STATISTICAL APPROACHES VERSUS WEATHER GENERATOR TO DOWNSCALE RCM OUTPUTS TO POINT SCALE: A COMPARISON OF PERFORMANCES
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| Format: | Artículo científico |
| Langue: | en |
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Universidade Federal da Paraíba
2014
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| _version_ | 1876447117742964736 |
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| author | Veronica Villani |
| author_facet | Veronica Villani |
| contents | STATISTICAL APPROACHES VERSUS WEATHER GENERATOR TO DOWNSCALE RCM OUTPUTS TO POINT SCALE: A COMPARISON OF PERFORMANCES Veronica Villani Guido Rianna Paola Mercogliano Alessandra Lucia Zollo Pasquale Schiano Ingeniería geo slope stability Climate changes bias correction quantile mapping To properly evaluate weather variables regulating the occurrence of geo-hydrological hazards, the current constraints of climate models imply the need of adopting statistical approaches in cascade to GCM/RCM for the assessment of the potential variations associated to climate changes. Since, in the last years, several approaches, often freely available, have been proposed and applied to investigate various hazards in different geographical areas and geomorphological contexts, a deeper understanding about their performances and constraints is crucial; in the work, it is carried out focusing the attention on two kind of approaches widely adopted in impact studies: bias correction methods (in particular, quantile mapping tools) and weather generators. Both methodology have been applied to outputs of an high resolution RCM simulation carried out on Italian territory for analyzing two very localized (and then challenging) landslide case studies. Beyond an assessment about relative performances in reproducing weather variables on the areas, the goal concerns an increasing awareness about how these approaches could affect the climate signal, physically detected by RCM, not only in outputs weather variables but also in derived components of soil surface budgets strictly governing the occurrence of landslide phenomena. 2014 artículo científico 1982-3932 https://www.redalyc.org/articulo.oa?id=283241660002 en http://www.redalyc.org/revista.oa?id=2832 Journal of Urban and Environmental Engineering application/pdf Universidade Federal da Paraíba Journal of Urban and Environmental Engineering (Brasil) Num.2 Vol.8 |
| format | Artículo científico |
| id | redalyc_283241660002 |
| institution | Redalyc |
| language | en |
| publishDate | 2014 |
| publisher | Universidade Federal da Paraíba |
| spellingShingle | STATISTICAL APPROACHES VERSUS WEATHER GENERATOR TO DOWNSCALE RCM OUTPUTS TO POINT SCALE: A COMPARISON OF PERFORMANCES Veronica Villani Ingeniería geo slope stability Climate changes bias correction quantile mapping STATISTICAL APPROACHES VERSUS WEATHER GENERATOR TO DOWNSCALE RCM OUTPUTS TO POINT SCALE: A COMPARISON OF PERFORMANCES Veronica Villani Guido Rianna Paola Mercogliano Alessandra Lucia Zollo Pasquale Schiano Ingeniería geo slope stability Climate changes bias correction quantile mapping To properly evaluate weather variables regulating the occurrence of geo-hydrological hazards, the current constraints of climate models imply the need of adopting statistical approaches in cascade to GCM/RCM for the assessment of the potential variations associated to climate changes. Since, in the last years, several approaches, often freely available, have been proposed and applied to investigate various hazards in different geographical areas and geomorphological contexts, a deeper understanding about their performances and constraints is crucial; in the work, it is carried out focusing the attention on two kind of approaches widely adopted in impact studies: bias correction methods (in particular, quantile mapping tools) and weather generators. Both methodology have been applied to outputs of an high resolution RCM simulation carried out on Italian territory for analyzing two very localized (and then challenging) landslide case studies. Beyond an assessment about relative performances in reproducing weather variables on the areas, the goal concerns an increasing awareness about how these approaches could affect the climate signal, physically detected by RCM, not only in outputs weather variables but also in derived components of soil surface budgets strictly governing the occurrence of landslide phenomena. 2014 artículo científico 1982-3932 https://www.redalyc.org/articulo.oa?id=283241660002 en http://www.redalyc.org/revista.oa?id=2832 Journal of Urban and Environmental Engineering application/pdf Universidade Federal da Paraíba Journal of Urban and Environmental Engineering (Brasil) Num.2 Vol.8 |
| title | STATISTICAL APPROACHES VERSUS WEATHER GENERATOR TO DOWNSCALE RCM OUTPUTS TO POINT SCALE: A COMPARISON OF PERFORMANCES |
| topic | Ingeniería geo slope stability Climate changes bias correction quantile mapping |
| url | https://www.redalyc.org/articulo.oa?id=283241660002 |