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∂S [ Ethiopia CPT NextGen ONDJ_PRCP Models GFDL-CM2p5-FLOR-A06 Forecasts target_length ]: ∂S Length of forecast time data
target_length ∂S Length of forecast time from Ethiopia CPT NextGen ONDJ_PRCP Models GFDL-CM2p5-FLOR-A06 Forecasts: Forecast and Error.Independent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (3.0)] :grid
- S (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (Sep 2019 - Aug 2020) to (Sep 2024 - Aug 2025) by 12.0 N= 6 pts :grid
Other Info
- calendar
- 360
- CE
- null
- CS
- null
- datatype
- realarraytype
- missing_value
- NaN
- pointwidth
- 1.0
- units
- 1036800 second year-1
- history
- Averaged in T with overlapping interval 4
Last updated: Wed, 01 Feb 2023 14:07:40 GMT
Data Views
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color bars
scatter| L | S | |
 $partialdiff sub S$ [ Ethiopia CPT NextGen ONDJ_PRCP Models GFDL-CM2p5-FLOR-A06 Forecasts target_length ] 3.0 months[ S L |] | M | M |
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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 S
- Differentiate along S
- Take differences along S
RMS (root mean square with mean *not* removed) over S |
RMSA (root mean square with mean removed) over S |
Maximum over S |
Minimum over S |
Detrend (best-fit-line) over S |
Note on units