View source: R/deriveSurfaceRelativeHumidity.S4.R
| deriveSurfaceRelativeHumidity.S4 | R Documentation |
Performs a basic calculation of specific humidity while minimizing the amount of data simultaneously loaded in memory.
deriveSurfaceRelativeHumidity.S4(
gds,
grid,
latLon,
runTimePars,
memberRangeList,
foreTimePars
)
gds |
A java “GridDataset”. This is used to load all input java “GeoGrid”'s to derive the target variable. |
grid |
An input java GeoGrid. This is the grid of the ‘leading var’ ( |
latLon |
A list of geolocation parameters, as returned by getLatLonDomainForecast |
runTimePars |
A list of run time definition parameters, as returned by getRunTimeDomain.ECOMS |
memberRangeList |
A list of ensemble java ranges as returned by getMemberDomain.S4 |
foreTimePars |
A list of forecast time definition parameters, as returned by getForecastTimeDomain.S4 |
The function essentially follows the same approach as makeSubset.S4, excepting that at each time step
it loads more than one “GeoGrid” (both tas and tdps) in order to compute relative humidity.
A n-dimensional array. Dimensions are labelled by the “dimnames” attribute
J Bedia, borrowing MatLab code from S. Herrera
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