rm.buffer

Data frame obtained after simulation using the function <code><a rd-options="" href="/link/projection.lagged?package=MetGen&version=0.5" data-mini-rdoc="MetGen::projection.lagged">projection.lagged</a></code>

simdata

Numeric vector specifying the number of sites used

nstat

Numeric vector that specifies the period of buffer (number of days* number of climatological observations per day)

bi.length

Remove buffer after using it for simulation

An adaptation of the multi-variable stochastic weather generator proposed in 'Rglimclim' to perform gap-filling and temporal extension at sub-daily resolution. Simulation is performed based on large scale variables and climatic observation data that could be generated from different gauged stations having geographical proximity. SWG relies on reanalyses. Multi-variable dependence is taking into account by using the decomposition of the product rule (in statistics) into conditional probabilities. See <https://hal.archives-ouvertes.fr/hal-02554676>.

Nesrine Farhani

MetGen

Stochastic Weather Generator

rm.buffer function

Data frame obtained after simulation using the function <code><a rd-options='' href='projection.lagged'>projection.lagged</a></code>

rm.buffer: Remove buffer

Description

Usage

Arguments

Value

See Also