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

поставляется с 129.236.110.25

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

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

Независимые Переменные (Сетки)

S (forecast_reference_time): grid: /S (months since 1960-01-01) ordered (0000 16 Dec 1999) to (0000 16 Mar 2025) by 1.0 N= 304 pts :grid
Latitud (latitude): grid: /Y (degree_north) ordered (32.75N) to (62.75S) by 0.5 N= 192 pts :grid

Другая Информация

bufferwordsize: 8
CE: null
CS: null
datatype: doublearraytype
file_missing_value: -999.0
missing_value: NaN
pointwidth: 0
units: 0.00145444104332861 radian east year
history: Averaged over X[118W, 28W] minimum 0.0% data present

Последние изменения: Thu, 06 Mar 2025 07:30:01 GMT
Срок годности: Sat, 05 Apr 2025 00:00:00 GMT

Data Views

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

Average over Y S | Y S |
RMS (root mean square with mean *not* removed) over Y S | Y S |
RMSA (root mean square with mean removed) over Y S | Y S |
Maximum over Y S | Y S |
Minimum over Y S | Y S |
Detrend (best-fit-line) over Y S | Y S |

Note on units