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.
📢 CALL FOR PAPERS!
Solution-Based #DataScience for #Environmental #Biology Challenges
A special collection with @cu-esiil.bsky.social to advance data-intensive approaches to better understand today's environmental challenges
🗓️1 March-31 May 2026
ℹ️https://bit.ly/4q0b68m
#TippingPoints
Solution-Based #DataScience for #Environmental #Biology Challenges
A special collection with @cu-esiil.bsky.social to advance data-intensive approaches to better understand today's environmental challenges
🗓️1 March-31 May 2026
ℹ️https://bit.ly/4q0b68m
#TippingPoints
November 14, 2025 at 11:03 AM
📢 CALL FOR PAPERS!
Solution-Based #DataScience for #Environmental #Biology Challenges
A special collection with @cu-esiil.bsky.social to advance data-intensive approaches to better understand today's environmental challenges
🗓️1 March-31 May 2026
ℹ️https://bit.ly/4q0b68m
#TippingPoints
Solution-Based #DataScience for #Environmental #Biology Challenges
A special collection with @cu-esiil.bsky.social to advance data-intensive approaches to better understand today's environmental challenges
🗓️1 March-31 May 2026
ℹ️https://bit.ly/4q0b68m
#TippingPoints
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
Reposted by Environmental Data Science
We are Climate.us, a nonprofit successor to Climate(.)gov.
Our goal is to build an enduring, independent, and scientifically rigorous platform that the world can rely on for climate communication, education, and engagement. Stay up to date: #updatesmate.us/#updates" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">Climate.us/#updates
Our goal is to build an enduring, independent, and scientifically rigorous platform that the world can rely on for climate communication, education, and engagement. Stay up to date: #updatesmate.us/#updates" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">Climate.us/#updates
October 22, 2025 at 10:17 PM
We are Climate.us, a nonprofit successor to Climate(.)gov.
Our goal is to build an enduring, independent, and scientifically rigorous platform that the world can rely on for climate communication, education, and engagement. Stay up to date: #updatesmate.us/#updates" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">Climate.us/#updates
Our goal is to build an enduring, independent, and scientifically rigorous platform that the world can rely on for climate communication, education, and engagement. Stay up to date: #updatesmate.us/#updates" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">Climate.us/#updates
📢 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
Reposted by Environmental Data Science
We have exciting news! #CI2026 will be hosted by the École Polytechnique Fédérale de Lausanne (EPFL), in the period of April 27-30, 2026. More information in Tom Beucler's post:
www.linkedin.com/posts/tom-be...
www.linkedin.com/posts/tom-be...
Save the date! 🌍
Climate Informatics will convene researchers at the intersection of weather & climate science, statistics, and machine learning, April 27-30, 2026 on our beautiful UNIL/EPFL… | ...
Save the date! 🌍
Climate Informatics will convene researchers at the intersection of weather & climate science, statistics, and machine learning, April 27-30, 2026 on our beautiful UNIL/EPFL campus ...
www.linkedin.com
October 1, 2025 at 6:35 PM
We have exciting news! #CI2026 will be hosted by the École Polytechnique Fédérale de Lausanne (EPFL), in the period of April 27-30, 2026. More information in Tom Beucler's post:
www.linkedin.com/posts/tom-be...
www.linkedin.com/posts/tom-be...
📢 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
Reposted by Environmental Data Science
Our laboratory has an opening for 3 fully funded positions for PhD students (please see the message of my supervisor in the link).
#remotesensing #climate #SAR #lidar #biomass #PHD #PHDchat #graduatestudies
www.linkedin.com/posts/rblour...
#remotesensing #climate #SAR #lidar #biomass #PHD #PHDchat #graduatestudies
www.linkedin.com/posts/rblour...
Welcome | Ricardo Barros Lourenço
Our laboratory has an opening for 3 fully funded positions for PhD students (please see the message of my supervisor below). Note that the three areas are preferential, but this isn't a limiting crite...
www.linkedin.com
September 26, 2025 at 7:37 PM
Our laboratory has an opening for 3 fully funded positions for PhD students (please see the message of my supervisor in the link).
#remotesensing #climate #SAR #lidar #biomass #PHD #PHDchat #graduatestudies
www.linkedin.com/posts/rblour...
#remotesensing #climate #SAR #lidar #biomass #PHD #PHDchat #graduatestudies
www.linkedin.com/posts/rblour...
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
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