Reposted
Major TOM Google DeepMind's AlphaEarth Embeddings are now on @hf.co ! 🚀
A new 6 TB prototype dataset for the community. Get it here: huggingface.co/datasets/Maj...
#EarthEngine #AlphaEarth
A new 6 TB prototype dataset for the community. Get it here: huggingface.co/datasets/Maj...
#EarthEngine #AlphaEarth
August 22, 2025 at 5:28 AM
Major TOM Google DeepMind's AlphaEarth Embeddings are now on @hf.co ! 🚀
A new 6 TB prototype dataset for the community. Get it here: huggingface.co/datasets/Maj...
#EarthEngine #AlphaEarth
A new 6 TB prototype dataset for the community. Get it here: huggingface.co/datasets/Maj...
#EarthEngine #AlphaEarth
Reposted
📢 FLAIR-HUB dataset
A new large-scale, multimodal dataset for land cover and crop type mapping
🤗 Dataset: huggingface.co/datasets/IGN...
📄 Preprint: arxiv.org/abs/2506.07080
🤗 Pretrained models: huggingface.co/collections/...
💻 Code: github.com/IGNF/FLAIR-HUB
🌐 Project : arxiv.org/abs/2506.07080
A new large-scale, multimodal dataset for land cover and crop type mapping
🤗 Dataset: huggingface.co/datasets/IGN...
📄 Preprint: arxiv.org/abs/2506.07080
🤗 Pretrained models: huggingface.co/collections/...
💻 Code: github.com/IGNF/FLAIR-HUB
🌐 Project : arxiv.org/abs/2506.07080
FLAIR-HUB: Large-scale Multimodal Dataset for Land Cover and Crop Mapping
The growing availability of high-quality Earth Observation (EO) data enables accurate global land cover and crop type monitoring. However, the volume and heterogeneity of these datasets pose major pro...
arxiv.org
June 11, 2025 at 2:00 PM
📢 FLAIR-HUB dataset
A new large-scale, multimodal dataset for land cover and crop type mapping
🤗 Dataset: huggingface.co/datasets/IGN...
📄 Preprint: arxiv.org/abs/2506.07080
🤗 Pretrained models: huggingface.co/collections/...
💻 Code: github.com/IGNF/FLAIR-HUB
🌐 Project : arxiv.org/abs/2506.07080
A new large-scale, multimodal dataset for land cover and crop type mapping
🤗 Dataset: huggingface.co/datasets/IGN...
📄 Preprint: arxiv.org/abs/2506.07080
🤗 Pretrained models: huggingface.co/collections/...
💻 Code: github.com/IGNF/FLAIR-HUB
🌐 Project : arxiv.org/abs/2506.07080
Reposted
🔥 The AMLEC Challenge is now live!
💻 Join us in our efforts to accelerate climate modeling ➡️ huggingface.co/datasets/isp...
📅 Until June 30.
ℹ️ This challenge is a part of #ECMLPKDD2025 (@ecmlpkdd.org): ecmlpkdd.org/2025/submiss...
#machinelearning #ml #DiscoveryChallenge2025
💻 Join us in our efforts to accelerate climate modeling ➡️ huggingface.co/datasets/isp...
📅 Until June 30.
ℹ️ This challenge is a part of #ECMLPKDD2025 (@ecmlpkdd.org): ecmlpkdd.org/2025/submiss...
#machinelearning #ml #DiscoveryChallenge2025
April 24, 2025 at 7:05 AM
🔥 The AMLEC Challenge is now live!
💻 Join us in our efforts to accelerate climate modeling ➡️ huggingface.co/datasets/isp...
📅 Until June 30.
ℹ️ This challenge is a part of #ECMLPKDD2025 (@ecmlpkdd.org): ecmlpkdd.org/2025/submiss...
#machinelearning #ml #DiscoveryChallenge2025
💻 Join us in our efforts to accelerate climate modeling ➡️ huggingface.co/datasets/isp...
📅 Until June 30.
ℹ️ This challenge is a part of #ECMLPKDD2025 (@ecmlpkdd.org): ecmlpkdd.org/2025/submiss...
#machinelearning #ml #DiscoveryChallenge2025
Reposted
#Science #Climat
"L'#IA et les #mathématiques pour la météorologie et la climatologie"
🖥️ Les vidéos du colloque organisé par les Prs Stéphane Mallat et Pierre-Louis Lions, sont disponibles.
👉 www.college-de-france.fr/fr/agenda/gr...
"L'#IA et les #mathématiques pour la météorologie et la climatologie"
🖥️ Les vidéos du colloque organisé par les Prs Stéphane Mallat et Pierre-Louis Lions, sont disponibles.
