Interested in next-gen prediction, data-driven modelling, and integrating #machinelearning with physical #science? Join us for the 8th WMO #Symposium on #DataAssimilation in Nanjing, China (31 Aug–4 Sep 2026) and submit your #abstract by 28 Feb. Read more:
https://bit.ly/4byzPfl

Interested in next-gen prediction, data-driven modelling, and integrating #machinelearning with physical #science? Join us for the 8th WMO #Symposium on #DataAssimilation in Nanjing, China (31 Aug–4 Sep 2026) and submit your #abstract by 28 Feb. Read more:
https://bit.ly/4byzPfl

If you missed the first workshop last year, don't miss the second! #noaaepic #cadre #dataassimilation

Annual Seminar 2026 Advancing the assimilation of Earth system observations with new methodology and Machine Learning Data Assimilation continues to underpin all operational weather forecasting, initialising physics-based models as well as initialising and training data-driven models. The 2026 Annual Seminar will look at how the deployment of Machine Learning (ML) technology and innovative methodology is changing the way we assimilate observations for numerical weather prediction, atmospheric composition and...

ECMWF annual seminar 2026 is on "Advancing the assimilation of Earth system observations with new methodology and Machine Learning"

Registration is open:
https://events.ecmwf.int/event/513/overview

#DataAssimilation #MachineLearning #NWP #WeatherForecasting

Physically consistent global atmospheric data assimilation with machine learning in latent space.
Bai, Lei et al.
Paper
Details
#DataAssimilation #LatentSpaceML #AtmosphericScience

....Tristan Quaife, Wolfgang Knorr)
🖥 D&B Terrestrial Biosphere Model & TCCAS hands-on sessions (Michael Vossbeck, Songyan Zhu)

🙏 Thanks to all trainers & ESA Network of Resources Initiative for supporting this hands-on learning!

#CarbonCycle #DataAssimilation @drhollycroft.bsky.social

Sea ice data assimilation in ORAS6 Abstract. Accurate weather and climate forecasting relies heavily on the precise modeling of sea ice, a critical component of the Earth's climate system. Sea ice influences global weather patterns, ocean circulation, and the exchange of heat and moisture between the atmosphere and oceans. Initialisation of the sea ice component of global coupled models relies on data assimilation techniques to incorporate information from observations to constrain the system. This study focuses on the development of sea ice data assimilation for ECMWF’s latest Ocean Reanalysis System 6 (ORAS6) that includes a multicategory sea ice model. The research addresses the challenge of appropriately distributing sea ice concentration increments across various thickness categories in the model. Here, we show that using a simple proportional increment splitting method improves the accuracy of sea ice concentration analyses compared to previous approaches. Our findings indicate that adding an additional sea ice-sea water temperature balance brings further performance benefits. These results suggest that the choice of increment distribution strategy significantly impacts the accuracy of sea ice representation in reanalysis systems. The system presented here will form the basis of ECMWF's data assimilation system for numerical weather prediction, as well as the next generation coupled reanalyses.

Anyone want to read (or review) our latest paper on #SeaIce #DataAssimilation?

It has just appeared in preprint here egusphere.copernicus.org/preprints/2025/egusphere...

Get it while it's (not) hot

Physical‑Domain Lagrangian‑Eulerian Data Assimilation Boosts Arctic Ice Modeling

A new study shows moving Lagrangian‑Eulerian data assimilation to the physical domain reduces RMSE and raises pattern correlation for Arctic sea‑ice modeling. getnews.me/physical-domain-lagrangi... #arctic #seaice #dataassimilation

Postdoctoral researcher (f_m_x) in paleomagnetism - Potsdam, Germany - www.earthworks-jobs.com/jobs/gfz250811 #jobs #postdoc #paleomagnetism #geophysics #physics #geosciences #DataAssimilation #NumericalSimulations

Harnessing Ensembles from Paleoclimate Data Assimilation In March of this year, I published an article (together with Greg Hakim, Feng Zhu, Frederi Viens and Dan Amrhein) that introduced a new set…

An informal recount of a recent study in JClim: medium.com/cyberpaleo/h...
#paleoclimate #python #dataassimilation #climatechange

CARDAMOM fuses satellites, field data, and models to better understand & predict ecosystem change. 🚀

