Environmental Data Science
@envdatascience.bsky.social
Environmental Data Science is an #OpenAccess journal @cambridgeup.bsky.social dedicated to the use of data science & AI to enhance our understanding of the environment.
New article!
From winter storm thermodynamics to wind gust extremes: discovering interpretable equations from data
👉 https://bit.ly/4oPzZSN
✍️ Frederick Iat-Hin Tam, Fabien Augsburger, Tom Beucler (@fgse-unil.bsky.social, @unil.bsky.social )
@climformatics.bsky.social #CI2025 #thermodynamics #wind
From winter storm thermodynamics to wind gust extremes: discovering interpretable equations from data
👉 https://bit.ly/4oPzZSN
✍️ Frederick Iat-Hin Tam, Fabien Augsburger, Tom Beucler (@fgse-unil.bsky.social, @unil.bsky.social )
@climformatics.bsky.social #CI2025 #thermodynamics #wind
November 5, 2025 at 11:02 AM
New article!
From winter storm thermodynamics to wind gust extremes: discovering interpretable equations from data
👉 https://bit.ly/4oPzZSN
✍️ Frederick Iat-Hin Tam, Fabien Augsburger, Tom Beucler (@fgse-unil.bsky.social, @unil.bsky.social )
@climformatics.bsky.social #CI2025 #thermodynamics #wind
From winter storm thermodynamics to wind gust extremes: discovering interpretable equations from data
👉 https://bit.ly/4oPzZSN
✍️ Frederick Iat-Hin Tam, Fabien Augsburger, Tom Beucler (@fgse-unil.bsky.social, @unil.bsky.social )
@climformatics.bsky.social #CI2025 #thermodynamics #wind
📢 CALL FOR PAPERS: FINAL DAY TO SUBMIT!
Connecting Data-Driven and Physical Approaches: Application to Climate Modeling and Earth System Observation
A special collection building upon a workshop at #EGU25.
⏰ 31 October 2025
ℹ️ https://bit.ly/4k09cBu
#climate #AI #forecasting
Connecting Data-Driven and Physical Approaches: Application to Climate Modeling and Earth System Observation
A special collection building upon a workshop at #EGU25.
⏰ 31 October 2025
ℹ️ https://bit.ly/4k09cBu
#climate #AI #forecasting
October 31, 2025 at 11:01 AM
📢 CALL FOR PAPERS: FINAL DAY TO SUBMIT!
Connecting Data-Driven and Physical Approaches: Application to Climate Modeling and Earth System Observation
A special collection building upon a workshop at #EGU25.
⏰ 31 October 2025
ℹ️ https://bit.ly/4k09cBu
#climate #AI #forecasting
Connecting Data-Driven and Physical Approaches: Application to Climate Modeling and Earth System Observation
A special collection building upon a workshop at #EGU25.
⏰ 31 October 2025
ℹ️ https://bit.ly/4k09cBu
#climate #AI #forecasting
📢 CALL FOR PAPERS: Closing soon!
Connecting Data-Driven and Physical Approaches: Application to Climate Modeling and Earth System Observation
A special collection building upon a workshop at #EGU25.
⏰ 31 October 2025
ℹ️ https://bit.ly/4k09cBu
#climate #AI #forecasting
Connecting Data-Driven and Physical Approaches: Application to Climate Modeling and Earth System Observation
A special collection building upon a workshop at #EGU25.
⏰ 31 October 2025
ℹ️ https://bit.ly/4k09cBu
#climate #AI #forecasting
October 17, 2025 at 10:01 AM
📢 CALL FOR PAPERS: Closing soon!
Connecting Data-Driven and Physical Approaches: Application to Climate Modeling and Earth System Observation
A special collection building upon a workshop at #EGU25.
⏰ 31 October 2025
ℹ️ https://bit.ly/4k09cBu
#climate #AI #forecasting
Connecting Data-Driven and Physical Approaches: Application to Climate Modeling and Earth System Observation
A special collection building upon a workshop at #EGU25.
⏰ 31 October 2025
ℹ️ https://bit.ly/4k09cBu
#climate #AI #forecasting
New article!
