High-resolution anthropogenic emission inventories with deep learning in northern South America
Authors:
- Franz Pablo Antezana LopezFranz Pablo Antezana Lopez
- Alejandro CasallasACAlejandro Casallas
- Guanhua ZhouGuanhua Zhou
- Kai ZhangKZKai Zhang
- Guifei JingGJGuifei Jing
- Aamir AliAAAamir Ali
- Ellie Lopez-BarreraELEllie Lopez-Barrera
- Luis Carlos BelalcazarLBLuis Carlos Belalcazar
- Nestor RojasNRNestor Rojas
- Hongzhi JiangHJHongzhi Jiang
- 17 April 2025
- journal article
- Published by Elsevier in Remote Sensing of Environment
- Vol. 324
Abstract
No abstract availableFunding Information
- Horizon 2020
- National Natural Science Foundation of China (42471425)
- H2020 Marie Skłodowska-Curie Actions (101034413)
- Abdus Salam International Centre for Theoretical Physics
- Middle Tennessee State University - College of Basic and Applied Sciences
This publication has 63 references indexed in Scilit:
- Surface, satellite ozone variations in Northern South America during low anthropogenic emission conditions: a machine learning approachAir Quality, Atmosphere & Health, 2023
- A support vector machine model to forecast ground-level PM2.5 in a highly populated city with a complex terrainAir Quality, Atmosphere & Health, 2020
- Validation of PM10 and PM2.5 early alert in Bogotá, Colombia, through the modeling software WRF-CHEMEnvironmental Science and Pollution Research, 2020
- A comprehensive study on gas and particle emissions from laser printers: Chemical composition and health risk assessmentAtmospheric Pollution Research, 2020
- High-resolution air quality modeling in a medium-sized city in the tropical Andes: Assessment of local and global emissions in understanding ozone and PM10 dynamicsAtmospheric Pollution Research, 2018
- Volatility of methylglyoxal cloud SOA formed through OH radical oxidation and droplet evaporationAtmospheric Environment, 2016
- WRF-Chem model sensitivity to chemical mechanisms choice in reconstructing aerosol optical propertiesAtmospheric Environment, 2015
- Optimizing emission inventory for chemical transport models by using genetic algorithmAtmospheric Environment, 2010
- An Improved Mellor–Yamada Level-3 Model: Its Numerical Stability and Application to a Regional Prediction of Advection FogBoundary-Layer Meteorology, 2006
- Fully coupled “online” chemistry within the WRF modelAtmospheric Environment, 2005