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Weather whiplash and inequality: Rainstorms after drought are increasing in poor regions Between 1980-2010, drought-to-downpour events increased by 24%–48% in the poorest 20% of the world's population. bit.ly/3ONnIPq

Chinese painting and geoscience at #EGU2024

A hindcast experiment of the 2021 #EuropeanFlood unveils a 17-hour lead time for preparedness and advisable action, holding promise for impact-based #FloodForecasting of inundated roads, railways and building footprint in real-time. @ufz_de nature.com/articles/s4146…

The ASCE/EWRI Risk & Uncertainty Committee is hosting a webinar series: Join us for an insightful presentation by Dr. Günter Blöschl on the topic- "Processes of River Flood Generation – Are They Changing?" 2-3 PM (EST), Wednesday, 19th June Zoom link: clemson.zoom.us/j/99543951338?…

Can a DL emulator model learn continental scale hydrology? Yes it can. New paper out from our Hydro-ML team shows how! Nice work led by @arbennett_ and Laura Condon with Hoang Tran Peter Melchior (@[email protected]) et al Princeton Engineering igwmc agupubs.onlinelibrary.wiley.com/doi/10.1029/20…

After almost a year, our review paper on #Physics-Guided #DeepLearning finally appears at PNASNews pnas.org/doi/10.1073/pn…! It is part of the special issue on #Physics Meet #MachineLearning pnas.org/topic/559 (1/3)

We are pleased to share our new preprint describing #GRIT, led by Michel Wortmann on behalf of the NERC_EvoFLOOD @NERCScience project! "Global River Topology (GRIT): A bifurcating river hydrography" Preprint: doi.org/10.22541/essoa… Hydrography: zenodo.org/records/112193…

New Publication: "Spatiotemporal Variability of Channel Roughness and its Substantial Impacts on Flood Modeling Errors" from NOAA National Water Center SI2022 project! Article DOI: doi.org/10.1029/2023EF… #Hydrology #FloodModeling #MachineLearning #BigData

We are excited to share our review of “Challenges and opportunities of ML and explainable AI in hydrology” on Earth ArXiv: doi.org/10.31223/X5069W (currently under review at Philosophical Transactions of the Royal Society A)

You can see in this video why flash floods are likened to inland tsunamis. Even with a warning it is difficult to get out of the way in time. The danger also comes from the amount of debris carried in the flow. Extreme rainfall can cause these walls of water. #Valencia

Delighted to share 'Challenges and opportunities of ML and explainable AI in large-sample hydrology,' accepted today The Royal Society. The revised manuscript is available at: eartharxiv.org/repository/vie… Thanks to the reviewers, editor, conference organisers & a great team of co-authors!

Daily Briefing | Huge COP29 climate deal too little too late, poorer nations say ➡️ buff.ly/4g2tw2v

Windblown dust has heavy economic consequences. eos.org/articles/will-…

tandfonline.com/doi/pdf/10.108…

Land subsidence isn’t just a coastal problem: All the biggest cities in the United States are sinking. eos.org/articles/33-8-…

River datasets often miss forks and branches found in highly populated floodplains and deltas. As flooding grows more severe, accurate mapping of these areas is more important than ever. eos.org/research-spotl…

preventionweb.net/quick/94388

Research Associate in Hydrology at The University of Edinburgh jobs.ac.uk/job/DNV884/res…