Graph neural networks for hourly precipitation projections at the convection permitting scale with a novel hybrid imperfect framework
👉https://bit.ly/46RPjIF
✍️Valentina Blasone,
@erikacoppola.bsky.social, Guido Sanguinetti, Viplove Arora, Serafina Di Gioia & Luca Bortolussi
Graph neural networks for hourly precipitation projections at the convection permitting scale with a novel hybrid imperfect framework
👉https://bit.ly/46RPjIF
✍️Valentina Blasone,
@erikacoppola.bsky.social, Guido Sanguinetti, Viplove Arora, Serafina Di Gioia & Luca Bortolussi
October 15, 2025 at 10:02 AM
New article!
Graph neural networks for hourly precipitation projections at the convection permitting scale with a novel hybrid imperfect framework
👉https://bit.ly/46RPjIF
✍️Valentina Blasone,
@erikacoppola.bsky.social, Guido Sanguinetti, Viplove Arora, Serafina Di Gioia & Luca Bortolussi
Graph neural networks for hourly precipitation projections at the convection permitting scale with a novel hybrid imperfect framework
👉https://bit.ly/46RPjIF
✍️Valentina Blasone,
@erikacoppola.bsky.social, Guido Sanguinetti, Viplove Arora, Serafina Di Gioia & Luca Bortolussi
📢 Solution-Based #DataScience for #Environmental #Biology Challenges
Announcing a new Call for Papers with @cu-esiil.bsky.social to advance data-intensive approaches to better understand today's environmental challenges:
ℹ️https://bit.ly/4q0b68m
📅 31 May 2026
#TippingPoints #Resilience #Adaptation
Announcing a new Call for Papers with @cu-esiil.bsky.social to advance data-intensive approaches to better understand today's environmental challenges:
ℹ️https://bit.ly/4q0b68m
📅 31 May 2026
#TippingPoints #Resilience #Adaptation
October 14, 2025 at 10:40 AM
📢 Solution-Based #DataScience for #Environmental #Biology Challenges
Announcing a new Call for Papers with @cu-esiil.bsky.social to advance data-intensive approaches to better understand today's environmental challenges:
ℹ️https://bit.ly/4q0b68m
📅 31 May 2026
#TippingPoints #Resilience #Adaptation
Announcing a new Call for Papers with @cu-esiil.bsky.social to advance data-intensive approaches to better understand today's environmental challenges:
ℹ️https://bit.ly/4q0b68m
📅 31 May 2026
#TippingPoints #Resilience #Adaptation
📢 CALL FOR PAPERS: Connecting Data-Driven and Physical Approaches: Application to Climate Modeling and Earth System Observation
Only 1 month left to submit to this special collection building upon a workshop at #EGU25.
ℹ️ https://bit.ly/4k09cBu
#climate #AI #forecasting
Only 1 month left to submit to this special collection building upon a workshop at #EGU25.
ℹ️ https://bit.ly/4k09cBu
#climate #AI #forecasting
September 30, 2025 at 10:02 AM
📢 CALL FOR PAPERS: Connecting Data-Driven and Physical Approaches: Application to Climate Modeling and Earth System Observation
Only 1 month left to submit to this special collection building upon a workshop at #EGU25.
ℹ️ https://bit.ly/4k09cBu
#climate #AI #forecasting
Only 1 month left to submit to this special collection building upon a workshop at #EGU25.
ℹ️ https://bit.ly/4k09cBu
#climate #AI #forecasting
Recently published!
Precipitation prediction over the upper Indus Basin from large-scale circulation patterns using Gaussian processes
👉 https://bit.ly/4nojwoo
✍️ @kenzatazi.bsky.social , Andrew Orr, @scotthosking.bsky.social & Richard E. Turner
@theturing.bsky.social
@bas.ac.uk
#precipitation
Precipitation prediction over the upper Indus Basin from large-scale circulation patterns using Gaussian processes
👉 https://bit.ly/4nojwoo
✍️ @kenzatazi.bsky.social , Andrew Orr, @scotthosking.bsky.social & Richard E. Turner
@theturing.bsky.social
@bas.ac.uk
#precipitation
September 29, 2025 at 10:02 AM
Recently published!
