Fig. 3 Potential distribution of Hakea sericea in the regional-scale study area obtained by binarization of the average model projection (a), and in the local-scale study area, obtained as an ensemble forecast in biomod2 (b).
For example, one 2007 paper in the journal Science is titled "Model Projections of an Imminent Transition to a More Arid Climate in Southwestern North America" — yes, "imminent" — and reports "a broad consensus among climate models" that a permanent drought, bringing Dust Bowl-type conditions, "will become the new climatology of the American Southwest within a time frame of years to decades".
First, we compare the decomposition over time of near-past carbon emissions and near-future model projections as a methodology to validate baseline scenarios.
In recent years, the generation of climate model projections, representing a range of future scenarios, has enabled the development of strategic decisions in relation to risk management, and created a demand for cross-sectorial adaptation and mitigation processes.
Whereas wind-driven circulation theory (Island Rule) is able to explain the decadal variations of the ITF volume transport, there have been model projections of a declining trend of the ITF which cannot be explained by the wind-driven circulation (Sen Gupta et al. 2016; Feng et al. 2017).
The long-term historical trends could also be reanalyzed using daily data (where it is available) which, in turn, could be merged with model projections on a daily scale.
Moreover, model projections indicate an increase in the frequency of precipitation extremes over LPB during El Niño and La Ninã events in future climate.
In the final version (Additional file 17), the total is 71.4 PgC y-1 and sub-totals depart widely from the Miami model projections implying an alternative global pattern of productivity.
Given the widespread use of the MoT to inform decision making, the aim of this study was to compare the MoT model projections for Cross River, a Nigerian state with a low-level generalized HIV epidemic of 8%, with a revised MoT model that incorporates additional heterogeneity and updated parameters.
Recognizing that uncertainty in both R 0 and γ will affect the accuracy of model projections we obtain an upper limit on β0 (not a confidence interval because the parameters are not independent) from β+ = R 0 +×γ+ and a lower limit from β0 − = R 0 −×γ−, where and indicate the upper and lower limits on the estimate intervals for the respective parameters.
