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results are the worst. On the other hand, individual gauge–radar and satellite products are not necessarily better than some reanalysis products, and they are occasionally even not as good as model results in some performance metrics. For instance, the JJA precipitation bias from PERSIANN (8) satellite-only product is highest among all products (including models). Therefore, for reanalysis product evaluations, several gauge–radar and satellite products along with their uncertainties should be used
results are the worst. On the other hand, individual gauge–radar and satellite products are not necessarily better than some reanalysis products, and they are occasionally even not as good as model results in some performance metrics. For instance, the JJA precipitation bias from PERSIANN (8) satellite-only product is highest among all products (including models). Therefore, for reanalysis product evaluations, several gauge–radar and satellite products along with their uncertainties should be used
( IPCC 2012 ). For African countries, impacts of natural hazards are projected to be 20–30 times larger than in industrialized countries ( IPCC 2014 ). The most severe climate change impacts can be expected for regions of high population density and poverty rates ( Müller et al. 2014 ), as often observed in African cities. Hirabayashi et al. (2013) found a high consistency among global climate models predicting large increases in flood frequency in Africa under the strongest climate change scenario
( IPCC 2012 ). For African countries, impacts of natural hazards are projected to be 20–30 times larger than in industrialized countries ( IPCC 2014 ). The most severe climate change impacts can be expected for regions of high population density and poverty rates ( Müller et al. 2014 ), as often observed in African cities. Hirabayashi et al. (2013) found a high consistency among global climate models predicting large increases in flood frequency in Africa under the strongest climate change scenario
