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mean detrended-bfl [ Estation vgt-dmp v2p0 SPOTV-ECOWAS dmp ] : Productivité en matière sèche data
dmp adif Productivité en matière sèche from Estation vgt-dmp v2p0 SPOTV-ECOWAS: SPOT-ECOWAS dmp.Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) ordered [ (1-10 Jan 2019) (11-20 Jan 2019) (21-31 Jan 2019) (1-10 Feb 2019) (11-20 Feb 2019) (21-28 Feb 2019) (1-10 Mar 2019) (11-20 Mar 2019) (21-31 Mar 2019) (1-10 Apr 2019) (11-20 Apr 2019) (21-30 Apr 2019) (1-10 May 2019) (11-20 May 2019) (21-31 May 2019) (1-10 Jun 2019) (11-20 Jun 2019) (21-30 Jun 2019) (1-10 Jul 2019) (11-20 Jul 2019) (21-31 Jul 2019) (1-10 Aug 2019) (11-20 Aug 2019) (21-31 Aug 2019)] :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (28.00446N) to (4.003311N) by 0.008929 N= 2689 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- missing_value
- NaN
- units
- kg /hectare
- standard units*
- 0.0001 kilogram meter-2
- history
- Averaged over X[19.00893W, 25.00212E] minimum 0.0% data present
Last updated: Sat, 12 Jun 2021 03:19:49 GMT
Data Views
Views
data as colors
data as contours| T | Y | |
 Estation vgt-dmp v2p0 SPOTV-ECOWAS[dmp
] | ||
 mean detrended-bfl [ Estation vgt-dmp v2p0 SPOTV-ECOWAS dmp ] [ Y | T] | 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 Y T
- Differentiate along Y T
- Take differences along Y T
RMS (root mean square with mean *not* removed) over Y T | Y T |
RMSA (root mean square with mean removed) over Y T | Y T |
Maximum over Y T | Y T |
Minimum over Y T | Y T |
Detrend (best-fit-line) over Y T | Y T |
Note on units