👉 www.college-de-france.fr/fr/agenda/gr...
May 22, 2025 at 7:44 AM
#Science #Climat
"L'#IA et les #mathématiques pour la météorologie et la climatologie"
🖥️ Les vidéos du colloque organisé par les Prs Stéphane Mallat et Pierre-Louis Lions, sont disponibles.
👉 www.college-de-france.fr/fr/agenda/gr...
"L'#IA et les #mathématiques pour la météorologie et la climatologie"
🖥️ Les vidéos du colloque organisé par les Prs Stéphane Mallat et Pierre-Louis Lions, sont disponibles.
👉 www.college-de-france.fr/fr/agenda/gr...
Reposted
A new paper published in Nature explains how Microsoft’s Aurora AI foundation model goes beyond weather forecasting to more accurately predict a range of environmental events, from hurricanes and typhoons to air quality and ocean waves. aka.ms/AAvgi2k
Microsoft’s Aurora AI foundation model goes beyond weather forecasting
Aurora, an AI foundation revolutionizes weather and environmental forecasting with accuracy, speed and efficiency.
aka.ms
May 21, 2025 at 3:14 PM
A new paper published in Nature explains how Microsoft’s Aurora AI foundation model goes beyond weather forecasting to more accurately predict a range of environmental events, from hurricanes and typhoons to air quality and ocean waves. aka.ms/AAvgi2k
Reposted
New paper alert! 🚨📢
Weather impacts on #drone #photogrammetry:
- seasonal and weather effects on accuracy
- canopy height model and DEMs evaluated
- reference #lidar dataset with #dGPS control points
with @linegreis.bsky.social
#UAV #forest #remotesensing
dx.doi.org/10.1111/avsc...
Weather impacts on #drone #photogrammetry:
- seasonal and weather effects on accuracy
- canopy height model and DEMs evaluated
- reference #lidar dataset with #dGPS control points
with @linegreis.bsky.social
#UAV #forest #remotesensing
dx.doi.org/10.1111/avsc...
Seasonal optimisation of drone‐based photogrammetry in a heterogeneous boreal landscape
In this study we show how weather and flight parameters affect photogrammetric surveys from drones. Using a commercial (off-the-shelf) drone we surveyed a mixed boreal forest site in summer, autumn a...
dx.doi.org
July 23, 2024 at 10:57 AM
New paper alert! 🚨📢
Weather impacts on #drone #photogrammetry:
- seasonal and weather effects on accuracy
- canopy height model and DEMs evaluated
- reference #lidar dataset with #dGPS control points
with @linegreis.bsky.social
#UAV #forest #remotesensing
dx.doi.org/10.1111/avsc...
Weather impacts on #drone #photogrammetry:
- seasonal and weather effects on accuracy
- canopy height model and DEMs evaluated
- reference #lidar dataset with #dGPS control points
with @linegreis.bsky.social
#UAV #forest #remotesensing
dx.doi.org/10.1111/avsc...
Reposted
Hydrology Paper of the Day @rodolfonobrega.bsky.social on extending the MOD16 evapotranspiration algorithm for MODIS: an improvement of spatiotemporal resolutions via the ESTIMET algorithm; day and night ET over all sky conditions; a comparison with EC data over Brazil; and spatial comparisons.
In times of AI we show how some robust tweaks can greatly improve well established ET models. It was a pleasure to have Cinthia in Bristol and discuss every step of this research! www.sciencedirect.com/science/arti...
ESTIMET: Enhanced and Spatial-Temporal Improvement of MODIS EvapoTranspiration algorithm for all sky conditions in tropical biomes
We developed an ET model, namely the Enhanced and Spatial-Temporal Improvement of MODIS EvapoTranspiration (ESTIMET), for local-to-regional ET monitor…
www.sciencedirect.com
May 3, 2025 at 3:29 AM
Hydrology Paper of the Day @rodolfonobrega.bsky.social on extending the MOD16 evapotranspiration algorithm for MODIS: an improvement of spatiotemporal resolutions via the ESTIMET algorithm; day and night ET over all sky conditions; a comparison with EC data over Brazil; and spatial comparisons.
Reposted
While Appa is still a prototype, it demonstrates the potential of latent score-based data assimilation for global atmospheric modeling. Huge congrats to @gandry.bsky.social for leading this work and to everyone on our amazing team for this effort!
