Built a demo agent for ERA5 on @earthmover.io Arraylake: fast slice access means you can retrieve, iterate & visualize without the coffee breaks. Eurus supports NL→retrieval+analysis, CLI/web/MCP, and a Python REPL (pandas/xarray/cartopy). Video below. Repo+HF: lnkd.in/deQMCNmH lnkd.in/dAbhnKSr

GitHub - introocean/introocean-en: Introduction to Physical Oceanography by R. Stewart Introduction to Physical Oceanography by R. Stewart - introocean/introocean-en

"Introduction to Physical Oceanography" by R. Stewart is now on GitHub. Free for everyone as it always was.

github.com/introocean/i...

Pleased to share our Year of Polar Prediction (YOPP) synthesis paper on achievements, impacts, and lessons learned — and what’s next for polar prediction.
journals.ametsoc.org/view/journal...

Taming the Petabytes: Making km-scale climate data usable - EERIE In the past few years, climate modeling has taken a remarkable leap forward, especially with the development of km-scale Earth system models (ESMs). These

'Taming the Petabytes' — A story on how our colleagues with the DKRZ have made km-scale climate data usable.

Read on and learn more about a strategy combining virtual datasets, a cloud storage emulator, and a flexible cataloging framework.

↪️ eerie-project.eu/blog/2025/12...

#ClimateResearchNet

🌐 It's the EGU time of the year again!

The @egu.eu General Assembly 2025 will feature an extensive participation by #EERIEproject researchers. We’ve put together all the sessions in which they’ll participate and the posters they’ll have displayed.

Read below! ⤵️
eerie-project.eu/news/2025/04...

💼 Looking for a #job? We're #hiring!

The @awi.de is seeking to employ a skilled and motivated Scientist with expertise in Python programming and a solid background in oceanic, atmospheric or climate dynamics.

➡️ Check all the details on our website: eerie-project.eu/job-applicat...

Accelerating Earth Science Discovery via Multi-Agent LLM Systems This Perspective explores the transformative potential of Multi-Agent Systems (MAS) powered by Large Language Models (LLMs) in the geosciences. Users of geoscientific data repositories face challenges...

How will interaction with geophysical data evolve in the age of AI? 🤖🌍

In our latest preprint, we explore this question - not just conceptually, but with a hands-on prototype using the PANGAEA archive. Check it out!

arxiv.org/abs/2503.05854

🚨 Last chance to submit your application! 🚨

🌊 Scientist in High-Resolution Sea Ice Modeling
🔗 jobs.awi.de/Vacancies/19...

🧠 Scientist in AI-based Emulation for High-Resolution Sea Ice Modeling
🔗 jobs.awi.de/Vacancies/19...

Please share! 🧪❄️🌍 #ScienceJobs #SeaIce #AI

At AWI, we contribute to the EU #DestinationEarth (#DestinE) initiative with storyline simulations and more. These storylines explore how extreme weather events – like the 2019 Paris heatwave or the 2024 European floods – could unfold in different climate scenarios, like in a 2ºC warmer world.

🌍🌐 What if we could replay recent extreme weather under different climate conditions? With storyline simulations in the EU’s #DestinE initiative, scientists are reconstructing past, present, and future extreme weather to help us adapt to climate change. Learn more ➡️ destine.ecmwf.int/news/replayi...

This image is a global visualization of aerosol distributions on September 5, 2020, at 00:00 UTC. It represents different types of aerosols using a color-coded scheme: • Red represents dust (du), primarily visible over arid regions like the Sahara Desert and extending into the Atlantic. • Blue indicates sea salt (ss), prominent over the oceans, particularly in stormy regions. • Green signifies carbonaceous aerosol (ca), which is associated with biomass burning and pollution, visible over regions like the Amazon, Central Africa, and parts of Southeast Asia. • Yellow shows sulfuric aerosol (su), often linked to volcanic emissions and industrial activity. The image is overlaid on a world map with latitude and longitude markers. The transparency of the colors varies to indicate concentration levels, with fully transparent areas representing minimal aerosol presence and fully opaque areas representing maximum concentrations. The right-hand legend provides a scale for interpreting the aerosol concentrations in milligrams per square meter.

Preprint summarizing the first results from the nextGEMS project, which prepares several coupled models to run at kilometer scale: egusphere.copernicus.org/preprints/20... 🧪

Happy to share our latest paper, which summarizes the key outcomes of the Year of Polar Prediction (YOPP)—a decade-long international effort (2013–2022) led by the WMO’s World Weather Research Programme.

Read the full paper here: journals.ametsoc.org/view/journal...

