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

поставляется с 129.236.110.25

∫dS root mean sq ∫dS [ OLE2 CPT ESCENARIO2 PRECIPITACION ] : Probabilidades - Precipitación - Categorías data

∫dS root mean sq ∫dS [ OLE2 CPT ESCENARIO2 PRECIPITACION ] .

Независимые Переменные (Сетки)

Forecast Lead Time in Months: grid: /L (months) ordered [ (2.5)] :grid
S (forecast_reference_time): grid: /S (months since 1960-01-01) ordered (0000 1 Dec 1999) to (0000 1 Jun 2025) by 1.0 N= 307 pts :grid
Longitud (longitude): grid: /X (degree_east) ordered (117.75W) to (28.25W) by 0.5 N= 180 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: -1.0
missing_value: NaN
pointwidth: 0
units: 6.94444444444444×10^-05 year²
history: Averaged over C[Bajo la Normal, Sobre la Normal] minimum 0.0% data present

Последние изменения: Tue, 06 May 2025 06:30:01 GMT
Срок годности: Thu, 05 Jun 2025 00:00:00 GMT

Data Views

	L	S	X	Y
$integral dS$ root mean sq $integral dS$ [ OLE2 CPT ESCENARIO2 PRECIPITACION ] 2.5 months[ X Y \| S L]	M	M	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 S
Differentiate along X Y S
Take differences along X Y S