Paper: arxiv.org/abs/2504.18720
Paper: arxiv.org/abs/2504.18720
Appa: Bending Weather Dynamics with Latent Diffusion Models for Global Data Assimilation
Deep learning has transformed weather forecasting by improving both its accuracy and computational efficiency. However, before any forecast can begin, weather centers must identify the current atmosph...
arxiv.org
April 29, 2025 at 4:48 AM
While Appa is still a prototype, it demonstrates the potential of latent score-based data assimilation for global atmospheric modeling. Huge congrats to @gandry.bsky.social for leading this work and to everyone on our amazing team for this effort!
Paper: arxiv.org/abs/2504.18720
Paper: arxiv.org/abs/2504.18720
Reposted
What's behind ERA Explorer's speed? Meet the ZARR archive! 🚀 ZARR revolutionises data processing, enabling fast, efficient access to over 80 years of climate data.
Test out its speed 👉 era-explorer.climate.copernicus.eu?lat=50.86&ln...
#C3S @zarr.dev #beautifuldata
Test out its speed 👉 era-explorer.climate.copernicus.eu?lat=50.86&ln...
#C3S @zarr.dev #beautifuldata
March 20, 2025 at 12:57 PM
What's behind ERA Explorer's speed? Meet the ZARR archive! 🚀 ZARR revolutionises data processing, enabling fast, efficient access to over 80 years of climate data.
Test out its speed 👉 era-explorer.climate.copernicus.eu?lat=50.86&ln...
#C3S @zarr.dev #beautifuldata
Test out its speed 👉 era-explorer.climate.copernicus.eu?lat=50.86&ln...
#C3S @zarr.dev #beautifuldata
Reposted
Hey meteorologists! University of Wyoming upgraded their upper-air sounding web site for more stability.
www.weather.uwyo.edu/upperair/sou...
Big thanks!
www.weather.uwyo.edu/upperair/sou...
Big thanks!
March 27, 2025 at 5:50 PM
Hey meteorologists! University of Wyoming upgraded their upper-air sounding web site for more stability.
www.weather.uwyo.edu/upperair/sou...
Big thanks!
www.weather.uwyo.edu/upperair/sou...
Big thanks!
Reposted
🌤️ Our #AI weather forecasting model has been published today in Nature 🤖
🥇the first AI weather model to learn directly from raw environmental observations
🌎 compared to existing AI models it is cheaper to train, uses less carbon and easier to deploy locally
www.turing.ac.uk/news/fully-a...
🥇the first AI weather model to learn directly from raw environmental observations
🌎 compared to existing AI models it is cheaper to train, uses less carbon and easier to deploy locally
www.turing.ac.uk/news/fully-a...
Fully AI driven weather prediction system could start revolution in forecasting
A new AI weather prediction system, Aardvark Weather, can deliver accurate forecasts tens of times faster and using thousands of times less computing power t
www.turing.ac.uk
March 20, 2025 at 4:26 PM
🌤️ Our #AI weather forecasting model has been published today in Nature 🤖
🥇the first AI weather model to learn directly from raw environmental observations
🌎 compared to existing AI models it is cheaper to train, uses less carbon and easier to deploy locally
www.turing.ac.uk/news/fully-a...
🥇the first AI weather model to learn directly from raw environmental observations
🌎 compared to existing AI models it is cheaper to train, uses less carbon and easier to deploy locally
www.turing.ac.uk/news/fully-a...
Reposted
Hello Bluesky! We're DataStream, Canada's leading open access platform for sharing water data.
***
Bonjour Bluesky ! Nous sommes DataStream, la première plateforme en accès libre au Canada pour le partage des données sur les eaux.
***
Bonjour Bluesky ! Nous sommes DataStream, la première plateforme en accès libre au Canada pour le partage des données sur les eaux.
Home - DataStream
DataStream brings people and data together to protect fresh water. Our mission is to promote knowledge sharing and collaboration so our waters remain healthy for generations to come.
datastream.org
March 6, 2025 at 9:13 PM
Hello Bluesky! We're DataStream, Canada's leading open access platform for sharing water data.
***
Bonjour Bluesky ! Nous sommes DataStream, la première plateforme en accès libre au Canada pour le partage des données sur les eaux.
***
Bonjour Bluesky ! Nous sommes DataStream, la première plateforme en accès libre au Canada pour le partage des données sur les eaux.
