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@yanchenzheng

Senior Research Associate at University of Bristol. Working on catchment hydrology, large-sample hydrology and hydrological modelling.

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10.11.2025
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Latest posts by @yanchenzheng

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Are you willing to attend #EGU26 ?
Please consider this new session:
HS 2.3.1 Water quality analysis across large samples and scales
πŸ“ Vienna & online | πŸ—“ 3–8 May 2026
🎀 Keynote: Elizabeth Boyer (Penn State)
⏰ Abstract deadline: 15 Jan 2026, 13:00 CET
πŸ”— www.egu26.eu/session/55905

08.01.2026 10:52 πŸ‘ 3 πŸ” 1 πŸ’¬ 0 πŸ“Œ 0

Still have time to submit your abstract to our EGU 2026 large-sample water quality session!
Deadline 15th January.

06.01.2026 21:17 πŸ‘ 1 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0
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Are you working with large-sample water quality data?

If so, we warmly invite you to submit an abstract to our session at #EGU26

www.egu26.eu/session/55905

We are delighted to welcome Elizabeth Boyer (Penn State University) as our keynote speaker.

We look forward to receiving your contributions!

10.12.2025 11:55 πŸ‘ 3 πŸ” 0 πŸ’¬ 0 πŸ“Œ 1
Preview
DECIPHeR-GW v1: a coupled hydrological model with improved representation of surface–groundwater interactions Abstract. Groundwater is a crucial part of the hydrologic cycle and the largest accessible freshwater source for humans and ecosystems. However, most hydrological models lack explicit representation o...

New paper alert :)
"DECIPHeR-GW v1: a coupled hydrological model with improved representation of surface–groundwater interactions"
A University of Bristol team led by Dr Yanchen Zheng
doi.org/10.5194/gmd-...

(seems like it's my month for groundwater modelling papers)

24.07.2025 10:28 πŸ‘ 8 πŸ” 1 πŸ’¬ 0 πŸ“Œ 0

Still some time to apply for a PhD position in my group @ufz.de in my group with the focus on streams, hydrometric and isotopic signatures and ML: recruitingapp-5128.de.umantis.com/Vacancies/32... Looking forward for your applications 🀩

14.11.2025 15:34 πŸ‘ 5 πŸ” 5 πŸ’¬ 0 πŸ“Œ 0
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Submit your abstract to our #EGU26 large-sample water quality session! We welcome studies on water quality dataset development, using statistical and machine learning methods to uncover spatial-temporal patterns and drivers under environment change! meetingorganizer.copernicus.org/EGU26/sessio...

14.11.2025 22:40 πŸ‘ 5 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0