22 citations · 56 across the 8 of their papers we have counts for
10 papers
Wildfire risk forecast: An optimizable fire danger index
Eduardo Rodrigues, Bianca Zadrozny, Campbell Watson
Wildfire events have caused severe losses in many places around the world and are expected to increase with climate change. Throughout the years many technologies have been develop…
Controlling Weather Field Synthesis Using Variational Autoencoders
Dario Augusto Borges Oliveira, Jorge Guevara Diaz, Bianca Zadrozny +1
One of the consequences of climate change is anobserved increase in the frequency of extreme cli-mate events. That poses a challenge for weatherforecast and generation algorithms,…
A comparative study of stochastic and deep generative models for multisite precipitation synthesis
Jorge Guevara, Dario Borges, Campbell Watson +1
Future climate change scenarios are usually hypothesized using simulations from weather generators. However, there only a few works comparing and evaluating promising deep learning…
Extreme Precipitation Seasonal Forecast Using a Transformer Neural Network
Daniel Salles Civitarese, Daniela Szwarcman, Bianca Zadrozny +1
An impact of climate change is the increase in frequency and intensity of extreme precipitation events. However, confidently predicting the likelihood of extreme precipitation at s…
Decadal Forecasts with ResDMD: a Residual DMD Neural Network
Eduardo Rodrigues, Bianca Zadrozny, Campbell Watson +1
Operational forecasting centers are investing in decadal (1-10 year) forecast systems to support long-term decision making for a more climate-resilient society. One method that has…
Geostatistical Learning: Challenges and Opportunities
Júlio Hoffimann, Maciel Zortea, Breno de Carvalho +1
Statistical learning theory provides the foundation to applied machine learning, and its various successful applications in computer vision, natural language processing and other s…