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Releases: tsherwen/AC_tools

v0.1.3

06 Aug 15:25
1b7b1c8
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v0.1.3 Pre-release
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AC_tools archive prior to submission of updated manuscript:

Ozone production and precursor emission from wildfires in Africa, James D. Lee, Freya A. Squires, Tomás Sherwen et al. 2021

v0.1.2

25 May 13:28
1d198f9
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v0.1.2 Pre-release
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AC_tools archive prior to submission of updated "halogens (Cl, Br, I) in GEOS-Chem (v12.9) paper".

Global tropospheric halogen (Cl, Br, I) chemistry and its impact on oxidants, Xuan Wang, Daniel J. Jacob, William Downs, Shuting Zhai, Lei Zhu, Viral Shah, Christopher D. Holmes, Tomás Sherwen, Becky Alexander, Mathew J. Evans, Sebastian D. Eastham, J. Andrew Neuman, Patrick Veres, Theodore K Koenig, Rainer Volkamer, L. Gregory Huey, Thomas J. Bannan, Carl J. Percival, Ben H. Lee, and Joel A. Thornton, ACPD, 2021

v0.1.1

06 Nov 15:41
b34b252
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v0.1.1 Pre-release
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Release following:

  • Updates to use NetCDF output, which is now as standard in GEOS-Chem from version 12
  • Updates to modules structure and installing approach
  • Updates to species class
  • Removal of redundant monthly_run submodule
  • General housekeeping (inc. removal of more obsolete code and light enforcement of PEP8)

AC_tools v0.1.0

24 Jul 09:33
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AC_tools v0.1.0 Pre-release
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Code used for preparing a response to reviewers for Sherwen et al [2019].

Sherwen, T., Chance, R. J., Tinel, L., Ellis, D., Evans, M. J., and Carpenter, L. J.: A machine learning based global sea-surface iodide distribution, Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-40, in review, 2019.

Initial code

05 Mar 13:33
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Initial code Pre-release
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The initial preliminary release of AC_tools.

This version was used in the preparation of various publications. Including the pre-review machine learning iodide dataset referenced below.

Sherwen, T.; Chance, R.J.; Tinel, L.; Ellis, D.; Evans, M.J.; Carpenter, L.J. (2019): Global predicted sea-surface iodide concentrations v0.0.0. Centre for Environmental Data Analysis, 08 February 2019. doi:10.5285/02c6f4eea9914e5c8a8390dd09e5709a. http://dx.doi.org/10.5285/02c6f4eea9914e5c8a8390dd09e5709a