data: $integral dS$ $integral dM$ detrended-bfl [ Models SubC RSMAS CCSM4 forecast hfls ]

served from IRI/LDEO Climate Data Library

∫dS ∫dM detrended-bfl [ Models SubC RSMAS CCSM4 forecast hfls ] : Surface Latent Heat Flux data

RSMAS CCSM4 forecast hfls adif int_dM Surface Latent Heat Flux from Models SubC: Subseasonal Consortium (SubC).

Independent Variables (Grids)

Lead (forecast_period): grid: /L (days) ordered (0.5 days) to (44.5 days) by 1.0 N= 45 pts :grid
M (realization): grid: /M (ids) ordered (0.5) to (9.5) by 1.0 N= 10 pts :grid
S (forecast_reference_time): grid: /S (days since 1960-01-01) ordered (1200 21 Jun 2017) to (1200 29 May 2024) by 7.0 N= 363 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

bufferwordsize: 8
CE: null
CS: null
datatype: doublearraytype
file_missing_value: 9.96920997E36
level_type: surface
missing_value: NaN
pointwidth: 0.0
standard_name: surface_upward_latent_heat_flux
units: W /m² ids days

Last updated: Wed, 29 May 2024 07:08:00 GMT

Data Views

	L	M	S	X	Y
$integral dS$ $integral dM$ detrended-bfl [ Models SubC RSMAS CCSM4 forecast hfls ] [ X Y \| L M S]	M	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 M S
Differentiate along X Y L M S
Take differences along X Y L M S