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∂T ∂X ∂T [ Estation vgt-dmp v2p0 SPOTV-ECOWAS dmp ] : ∂T ∂X ∂T Productivité en matière sèche data
dmp partial_T partial_T partial_X partial_T ∂T ∂X ∂T 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 [ (0730 21 Jan 2019 - 1630 31 Jan 2019) (1630 31 Jan 2019 - 1930 10 Feb 2019) (1930 10 Feb 2019 - 0900 20 Feb 2019) (0900 20 Feb 2019 - 1500 1 Mar 2019) (1500 1 Mar 2019 - 0430 11 Mar 2019) (0430 11 Mar 2019 - 0730 21 Mar 2019) (0730 21 Mar 2019 - 1630 31 Mar 2019) (1630 31 Mar 2019 - 2230 10 Apr 2019) (2230 10 Apr 2019 - 2400 20 Apr 2019) (21-30 Apr 2019) (0000 1 May 2019 - 0130 11 May 2019) (0130 11 May 2019 - 0730 21 May 2019) (0730 21 May 2019 - 1630 31 May 2019) (1630 31 May 2019 - 2230 10 Jun 2019) (2230 10 Jun 2019 - 2400 20 Jun 2019) (21-30 Jun 2019) (0000 1 Jul 2019 - 0130 11 Jul 2019) (0130 11 Jul 2019 - 0730 21 Jul 2019) (0730 21 Jul 2019 - 1630 31 Jul 2019) (1630 31 Jul 2019 - 2400 10 Aug 2019)] :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (19.0W) to (24.99319E) by 0.008929 N= 4928 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (28.00446N) to (4.003311N) by 0.008929 N= 2689 pts :grid
Other Info
- CE
- null
- CS
- 0
- datatype
- realarraytype
- missing_value
- NaN
- units
- 7.67529625250268×10-13 kilogram meter-2 radian-1 east second-2
Last updated: Sat, 12 Jun 2021 03:19:49 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $partialdiff sub T$ $partialdiff sub X$ $partialdiff sub T$ [ Estation vgt-dmp v2p0 SPOTV-ECOWAS dmp ] [ X Y | T] | M | 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 X Y T
- Differentiate along X Y T
- Take differences along X Y T
RMS (root mean square with mean *not* removed) over X Y T | X Y X T Y T | X Y T |
RMSA (root mean square with mean removed) over X Y T | X Y X T Y T | X Y T |
Maximum over X Y T | X Y X T Y T | X Y T |
Minimum over X Y T | X Y X T Y T | X Y T |
Detrend (best-fit-line) over X Y T | X Y X T Y T | X Y T |
Note on units