🎥𝗧𝗲𝗮𝗺 𝗧𝗮𝗹𝗲𝘀 𝗩𝗶𝗱𝗲𝗼𝘀 #𝟰𝟱 ⚙️🧑‍🔬Thomas Wolfers (thomaswolfers.bsky.social) is 𝗖𝗮𝗿𝗹 𝗭𝗲𝗶𝘀𝘀 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗼𝗿 for Artificial Intelligence in Neural Systems Imaging at @uni-jena.de and a member of the Ellis Unit Jena. 🔗 Gain firsthand insights into his research: www.youtube.com/watch?v=w-_Q...

Registration and abstract submission are now open: @ecmwf.int and German Space Agency at DLR are pleased to invite you to the 22nd International Workshop on Greenhouse Gas Measurements from Space, 29 June to 2 July, Bonn, Germany.

Hydrology Paper of the Day @cambup-archaeology.cambridge.org on the water reservoirs and hydrology of Northern Belize during the Mayan empire: Indigenous civil engineering; urban forest gardens and spatial patterns of settlement; possible wetland management; and mapping drainage by LiDAR techniques.

Our recent JGR paper (doi.org/10.1029/2025...) just got featured by Critical Zone News! What’s even better? They’ve explained it in a way anyone can understand. If you’ve ever wondered how soil “talks” about moisture across its layers, this is a fun and accessible read. tinyurl.com/5n93my8k

🎓ELLIS Unit Jena Vernissage
“When Machines Learn for Nature: AI Research on Climate and Biodiversity” 🤖🌿 📅 6 Nov 2025 ⏰ 5:15–7:00 PM
📍 University Main Building, Jena (@uni-jena.de)
🖼️ Exhibition runs until Dec 12
🔗 Register: survey.academiccloud.de/index.php/38... @ellis.eu

Hydrology Paper of the Day @abhilashsingh.bsky.social suggested by @mlearthsciences.bsky.social on obtaining subsurface soil moisture from surface soil moisture observations: conditional generative modeling in the context of Fickian diffusion, and a reverse diffusion process from a neural network.

Can weak physics improve machine-learning generalization to new (or any) sites compared to hard-constraint physics-informed machine learning that requires site-specific details? We address this question in our new paper in GRL. doi.org/10.1029/2025... #soilmoisture #machinelearning

Looking forward to the AI in Science Summit 2025, 📆 3–4 Nov in Copenhagen! Markus Reichstein co-curates the Planet & Climate workshop with Sašo Džeroski. Speakers: Jonas Peters, Gustau Camps-Valls, Florence Rabier & Christian Igel 🔗 ais25-summit.webflow.io/thematic-wor...

🧪🛰️🌍 A great use of satellite platforms: ML applied to #geostationary native radiance observations (GOES and TEMPO) with High res model outputs to derive surface PM2.5 pubs.acs.org/doi/10.1021/... @aerosolwatch.bsky.social @mparrington.bsky.social

Hydrology Paper of the Day @mlearthsciences.bsky.social on linkages between rainfall and landslides as predicted by machine learning: investigating how ANNs demonstrate a geography of risk; comparisons with known areas of landslides; and application to the Serra Geral region of southern Brazil.

Spatially distributed antecedent rainfall thresholds for landslide occurrence: a multitask machine learning modelling approach doi.org/10.1080/0262... #machinelearning #landslide

Hydrology Paper of the Day @mlearthsciences.bsky.social on the use of frequency-domain neural networks for soil moisture imputation: weather station observations and model application by sliding windows and spatial convolution; a comparison of approaches; and rainfall magnitudes and sensitivities.

Worried about missing value? A novel imputation framework based on Fourier neural operators (FNO) for soil moisture. The FNO model outperforms traditional approaches, and incorporating temporal lag reduces error by up to 15% in the diverse climates in India and Zambia. doi.org/10.1029/2025...

Recently published in #MachineLearningEngineering 🥳 Read the #openaccess article: 'Understanding interpretable patterns of Shapley behaviours in materials data' 👉 ow.ly/bmmN50WHE2X From Tommy Liu and Amanda S Barnard, (Australian National University) #DataAnalysis #ExplainableArtificialIntelligence

We are excited to announce openings for SIX new members to join the @ametsoc.org Committee on Hydrology! We are looking for 2 undergrad/grad student members and 4 regular members. Applications are due September 16 (CV and letter of interest required): forms.gle/qKdsLTTK1k9e...

