In recent years, with the rapid development of wind and solar power generation, some
problems arise gradually and are often inherent to intermittency. Currently, one of the …

Accurate wildfire risk estimation is an essential yet challenging task. As the frequency of
extreme fire weather and wildfires is on the rise, forest managers and firefighters require …

Statistical post-processing of systematic errors is required for numerical weather predictions
to obtain accurate and credible forecasts. Traditionally, this is accomplished separately with …

The influence of meteorological conditions on wildfire behaviour and propagation has been
recognised through the development of a variety of fire weather indices, which combine …

The increasing complexity and impacts of fire seasons in the United States have prompted
efforts to improve early warning systems for wildland fire management. Outlooks of potential …

The increase in wildfire risk in the United States in recent decades has been linked to rapid
growth of the wildland‐urban interface and to changing climate. While there have been …

C3S, 2018: ERA5 hourly data on single levels from 1979 to present. Copernicus Climate
Change Service Climate Data Store, accessed 5 May 2021, https://cds. climate. copernicus …

Traditional meteorological downscaling methods face limitations due to the complex
distribution of meteorological variables, which can lead to unstable forecasting results …

An adaptation of the portfolio theory (PT) is proposed in this article, denoted as
PrevPT,“Previsão”(in Portuguese) by PT, to integrate the three artificial neural networks …

The consecutive occurrence of three large wildfires in 1 year is rarely seen in northern
California including the deadliest case during 8–25 November 2018 in Butte County. They …