The aim of this study is to evaluate the impact of chmate change on availability of workability days, using the Agroscenari project climate scenarios for the period 2021 -2050. In this paper we present a method for extrapolating a sequence of 365-daily projections of precipitation, which constitutes the input for the workability days model. In order to maintain as much information as possible of inter-annual precipitation variability, we propose an alternative approach to the use of Ensamble Mean. Our proposai is based on a combination of cluster analysis and multiple sampling technique and let us also to bave a measure of the predictìon error.
On the use of daily precipitation projections for calculating the availability of workability days in 2021-2050
2013
Abstract
The aim of this study is to evaluate the impact of chmate change on availability of workability days, using the Agroscenari project climate scenarios for the period 2021 -2050. In this paper we present a method for extrapolating a sequence of 365-daily projections of precipitation, which constitutes the input for the workability days model. In order to maintain as much information as possible of inter-annual precipitation variability, we propose an alternative approach to the use of Ensamble Mean. Our proposai is based on a combination of cluster analysis and multiple sampling technique and let us also to bave a measure of the predictìon error.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
