Simulation model of Reactive Nitrogen Species in an Urban Atmosphere using a Deep Neural Network: RNDv1.0
<p>Nitrous acid (HONO) plays an important role in the formation of ozone and fine aerosols in the urban atmosphere. In this study, a new simulation approach is presented to calculate the HONO mixing ratios using a deep neural technique based on measured variables. The Reactive Nitrogen Species...
Main Authors: | J. Gil, M. Lee, J. Kim, G. Lee, J. Ahn, C.-H. Kim |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2023-09-01
|
Series: | Geoscientific Model Development |
Online Access: | https://gmd.copernicus.org/articles/16/5251/2023/gmd-16-5251-2023.pdf |
Similar Items
-
Targeting cancer cells with reactive oxygen and nitrogen species generated by atmospheric-pressure air plasma.
by: Hak Jun Ahn, et al.
Published: (2014-01-01) -
Identification of Optimal Insertion Site in Recombinant Newcastle Disease Virus (rNDV) Vector Expressing Foreign Gene to Enhance Its Anti-Tumor Effect.
by: Ziye Pan, et al.
Published: (2016-01-01) -
Versatile kernel reactivation for deep convolutional neural networks
by: Jeong Jun Lee, et al.
Published: (2022-09-01) -
Reactive nitrogen in atmospheric emission inventories
by: S. Reis, et al.
Published: (2009-10-01) -
Governing processes for reactive nitrogen compounds in the European atmosphere
by: O. Hertel, et al.
Published: (2012-12-01)