Gregory Roux

Rainfall–runoff modelling using Long Short-Term Memory (LSTM) networks

HESS Opinions: Incubating deep-learning-powered hydrologic science advances as a community

An overview of the MILAGRO 2006 Campaign: Mexico City emissions and their transport and transformation

Elucidating severe urban haze formation in China

Deep belief network based deterministic and probabilistic wind speed forecasting approach

Short-term wind speed prediction model based on GA-ANN improved by VMD

Smart deep learning based wind speed prediction model using wavelet packet decomposition, convolutional neural network and convolutional long short term memory network

Short-term wind speed prediction using an unscented Kalman filter based state-space support vector regression approach

Post-processing techniques and principal component analysis for regional wind power and solar irradiance forecasting

Short-term wind speed forecasting by spectral analysis from long-term observations with missing values

Modeling organic aerosols during MILAGRO: importance of biogenic secondary organic aerosols

Kalman Filter and Analog Schemes to Postprocess Numerical Weather Predictions