4 papers
Forecasting Extreme Day and Night Heat in Paris: A Proof of Concept
Richard Berk
As a form of "small A", quantile machine learning is used to forecast diurnal and nocturnal air temperatures for Paris, France from late spring through the summer months o…
Forecasting Extreme High Summer Temperatures in Paris and Cairo Using Gradient Boosting and Conformal Prediction Regions
Richard A. Berk
In this paper, gradient boosting is used to forecast the Q(.95) values of air temperature and the Steadman Heat Index. Paris, France during late the spring and summer months is the…
Forecasting Extreme Temperatures in Siberia Using Supervised Learning and Conformal Prediction Regions
Richard A. Berk, Amy Braverman
In this paper, we step back from a variety of competing heat wave definitions and forecast directly unusually high temperatures. Our testbed is the Russian Far East in the summers…
Algorithmic Forecasting of Extreme Heat Waves
Richard A. Berk, Amy Braverman, Arun Kumar Kuchibhotla
This paper provides some foundations for valid forecasting of rare and extreme heat waves through a better understanding of the similarities and differences between several consecu…