Is it possible to apply the regional frequency analysis to daily extreme air temperature data?

The improvement of probabilistic assessments extreme air temperature events is a major goal for agrometeorological studies. regional frequency analysis based on L-moments (RFA-Lmom) has been successfully used to improve the study hydrometeorological variables such as rainfall events. This investigated hypothesis that RFA-Lmom can be applied maximum (Tmax) and minimum (Tmin) data. RFA-Lmon was calculated considering its original algorithm (multiplicative approach) new procedure referred additive approach. suitability both approaches evaluated through Monte Carlo experiments, which simulated homogeneous heterogeneous groups Tmin Tmax series, case weather stations situated in state São Paulo, Brazil. results found this indicated data tropical/subtropical regions Paulo. In addition, approach consistently outperformed multiplicative Both discordance measures presented their best performances when under goodness-of-fit measure may also replaced by bivariate extension group formed more than 15 series.