Top Tweets for #Dataassimilation
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://t.co/n4JFhggzdF
CiROCCO joined @eumetsat #EO cluster meeting focused on turning EU research into operational, user-ready #GreenDeal services across Europe. We shared progress on satellite aerosol modelling + #DataAssimilation. Full story: https://t.co/urkqOCbzid
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://t.co/n4JFhggzdF
Postdoctoral researcher (f_m_x) in paleomagnetism - Potsdam, Germany - https://t.co/ytbsue3yfL #jobs #postdoc #paleomagnetism #geophysics #physics #geosciences #DataAssimilation #NumericalSimulations
We're pleased to release DIFFICE-jax v1.0, the foundation of our Science paper and the first #DIFFerentiable #NeuralNetwork solver for #DataAssimilation of ICE shelves written in #JAX:
🔗Docs: https://t.co/MGWWxjfJK0
📄Peer-reviewed by JOSS #OpenSource: https://t.co/w8QSBnaySb
Finally published @ScienceMagazine:
Can AI help yield new insights from vast amounts of Earth data?
We use large-scale data and neural nets to find the constitutive laws of glacial ice, which differ from commonly assumed forms in conventional models.
https://t.co/X9wSMRkmEX
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 @UniofReading
Hi all, I'm happy to share my most recent publication: A statistical package for computing precision covariance matrices via modified Cholesky decomposition, tailored for atmospheric models like ERA5 and MPAS - https://t.co/7bGcl4Vvvf
#Elsevier #DataAssimilation #OpenSource
On the SIAM News blog, @LucasBottcher_, Tom Chou, and Maria D’Orsogna present a #DataAssimilation approach that provides near-term forecasts of U.S. drug #overdose fatalities and captures local overdose trends to inform prevention efforts. Learn more: https://t.co/RRzOnQhQUX
The April issue of SIAM News is now available! In this special issue on #ComputationalScience and #engineering, Sebastian Reich focuses on one aspect of the #DigitalTwin paradigm: the synergy between #DataAssimilation and #OptimalControl. Check it out! https://t.co/N46Na6aCdZ
✨Next SASIP Webinar on Friday, March 28 at 4 pm CET!
This month, Yue Ying from the NERSC will explore Novel #DataAssimilation Techniques to Improve #SeaIce Deformation Features ❄️
Abstract and registration 👉 https://t.co/Abjw7Lfhea
🌍 How can Data Assimilation (DA) and Machine Learning (ML) work together to improve Earth system state predictions?
🔎 The first article of #InfoGeo dives deep into this question!
📄 Full research here:
https://t.co/RFqAsG9VfC
#DataAssimilation #MachineLearning #EarthScience
What does JULES stand for? Research scientist @McGuirePatrick at @UniofReading shares insights on how #DataAssimilation & #JULES are enhancing climate science!
Discover how his research improves soil moisture predictions in the European region 👉https://t.co/6Rsbcrw2ci
In this seminar I go over 7+ years of work on our streamflow prediction system combining WRF-Hydro and DART, showcasing its performance across 3 flood scenarios & sharing key insights 🌊💡#DataAssimilation #FloodPrediction @WRFHydro @NCAR_CISL @NCAR_RAL
https://t.co/D9baiX8D1z
📡 Check out the programme for our workshop on #DataAssimilation: initial conditions and beyond ➡️ https://t.co/0AlQSqJeDF
Registration is extended to 3 January. To register and find out more about the event ➡️ https://t.co/GpJwGocqtx
#OneECMWF
Just published: How #DataAssimilation enhances #HydroJules soil moisture estimates—dive into the details in my latest blog!
🌍At #EMS24 our researcher Francesco Uboldi presented our research on an automatic #observation quality control system for non-hydrostatic simulations. The work with high-res #WRF model data enhances #forecast accuracy. #DataAssimilation @MAGDA_Project
👉https://t.co/oPIo7Mp3u3
Some of my PhD research was published this week 🎉
Indebted to my supervisors for their support & hard work
https://t.co/bUzT2StPSO
@amoslawless #dataassimilation #optimisation
Our latest #MachineLearning paper
Multi-domain encoder-decoder #NeuralNetworks for latent #DataAssimilation in dynamical #systems
Drop coalescence, #Multiphase #FluidDynamics
https://t.co/ueGi8FUtHZ in #Computer Methods in Applied #Mechanics & #Engineering @Elsevier_Eng
Prof. Kotsuki's team developed a groundbreaking #algorithm for solving #dataassimilation problems using #quantumcomputers, drastically cutting #computationalcosts and advancing numerical #weatherprediction.
https://t.co/abN6vAgcGf
@EGU_NPG
New article led by Ivo Pasmans on #DataAssimilation with discontinuous #GalerkinMethods, published in the Quarterly Journal of @RMetS!
👉https://t.co/LweP65ispl
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