Sentence examples for forecast the evolution from inspiring English sources
This has implications for ash dispersal models routinely used to forecast the evolution of ash clouds.
Such a model can be used to forecast the evolution of the field under different scenarios of production and injection.
Prof Feltham's team has developed a model to forecast the evolution of melt ponds in the Arctic and has incorporated this into more general climate sea-ice models.
To demonstrate the applicability and value of the proposed methodology, it is applied to forecast the evolution of plastic housing waste from flat panel display (FPD) TVs, FPD monitors, cathode ray tube (CRT) TVs and CRT monitors.
The ability of the PREV'AIR system to forecast the evolution of photochemical and particle pollution on the domains considered is demonstrated: for instance daily ozone maxima forecasts correlate with observations with 0.75 0.85 mean coefficients.
Forecasting emerging waste streams is challenging because of high uncertainty on the product lifetime and material composition, which should be taken into account to forecast the evolution in amount and composition of such waste streams.
Two areas that have been radically transformed by those advances are the ability to prognosticate cancer outcome (forecasting the evolution of the tumour and fate of the patient) and the ability to predict how a tumour will respond to a specific drug.
This prepared the ground for the new paper, which outlines a method for forecasting the evolution of conflicts.Progress, of a sortDr Johnson's proposal rests on a pattern he and his team found in data on insurgent attacks against American forces in Afghanistan and Iraq.
Forecasting the evolution of the main geomagnetic field is no trivial matter, since its time evolution is controlled by the complex interaction of fluid flow and magnetic field within Earth's fluid core (e.g., Roberts and King 2013).
Conditions for the development of harmful insects can be predicted by forecasting the evolution of weather, too.
The renewed interest in modelling the dynamics and forecasting the evolution of emerging and reemerging diseases has been spurred on further with the arrival of the recent new H1N1 influenza pandemic [1], [2].
