Weather forecast data generated by the NOAA Global Forecasting System (GFS) model,
climate indices, and local meteo-hydrologic observations were used to forecast daily …

The Mann–Kendall non-parametric test for trend is used to explore the trend behaviour of
nine measures of the timing of runoff. The relationship between trends in timing measures …

The evolution of snow depth in the central Spanish Pyrenees was analyzed using
measurements from 106 snow stakes over a period of 14 yr (1985–1999). Relationships …

Data-driven modeling with machine learning (ML) algorithms in hydrologic modeling and
forecasting suffers a number of pitfalls and challenges, including variable selection bias …

Deep learning has emerged as a useful tool across geoscience disciplines; however, there
remain outstanding questions regarding the suitability of unexplored model architectures …

The extreme learning machine (ELM), a single-hidden layer feedforward neural network
algorithm, was tested on nine environmental regression problems. The prediction accuracy …

ABSTRACT In much of North America, variables such as temperature, precipitation,
snowpack and streamflow are modulated by modes of large-scale ocean-atmosphere …

Using wavelets, statistically significant interannual and interdecadal oscillations that
occurred haphazardly have been detected in southwestern (SW) Canadian seasonal …

This chapter introduces British Columbia's weather and climate.“Weather” refers to the
specific condition of the atmosphere at a particular place and time. It is measured in terms of …

Abstract Changes in air temperature and precipitation can modify snowmelt-driven runoff in
snowmelt-dominated regimes. This study focuses on climate change impacts on the snow …