Precipitation prediction over the upper Indus Basin from large-scale circulation patterns using Gaussian processes
👉 https://bit.ly/4nojwoo
✍️ @kenzatazi.bsky.social , Andrew Orr, @scotthosking.bsky.social & Richard E. Turner
@theturing.bsky.social
@bas.ac.uk
#precipitation
Precipitation prediction over the upper Indus Basin from large-scale circulation patterns using Gaussian processes
👉 https://bit.ly/4nojwoo
✍️ @kenzatazi.bsky.social , Andrew Orr, @scotthosking.bsky.social & Richard E. Turner
@theturing.bsky.social
@bas.ac.uk
#precipitation
New article!
Toward accurate forecasting of renewable energy: Building datasets and benchmarking machine learning models for solar and wind power in France
👉 https://bit.ly/4mCtrWj
✍️ Eloi Lindas, Yannig Goude & Philippe Ciais (@lsce-ipsl.bsky.social)
#climate #MachineLearning #forecasting
Toward accurate forecasting of renewable energy: Building datasets and benchmarking machine learning models for solar and wind power in France
👉 https://bit.ly/4mCtrWj
✍️ Eloi Lindas, Yannig Goude & Philippe Ciais (@lsce-ipsl.bsky.social)
#climate #MachineLearning #forecasting
September 25, 2025 at 10:02 AM
New article!
Toward accurate forecasting of renewable energy: Building datasets and benchmarking machine learning models for solar and wind power in France
👉 https://bit.ly/4mCtrWj
✍️ Eloi Lindas, Yannig Goude & Philippe Ciais (@lsce-ipsl.bsky.social)
#climate #MachineLearning #forecasting
Toward accurate forecasting of renewable energy: Building datasets and benchmarking machine learning models for solar and wind power in France
👉 https://bit.ly/4mCtrWj
✍️ Eloi Lindas, Yannig Goude & Philippe Ciais (@lsce-ipsl.bsky.social)
#climate #MachineLearning #forecasting
New article!
Air quality prediction from images in Indonesia: enhancing model explainability through visual explanation with AQI-net and grad-CAM
👉 https://bit.ly/4g434qD
✍️ Muhammad Labib Alauddin, Novanto Yudistira & Muhammad Arif Rahman
@climformatics.bsky.social #CI2025 #airquality
Air quality prediction from images in Indonesia: enhancing model explainability through visual explanation with AQI-net and grad-CAM
👉 https://bit.ly/4g434qD
✍️ Muhammad Labib Alauddin, Novanto Yudistira & Muhammad Arif Rahman
@climformatics.bsky.social #CI2025 #airquality
September 3, 2025 at 10:02 AM
New article!
Air quality prediction from images in Indonesia: enhancing model explainability through visual explanation with AQI-net and grad-CAM
👉 https://bit.ly/4g434qD
✍️ Muhammad Labib Alauddin, Novanto Yudistira & Muhammad Arif Rahman
@climformatics.bsky.social #CI2025 #airquality
Air quality prediction from images in Indonesia: enhancing model explainability through visual explanation with AQI-net and grad-CAM
👉 https://bit.ly/4g434qD
✍️ Muhammad Labib Alauddin, Novanto Yudistira & Muhammad Arif Rahman
@climformatics.bsky.social #CI2025 #airquality
Recently published! 🌍
Crafting desirable climate trajectories with reinforcement learning explored socio-environmental simulations
👉 https://bit.ly/4oVbLre
✍️James Rudd-Jones, Fiona Thendean & María Pérez-Ortiz (@ucl.ac.uk)
#ClimateChange #ClimatePolicy
Crafting desirable climate trajectories with reinforcement learning explored socio-environmental simulations
👉 https://bit.ly/4oVbLre
✍️James Rudd-Jones, Fiona Thendean & María Pérez-Ortiz (@ucl.ac.uk)
#ClimateChange #ClimatePolicy
August 29, 2025 at 10:02 AM
Recently published! 🌍
Crafting desirable climate trajectories with reinforcement learning explored socio-environmental simulations
👉 https://bit.ly/4oVbLre
