activity
20192024
most citedA Novel CMAQ-CNN Hybrid Model to Forecast Hourly Surface-Ozone Concentrations Fourteen Days in Advance

83 citations · 151 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SI2024

Estimating Disaster Resilience of Hurricane Helene on Florida Counties

Reetwika Basu, Siddharth Chaudhary, Chinmay Deval +3

This paper presents a rapid approach to assessing disaster resilience in Florida, particularly regarding Hurricane Helene (2024). This category four storm made landfall on Florida'…

econ.GN2024

Serving economic prosperity: economic impact assessments (EIA) on Earth observation-based services and tools by SERVIR

Reetwika Basu, Eric Anderson, Chinmay Deval +6

In an era where informed decision-making is paramount for sustainable development and effective resource management, the role of Earth observations (EO) in shaping economic landsca…

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…