Articles | Volume 18, issue 1
https://doi.org/10.5194/gmd-18-181-2025
https://doi.org/10.5194/gmd-18-181-2025
Methods for assessment of models
 | 
16 Jan 2025
Methods for assessment of models |  | 16 Jan 2025

Virtual Integration of Satellite and In-situ Observation Networks (VISION) v1.0: In-Situ Observations Simulator (ISO_simulator)

Maria R. Russo, Sadie L. Bartholomew, David Hassell, Alex M. Mason, Erica Neininger, A. James Perman, David A. J. Sproson, Duncan Watson-Parris, and Nathan Luke Abraham

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Cited articles

Abraham, N. L. and Russo, M. R.: UKESM1 hourly modelled ozone for comparison to observations. NERC EDS Centre for Environmental Data Analysis [data set], https://catalogue.ceda.ac.uk/uuid/300046500aeb4af080337ff86ae8e776, last access: April 2024. 
Anderson, D. C., Duncan, B. N., Fiore, A. M., Baublitz, C. B., Follette-Cook, M. B., Nicely, J. M., and Wolfe, G. M.: Spatial and temporal variability in the hydroxyl (OH) radical: understanding the role of large-scale climate features and their influence on OH through its dynamical and photochemical drivers, Atmos. Chem. Phys., 21, 6481–6508, https://doi.org/10.5194/acp-21-6481-2021, 2021. 
Archibald, A. T., Sinha, B., Russo, M., Matthews, E., Squires, F., Abraham, N. L., Bauguitte, S., Bannan, T., Bell, T., Berry, D., Carpenter, L., Coe, H., Coward, A., Edwards, P., Feltham, D., Heard, D., Hopkins, J., Keeble, J., Kent, E. C., King, B., Lawrence, I. R., Lee, J., Macintosh, C. R., Megann, A., Moat, B. I., Read, K., Reed, C., Roberts, M., Schiemann, R., Schroeder, D., Smyth, T., Temple, L., Thamban, N., Whalley, L., Williams, S., Wu, H., and Yang, M.-X.: Data supporting the North Atlantic Climate System: Integrated Studies (ACSIS) programme, including atmospheric composition, oceanographic and sea ice observations (2016–2022) and output from ocean, atmosphere, land and sea-ice models (1950–2050), Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2023-405, in review, 2024. 
Carpenter, L. J., Hopkins, J. R., Lewis, A. C., Neves, L. M., Moller, S., Pilling, M. J., Read, K. A., Young, T. D., and Lee, J. D.: Continuous Cape Verde Atmospheric Observatory Observations [data set], https://catalogue.ceda.ac.uk/uuid/81693aad69409100b1b9a247b9ae75d5, last access: April 2024. 
Facility for Airborne Atmospheric Measurements, National Centre for Atmospheric Science, UK, Russo, M., and Abraham, N. L.: VISION: Collated subset of FAAM ozone data 2010 to 2020, NERC EDS Centre for Environmental Data Analysis [data set], https://catalogue.ceda.ac.uk/uuid/8df2e81dbfc2499983aa87781fb3fd5a/ (last access: April 2024), 2024. 
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Short summary
Observational data and modelling capabilities have expanded in recent years, but there are still barriers preventing these two data sources from being used in synergy. Proper comparison requires generating, storing, and handling a large amount of data. This work describes the first step in the development of a new set of software tools, the VISION toolkit, which can enable the easy and efficient integration of observational and model data required for model evaluation.

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