✍️James Rudd-Jones, Fiona Thendean & María Pérez-Ortiz (@ucl.ac.uk)
#ClimateChange #ClimatePolicy
Crafting desirable climate trajectories with reinforcement learning explored socio-environmental simulations
👉 https://bit.ly/4oVbLre
✍️James Rudd-Jones, Fiona Thendean & María Pérez-Ortiz (@ucl.ac.uk)
#ClimateChange #ClimatePolicy
New article! 🌍🛰️
Discrete variational autoencoders for synthetic nighttime visible satellite imagery
👉 https://bit.ly/4oVjTb5
✍️ Mickell D. Als, David Tomarov & @steve.fediscience.org.ap.brid.gy (@uoftcompsci.bsky.social)
Part of the @climformatics.bsky.social #CI2025 collection
#DeepLearning
Discrete variational autoencoders for synthetic nighttime visible satellite imagery
👉 https://bit.ly/4oVjTb5
✍️ Mickell D. Als, David Tomarov & @steve.fediscience.org.ap.brid.gy (@uoftcompsci.bsky.social)
Part of the @climformatics.bsky.social #CI2025 collection
#DeepLearning
August 27, 2025 at 10:04 AM
New article! 🌍🛰️
Discrete variational autoencoders for synthetic nighttime visible satellite imagery
👉 https://bit.ly/4oVjTb5
✍️ Mickell D. Als, David Tomarov & @steve.fediscience.org.ap.brid.gy (@uoftcompsci.bsky.social)
Part of the @climformatics.bsky.social #CI2025 collection
#DeepLearning
Discrete variational autoencoders for synthetic nighttime visible satellite imagery
👉 https://bit.ly/4oVjTb5
✍️ Mickell D. Als, David Tomarov & @steve.fediscience.org.ap.brid.gy (@uoftcompsci.bsky.social)
Part of the @climformatics.bsky.social #CI2025 collection
#DeepLearning
New article!🌍💨💡
Turbine location-aware multi-decadal wind power predictions for Germany using CMIP6
👉 doi.org/10.1017/eds....
✍️ Nina Effenberger & @nnludwig.bsky.social
This uses a global #climate model and shows #wind as a reliable #energy source with turbine location essential for projections.
Turbine location-aware multi-decadal wind power predictions for Germany using CMIP6
👉 doi.org/10.1017/eds....
✍️ Nina Effenberger & @nnludwig.bsky.social
This uses a global #climate model and shows #wind as a reliable #energy source with turbine location essential for projections.
August 22, 2025 at 7:51 AM
New article!🌍💨💡
Turbine location-aware multi-decadal wind power predictions for Germany using CMIP6
👉 doi.org/10.1017/eds....
✍️ Nina Effenberger & @nnludwig.bsky.social
This uses a global #climate model and shows #wind as a reliable #energy source with turbine location essential for projections.
Turbine location-aware multi-decadal wind power predictions for Germany using CMIP6
👉 doi.org/10.1017/eds....
✍️ Nina Effenberger & @nnludwig.bsky.social
This uses a global #climate model and shows #wind as a reliable #energy source with turbine location essential for projections.
Recent article! 🌳🌍
Tree semantic segmentation from aerial image time series
👉 doi.org/10.1017/eds....
✍️ Venkatesh Ramesh @arthurouaknine.bsky.social & @drolnick.bsky.social
Research that advances #forest monitoring using #deeplearning on aerial imagery time series.
Tree semantic segmentation from aerial image time series
👉 doi.org/10.1017/eds....
✍️ Venkatesh Ramesh @arthurouaknine.bsky.social & @drolnick.bsky.social
Research that advances #forest monitoring using #deeplearning on aerial imagery time series.
August 21, 2025 at 10:13 PM
Recent article! 🌳🌍
Tree semantic segmentation from aerial image time series
👉 doi.org/10.1017/eds....
✍️ Venkatesh Ramesh @arthurouaknine.bsky.social & @drolnick.bsky.social
Research that advances #forest monitoring using #deeplearning on aerial imagery time series.
Tree semantic segmentation from aerial image time series
👉 doi.org/10.1017/eds....
