activity
20182025
most citedA Novel CMAQ-CNN Hybrid Model to Forecast Hourly Surface-Ozone Concentrations Fourteen Days in Advance

83 citations · 157 across the 5 of their papers we have counts for

collaborators

5 papers

physics.ao-ph2025

Air Quality and Greenhouse Gas Emissions Assessment of Data Centers in Texas: Quantifying Impacts and Environmental Tradeoffs

Ebrahim Eslami

This study assesses air quality (AQ) and greenhouse gas (GHG) emissions from the rapid expansion of data centers in Texas, a major hub due to infrastructure, electricity markets, a…

physics.ao-ph2020★ 68 cited

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…

physics.ao-ph2020★ 83 cited

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…

physics.ao-ph2019

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…

physics.geo-ph2018★ 6 cited

Bioremediation of oil and heavy metal contaminated soil in construction sites: a case study of using bioventing-biosparging and phytoextraction techniques

Ebrahim Eslami, Seyedeh Hanie Seyed Joodat

This paper studies the bioremediation techniques utilized for degrading soil pollutants in a construction site located in Iran. The activities in a construction site, located in Ga…