Good scientific practice includes the visualisation and user-friendly exploration of scientific data. However, increasing data complexity and volumes are a result of higher temporal and spatial resolutions of modelling and remote sensing approaches. Earth system science data is becoming increasingly important for decision support for stakeholders and other users. This poses major challenges for the entire process chain, from data storage to web-based visualisation. For example: (1) data must be enriched with metadata and made available via appropriate and efficient services; (2) visualisation and exploration tools must access decentralised tools via interfaces that are as standardised as possible; (3) the presentation of essential information must be coordinated with potential end users. This challenge is reflected by the development of tools, interfaces and libraries for modern earth system science data visualisation and exploration.
In this session, we aim to establish a transdisciplinary community of scientists, software-developers and other experts in the field of data visualization in order to give a state-of-the-art overview of tools, interfaces and best-practices. In particular, we look for contributions in the following fields:
- Developments of open source visualization and exploration techniques for earth system science data
- Co-designed visualization solutions enabling transdisciplinary research and decision support for non-scientific stakeholders and end-users
- Tools and best-practices for visualizing complex, high-dimensional and high frequency data
- Services and interfaces for the distribution and presentation of metadata enriched earth system science data
- Data visualization and exploration solutions for decentralized research data infrastructures
All contributions should emphasize the usage of community-driven interfaces and open source solutions and finally contribute to the FAIRification of products from earth system sciences.