data: max [ Hydromet Seasonal_Forecast Precipitation Forecast PredErrorVars ]

max [ Hydromet Seasonal_Forecast Precipitation Forecast PredErrorVars ]: prediction error variance data

PredErrorVars prediction error variance from Hydromet Seasonal_Forecast Precipitation Forecast: Forecast, Error and Skill. is

Independent Variables (Grids)

Forecast Lead Time in Months: grid: /L (months) ordered [ (2.5)] :grid

Other Info

bufferwordsize: 4
CE: null
colorscalename: rainbowcolorscale
CS: 0
datatype: realarraytype
file_missing_value: -9999.0
maxncolor: 256
missing_value: NaN
pointwidth: 0
scale_min: 0.0
units: mm²
standard units*: 10^-06 meter²
history: max over X[61.525W, 56.475W] Y[1.025N, 8.525N] S[0000 1 Apr 2019, 0000 1 Aug 2021]

Last updated: Fri, 12 Jan 2024 14:16:35 GMT
Expires: Fri, 09 Feb 2024 00:00:00 GMT

Data Views

	L
max [ Hydromet Seasonal_Forecast Precipitation Forecast PredErrorVars ] 2.5 months[ \| L]	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
Differentiate along
Take differences along

Average over
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over

Note on units