Gregory Roux
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View article: Diagnosing Wet Bulb Globe Temperature From Numerical Weather Prediction Model Output Using Empirical, Physics Based, and Machine Learning Methods
Diagnosing Wet Bulb Globe Temperature From Numerical Weather Prediction Model Output Using Empirical, Physics Based, and Machine Learning Methods Open
The wet bulb globe temperature (WBGT) is a linear combination of the natural wet bulb temperature (NWBT), the black globe temperature (BGT), and the dry bulb temperature (DBT). WBGT is used as a criterion for heat stress advisories by the …
View article: Evaluation of WRF-Chem-RTFDDA dust forecasts over the MENA region using in-situ and remote-sensing observations
Evaluation of WRF-Chem-RTFDDA dust forecasts over the MENA region using in-situ and remote-sensing observations Open
We employed the combined WRF-Chem-RTFDDA model to forecast dust storms in the Middle East and North Africa (MENA). WRF-Chem simulates the emission, transport, mixing, and chemical transformation of trace gases and aerosols simultaneously w…
View article: Wind Speed Forecasts of a Mesoscale Ensemble for Large-Scale Wind Farms in Northern China: Downscaling Effect of Global Model Forecasts
Wind Speed Forecasts of a Mesoscale Ensemble for Large-Scale Wind Farms in Northern China: Downscaling Effect of Global Model Forecasts Open
To facilitate wind power integration for the electric power grid operated by the Inner Mongolia Electric Power Corporation—a major electric power grid in China—a high-resolution (of 2.7 km grid intervals) mesoscale ensemble prediction syst…
View article: Evaluations of WRF Sensitivities in Surface Simulations with an Ensemble Prediction System
Evaluations of WRF Sensitivities in Surface Simulations with an Ensemble Prediction System Open
This paper investigates the sensitivities of the Weather Research and Forecasting (WRF) model simulations to different parameterization schemes (atmospheric boundary layer, microphysics, cumulus, longwave and shortwave radiations and other…
View article: Impact of four‐dimensional data assimilation (<scp>FDDA</scp>) on urban climate analysis
Impact of four‐dimensional data assimilation (<span>FDDA</span>) on urban climate analysis Open
This study investigates the impact of four‐dimensional data assimilation (FDDA) on urban climate analysis, which employs the NCAR (National Center for Atmospheric Research) WRF (the weather research and forecasting model) based on climate …
View article: A new approach to testing forecast predictive accuracy
A new approach to testing forecast predictive accuracy Open
The Diebold–Mariano test for predictive accuracy has been used widely and adapted for economic forecasts, but has not seen much activity in weather forecast verification. The technique is applied to both simulated verification sets as well…