| fit.MAR1.amount {GWEX} | R Documentation |
fit.MAR1.amount
Description
estimate parameters which control the dependence between intensities with a MAR(1) process
Usage
fit.MAR1.amount(P.mat, isPeriod, th, copulaInt, M0, A)
Arguments
P.mat |
precipitation matrix |
isPeriod |
vector of logical n x 1 indicating the days concerned by a 3-month period |
th |
threshold above which we consider that a day is wet (e.g. 0.2 mm) |
copulaInt |
type of dependance between inter-site amounts: 'Gaussian' or 'Student' |
M0 |
covariance matrix of gaussianized prec. amounts for all pairs of stations |
A |
Matrix containing the autocorrelation (temporal) correlations |
Value
list with the following items
-
M0 covariance matrix of gaussianized prec. amounts for all pairs of stations
-
A omega correlations for all pairs of stations
-
covZ covariance matrix of the MAR(1) process
-
sdZ standard deviation of the diagonal elements
-
corZ correlation matrix of the MAR(1) process
-
dfStudent degrees of freedom for the Student copula if CopulaInt is equal to "Student"
Author(s)
Guillaume Evin
References
Matalas, N. C. 1967. “Mathematical Assessment of Synthetic Hydrology.” Water Resources Research 3 (4): 937–45. https://doi.org/10.1029/WR003i004p00937.
Bárdossy, A., and G. G. S. Pegram. 2009. “Copula Based Multisite Model for Daily Precipitation Simulation.” Hydrology and Earth System Sciences 13 (12): 2299–2314. https://doi.org/10.5194/hess-13-2299-2009.