Articles | Volume 11, issue 8
https://doi.org/10.5194/gmd-11-3089-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-11-3089-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
01 Aug 2018
Development and technical paper |
| 01 Aug 2018
| 01 Aug 2018
Quasi-Newton methods for atmospheric chemistry simulations: implementation in UKCA UM vn10.8
Emre Esentürk
CORRESPONDING AUTHOR
Department of Chemistry, University of Cambridge, Cambridge,
UK
Mathematics Institute, University of Warwick, Coventry, UK
Nathan Luke Abraham
Department of Chemistry, University of Cambridge, Cambridge,
UK
National Centre for Atmospheric Science, Cambridge, UK
Scott Archer-Nicholls
Department of Chemistry, University of Cambridge, Cambridge,
UK
Christina Mitsakou
Department of Chemistry, University of Cambridge, Cambridge,
UK
currently at: the Centre for Radiation, Chemical Environments and
Hazards, Public Health England, Chilton, UK
Paul Griffiths
Department of Chemistry, University of Cambridge, Cambridge,
UK
National Centre for Atmospheric Science, Cambridge, UK
Alex Archibald
Department of Chemistry, University of Cambridge, Cambridge,
UK
National Centre for Atmospheric Science, Cambridge, UK
John Pyle
Department of Chemistry, University of Cambridge, Cambridge,
UK
National Centre for Atmospheric Science, Cambridge, UK
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Cited
10 citations as recorded by crossref.
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- An improved version of the piecewise parabolic method advection scheme: description and performance assessment in a bidimensional test case with stiff chemistry in toyCTM v1.0.1 S. Mailler et al. 10.5194/gmd-16-7509-2023
- Impacts of Transition Approach of Water Vapor-Related Microphysical Processes on Quantitative Precipitation Forecasting Z. Ma et al. 10.3390/atmos13071133
- Using machine learning to build temperature-based ozone parameterizations for climate sensitivity simulations P. Nowack et al. 10.1088/1748-9326/aae2be
- Description and evaluation of the UKCA stratosphere–troposphere chemistry scheme (StratTrop vn 1.0) implemented in UKESM1 A. Archibald et al. 10.5194/gmd-13-1223-2020
- Rapid Adaptive Optimization Model for Atmospheric Chemistry (ROMAC) v1.0 J. Li et al. 10.5194/gmd-16-6049-2023
- Using a virtual machine environment for developing, testing, and training for the UM-UKCA composition-climate model, using Unified Model version 10.9 and above N. Abraham et al. 10.5194/gmd-11-3647-2018
- Chemistry module for the Earth system model S. Smyshlyaev et al. 10.1515/rnam-2024-0030
- Improvements to stratospheric chemistry scheme in the UM-UKCA (v10.7) model: solar cycle and heterogeneous reactions F. Dennison et al. 10.5194/gmd-12-1227-2019
- The Common Representative Intermediates Mechanism Version 2 in the United Kingdom Chemistry and Aerosols Model S. Archer‐Nicholls et al. 10.1029/2020MS002420
9 citations as recorded by crossref.
- Assessing and improving cloud-height-based parameterisations of global lightning flash rate, and their impact on lightning-produced NO<sub><i>x</i></sub> and tropospheric composition in a chemistry–climate model A. Luhar et al. 10.5194/acp-21-7053-2021
- An improved version of the piecewise parabolic method advection scheme: description and performance assessment in a bidimensional test case with stiff chemistry in toyCTM v1.0.1 S. Mailler et al. 10.5194/gmd-16-7509-2023
- Impacts of Transition Approach of Water Vapor-Related Microphysical Processes on Quantitative Precipitation Forecasting Z. Ma et al. 10.3390/atmos13071133
- Using machine learning to build temperature-based ozone parameterizations for climate sensitivity simulations P. Nowack et al. 10.1088/1748-9326/aae2be
- Description and evaluation of the UKCA stratosphere–troposphere chemistry scheme (StratTrop vn 1.0) implemented in UKESM1 A. Archibald et al. 10.5194/gmd-13-1223-2020
- Rapid Adaptive Optimization Model for Atmospheric Chemistry (ROMAC) v1.0 J. Li et al. 10.5194/gmd-16-6049-2023
- Using a virtual machine environment for developing, testing, and training for the UM-UKCA composition-climate model, using Unified Model version 10.9 and above N. Abraham et al. 10.5194/gmd-11-3647-2018
- Chemistry module for the Earth system model S. Smyshlyaev et al. 10.1515/rnam-2024-0030
- Improvements to stratospheric chemistry scheme in the UM-UKCA (v10.7) model: solar cycle and heterogeneous reactions F. Dennison et al. 10.5194/gmd-12-1227-2019
Latest update: 14 Dec 2024
Short summary
An integral and expensive part of coupled climate model simulations is the gas-phase chemistry which gives rise to hundreds of coupled differential equations. We propose a method which improves the convergence and robustness properties of commonly used Newton–Raphson solvers. The method is flexible and can be appended to most algorithms. The approach can be useful for a broader community of computational scientists whose interests lie in solving systems with intensive interactive chemistry.
An integral and expensive part of coupled climate model simulations is the gas-phase chemistry...
