covarBLRPM {HyetosMinute} | R Documentation |
The function covarBLRPM
is the modelled covariance of rainfall using the equation of original Bartlett-Lewis rectangular pulse model. The model supports exponential, gamma and Weibull distribution for cell intensity.
covarBLRPM(l,g,b,n,mx,sxmx,h,lag,weibTF)
l |
Parameter of Bartlett-Lewis rectangular pulse model which determines the storm arrivals according to a Poisson process. |
b |
Parameter of Bartlett-Lewis rectangular pulse model which determines the cell arrivals according to a Poisson process. |
g |
Parameter of Bartlett-Lewis rectangular pulse model which determines the entire length of the storm according to an exponential distribution. |
n |
Parameter of Bartlett-Lewis rectangular pulse model which determines the individual cell lengths according to an exponential distribution. |
mx |
A positive number that specifies the mean of cell intensities. |
sxmx |
A positive number that specifies the ratio of standard deviation to mean cell intensity. |
h |
Time scale (e.g. 1/60, 1/30, 1/12, 1, 6, 12, 24 hour etc.). |
lag |
The lag. |
weibTF |
Logical value that specifies if the intensities follow the Weibull distribution. |
covar |
Covariance of rainfall depths. |
Kossieris Panagiotis pankoss@hotmail.com
Rodriguez-Iturbe I., D. R. Cox, and V. Isham, Some models for rainfall based on stochastic point processes, Proc. R. Soc. Lond., A 410, 269-288, 1987.