extractTnFromAnomalies: Extracts generated time series of Daily Minimum Temperature...
In ecor/RMAWGEN: Multi-Site Auto-Regressive Weather GENerator
extractTnFromAnomalies R Documentation
Extracts generated time series of Daily Minimum Temperature from a random multi-realization obtained by generateTemperatureTimeseries function
Description
Extracts generated time series of Daily Minimum Temperature from a random multi-realization obtained by generateTemperatureTimeseries function
Usage
extractTnFromAnomalies(res_multigen, std, SplineAdv)
Arguments
res_multigen
matrix containing standardized values of daily temperature as returned by generateTemperatureTimeseries (first item)
std
vector containing standard deviation for each minimun temperature anomalies
SplineAdv
matrix containing the averaged daily values of minimum temperature obtained by a spline interpolation of the monthly climate
Value
a matrix with generated minimum temperature
Author(s)
Emanuele Cordano, Emanuele Eccel
ecor/RMAWGEN documentation built on Jan. 4, 2024, 5:56 p.m.
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| extractTnFromAnomalies | R Documentation |
Extracts generated time series of Daily Minimum Temperature from a random multi-realization obtained by generateTemperatureTimeseries function
Description
Extracts generated time series of Daily Minimum Temperature from a random multi-realization obtained by generateTemperatureTimeseries function
Usage
extractTnFromAnomalies(res_multigen, std, SplineAdv)
Arguments
res_multigen |
matrix containing standardized values of daily temperature as returned by |
std |
vector containing standard deviation for each minimun temperature anomalies |
SplineAdv |
matrix containing the averaged daily values of minimum temperature obtained by a spline interpolation of the monthly climate |
Value
a matrix with generated minimum temperature
Author(s)
Emanuele Cordano, Emanuele Eccel
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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