✍️ Venkatesh Ramesh @arthurouaknine.bsky.social & @drolnick.bsky.social
Research that advances #forest monitoring using #deeplearning on aerial imagery time series.
📢 CALL FOR PAPERS REMINDER!
Connecting #Data-Driven and Physical Approaches: Application to #Climate #Modeling and #Earth System Observation
Submit your work to this special collection in EDS (@universitypress.cambridge.org)
🗓️ 31st Oct 2025
ℹ️ bit.ly/4k09cBu
@brajard.bsky.social #AI #ML #Weather
Connecting #Data-Driven and Physical Approaches: Application to #Climate #Modeling and #Earth System Observation
Submit your work to this special collection in EDS (@universitypress.cambridge.org)
🗓️ 31st Oct 2025
ℹ️ bit.ly/4k09cBu
@brajard.bsky.social #AI #ML #Weather
August 20, 2025 at 11:09 AM
📢 CALL FOR PAPERS REMINDER!
Connecting #Data-Driven and Physical Approaches: Application to #Climate #Modeling and #Earth System Observation
Submit your work to this special collection in EDS (@universitypress.cambridge.org)
🗓️ 31st Oct 2025
ℹ️ bit.ly/4k09cBu
@brajard.bsky.social #AI #ML #Weather
Connecting #Data-Driven and Physical Approaches: Application to #Climate #Modeling and #Earth System Observation
Submit your work to this special collection in EDS (@universitypress.cambridge.org)
🗓️ 31st Oct 2025
ℹ️ bit.ly/4k09cBu
@brajard.bsky.social #AI #ML #Weather
Article!
MoTiF: a self-supervised model for multi-source #forecasting with application to #tropical #cyclones 🌀🌍
✍️Clément Dauvilliers & Claire Monteleoni (INRIA & colorado.edu)
�� https://doi.org/10.1017/eds.2025.1000014
Presents #deeplearninga#AIng #AI method for foreca#extremeweathereather.
MoTiF: a self-supervised model for multi-source #forecasting with application to #tropical #cyclones 🌀🌍
✍️Clément Dauvilliers & Claire Monteleoni (INRIA & colorado.edu)
�� https://doi.org/10.1017/eds.2025.1000014
Presents #deeplearninga#AIng #AI method for foreca#extremeweathereather.
August 20, 2025 at 10:46 AM
Article!
MoTiF: a self-supervised model for multi-source #forecasting with application to #tropical #cyclones 🌀🌍
✍️Clément Dauvilliers & Claire Monteleoni (INRIA & colorado.edu)
�� https://doi.org/10.1017/eds.2025.1000014
Presents #deeplearninga#AIng #AI method for foreca#extremeweathereather.
MoTiF: a self-supervised model for multi-source #forecasting with application to #tropical #cyclones 🌀🌍
✍️Clément Dauvilliers & Claire Monteleoni (INRIA & colorado.edu)
�� https://doi.org/10.1017/eds.2025.1000014
Presents #deeplearninga#AIng #AI method for foreca#extremeweathereather.
Recent article!
Uncertainty bounds for long-term causal effects of perturbations in spatiotemporal systems
👉 https://bit.ly/3Idjb8x
By Kevin Debeire, Andreas Gerhardus, Renée Bichler, @jakobrunge.bsky.social and Veronika Eyring
#spatiotemporalmodels #uncertaintyestimations
Uncertainty bounds for long-term causal effects of perturbations in spatiotemporal systems
👉 https://bit.ly/3Idjb8x
By Kevin Debeire, Andreas Gerhardus, Renée Bichler, @jakobrunge.bsky.social and Veronika Eyring
#spatiotemporalmodels #uncertaintyestimations
August 15, 2025 at 10:01 AM
Recent article!
Uncertainty bounds for long-term causal effects of perturbations in spatiotemporal systems
👉 https://bit.ly/3Idjb8x
By Kevin Debeire, Andreas Gerhardus, Renée Bichler, @jakobrunge.bsky.social and Veronika Eyring
#spatiotemporalmodels #uncertaintyestimations
Uncertainty bounds for long-term causal effects of perturbations in spatiotemporal systems
👉 https://bit.ly/3Idjb8x
By Kevin Debeire, Andreas Gerhardus, Renée Bichler, @jakobrunge.bsky.social and Veronika Eyring
#spatiotemporalmodels #uncertaintyestimations
Recently published!