🚨 Job Alert! 🚨

Our team is hiring for the @terradt.bsky.social project.

🌊 Scientist in High-Resolution Sea Ice Modeling
🔗 jobs.awi.de/Vacancies/19...

🧠 Scientist in AI-based Emulation for High-Resolution Sea Ice Modeling
🔗 jobs.awi.de/Vacancies/19...

Please share! 🧪❄️🌍 #ScienceJobs #SeaIce #AI

#EERIE25 General Assembly summary YouTube video by EERIE Project

Thanks to the Swiss knives purchased during our time in #Zürich🇨🇭 for the #EERIE25 General Assembly, we've managed to slice and squeeze a three-day meeting into a 4-minute video summary 📹

▶️ Whether you attended or not, this you should not miss! www.youtube.com/watch?v=DezJ...

This is the description of our km-scale coupled climate model configuration. A lot of details in a thread from @trackow.bsky.social 🧪

New webpage gives a concise overview of the Destination Earth (DestinE) digital twin on Climate Change Adaptation (Climate DT) and its functionalities, models, simulations and how to access data via the DestinE Platform.
destine.ecmwf.int/climate-chan...

Starting in 90 mins!👇
Info + link: eerie-project.eu/event/storms...
#ClimateResearchNet

Our work will also be (remotely) presented at #AGU24 !

agu.confex.com/agu/agu24/me...

Dec 11, 01:30pm - 02:30pm (Central Time)
Dec 12, 07:30am - 08:30am (Central Time)

Looking forward to present our recent storyline work on extreme hydological events in fall 2024

Wind over the Atlantic from a 5 km resolution model. Different surface types interact with wind in unique ways, which is why the continents are distinctly visible in the wind field. 🧪

Model: IFS-FESOM | U component of the wind | Project: nextGEMS | Simulations: @trackow.bsky.social
#SciArt

In 2023, global mean temperature approached 1.5K above pre-industrial levels, with our study suggesting that a record-low planetary albedo—driven by declining low-cloud cover—helps explain the unexplained portion of the warming beyond (expected) anthropogenic influences and El Niño.

AI-based weather models: promising future supporting climate science AI-based weather models have made transformational progress in the last years. Find out more in a preprint paper co-authored by ECMWF and AWI.

This is joint work with many colleagues from @ecmwf.bsky.social, including @clessig.bsky.social @xpedruzo.bsky.social @jesper.drams.ch
@fpappenberger.bsky.social,and #AWI colleagues
@oceanographer.bsky.social @thomasjung.bsky.social

Read more on it here destine.ecmwf.int/news/ai-base...
(7/7)

Arctic freshwater anomaly transiting to the North Atlantic delayed within a buffer zone - Nature Geoscience Freshwater being released from the Beaufort Gyre is accumulating in an Arctic Ocean buffer zone before it can reach the North Atlantic, according to an analysis of satellite observation and modelling.

🚨 Freshwater bottleneck in the Arctic? 🌊
A Beaufort Gyre freshwater release shifts to a buffer zone near Greenland, delaying Arctic freshwater flow to the North Atlantic. Implications for ocean stratification, salinity anomalies, & AMOC?

Read in Nature Geoscience: www.nature.com/articles/s41...

The maximum 2m-temperature during the peak heatwave period (July 25, 2019) over France for the different storyline experiments (top panels: a, b, c). The bottom chart illustrates the hourly maximum 2m-temperature from the different experiments for the Paris region inside the black dotted box (48.5-49°N and 2.0-3.0°E). This comparison highlights the varying intensity of the heatwave across different climates.

The storyline approach isn’t new, but for the first time, we’re using it with 10km resolution! 🌍 See how extreme events might have looked in the past, without climate change, and how they could unfold in a +2°C future. Check out our work led by Amal John: essopenarchive.org/users/852952...

🌊 Ocean currents around Antarctica from our high-resolution (3 km) ocean model. 🧪

#FESOM #SciArt

A case for open communication of bugs in climate models, made with ICON version 2024.01 Abstract. Climate models are not just numerical representations of scientific knowledge, they are also human-written software programs. As such, they contain coding mistakes, which may look mundane, b...

New class of model bugs detected: resolution-dependent bugs emerge as we transition to kilometer-scale climate models, revealing issues hidden in lower resolutions. Preprint available, thanks to work in the EU projects nextGEMS and @eerie-project.bsky.social. doi.org/10.5194/egus...

Inaugural first #BlueSky post, re-sharing our latest paper!

Still on the front page of Communications Earth & Environment 👇
doi.org/10.1038/s432...