Scheda di dettaglio – i prodotti della ricerca
| Dato | Valore |
|---|---|
| Title | From regional climate simulations to the hydrological information needed for basin scale impact studies |
| Abstract | The accuracy of local downscaling of rainfall predictions provided by climate models is crucial for the assessment of climate change impacts on hydrological processes because the presence of bias in downscaled precipitation may produce large bias in the assessment of soil moisture dynamics, river flows, and groundwater recharge. In this study, the output of a regional climate model (RCM) is downscaled using a stochastic modelling of the point rainfall process able to adequately reproduce the daily rainfall intermittency which is one of the crucial aspects for the hydrological processes characterizing Mediterranean environments. The historical time-series from a dense raingauge network were used for the analysis of the RCM bias in terms of dry and wet daily period and then to investigate the predicted alteration in the local rainfall regime. A Poisson Rectangular Pulse (PRP) model (Rodriguez-Iturbe et al., 1987) was finally adopted for the stochastic generation of local daily rainfall as a continuous-time point process with forcing parameters resulting from the bias correction of the RCM scenario. |
| Source | Advances in geosciences (Online) 26 (2010), pp. 25–31 |
| Keywords | Climate chenge impactsdownscalingprecipitation modelling |
| Journal | Advances in geosciences (Online) |
| Editor | Copernicus Publ., Göttingen, Germania |
| Year | 2010 |
| Type | Articolo in rivista |
| DOI | 10.5194/adgeo-26-25-2010 |
| Authors | Portoghese I.; Bruno E.; Vurro M. |
| Text | 180469 2010 10.5194/adgeo 26 25 2010 Scopus ISSN 16807340 Climate chenge impacts downscaling precipitation modelling From regional climate simulations to the hydrological information needed for basin scale impact studies Portoghese I.; Bruno E.; Vurro M. Istituto di Ricerca sulle Acque CNR The accuracy of local downscaling of rainfall predictions provided by climate models is crucial for the assessment of climate change impacts on hydrological processes because the presence of bias in downscaled precipitation may produce large bias in the assessment of soil moisture dynamics, river flows, and groundwater recharge. In this study, the output of a regional climate model RCM is downscaled using a stochastic modelling of the point rainfall process able to adequately reproduce the daily rainfall intermittency which is one of the crucial aspects for the hydrological processes characterizing Mediterranean environments. The historical time series from a dense raingauge network were used for the analysis of the RCM bias in terms of dry and wet daily period and then to investigate the predicted alteration in the local rainfall regime. A Poisson Rectangular Pulse PRP model Rodriguez Iturbe et al., 1987 was finally adopted for the stochastic generation of local daily rainfall as a continuous time point process with forcing parameters resulting from the bias correction of the RCM scenario. 26 http //http //www.adv geosci.net/26/25/2010/adgeo 26 25 2010.pdf published_paper published_paper_adgeo_26_25_2010.pdf Articolo in rivista Copernicus Publ. 1680 7359 Advances in geosciences Online Advances in geosciences Online Adv. geosci. Online Advances in geosciences. Online ADGEO Online BRUNO EMANUELA ivan.portoghese PORTOGHESE IVAN michele.vurro VURRO MICHELE TA.P04.005.007 Strumenti di mitigazione dello stress quali quantitativo per i sistemi idrici |