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the customer needs and the key science questions, playing to our strengths while shrinking in other areas where we increase our partnerships • This requires careful consideration of the changes in the demands for climate science, awareness of the next big things in science and technology and bridging
climate interacts with underlying socioeconomic conditions, and how further climate change to the 2050s may exacerbate these risks. Seeing the ‘bigger picture’ where multiple risks compound, interact with one another and drive change will remain important for those charged with designing, monitoring
provide a partial picture of the role climate change plays in shaping development outcomes. Seeing the ‘bigger picture’ of climate risks where multiple socio-economic risks compound, will remain important for those charged with designing, monitoring and evaluating development programmes. Most risks
to know how big the trends might be due to that noise). If, on the other hand, the model atmosphere behaves differently when the model switches from historical to future forcing (doubtful?) then that is an issue that is beyond the scope of this analysis. Following further feedback at the moderation
future and current weather variables that cannot be directly observed by the human senses (Acharya, 2011). Despite the availability of literature on weather variability and its effects on fisher folk communities on Lake Victoria, there is a big gap in the literature on how these communities predict
. There is variation on the kebele level malaria; the big malaria epidemics were seen in the midlands, and this was not as expected. If we need to see the effect on based on agro eco zones, we need to change our sampling. As most cases are observed in midlands 75%. Q7. Asefaw Getachew (PATH/MACEPA
................................................................................................ 50 3.1.5 Agricultural workers ................................................................................ 51 3.1.6 The bigger picture – climate change and food security .......................... 51 3.2 Water resources and water
................................................................................................ 50 3.1.5 Agricultural workers ................................................................................ 51 3.1.6 The bigger picture – climate change and food security .......................... 51 3.2 Water resources and water
such as satellites, weather stations and ocean buoys. After the model run is complete, its output is processed and analysed. ALEX: So, what are the advantages and disadvantages of this approach? The big advantage of the dynamical approach is that the predictions are based on simulating the many
environments are especially vulnerable such as the Ganges Brahmaputra Meghna delta. Coastal inundation modelling: a developing area but requires up-to-date and high quality elevation data (a big limitation for many SIDS). Gaining accurate elevation data may require working closely with local government
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