data: IRI FD NMME_Seasonal_Forecast ELR_coeffsv2 paramclim precip

served from IRI/LDEO Climate Data Library

IRI FD NMME_Seasonal_Forecast ELR_coeffsv2 paramclim precip_B2: Precipitation Climatological B2 data

Precipitation Climatological B2 from IRI FD NMME_Seasonal_Forecast ELR_coeffsv2 paramclim: ELR climatological coefficients.

Independent Variables (Grids)

Lead Time: grid: /L (months) ordered (2.5 months) to (5.5 months) by 1.0 N= 4 pts :grid
Start Time: grid: /S (months since 1960-01-01) ordered (0000 1 Jan 2011) to (0000 1 Jul 2024) by 1.0 N= 163 pts :grid
Longitude (longitude): grid: /X (degree_east) periodic (0) to (1W) by 1.0 N= 360 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (90S) to (90N) by 1.0 N= 181 pts :grid

Other Info

datatype: doublearraytype
missing_value: NaN
pointwidth: 0.0
units: month /mm
standard units*: 83.3333333333333 meter^-1 year

Last updated: Mon, 15 Jul 2024 12:00:10 GMT
Expires: Wed, 14 Aug 2024 00:00:00 GMT

Data Views

	L	S	X	Y
IRI FD NMME_Seasonal_Forecast ELR_coeffsv2 paramclim precip_B2[ X Y L \| S]	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 L S
Differentiate along X Y L S
Take differences along X Y L S