CLM: Amount of cloud estimatives functions.
In roilanhv/longwaveR: Evaluate various downward longwave parametrizations
Description
Usage
Arguments
Value
References
Description
Amount of cloud estimatives functions.
Usage
1
Arguments
data
a data frame with all atmospherics variables
Value
a vector with cloud amount estimatives
References
Stockli R (2007) LBA-MIP driver data gap filling algorithms.
Unpublished. http://www.climatemodeling.org/lba-mip/LBAmipDriverDataFillingMethods.pdf
Accessed 7 May 2011
roilanhv/longwaveR documentation built on May 27, 2019, 1:46 p.m.
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Description Usage Arguments Value References
Description
Amount of cloud estimatives functions.
Usage
1 |
Arguments
data |
a data frame with all atmospherics variables |
Value
a vector with cloud amount estimatives
References
Stockli R (2007) LBA-MIP driver data gap filling algorithms. Unpublished. http://www.climatemodeling.org/lba-mip/LBAmipDriverDataFillingMethods.pdf Accessed 7 May 2011
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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