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detrended-bfl [ Ethiopia CPT NextGen FMAM_PRCP Models NCEP-CFSv2 Forecasts target_length ]: Length of forecast time data
target_length Length of forecast time from Ethiopia CPT NextGen FMAM_PRCP Models NCEP-CFSv2 Forecasts: Forecast and Error.Independent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (3.0)] :grid
- Start time (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (0000 1 Sep 2019) to (0000 1 Jan 2025) by 12.8 N= 6 pts :grid
Other Info
- bufferwordsize
- 8
- calendar
- 360
- CE
- null
- CS
- null
- datatype
- doublearraytype
- missing_value
- NaN
- pointwidth
- 1.0
- units
- days
- standard units*
- 86400 second
- history
- Averaged in T with overlapping interval 4
Last updated: Wed, 01 Feb 2023 14:07:40 GMT
Expires: Thu, 01 Jan 2026 00:00:00 GMT
Data Views
Views
line plots
color bars
scatter| L | S | |
 detrended-bfl [ Ethiopia CPT NextGen FMAM_PRCP Models NCEP-CFSv2 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