data: root mean sq anom $integral dS$ $integral dS$ [ Hydromet Seasonal_Forecast Precipitation target

root mean sq anom ∫dS ∫dS [ Hydromet Seasonal_Forecast Precipitation target_length ] : Length of forecast time data

Precipitation target_length int_dS int_dS Length of forecast time from Hydromet Seasonal_Forecast: Seasonal Forecast. is

Independent Variables (Grids)

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

Other Info

bufferwordsize

calendar

360

CE

null

CS

null

datatype

doublearraytype

missing_value

NaN

pointwidth

1.0

units

600 second year²

history

root mean sq anom $integral dS$ $integral dS$ [ Hydromet Seasonal_Forecast Precipitation target_length ]

Averaged in T with overlapping interval 3
Averaged over S[0000 1 Mar 2019, 0000 1 Sep 2021] minimum 0.0% data present

Last updated: Fri, 12 Jan 2024 14:16:35 GMT

Data Views

	L
root mean sq anom $integral dS$ $integral dS$ [ Hydromet Seasonal_Forecast Precipitation target_length ] 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