Tropospheric Ozone Assessment Report: Assessment of global-scale model performance for global and regional ozone distributions, variability, and trends

PJ Young, V Naik, AM Fiore, A Gaudel, J Guo… - Elem Sci …, 2018 - online.ucpress.edu
The goal of the Tropospheric Ozone Assessment Report (TOAR) is to provide the research
community with an up-to-date scientific assessment of tropospheric ozone, from the surface …

[HTML][HTML] Thermo-kinetic multi-zone modelling of low temperature combustion engines

A Vasudev, M Mikulski, PR Balakrishnan… - Progress in Energy and …, 2022 - Elsevier
Many researchers believe multi-zone (MZ), chemical kinetics–based models are proven,
essential toolchains for development of low-temperature combustion (LTC) engines …

[图书][B] Fundamentals of atmospheric modeling

MZ Jacobson - 1999 - books.google.com
This comprehensive text describes the atmospheric processes, numerical methods, and
computational techniques required for a scientist to successfully study air pollution and …

The kinetic preprocessor KPP-a software environment for solving chemical kinetics

V Damian, A Sandu, M Damian, F Potra… - Computers & Chemical …, 2002 - Elsevier
The kinetic preprocessor (KPP) is a software tool that assists the computer simulation of
chemical kinetic systems. The concentrations of a chemical system evolve in time according …

[HTML][HTML] Application of random forest regression to the calculation of gas-phase chemistry within the GEOS-Chem chemistry model v10

CA Keller, MJ Evans - Geoscientific Model Development, 2019 - gmd.copernicus.org
Atmospheric chemistry models are a central tool to study the impact of chemical constituents
on the environment, vegetation and human health. These models are numerically intense …

Fast airborne aerosol size and chemistry measurements above Mexico City and Central Mexico during the MILAGRO campaign

PF DeCarlo, EJ Dunlea, JR Kimmel… - Atmospheric …, 2008 - acp.copernicus.org
The concentration, size, and composition of non-refractory submicron aerosol (NR-PM 1)
was measured over Mexico City and central Mexico with a High-Resolution Time-of-Flight …

Neural laplace: Learning diverse classes of differential equations in the laplace domain

SI Holt, Z Qian… - … Conference on Machine …, 2022 - proceedings.mlr.press
Abstract Neural Ordinary Differential Equations model dynamical systems with ODEs
learned by neural networks. However, ODEs are fundamentally inadequate to model …

Benchmarking stiff ODE solvers for atmospheric chemistry problems II: Rosenbrock solvers

A Sandu, JG Verwer, JG Blom, EJ Spee… - Atmospheric …, 1997 - Elsevier
In the numerical simulation of atmospheric transport-chemistry processes, a major task is the
integration of the stiff systems of ordinary differential equations describing the chemical …

An analytical Jacobian approach to sparse reaction kinetics for computationally efficient combustion modeling with large reaction mechanisms

F Perini, E Galligani, RD Reitz - Energy & Fuels, 2012 - ACS Publications
This study presents an analytical Jacobian formulation for detailed gas-phase reaction
kinetics, suitable for accurate and computationally efficient combustion simulations using …

A second-order Rosenbrock method applied to photochemical dispersion problems

JG Verwer, EJ Spee, JG Blom, W Hundsdorfer - SIAM journal on scientific …, 1999 - SIAM
A second-order, L-stable Rosenbrock method from the field of stiff ordinary differential
equations is studied for application to atmospheric dispersion problems describing …