#CarbonCycle #EcosystemModeling #DataAssimilation

Led by @baskinengineering.bsky.social PhD students Niloofar & Lenny with Tianning Wu & Roy He @ncstate.bsky.social

If you're working on GenAI for Earth systems, let’s connect — curious to hear your thoughts!
#GenAI #ClimateAI #OceanML #FNO #DDPM #DataAssimilation

We're pleased to release DIFFICE-jax v1.0, the foundation of our Science paper and a #DIFFerentiable #NeuralNetwork solver for #DataAssimilation of ICE shelves written in #JAX:
🔗Docs: diffice-jax.readthedocs.io/en/latest/in...
📄Peer-reviewed by JOSS #OpenSource: joss.theoj.org/papers/10.21...

Today & tomorrow, we're having the annual #EXPECT (EXplaining and PrEdiCTing the #weather & #climate) General Assembly (GA). Today, I gave a talk at the EXPECT GA, entitled "Soil-moisture #DataAssimilation in Europe". #LandSurfaceModeling @expect-project.bsky.social @ncas-uk.bsky.social

New preprint! We introduce an automatic optical depth parametrization in RTTOV v13 using LASSO-induced sparsity.
⚡️ Faster
🎯 Accurate
🛰️ Optimized for satellite data assimilation
Read more:
egusphere.copernicus.org/preprints/20...

#DataAssimilation #RTTOV #LASSO #RemoteSensing

During today, at the #DataAssimilation Workshop, hear from @meteofrance.com's Vincent Chabot at 11:30 CEST. He will talk about “Machine Learning for Data Assimilation at Météo-France”.

Watch here 👉 ecmwfevents.com/i/data-assim...

#OneECMWF

🧵

Emblem of ECMWF showing 35 Member State flags and the number 50 for its 50th anniversary

It's day 3 of our anniversary week in Bonn, Germany.
The @copernicusecmwf.bsky.social workshop and Annual Seminar continue, and other workshops start:
• Workshop on ancillary data
• Workshop on surface process coupling
• Workshop on #DataAssimilation

For more ➡️ www.ecmwf.int/en/about/med...

Looking for a research post in #SpaceWeather #DataAssimilation? We have an open opportunity with only 4 more days until the application submission deadline!

Today, I'm giving a talk at the University of Reading entitled "Data assimilation of soil properties for the region of Europe"! #DataAssimilation #SoilScience #ClimateScience #EXPECT @expect-project.bsky.social #NCAS @ncas-uk.bsky.social @uniofreading.bsky.social

#DataAssimilation techniques and the #JULES model work together to improve soil moisture estimates and enhance climate predictions.

Want to find out how?

Read our interview with @mcguirepatrick.bsky.social
from the University of Reading 👉 expect-project.eu/news/land-su...

#ClimateScience #Soil

Associate Project Scientist - CASPO Division (SIO) - La Jolla, CA, USA - www.earthworks-jobs.com/marine/ucsd2... #jobs #AtmosphericSciences #DataAssimilation #ImpactStudies #AtmosphericRivers #ExtremePrecipitation

JCSDA's Q3 Review Highlights Exciting Progress and New Projects — JCSDA On January 23rd the JCSDA team met with our partners at NASA, NOAA, US Navy, US Air Force, and the UK Met Office to review the last three months of accomplishments and discuss goals for the upcoming q...

The JCSDA team met with our partners to review the last three months of accomplishments and discuss goals for the upcoming quarter, and year!

www.jcsda.org/news-blog/20...

#weather #atmosphericscience #dataassimilation #spaceweather @noaa.gov

What does JULES stand for? Research scientist @mcguirepatrick.bsky.social at the University of Reading shares insights on how #DataAssimilation & #JULES are enhancing climate science!

Discover how his research improves soil moisture predictions in the European region 👉 bit.ly/3X6sNq2

#dataassimilation #oceanscience #coupledDA #UCAR

Data Assimilation: The secret to better weather forecasts YouTube video by DARE Project

Hello Bluesky! Ever wondered what #DataAssimilation is all about? See our video on the secret to better weather forecasts. youtu.be/YPAWYjPf_Pk

🌩️ The University of Oklahoma will lead a $6.6M NOAA consortium to enhance weather forecasting through advanced data assimilation, supporting workforce development and innovation. 🌪️💡 #ou #noaa #weatherforecasting #dataassimilation #meteorology

Source- tinyurl.com/zkrs9nyy