast Precipitation History CrossValHind ] : ∂Sh cross-validated hindcasts data
CrossValHind partial_Sh int_dX ∂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
- Longitude (longitude)
- grid: /X (degree_east) ordered (61.55W) to (56.45W) by 0.05000006 N= 103 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (1.025N) to (8.525N) by 0.05 N= 151 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
- 0.00020943951023932 meter radian east year-1
- history
- min over Sh[Jan 1981, Nov 2010]
Last updated: Fri, 12 Jan 2024 14:16:35 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| L | X | Y | |
 min $integral dX$ $partialdiff sub Sh$ [ Hydromet Seasonal_Forecast Precipitation History CrossValHind ] 2.5 months[ | X Y 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 X Y
- Differentiate along X Y
- Take differences along X Y
RMS (root mean square with mean *not* removed) over X Y | X Y |
RMSA (root mean square with mean removed) over X Y | X Y |
Maximum over X Y | X Y |
Minimum over X Y | X Y |
Detrend (best-fit-line) over X Y | X Y |
Note on units