Reposted
Read more about these papers on the Ai2 blog (allenai.org/blog/ai2-cli...), and check out ACE2 on GH github.com/ai2cm/ace
GitHub - ai2cm/ace: Ai2 Climate Emulator
Ai2 Climate Emulator. Contribute to ai2cm/ace development by creating an account on GitHub.
github.com
December 11, 2024 at 12:26 AM
Read more about these papers on the Ai2 blog (allenai.org/blog/ai2-cli...), and check out ACE2 on GH github.com/ai2cm/ace
Reposted
🚀This week was huge for AI—whether through sparse attention, mastering long-context reasoning, or even creating million-dollar software engineering gigs, it's all about smarter, more efficient models shaping a dynamic future.🚨
February 22, 2025 at 9:08 PM
🚀This week was huge for AI—whether through sparse attention, mastering long-context reasoning, or even creating million-dollar software engineering gigs, it's all about smarter, more efficient models shaping a dynamic future.🚨
Reposted
Need a distraction of playing with beautiful data? Our Observations Portal displays all the live data from our #gliders: observations.voiceoftheocean.org - or you could dive into the full datasets via the Dashboard tab 🌊
Video shows 4 years of temperature data from the Bornholm Basin observatory.
Video shows 4 years of temperature data from the Bornholm Basin observatory.
February 12, 2025 at 1:15 PM
Need a distraction of playing with beautiful data? Our Observations Portal displays all the live data from our #gliders: observations.voiceoftheocean.org - or you could dive into the full datasets via the Dashboard tab 🌊
Video shows 4 years of temperature data from the Bornholm Basin observatory.
Video shows 4 years of temperature data from the Bornholm Basin observatory.
Reposted
New notebook in Drifters.jl that computes trajectories from NASA's OSCAR data assimilative model.
juliaclimate.github.io/Drifters.jl/...
youtu.be/RZINMlXc_fA?...
juliaclimate.github.io/Drifters.jl/...
youtu.be/RZINMlXc_fA?...
Ocean pathway estimation using Drifter.jl and Oscar flow fields
YouTube video by JuliaOcean
youtu.be
February 17, 2025 at 9:15 PM
New notebook in Drifters.jl that computes trajectories from NASA's OSCAR data assimilative model.
juliaclimate.github.io/Drifters.jl/...
youtu.be/RZINMlXc_fA?...
juliaclimate.github.io/Drifters.jl/...
youtu.be/RZINMlXc_fA?...
Reposted
Tired of paying #apc to publish, or watching colleagues being blocked by APCs? Interested in making your journal free to publish according to #diamondoa principles? #edch will guide you every step of the way to Diamond open access […]
Original post on mastodon.social
mastodon.social
January 27, 2025 at 9:18 AM
Tired of paying #apc to publish, or watching colleagues being blocked by APCs? Interested in making your journal free to publish according to #diamondoa principles? #edch will guide you every step of the way to Diamond open access […]
Reposted
Can incorporating AI improve precipitation in global weather and climate models?
Yes! In the latest NeuralGCM paper, we show that training on satellite-based precipitation results in significant improvements over traditional atmospheric models:
arxiv.org/abs/2412.11973
Yes! In the latest NeuralGCM paper, we show that training on satellite-based precipitation results in significant improvements over traditional atmospheric models:
arxiv.org/abs/2412.11973
Neural general circulation models optimized to predict satellite-based precipitation observations
Climate models struggle to accurately simulate precipitation, particularly extremes and the diurnal cycle. Here, we present a hybrid model that is trained directly on satellite-based precipitation obs...
arxiv.org
December 19, 2024 at 8:34 PM
Can incorporating AI improve precipitation in global weather and climate models?
Yes! In the latest NeuralGCM paper, we show that training on satellite-based precipitation results in significant improvements over traditional atmospheric models:
arxiv.org/abs/2412.11973
Yes! In the latest NeuralGCM paper, we show that training on satellite-based precipitation results in significant improvements over traditional atmospheric models:
arxiv.org/abs/2412.11973
Reposted
So excited to share our Google DeepMind team's new Nature paper on GenCast, an ML-based probabilistic weather forecasting model: www.nature.com/articles/s41...
It represents a substantial step forward in how we predict weather and assess the risk of extreme events. 🌪️🧵
It represents a substantial step forward in how we predict weather and assess the risk of extreme events. 🌪️🧵
Probabilistic weather forecasting with machine learning - Nature
GenCast, a probabilistic weather model using artificial intelligence for weather forecasting, has greater skill and speed than the top operational medium-range weather forecast in the world and provid...
www.nature.com
December 10, 2024 at 11:00 AM
So excited to share our Google DeepMind team's new Nature paper on GenCast, an ML-based probabilistic weather forecasting model: www.nature.com/articles/s41...
It represents a substantial step forward in how we predict weather and assess the risk of extreme events. 🌪️🧵
It represents a substantial step forward in how we predict weather and assess the risk of extreme events. 🌪️🧵