Assessment of trends in hydrological extremes using regional magnification factors

assessment of the efficiency of s.p.g.c refineries using network dea

data envelopment analysis (dea) is a powerful tool for measuring relative efficiency of organizational units referred to as decision making units (dmus). in most cases dmus have network structures with internal linking activities. traditional dea models, however, consider dmus as black boxes with no regard to their linking activities and therefore do not provide decision makers with the reasons...

Trends in Moderate Rainfall Extremes: A Regional Monotone Regression Approach

Rainfall extremes are thought to have increased over recent years. Typically linear trends have been considered to describe the temporal evolution of high quantiles of the daily rainfall distribution. For long records it is important to allow more flexibility. Quantile regression methods are available to estimate monotone trends for single stations. Having multiple stations in a region, the sig...

Future global hydrological extremes uncertainty

Introduction Conclusions References

Trends in Rainfall Extremes

Evaluation of trends in high temperature extremes in north-western Europe in regional climate models

Projections of future changes in weather extremes on the regional and local scale depend on a realistic representation of trends in extremes in regional climate models (RCMs). We have tested this assumption for moderate high temperature extremes (the annual maximum of the daily maximum 2 m temperature, Tann.max). Linear trends in Tann.max from historical runs of 14 RCMs driven by atmospheric re...