83 citations · 156 across the 4 of their papers we have counts for
4 papers
Spatiotemporal Estimation of TROPOMI NO2 Column with Depthwise Partial Convolutional Neural Network
Yannic Lops, Masoud Ghahremanloo, Arman Pouyaei +5
Satellite-derived measurements are negatively impacted by cloud cover and surface reflectivity. These biases must be discarded and significantly increase the amount of missing data…
A Deep Convolutional Neural Network Model for improving WRF Forecasts
Alqamah Sayeed, Yunsoo Choi, Jia Jung +3
Advancements in numerical weather prediction models have accelerated, fostering a more comprehensive understanding of physical phenomena pertaining to the dynamics of weather and r…
A Novel CMAQ-CNN Hybrid Model to Forecast Hourly Surface-Ozone Concentrations Fourteen Days in Advance
Alqamah Sayeed, Yunsoo Choi, Ebrahim Eslami +3
Issues regarding air quality and related health concerns have prompted this study, which develops an accurate and computationally fast, efficient hybrid modeling system that combin…
A real-time hourly ozone prediction system using deep convolutional neural network
Ebrahim Eslami, Yunsoo Choi, Yannic Lops +1
This study uses a deep learning approach to forecast ozone concentrations over Seoul, South Korea for 2017. We employ a deep convolutional neural network (CNN). We apply this metho…