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root mean sq detrended-bfl ∂T ∫dY [ Estation vgt-dmp v2p0 SPOTV-ECOWAS dmp ] : ∂T Productivité en matière sèche data
dmp int_dY partial_T adif ∂T Productivité en matière sèche from Estation vgt-dmp v2p0 SPOTV-ECOWAS: SPOT-ECOWAS dmp.Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) ordered (19.00446W) to (24.99765E) by 0.008929 N= 4929 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (28.00893N) to (3.998847N) by 0.008929 N= 2690 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- missing_value
- NaN
- units
- 2.02005700462307×10-11 kilogram meter-2 radian north second-1
- history
- Averaged over T[6-15 Jan 2019, 1200 26 Aug 2019] minimum 0.0% data present
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| X | Y | |
 Estation vgt-dmp v2p0 SPOTV-ECOWAS[dmp
] | ||
 root mean sq detrended-bfl $partialdiff sub T$ $integral dY$ [ Estation vgt-dmp v2p0 SPOTV-ECOWAS dmp ] [ X Y |] | 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
- Differentiate along X Y
- Take differences along X Y
RMS (root mean square with mean *not* removed) over X Y | X Y |
RMSA (root mean square with mean removed) over X Y | X Y |
Maximum over X Y | X Y |
Minimum over X Y | X Y |
Detrend (best-fit-line) over X Y | X Y |
Note on units