Development of a comprehensive bilateral trade-flow dataset of the environmental pressures of global food production
👉 https://bit.ly/3TPYC4q
By authors from @nceas-ucsb.bsky.social
#climatechange #agriculture #food
@jagephart.bsky.social
Development of a comprehensive bilateral trade-flow dataset of the environmental pressures of global food production
👉 https://bit.ly/3TPYC4q
By authors from @nceas-ucsb.bsky.social
#climatechange #agriculture #food
@jagephart.bsky.social
August 13, 2025 at 10:01 AM
Recently published!
Development of a comprehensive bilateral trade-flow dataset of the environmental pressures of global food production
👉 https://bit.ly/3TPYC4q
By authors from @nceas-ucsb.bsky.social
#climatechange #agriculture #food
@jagephart.bsky.social
Development of a comprehensive bilateral trade-flow dataset of the environmental pressures of global food production
👉 https://bit.ly/3TPYC4q
By authors from @nceas-ucsb.bsky.social
#climatechange #agriculture #food
@jagephart.bsky.social
Recently published position paper by
@mierksch.bsky.social et al.!
Opportunities and challenges of quantum computing for climate modeling
👉 https://bit.ly/4591Cyb
#climatemoedling #quantumcomputing
@mierksch.bsky.social et al.!
Opportunities and challenges of quantum computing for climate modeling
👉 https://bit.ly/4591Cyb
#climatemoedling #quantumcomputing
August 11, 2025 at 10:02 AM
Recently published position paper by
@mierksch.bsky.social et al.!
Opportunities and challenges of quantum computing for climate modeling
👉 https://bit.ly/4591Cyb
#climatemoedling #quantumcomputing
@mierksch.bsky.social et al.!
Opportunities and challenges of quantum computing for climate modeling
👉 https://bit.ly/4591Cyb
#climatemoedling #quantumcomputing
📢 CALL FOR PAPERS: Connecting Data-Driven and Physical Approaches: Application to Climate Modeling and Earth System Observation
This special collection will build upon a workshop at #EGU25.
🗓️31st Oct 2025
ℹ️https://bit.ly/4k09cBu
@brajard.bsky.social #climate #AI #forecasting
This special collection will build upon a workshop at #EGU25.
🗓️31st Oct 2025
ℹ️https://bit.ly/4k09cBu
@brajard.bsky.social #climate #AI #forecasting
August 8, 2025 at 10:02 AM
📢 CALL FOR PAPERS: Connecting Data-Driven and Physical Approaches: Application to Climate Modeling and Earth System Observation
This special collection will build upon a workshop at #EGU25.
🗓️31st Oct 2025
ℹ️https://bit.ly/4k09cBu
@brajard.bsky.social #climate #AI #forecasting
This special collection will build upon a workshop at #EGU25.
🗓️31st Oct 2025
ℹ️https://bit.ly/4k09cBu
@brajard.bsky.social #climate #AI #forecasting
Discover Environmental Data Science, an #OpenAccess journal focused on #data-driven methods for studying #environmental processes like #climatechange & supporting sustainable decision-making.
Check out our 2024 metrics and learn more at: https://bit.ly/47aNIht
#datascience
Check out our 2024 metrics and learn more at: https://bit.ly/47aNIht
#datascience
August 6, 2025 at 10:02 AM
Discover Environmental Data Science, an #OpenAccess journal focused on #data-driven methods for studying #environmental processes like #climatechange & supporting sustainable decision-making.
