sparse2spatial v.0.1.1 - Predictions for iodide, CH2Br2 and CHBr3

The update follows the acceptance and proofing of the paper linked below.

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, https://doi.org/10.5194/essd-2019-40, 1-40, 2019.

Release following machine learning iodide paper reviewer comments

Code following updates made after reviewer comments in ESSDD.

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 release of code for preparing sea-surface iodide obs. file

This release follows updates to the code used for processing iodide sea-surface observations. Scripts have been added to enable incorporating new data (as it becomes available) into the dataset archived with British Oceanographic Data Centre (BODC). These updates were made following comments from peer-review of the observational iodide sea-surface dataset's data descriptor manuscript.

Only the code associated with preparing the current observational dataset and adding new observations should be considered production-ready. This is still subject to change based on editoral decisions following responses to reviewers. This repository also contains code under development for other subsequent projects, such as using the observational sea-surface iodide data for predicted a spatially and temporally resolved global dataset. Please use later releases if these are available.

Reference for archived data: Chance R.; Tinel L.; Sherwen T.; Baker A.; Bell T.; Brindle J.; Campos M.L.A.M.; Croot P.; Ducklow H.; He P.; Hoogakker B.; Hopkins F.E.; Hughes C.; Jickells T.; Loades D.; Reyes Macaya D.A.; Mahajan A.S.; Malin G.; Phillips D.P.; Sinha A.K.; Sarkar A.; Roberts I.J.; Roy R.; Song X.; Winklebauer H.A.; Wuttig K.; Yang M.; Zhou P.; Carpenter L.J.(2019). Global sea-surface iodide observations, 1967-2018. British Oceanographic Data Centre - Natural Environment Research Council, UK. doi:10/czhx.

Initial version on public github

The initial public push of the sparse2spatial code.

This version is derived from that used for the preparation of the below publication/data, both of which are currently in review. The code itself is should be considered an alpha release at this point. Housekeeping (e.g. documentation/nomenclature) and testing are ongoing.

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

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.