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and Proso millet growing seasonal rainfall of GFDL_CM3 under RCP4.5 did not show extreme values (Table 4). However, 50% of GCMs under RCP4.5 and 40% of GCMs under RCP8.5 were below the lower limit of seasonal ...
therefore consider future changes in rainfall seasonality by representing the seasonal variation in a functional form. Estimated future changes in monthly values of precipitation from each GCM are fitted ...
and intensity of extreme events are the principal impact channels. Owing to the potential for positive impacts in the near term, the net present value of climate impacts from 2007 to 2050 (using a 5% discount ...
will enhance food and nutrition security. Therefore, the main objective of the research is to identify potential areas suitable for sorghum-, cowpea, taro, and amaranth- using a GIS- based MCDA-AHP. 2 ...
. 2012). These models were selected based on its ability to better represent the spatial and temporal distribution of rainfall in different Brazilian regions (Yin et al. 2013; Gulizia and Camilloni 2015 ...
they involve rainfall and/or variability in weather (as opposed to changes in mean quantities, such as season -mean temperature), are particularly difficult for a climate model to predict. Examples of potentially ...
). The atmospheric component of an AOGCM (the atmospheric GCM ) is coupled to a land-surface scheme and used to predict changes in land- based state variables (e.g. soil moisture). GCMs compute future climates under ...
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