Please note that this session was withdrawn and is no longer available in the respective programme. This withdrawal might have been the result of a merge with another session.

HS1.2.8 | PICO

Hydrology is dealing with an increasing amount of data and data types. Large sample sizes, big data, and multidimensional data sets are more and more common due to higher spatial and temporal data resolution and new data sources such as social media or citizen science. A visualization is an essential tool for researchers to interpret their data, to understand patterns, trends, and uncertainty and to draw conclusions and implications from their research. At the same time, it is challenging to communicate complex datasets and findings in an appropriate way to other researchers and the public. This PICO session offers researchers the chance to present challenges and solutions in data visualization that have led to advances in the field of hydrology. We specifically invite abstracts that present:

• Visualizations that have helped to draw new conclusions from the data,
• Visualizations beyond the limitations of print-media (interactive plots, virtual reality),
• Visualizations for new types of data (big data, social media, citizen science),
• Visualization types that are common/typical in other environmental disciplines that could be transferred to hydrology,
• Visualizations that improve communication and stimulate feedback from the audience (policy, public, colleagues).

Ideally, visualization ideas presented are transferable (not too specific) and accessible (open access software). We encourage presentations that show innovative approaches and visionary visualizations that help to make the hydrological sciences better and improve communication beyond the scientific community.
This session is organized in cooperation with the Young Hydrologic Society (youngHS.com).

Confirmed invited speaker: W. Buytaert

Share:
Co-organized as EOS8.1/GM2.16
Convener: Lina Stein | Co-conveners: Jan Seibert, Michael Stoelzle, Sebastian Gnann
Hydrology is dealing with an increasing amount of data and data types. Large sample sizes, big data, and multidimensional data sets are more and more common due to higher spatial and temporal data resolution and new data sources such as social media or citizen science. A visualization is an essential tool for researchers to interpret their data, to understand patterns, trends, and uncertainty and to draw conclusions and implications from their research. At the same time, it is challenging to communicate complex datasets and findings in an appropriate way to other researchers and the public. This PICO session offers researchers the chance to present challenges and solutions in data visualization that have led to advances in the field of hydrology. We specifically invite abstracts that present:

• Visualizations that have helped to draw new conclusions from the data,
• Visualizations beyond the limitations of print-media (interactive plots, virtual reality),
• Visualizations for new types of data (big data, social media, citizen science),
• Visualization types that are common/typical in other environmental disciplines that could be transferred to hydrology,
• Visualizations that improve communication and stimulate feedback from the audience (policy, public, colleagues).

Ideally, visualization ideas presented are transferable (not too specific) and accessible (open access software). We encourage presentations that show innovative approaches and visionary visualizations that help to make the hydrological sciences better and improve communication beyond the scientific community.
This session is organized in cooperation with the Young Hydrologic Society (youngHS.com).

Confirmed invited speaker: W. Buytaert