Hydrology Paper of the Day @pnas.org on how climate change, increases in stream temperature, and latitudinal gradients affect freshwater fish populations: the RivFishTime database paired with the Global Biodiversity Information Facility database for spatial analyses, and identifying decadal trends.

#CriticalZone at #AGU25

BO11 - Advancing Biogeochemical Cycle Modeling with Artificial Intelligence (Al): Bridging Data-Driven Methods and Process-Based Approaches #AGU25

🌎 Are you attending #AGU25? Consider submitting your abstract to our session on Challenges and Solutions for Hydrologic Scaling Across Multiple Processes and Scales. More information below!!!

Open source, open science for earth, climate and geospatial science? Coming to #AGU25? Build tools in #Python @jupyter.org? Submit an abstract for this session and come meet us and like minded scientists!

First post !!! Happy to share our new paper is out in Engineering Applications of AI! "Overcoming Data Scarcity" uses transfer learning + satellite fusion to predict soil moisture with 55% less in-situ data 🔗 doi.org/10.1016/j.enga… �� abhilashsingh.net/codes.ht#RemoteSensinge#MLn#AIML #AI

Publish in AI for Science for: 🔬 Broad scope for AI-driven scientific breakthroughs 🌍 Open access publishing at no cost to you ✅ Review by top international experts ⚡ Fast publication 📝 Formatting your way and we’ll handle the rest 🔗 Submit now: iopscience.iop.org/journal/3050... #AIResearch

A new paper is out in Engineering Applications of AI! "Overcoming Data Scarcity" uses transfer learning + satellite fusion to predict soil moisture with 55% less in-situ data 🔗 doi.org/10.1016/j.enga…

✊ From observations to actionable information: Take a look at our mission in our digital flyer! It gives an overview of 40+ years of satellite data from a growing number of Essential Climate Variables to strengthen climate understanding and inform effective decision-making: t1p.de/lbgyl #LPS25

Wrapping up your PhD? I’m planning to hire a postdoc in the next few months (start date flexible). Will start formally advertising soon, but you heard it here first!! Possible research topics include - critical zone hydrology, agricultural water quality, SW-GW interactions. Reach out if interested!

Hydrology Paper of the Day @rarakihydro.bsky.social on a model of soil moisture loss that utilizes a nonlinear function: model fitting to SMAP remote sensing data; an examination of global-scale patterns; how aridity, sand fraction and landcover affects outputs; and the role of evapotranspiration.

⏳ Time is running out! Apply by 15 June to join the JRC as a hydrologic modeller and help shape the future of early warnings in Europe and beyond. Make an impact with #CEMS, #EFAS, #GloFAS. 🔗 recruitment.jrc.ec.europa.eu/vacancy/1885 #Floods #Drought #Hydrology

PC: Yifang Ban, KTH

Hydrology Paper of the Day @bioclimatology.bsky.social on how more than six years of data from a beech forest in Germany indicates changes in Critical Zone hydrology due to climate change: rainfall trends and canopy-scale partitioning; seasonal changes; and identifying storage and drivers.

Calling all river scientists & engineers! #RiverFlow2026 is now accepting abstracts. Share your latest research in fluvial hydraulics and join us in Thessaloniki, Greece! Submit your abstract by August 15, 2025.
🔗 riverflow2026.web.auth.gr 
#Hydraulics #RiverScience

Interesting readings very recently published on 𝘿𝙞𝙜𝙞𝙩𝙖𝙡 𝙏𝙬𝙞𝙣𝙨 𝙤𝙛 𝙩𝙝𝙚 𝙀𝙖𝙧𝙩𝙝 Digital Twins of the Earth Between Vision and Fiction lnkd.in/dYQTs5wM and also: Bring digital twins back to Earth lnkd.in/dih-JvGT

Hydrology Paper of the Day @ianabrown.bsky.social on how landscape affects drone-based photogrammetry: comparisons with LiDAR DEMs and CHMs for the Kronängen area of boreal forests and meadows; differences in topography; and accuracy comparisons with respect to weather, location and vegetation.

Hydrology Paper of the Day @okke-batelaan.bsky.social on determining ET and temperature beneath the canopy of a forest by drone and airplane thermal imaging, LiDAR scanning and modelling: two catchments in Australia; satellite optical sensing; upscaling; validation; and quantifying uncertainties.

Hydrology Paper of the Day @geospatialtao.bsky.social on a novel framework for UAS remote sensing of rangelands: the Reynolds Creek Experimental Watershed in southwest Idaho; machine learning image classification; comparison with existing data products; and the effects of spatial resolution.

