Hsing-Jui (Daniel) Wang (@hsjwang) profile picture

Hsing-Jui (Daniel) Wang

@hsjwang

Hydrologist / Space-time dynamics / Extreme events / River networks / Statistics / Python / Matlab / Christian beliefs

 Halle (Saale), Germany
google.com/url?sa=t&source=web&rct=j&url=https://www.ufz.de/index.php%3Fen%3D49517&ved=2
Joined May 2023
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Photo by Hsing-Jui (Daniel) Wang (@hsjwang)Photo by Hsing-Jui (Daniel) Wang (@hsjwang)Photo by Hsing-Jui (Daniel) Wang (@hsjwang)
I’ll be giving an online talk at the Future Earth Taipei forum from 8 - 9 am CET on Monday. I invite you to join me for some brainstorming and exciting discussions. Looking forward to seeing you there! #ExtremeFloods
Image from Hsing-Jui (Daniel) Wang (@hsjwang)
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Amazing week in AGU23! Inspiring+rich+connections #presentation H22G-04 Exploring Spatial and Seasonal Patterns of Heavy-Tailed Flood... #Connections UFZ (Germany), Padova University (Italy), National Taiwan University (Taiwan), PNNL (USA), GFDL (USA) #BrothersFellowship
Image from Hsing-Jui (Daniel) Wang (@hsjwang)
Image from Hsing-Jui (Daniel) Wang (@hsjwang)
Image from Hsing-Jui (Daniel) Wang (@hsjwang)
Image from Hsing-Jui (Daniel) Wang (@hsjwang)
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Excited to share our recently published work! doi.org/10.5194/hess-27-4369… One common challenge we often face is dealing with data that only covers a shorter timeframe compared to the scales we're interested in. We significantly improve it, take a look now!🙂
Inferring heavy tails of flood distributions through hydrograph recession analysis

Inferring heavy tails of flood distributions through hydrograph recession analysis

Abstract. Floods are often disastrous due to underestimation of the magnitude of rare events. Underestimation commonly happens when the magnitudes of floods follow a heavy-tailed distribution, but...

hess.copernicus.org
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#StartTwitterFromEGU23
Image from Hsing-Jui (Daniel) Wang (@hsjwang)
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