Check out our 2024 metrics and learn more at: https://bit.ly/47aNIht
#datascience
Check out our 2024 metrics and learn more at: https://bit.ly/47aNIht
#datascience
See our call for papers for more info on how to submit your manuscript to the special collection:
🗓️ 2nd February 2026
ℹ️ bit.ly/4majLmA
Guest Editors: Yuzhou Chen and Emre Eftelioglu
@AI4Good @kdd_news #KDD2025 #AI #Climate
🗓️ 2nd February 2026
ℹ️ bit.ly/4majLmA
Guest Editors: Yuzhou Chen and Emre Eftelioglu
@AI4Good @kdd_news #KDD2025 #AI #Climate
August 5, 2025 at 12:59 PM
See our call for papers for more info on how to submit your manuscript to the special collection:
🗓️ 2nd February 2026
ℹ️ bit.ly/4majLmA
Guest Editors: Yuzhou Chen and Emre Eftelioglu
@AI4Good @kdd_news #KDD2025 #AI #Climate
🗓️ 2nd February 2026
ℹ️ bit.ly/4majLmA
Guest Editors: Yuzhou Chen and Emre Eftelioglu
@AI4Good @kdd_news #KDD2025 #AI #Climate
Environmental Data Science is excited to partner with AI for Good Fragile Earth workshop at the #KDD2025 conference with a special collection of papers on AI for Climate Risk Mitigation.
View our collection of papers from previous worskhops here: https://bit.ly/4lUKSBM
#AI #Climate
View our collection of papers from previous worskhops here: https://bit.ly/4lUKSBM
#AI #Climate
August 5, 2025 at 12:57 PM
Environmental Data Science is excited to partner with AI for Good Fragile Earth workshop at the #KDD2025 conference with a special collection of papers on AI for Climate Risk Mitigation.
View our collection of papers from previous worskhops here: https://bit.ly/4lUKSBM
#AI #Climate
View our collection of papers from previous worskhops here: https://bit.ly/4lUKSBM
#AI #Climate
📢 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
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
April 15, 2025 at 8:14 PM
📢 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
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
Data paper!
Methodological approaches to identifying & mapping fields of specific crops on a basis of high-resolution satellite images:
doi.org/10.1017/eds....
Natalia Efremova @qmul.ac.uk & co apply new methods to open dataset deriving from USDA and Bulgaria.
#AI #RemoteSensing #Agriculture
Methodological approaches to identifying & mapping fields of specific crops on a basis of high-resolution satellite images:
doi.org/10.1017/eds....
Natalia Efremova @qmul.ac.uk & co apply new methods to open dataset deriving from USDA and Bulgaria.
#AI #RemoteSensing #Agriculture
February 5, 2025 at 9:07 PM
Data paper!
Methodological approaches to identifying & mapping fields of specific crops on a basis of high-resolution satellite images:
doi.org/10.1017/eds....
Natalia Efremova @qmul.ac.uk & co apply new methods to open dataset deriving from USDA and Bulgaria.
#AI #RemoteSensing #Agriculture
Methodological approaches to identifying & mapping fields of specific crops on a basis of high-resolution satellite images:
doi.org/10.1017/eds....
Natalia Efremova @qmul.ac.uk & co apply new methods to open dataset deriving from USDA and Bulgaria.
#AI #RemoteSensing #Agriculture
Recent article!
Time series predictions in unmonitored sites: a survey of #MachineLearning techniques in #water #resources
doi.org/10.1017/eds....
Jared D. Willard and colleagues @berkeleylab.lbl.gov, University of Pittsburgh & University of Minnesota Twin Cities
#DeepLearning #TransferLearning
Time series predictions in unmonitored sites: a survey of #MachineLearning techniques in #water #resources
doi.org/10.1017/eds....
Jared D. Willard and colleagues @berkeleylab.lbl.gov, University of Pittsburgh & University of Minnesota Twin Cities
#DeepLearning #TransferLearning
February 5, 2025 at 2:35 PM
Recent article!
Time series predictions in unmonitored sites: a survey of #MachineLearning techniques in #water #resources
doi.org/10.1017/eds....
Jared D. Willard and colleagues @berkeleylab.lbl.gov, University of Pittsburgh & University of Minnesota Twin Cities
#DeepLearning #TransferLearning
Time series predictions in unmonitored sites: a survey of #MachineLearning techniques in #water #resources
doi.org/10.1017/eds....
Jared D. Willard and colleagues @berkeleylab.lbl.gov, University of Pittsburgh & University of Minnesota Twin Cities
#DeepLearning #TransferLearning