🌍 AI is transforming climate research! Catch us at #EGU25 presenting cutting-edge work on applying #MachineLearning, hybrid models, and causal discovery in climate research. ⚡️ Don’t miss: Camps-Valls, Reid, Ouala, Beucler + more! #AI4Climate #ML4Science #EGU25 #ClimateAI

Currently working on my medal lecture talk for #EGU25. Without any doubt, this lecture youtu.be/yCC09vCHzF8?... by @karpathy.bsky.social was one of the key steps.

📢 New CFP: Special Collection in EDS! Calling for work exploring the convergence between #data-driven methodologies (#AI, #machinelearning) and physical modeling for Earth system science, building upon an upcoming workshop #EGU25 (@egu.eu). ℹ️ How to submit: bit.ly/3Eq4WLV 📅 Deadline: 31 Oct 2025

Hi there @bsky.app! The AMS Hydrology committee is excited to join @ametsoc.org here to grow the #hydrology community ahead of #AMS2026! ✅ Follow for hydrology/hydrometeorology facts, news, events, and more!

Hydrology Paper of the Day @queenofpeat.bsky.social on peatland fires that continue burning during winter in the NWT and Alaska: how biomass controls the spatial prevalence of fires in lieu of fire weather areas; seedlings, soils and trees over a transect; and quantifying biogeochemical cycles.

Hydrology Paper of the Day @drevaplaganyi.bsky.social on a commentary related to how wealthy countries affect deforestation and the biogeography of other nations: marine ecosystems and impacts; importing of resources in lieu of internal resource management; and recognizing global biodiversity.

Hydrology Paper of the Day @iflscience.com on weird hydrology: rivers that flow in different drainage basins; why some rivers flow in two directions or have a reversed direction of flow; a lake that drains into two oceans; river capture and geological controls; modelling; and management challenges.

Hydrology Paper of the Day @agrohydrology.bsky.social on the novel concept of thirstwaves: the standardized reference evapotranspiration must be greater than the 90th percentile of this measurement at a site for a period of three days; mapping thirstwave spatial patterns; and decadal trends.

Great new paper by H. Mosaffa et al. on Journal of Hydrology: 𝗛𝗥-𝗣𝗿𝗲𝗰𝗶𝗽𝗡𝗲𝘁: 𝗔 𝗺𝗮𝗰𝗵𝗶𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 𝗳𝗼𝗿 𝟭-𝗸𝗺 𝗵𝗶𝗴𝗵-𝗿𝗲𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝘀𝗮𝘁𝗲𝗹𝗹𝗶𝘁𝗲 𝗽𝗿𝗲𝗰𝗶𝗽𝗶𝘁𝗮𝘁𝗶𝗼𝗻 𝗲𝘀𝘁𝗶𝗺𝗮𝘁𝗶𝗼𝗻 doi.org/10.1016/j.jh... Effective use of @esa.int Sentinel-1 for actual high-resolution (1 km) precipitation estimation...great!

Hydrology Paper of the Day @almontanari.bsky.social on a version of BLUECAT to bias correct outputs of deterministic models and obtain an estimate of uncertainty by stochastic processes: quantiles via order statistics; extension to a multimodel case of ensemble members; and hydrology applications.

Hydrology Paper of the Day @agu.org on a series of papers that influenced our understanding of hydrology: predicting unsaturated hydraulic conductivity; identification of monotonic trends; water management challenges; Colorado River droughts; and machine learning in the context of scale.

Hydrology Paper of the Day @hydrologywsl.bsky.social on the use of deep-learning to determine daily maximum water temperature: a decade of data from 54 stations in Switzerland used to train three deep-learning models; forecasting and model performance comparisons; and quantifying predictive skill.

Hydrology Paper of the Day @smanderson.bsky.social on climate change in coastal wetlands: how tree species are affected by salinity pulses due to saltwater intrusion; species-specific responses and impacts; leaf spectral reflectance changes related to NDVI and PRI; and greenhouse experiments.

Just in time for my #HEPEX online presentation tomorrow We have a paper on our deep learning based monthly stream temperature forecasts @egu-hs.bsky.social @ryanpad.bsky.social led it hess.copernicus.org/articles/29/...

Looking forward to this networking event!! Join us there if you are a young hydrologist heading to the #EGU25 General Assembly 🙂

Hydrology Paper of the Day @georgiapapachar.bsky.social on deep learning with the Huber quantile regression function: point predictions and scoring; an application to house prices in Melbourne, Australia; three implementation architectures; and integration of ideas from hydrological applications.