varc: Update dynamical values of nu and alfa

In nexModeling/dddSnow: Snow

Description

The function varc() updates and returns dynamical values of nu and alfa, of the snowroutine. The correlation coefficient is evaluated as the sum of the correlation N*N, 2*N*u and u*u matrices Should be a decreasing value with n, large n small c All variables must be conditional (i.e. calculated on snowcovered area) Note the distinction between conditional and unconditional units of melt 18.03.2015 Recodet using only the correlation function. Alfanull ( sdalphax) and nynull( sdnux) are input

Usage

varc(ppa, ac, drange, nudyn, alphadyn, sdnux, sdalphax, nnn, u, n, redsca)

Arguments

ppa	SCA,relative reduction of SCA, previously accumulated units,current accu units and melt units
ac	(previously alfanull) parameters of relationship mean standarddeviation of conditional precip.
drange	parameters of relationship mean standarddeviation of conditional precip.
nudyn	initial distr parameters, current distr parameters
alphadyn	initial distr parameters, current distr parameters
sdnux	(ny0) initial distr parameters, current distr parameters
sdalphax	(alfa0) initial distr parameters, current distr parameters
nnn	SCA,relative reduction of SCA, previously accumulated units,current accu units and melt units
u	SCA,relative reduction of SCA, previously accumulated units,current accu units and melt units
n	SCA,relative reduction of SCA, previously accumulated units,current accu units and melt units
redsca	SCA,relative reduction of SCA, previously accumulated units,current accu units and melt units

Value

a list of three updated values: nudyn,alphadyn,nnn

Examples

## Not run: 
varc()

## End(Not run)

nexModeling/dddSnow documentation built on May 23, 2019, 4:28 p.m.