Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 11, issue 8
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.
https://doi.org/10.5194/gmd-11-3089-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 8
Development and technical paper
 | 
01 Aug 2018
Development and technical paper |  | 01 Aug 2018

Quasi-Newton methods for atmospheric chemistry simulations: implementation in UKCA UM vn10.8

Emre Esentürk, Nathan Luke Abraham, Scott Archer-Nicholls, Christina Mitsakou, Paul Griffiths, Alex Archibald, and John Pyle

Supplement

https://doi.org/10.5194/gmd-11-3089-2018-supplement

Data sets

The Climate Data Guide: SST data: NOAA High-resolution (0.25 x 0.25) Blended Analysis of Daily SST and Ice, OISSTv2 V. Banzon, R. Reynolds, and National Center for Atmospheric Research Staff https://climatedataguide.ucar.edu/climate-data/sst-data-noaa-high-resolution-025x025-blended-analysis-daily-sst-and-ice-oisstv2

Model code and software

Daily high-resolution blended analyses for sea surface temperature R. W. Reynolds, T. M. Smith, C. Liu, D. B. Chelton, K. S. Casey, K. S., and M. G. Schlax https://doi.org/10.1175/2007JCLI1824.1

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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.
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