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ELLIS unit Jena @ellisunitjena.bsky.social · 7d

🎓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

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KinarNicholas.bsky.social @kinarnicholas.bsky.social · 14d

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.

Abhilash Singh @abhilashsingh.bsky.social · 14d

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

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Abhilash Singh @abhilashsingh.bsky.social · 14d

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

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ELLIS unit Jena @ellisunitjena.bsky.social · 17d

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...

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Santiago Gassó @sangasso.bsky.social · Sep 22

🧪🛰️🌍
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

Hour by Hour PM2.5 Mapping Using Geostationary Satellites

This study estimates ground-level fine particulate matter (PM2.5) concentrations using geostationary satellites-derived Aerosol Optical Depth (AOD) and radiance measurements and meteorological paramet...

pubs.acs.org

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KinarNicholas.bsky.social @kinarnicholas.bsky.social · Sep 21

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.

ML Earth Sciences @mlearthsciences.bsky.social · Sep 20

Spatially distributed antecedent rainfall thresholds for landslide occurrence: a multitask machine learning modelling approach

doi.org/10.1080/0262...
#machinelearning #landslide

Spatially distributed antecedent rainfall thresholds for landslide occurrence: a multitask machine learning modelling approach

Landslide susceptibility and the amount of antecedent rainfall required to trigger landslides are conceptually tightly linked but usually modelled separately. We propose an approach for modelling b...

doi.org

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ML Earth Sciences @mlearthsciences.bsky.social · Sep 20

Spatially distributed antecedent rainfall thresholds for landslide occurrence: a multitask machine learning modelling approach

doi.org/10.1080/0262...
#machinelearning #landslide

Spatially distributed antecedent rainfall thresholds for landslide occurrence: a multitask machine learning modelling approach

Landslide susceptibility and the amount of antecedent rainfall required to trigger landslides are conceptually tightly linked but usually modelled separately. We propose an approach for modelling b...

doi.org

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KinarNicholas.bsky.social @kinarnicholas.bsky.social · Sep 14

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.

ML Earth Sciences @mlearthsciences.bsky.social · Sep 13

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...

Leveraging Neural Operator and Sliding Window Technique for Enhanced Subsurface Soil Moisture Imputation Under Diverse Precipitation Scenarios

Developed a novel Fourier Neural Operator (FNO) to enhance subsurface soil moisture imputation by employing a sliding window concept that seamlessly integrates rainfall, soil temperature, and norm...

doi.org

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ML Earth Sciences @mlearthsciences.bsky.social · Sep 13

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...

Leveraging Neural Operator and Sliding Window Technique for Enhanced Subsurface Soil Moisture Imputation Under Diverse Precipitation Scenarios

Developed a novel Fourier Neural Operator (FNO) to enhance subsurface soil moisture imputation by employing a sliding window concept that seamlessly integrates rainfall, soil temperature, and norm...

doi.org

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IOPP Machine Learning and AI @iopp-mlresearch.bsky.social · Sep 5

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

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AMS Committee on Hydrology @amshydrology.bsky.social · Aug 26

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...

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KinarNicholas.bsky.social @kinarnicholas.bsky.social · Aug 21

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.

Proceedings of the National Academy of Sciences @pnas.org · Dec 11

A study of 632 freshwater fish species from 9,989 locations finds climate warming affects fish abundances, with increases at the poleward edges of species’ distributions and declines at the equatorward edges of species’ distributions. In PNAS: www.pnas.org/doi/10.1073/...

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Critical Zone News @cznews.bsky.social · Jul 17

#CriticalZone at #AGU25

Louise Kreissig-Arnal, PhD (she/elle) @arnallouise.bsky.social · Jul 16

Excited to share our #AGU25 session: New Developments & Future Directions in Community Water Resources Modeling

Topics include: 💻Open software, cloud computing 🌐Process representation, uncertainty, model coupling 🧠ML 👥Social hydrology

🔗Submit an abstract by July 30: agu.confex.com/agu/agu25/pr...

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Ben Bond-Lamberty @benbondlamberty.bsky.social · Jul 21

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

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AGU Catchment Hydrology Technical Committee @agucatchhydro.bsky.social · Jul 23

🌎 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!!!

Antonio Meira @ntoniomeiraneto.bsky.social · Jul 22

Inviting submissions to our session!
💧🌎
SESSION H048 - Challenges and Solutions for Hydrologic Scaling Across Multiple Processes and Scales

See the link below:
agu.confex.com/agu/agu25/pr...

Shout out to:
@agucatchhydro.bsky.social @agu-h3s.bsky.social @agu.org

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Fernando Pérez @fernandoperez.org · Jul 24

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!

Wilson Sauthoff @wilsonsauthoff.bsky.social · Jul 22

📣 Call for submissions: AGU25 IN029 "Open Source Geospatial Workflows in the Cloud" 🌍

Please submit your work using cutting-edge practices and tools that are shaping the future of geospatial science.

More info: events.geojupyter.org/conferences/...

#opensource #geospatial #jupyter #AGU25

AGU session advertisement with session title and invited speakers.

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Abhilash Singh @abhilashsingh.bsky.social · Jul 22

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

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IOPP Machine Learning and AI @iopp-mlresearch.bsky.social · Jul 22

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

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ML_Hydroclimate @mlhydroclimate.bsky.social · Jul 22

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…

https://doi.org/10.1016/j.enga…

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esaclimate @esaclimate.bsky.social · Jun 20

✊ 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

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Margaret Zimmer @margaretzimmer.bsky.social · Jun 6

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!

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KinarNicholas.bsky.social @kinarnicholas.bsky.social · Jun 7

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.

Ryoko Araki @rarakihydro.bsky.social · Jun 3

My 2nd PhD chapter is out! Soil drying speeds encode the signature of evapotranspiration. Using SMAP data, we demonstrated that, introducing nonlinearity in a traditional soil model help capture aggressive vs conservative vegetation water consumption.

doi.org/10.1029/2024...

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petersalamon.bsky.social @petersalamon.bsky.social · Jun 7

⏳ 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

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ML Earth Sciences @mlearthsciences.bsky.social · May 26

PC: Yifang Ban, KTH

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KinarNicholas.bsky.social @kinarnicholas.bsky.social · May 24

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.

Bioclimatology Göttingen @bioclimatology.bsky.social · May 12

Paper alert! Drollinger et al. show that shorter, more intense rain events in European beech forests shrink throughfall and amplify moisture patchiness, gradually loosening hydrological links and altering Critical Zone function. Link: iopscience.iop.org/article/10.1... #Hydrology #Climate

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