data: $integral dX$ $integral dLA$ [ ECMWF S2S JMA forecast control atmos

served from IRI/LDEO Climate Data Library

∫dX ∫dLA [ ECMWF S2S JMA forecast control atmos_column tcw ] : Total Column Water (Vertically integrated total water (vapour cloud+water/ice)) data

forecast control atmos_column tcw int_dLA Total Column Water (Vertically integrated total water (vapour cloud+water/ice)) from ECMWF S2S JMA: JMA Ensemble System.

Independent Variables (Grids)

LA (forecast_period): grid: /LA (days) ordered (0.5 days) to (33.5 days) by 1.0 N= 34 pts :grid
forecast start time (forecast_reference_time): grid: /S (days since 1960-01-01) ordered (1200 5 Jan 2016) to (1200 28 Mar 2024) by 1.0 N= 3006 pts :grid
Longitude (longitude): grid: /X (degree_east) ordered (0.75W) to (0.75W) by 1.5 N= 241 pts :grid
latitude (latitude): grid: /Y (degree_north) ordered (90N) to (90S) by 1.5 N= 121 pts :grid

Other Info

bufferwordsize: 8
CE: null
CS: null
datatype: doublearraytype
file_missing_value: 9.99900026E20
gribPDSpattern: 04XXXX000B0133
missing_value: NaN
pointwidth: 0.0
standard_name: atmosphere_mass_content_of_water
units: 1507.9644737231 kilogram meter^-2 radian east second

Last updated: Fri, 19 Apr 2024 07:22:27 GMT

Data Views

	LA	S	X	Y
$integral dX$ $integral dLA$ [ ECMWF S2S JMA forecast control atmos_column tcw ] [ X Y \| LA 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 LA S
Differentiate along X Y LA S
Take differences along X Y LA S