New paper: Sequential deep learning models offer only modest gains for upscaling land–atmosphere fluxes. The main bottlenecks are spatial sampling bias, which amplifies regional uncertainties and affects model sensitivity, and feature selection, which has large leverage on results.
18.08.2025 07:16 — 👍 2 🔁 0 💬 0 📌 0
Excited about our #AI based runoff reconstruction for #switzerland ranging back to 1962. Lead by @bask0.bsky.social, co-authored by @hydrologywsl.bsky.social , @soniaseneviratne.bsky.social , William Aeberhard, Michael Schirmer. hess.copernicus.org/articles/29/...
27.02.2025 08:18 — 👍 22 🔁 11 💬 1 📌 1
Promotional image for the "deep learning in hydrology" session. On the left, shows the following description: "We welcome abstracts related to novel theory development, new methodologies, or practical applications of deep learning in hydrological modeling and process understanding.". On the right, shows an abstract visualization of a brain with some elements of an electrical circuit. There is a waterfall coming out from the middle part of that brain, forming a river that flows towards the front.
Are you working on the intersection of hydrology and deep learning? Consider submitting your abstract to our #EGU25 session on "Deep Learning in Hydrology".
See detailed session description at meetingorganizer.copernicus.org/EGU25/sessio...
22.11.2024 14:42 — 👍 7 🔁 4 💬 0 📌 4
Deep learning & earth science @ Google Research
Data scientist and modeller understanding ecosystem dynamics and the carbon cycle. Researcher @GFZ_Potsdam. Former @MPI_BGC and @WUR member
https://simonbesnard1.github.io/
Official account of the Hydrological Sciences (HS) division of @EuroGeosciences (EGU). 💧🌎 Posts by Division President Alberto Viglione and our ECS Reps. Check out our Division homepage https://www.egu.eu/hs/. Contact us at hs@egu.eu and ecs-hs@egu.eu.
share here mostly thoughts with the hydrologist community - #NaturalHazards #Hydrology #Drought #Flood #HEPEX #Trockenheit - My opinions - www.drought.ch
Doctor in Civil and Environmental Engineering, EPFL - Urban climate, Python, and a bit of remote sensing, landscape ecology and complexity - martibosch.github.io
🇱🇧🇫🇷, born at 364 ppm || PhD Student in Climate Science at ETH Zürich || data science, climate science, energy and policy || he/him
Politikwissenschaftler | Podcaster Außenpolitikpodcast: Neben der Spur
Ich werde von etwas als Behausung benutzt!
Podcast: wrint.de
Auch interessant: https://mastodon.social/@zeitung
https://de.wikipedia.org/wiki/Frank_Rieger
Mastodon / Fediverse: @frank_rieger@chaos.social
Kolumne: https://steadyhq.com/en/realitatsabzweig/posts
Ein Teil von jener Kraft, die stets das Böse will und stets das Gute schafft.
@linuzifer@23.social
http://linus-neumann.de
Professional Amateur.
Dedicated Podcaster at Metaebene Personal Media.
Occasional Media Artist.
Discordian Evangelist.
Medienjournalist, Gründer übermedien.de
Earth system data sciences Prof. @UniLeipzig @RSC4Earth related to @UFZ_de @iDiv @SCADS.AI, worried about climate extremes, biodiversity, the human-environment nexus and the 🌎's future in general. Editor @EnvDataScience
Climate and freshwater scientist
Junior group leader at KIT | Hydrology | Modelling | Machine Learning
📕Die Kinderwüste, 📘Die Altenrepublik,
📗Redaktionsschluss 🎙️Die Neuen Zwanziger,
📺Fernsehpodcast
🔗 https://stefanschulz.com
Research Scientist @ Google Research. Working on the intersection of machine learning and hydrology. Located in Vienna, Austria.
Professor at ETH Zurich, IPCC WGI Vice-chair.
#Climate #Extremes #Land.
Citizen/mum/scientist. Personal account.
https://www.ipcc.ch/report/ar6/wg1/downloads/report/IPCC_AR6_WGI_Chapter11.pdf
Twitter/X: @SISeneviratne
https://www.iac.ethz.ch/people/sonia
