O3as

The O3as service provides tools to extract essential information on ozone trends from large climate prediction model data and allows the production of scientifically valuable figures coherently.

7
mentions
9
contributors

What O3as can do for you

O3as is a KIT-based service using Chemistry-Climate Model Initiative (CCMI) data to support the quadrennial assessment (as) of ozone (O3) depletion that is conducted under the auspices of the World Meteorological Organization (WMO) and the United Nations Environment Programme (UNEP) to protect the stratospheric ozone layer. The service provides tools to extract essential information on ozone trends from climate prediction model data produced in CCMI and allows the production of coherent scientific facts and figures regarding past and future ozone trends.

O3as effectively addresses several challenges faced by climate scientists, including the simplification of data processing, which often requires a lot of manual effort, as well as the issue of custom code accessibility, impacting result reproducibility. By simplifying data access and usage, ensuring result reproducibility, and enabling assessment by non-specialists, O3as significantly enhances ozone research and analysis capabilities.

Monitoring and projecting stratospheric ozone is mandated by the UN Environment to safeguard a healthy planet. Numerous climate models regularly project future climate and ozone changes, producing vast amounts of data that require analysis for key metrics. These key metrics are essential for policymakers to evaluate the effectiveness of measures implemented to protect the stratospheric ozone layer. O3as fills a crucial gap by providing a framework for efficiently exploring ozone projections and calculating key metrics.

The service consists of three main components:

  • o3skim : to prepare data and reduce it to the parameters of interest
  • o3api : to execute quick analysis and provide REST API access
  • o3webapp: user friendly web interface for data selection and visualization

Published and relevant datasets:

Participating organisations

Karlsruhe Institute of Technology (KIT)

Mentions

Contributors

BES
Borja Esteban Sanchis
TK
Tobias Kerzenmacher
VK
Valentin Kozlov
Furkan Çevik
Karlsruhe Institute of Technology
TM
Thomas Marwitz
Karlsruhe Institute of Technology
NP
Nikolai Prjanikov
Karlsruhe Institute of Technology
SvR
Simon von Rönn
Karlsruhe Institute of Technology
JZ
Jana Zeller
Karlsruhe Institute of Technology
CL
Christophe Laures
Karlsruhe Institute of Technology