Sentence examples for fire models from inspiring English sources

Fire models are driven by climate norms from 16 GCMs (A2 emissions scenario) to assess the magnitude and direction of change over two time periods, 2010 2039 and 2070 2099.

We used new satellite records of fire incidence to create fire models which we then drove with a broad range of future climate model scenarios to get a sense of where the climate projections agreed on the sign of the change in fire frequency and where they did not.

New ereader Kindles are expected alongside new Fire models.

For complex fire models, this approach may be computationally intractable.

We focus here on "integrate and fire models", where dynamics always consists of two regimes.

The new models are considerably thinner than the original Fire models.

These are called integrate-and-fire models [18, 19] and will not be addressed here.

The paper by Iolov, Ditlevsen, and Longtin focuses on the analysis of sinusoidal noisy leaky integrate-and-fire models.

Analysis of sinusoidal noisy leaky integrate-and-fire models and comparison with experimental data are important to understand the neural code and neural synchronization and rhythms.

LIFL neuron model allows to encode more information than the common Integrate-and-Fire models, typically considered for neuromorphic implementations.

Findings in this study indicate that more sophisticated parameterization schemes of fire severity and post-fire vegetation recovery are needed for the vegetation-fire models to better simulate the terrestrial carbon cycling and climate-ecosystem feedbacks.