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In our assimilation system MoSST −DAS, the error covariance P f is calculated via three different approaches: an ensemble-based covariance analysis (Sun et al. 2007; Sun and Kuang 2015), an empirical covariance based on forecast solution properties (Tangborn and Kuang 2015), and an optimal interpolation (OI) scheme with a predefined time-invariant covariance (Kuang et al. 2009).
We found that hybrid models (i.e., one model such as the Duong model for transient flow coupled with a different model, such as the Arps hyperbolic model with an appropriate value of the parameter "b") are appropriate for forecasting oil production and that it is possible to forecast solution gas production with availability of adequate data.
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When ensemble spread is small and the forecast solutions are consistent within multiple model runs, forecasters perceive more confidence in the ensemble mean, and the forecast in general.
Mobil33t, a team of iPhone application developers who recently launched DoGood, and CrowdClarity, an innovative sales forecasting solution, among several other budding student start-ups.
The understanding of the Earth's atmosphere is important for advancement of weather forecasting, for solution of spacecraft reentry problems and for study of the atmospheres of other planets.
Second, the capacity of professionals (forecasting, adapted solutions (cost, acceptance, global coverage, etc).) which is needed to handle the future workload in the health care system is an issue.
Therefore it turned out to be necessary to forecast the excellent solution in terms of selecting critical factors for such problems using a decision-making technique.
An accurate forecast is an effective solution for energy management system problems such as load shedding, peak demand and electrical infrastructure development [5].
This earthquake, which is not characterized by a simple patch but by two patches of slip, would be a good example for evaluating the performance and the robustness of the tsunami forecast from a CMT solution.
This long-term solution is forecast to cost $5 million in a project to be completed in 2017.
The development of the parallel hierarchical (PH) network-based forecasting systems allows the solution of a problem in automatic object control, laser-based data transfer, and forecasting the moving optical object behavior.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com