data: $integral dY$ root mean sq $integral dX$ [ OLE2 CPT ESCENARIO2 SPEARMAN ]

servi depuis 129.236.110.25

∫dY root mean sq ∫dX [ OLE2 CPT ESCENARIO2 SPEARMAN ] : Spearman Precipitación data

∫dY root mean sq ∫dX [ OLE2 CPT ESCENARIO2 SPEARMAN ] .

Variables Indépendantes (Grilles)

Longitude (longitude): grid: /X (degree_east) ordered (118W) to (28W) by 0.5 N= 181 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (33N) to (63S) by 0.5 N= 193 pts :grid

Autres Informations

bufferwordsize: 8
CE: null
CS: null
datatype: doublearraytype
file_missing_value: -999.0
missing_value: NaN
pointwidth: 0
units: 0.000304617419786709 radian² north
history: Averaged over S[0000 1 Jan 2000, 0000 1 May 2025] minimum 0.0% data present

Dernière Mise à jour: Tue, 06 May 2025 06:30:01 GMT
Expire: Thu, 05 Jun 2025 00:00:00 GMT

Data Views

	X	Y
$integral dY$ root mean sq $integral dX$ [ OLE2 CPT ESCENARIO2 SPEARMAN ] [ X Y \|]	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 X Y
Differentiate along X Y
Take differences along X Y

Average over X Y | 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