Large-sample studies lead to generalizable insights about hydrologic similarity, understanding of dominant hydrologic processes and modelling capabilities. Studies that investigate the organization and response of single catchments (e.g. well-monitored experimental catchments, innovative process models) can provide a testing ground for hydrologic theories that can scaled up to larger samples. Combining detailed local knowledge with large data samples can provide insights unavailable to either approach alone, about e.g. hydrologic organization across large spatial scales or across varied hydroclimatic conditions.
This session provides the opportunity for researchers to highlight recent data and model-based efforts on catchment organization, diversity and response. We specifically encourage studies that seek to advance understanding of the following topics:
1. Data mobilization for hydrologic similarity and regionalization:
Can currently available global datasets of hydrologically relevant information (e.g. soil properties, land use, soil moisture estimates, meteorological re-analysis) effectively be used to define hydrologic similarity and thus improve the prediction in ungauged or scarcely gauged basins?
2. Testing of hydrologic theories:
To what extent can hydrologic theory developed in well-monitored experimental catchments be transferred to larger samples of relatively data-scarce catchments?
3. Modelling capabilities:
What can large sample hydrology reveal about the strengths and weaknesses of current modelling capabilities and how can large sample approaches be used to improve and constrain modelling efforts?
4. Explaining water use dynamics:
How can we use large sample hydrology to better understand water resource use, allocation and future availability, and inform sustainable management of these resources?
5. Development and improvement of large-sample data sets:
How can we overcome current challenges on unequal geographical representation of catchments, quantification of uncertainty, catchment heterogeneity and inclusion of human interaction with the global water cycle?
A splinter meeting is planned to discuss development and improvement of large-sample data sets, titled “Large sample hydrology: facilitating the production and exchange of data sets worldwide”. See the final program for location and timing.
The session and splinter meeting are organized as part of the Panta Rhei Working Group on large-sample hydrology.
Activation of the text chat sets a cookie in your browser that is automatically deleted at the end of the conference.
The message "" (#) has been sent by nickname (#)
Mute the user:
Unmute the user:
Ban the user for 5 hours:
Unban the user:
An attendee might be able to create a new nickname and re-enter this chat. In case you have any questions or need further assistance please contact us at: email@example.com.
Handshake – who is here?
Nickname already in use
Nickname to be defined
How to access HS2.5.3
HS2.5.3 runs as a Zoom Webinar. The live session page on EGU21 allows you to:
- Enter the Zoom Webinar in a new browser tab through the button Access live video chat;
- Watch the livestream from the Zoom Webinar, if you prefer not to enter Zoom;
- Chat with colleagues being also on this live session page;
- Use the handshake to connect to colleagues being present in this session.
How to access HS2.5.3
Session HS2.5.3 runs as a vPICO session. Everybody, conveners/chair/speakers as well as attendees, join the live session page on EGU21. While attendees stay on this live session page and see the live presentations via stream, you as convener/chair/speaker are required to enter the BigBlueButton (BBB) live video chat to give your presentation.
Please keep the live session page open on this browser tab and join the BBB video chat in parallel on another browser tab through the button below. Your personal breakout text chat following the live presentations are linked from the live session page tab, not from the additional BBB video chat tab.Enter BBB video chat