BNNOz - Infilled vertically resolved ozone dataset

Research datakeyboard_double_arrow_right Dataset 27 Oct 2021Publisher:ZenodoFunded by:UKRI | ENVISION: Developing next..., UKRI | Data Science of the Natur...

Authors: Amos, Matt; Sengupta, Ushnish; Hosking, J. Scott; Young, Paul J.;

doi: 10.5281/zenodo.5603750 , 10.5281/zenodo.5603749

BNNOz - Infilled vertically resolved ozone dataset

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Abstract

This vertical ozone dataset is a fusion of an existing ozone dataset (Bodeker Scientific) with chemistry-climate model output from the Chemistry-Climate modelling initiative. The vertically and latitudinally resolved ozone dataset (zmo3_BNNOz.nc) has been produced by fusing the above data within a Bayesian neural network. More information about this processing and the data can be found here. In addition to the output product we include the training dataset of observed and modelled ozone as a python pickled dataframe. The code to use this training dataset can be found here. This data submission supports a manuscript submission to ESSD.

Keywords

Ozone, machine learning, fusing

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