Modeling hotspots of climate change in the Sahel using object based regionalization of multidimensional gridded datasets
Por: Hagenlocher, Michael ... [et al.]
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Colaborador(es): Lang, Stefan
| Holbling, Daniel
| Tiede, Dirk
| Kienberger, Stefan
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Tipo de material: 







Tipo de ítem | Biblioteca de origen | Colección | Signatura | Vol info | Copia número | Estado | Fecha de vencimiento | Código de barras | Reserva de ejemplares |
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Campus II | Hemeroteca | PP-2 550 I592j (Navegar estantería) | Vol.7, núm.1 (January, 2014) | Ej. 1 | Disponible | R140256 |
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CAMPUS II
The population of subsaharan Africa and particularly of the countries of the sahel and western Africa, is one of the most vulnerable to climate change and climate-related extreme events. To provide updated information for targeted climate change adaptation measures, we modeled hotspots of climate change and related extreme events in an integrative manner. This was achieved by constructing a spatial composite indicator of comulative climate change impact, which integrates four climate and hazard related subindicators: seasonal temperature trends seasonal precipitation trends drought occurrences, and major flood events