AI-based data assimilation: Learning the functional of analysis estimation
Fuente:
arXiv
Saved in:
| Main Authors: | Keller, Jan D., Potthast, Roland |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning Data-driven Surrogate and Correction Models for Satellite Observations in Numerical Weather Prediction
by: Buono, Gian Luca, et al.
Published: (2026)
by: Buono, Gian Luca, et al.
Published: (2026)
A neural network-based observation operator for weather radar data assimilation
by: Stefanelli, Marco, et al.
Published: (2025)
by: Stefanelli, Marco, et al.
Published: (2025)
Using data assimilation tools to dissect GraphDOP
by: Laloyaux, Patrick, et al.
Published: (2025)
by: Laloyaux, Patrick, et al.
Published: (2025)
A unified neural background-error covariance model for midlatitude and tropical atmospheric data assimilation
by: Melinc, Boštjan, et al.
Published: (2025)
by: Melinc, Boštjan, et al.
Published: (2025)
Tailoring data assimilation to discontinuous Galerkin models
by: Pasmans, Ivo, et al.
Published: (2023)
by: Pasmans, Ivo, et al.
Published: (2023)
Capability demonstration of a JEDI-based system for TEMPO assimilation: system description and evaluation
by: Abdi-Oskouei, Maryam, et al.
Published: (2025)
by: Abdi-Oskouei, Maryam, et al.
Published: (2025)
Hybrid machine learning data assimilation for marine biogeochemistry
by: Higgs, Ieuan, et al.
Published: (2025)
by: Higgs, Ieuan, et al.
Published: (2025)
Hyperlocal urban NO2 hotspot modeling driven by microscopic traffic data
by: Weger, Michael, et al.
Published: (2026)
by: Weger, Michael, et al.
Published: (2026)
Global atmospheric data assimilation with multi-modal masked autoencoders
by: Vandal, Thomas J., et al.
Published: (2024)
by: Vandal, Thomas J., et al.
Published: (2024)
Huracan: A skillful end-to-end data-driven system for ensemble data assimilation and weather prediction
by: Ni, Zekun, et al.
Published: (2025)
by: Ni, Zekun, et al.
Published: (2025)
Generative assimilation and prediction for weather and climate
by: Yang, Shangshang, et al.
Published: (2025)
by: Yang, Shangshang, et al.
Published: (2025)
Deep learning in the abyss: a stratified Physics Informed Neural Network for data assimilation
by: Limousin, Vadim, et al.
Published: (2025)
by: Limousin, Vadim, et al.
Published: (2025)
AIFS-CRPS: Ensemble forecasting using a model trained with a loss function based on the Continuous Ranked Probability Score
by: Lang, Simon, et al.
Published: (2024)
by: Lang, Simon, et al.
Published: (2024)
Ensemble size effects on conditional reliability estimates: slope attenuation bias and correction methods
by: Spaeth, Jonas, et al.
Published: (2026)
by: Spaeth, Jonas, et al.
Published: (2026)
Emerging AI-based weather prediction models as downscaling tools
by: Koldunov, Nikolay, et al.
Published: (2024)
by: Koldunov, Nikolay, et al.
Published: (2024)
Return level estimations for extreme rainfall over the Iberian Peninsula: comparing methodologies
by: Acero, F. J., et al.
Published: (2024)
by: Acero, F. J., et al.
Published: (2024)
Watch an AI Weather Model Learn (and Unlearn) Tropical Cyclones
by: Baiman, Rebecca, et al.
Published: (2026)
by: Baiman, Rebecca, et al.
Published: (2026)
Long-window tandem variational data assimilation methods for chaotic climate models tested with the Lorenz 63 system
by: Kennedy, Philip David, et al.
Published: (2024)
by: Kennedy, Philip David, et al.
Published: (2024)
How does an AI Weather Model Learn to Forecast Extreme Weather?
by: Baiman, Rebecca, et al.
Published: (2025)
by: Baiman, Rebecca, et al.
Published: (2025)
Differential reflectivity columns and hail -- linking C-band radar-based estimated column characteristics to crowdsourced hail observations in Switzerland
by: Aregger, Martin, et al.
Published: (2024)
by: Aregger, Martin, et al.
Published: (2024)
Enhanced continuous aerosol optical depth (AOD) estimation using geostationary satellite data: focusing on nighttime AOD over East Asia
by: Song, Sanghyeon, et al.
Published: (2024)
by: Song, Sanghyeon, et al.
Published: (2024)
Physics captured by data-based methods in El Niño prediction
by: Lancia, G., et al.
Published: (2022)
by: Lancia, G., et al.
Published: (2022)
Benchmarking AI-based data assimilation to advance data-driven global weather forecasting
by: Wang, Wuxin, et al.
Published: (2024)
by: Wang, Wuxin, et al.
Published: (2024)
Towards NoahMP-AI: Enhancing Land Surface Model Prediction with Deep Learning
by: Mbarak, Mahmoud, et al.
Published: (2025)
by: Mbarak, Mahmoud, et al.
Published: (2025)
Comparing Ocean Forecasts Driven with Machine Learning-based and Physics-based Atmospheric Forcings
by: Zhou, Xiaobing, et al.
Published: (2026)
by: Zhou, Xiaobing, et al.
Published: (2026)
Predictability of north Pacific blocking events : Analogue based analysis of historical MIROC6 simulations
by: Xavier, Anupama K, et al.
Published: (2025)
by: Xavier, Anupama K, et al.
Published: (2025)
Integrated nowcasting of convective precipitation with Transformer-based models using multi-source data
by: Küçük, Çağlar, et al.
Published: (2024)
by: Küçük, Çağlar, et al.
Published: (2024)
A methodology for realistic estimation of the aerosol impact on the solar potential
by: Blaga, Robert, et al.
Published: (2023)
by: Blaga, Robert, et al.
Published: (2023)
Machine learning-based correlation analysis of decadal cyclone intensity with sea surface temperature: data and tutorial
by: Wu, Jingyang, et al.
Published: (2025)
by: Wu, Jingyang, et al.
Published: (2025)
Field calibration and analysis of a low-cost sensor network based on the existing air quality infrastructure of a city
by: Blaga, Robert
Published: (2024)
by: Blaga, Robert
Published: (2024)
Evaluating satellite and reanalysis rainfall estimates for climate services in agriculture: a comprehensive methodology
by: Parsons, Danny, et al.
Published: (2025)
by: Parsons, Danny, et al.
Published: (2025)
HealDA: Highlighting the importance of initial errors in end-to-end AI weather forecasts
by: Gupta, Aayush, et al.
Published: (2026)
by: Gupta, Aayush, et al.
Published: (2026)
Machine Learning-based Denoising of Surface Solar Irradiance simulated with Monte Carlo Ray Tracing
by: Reeze, Ment, et al.
Published: (2024)
by: Reeze, Ment, et al.
Published: (2024)
Do AI models predict storm impacts as accurately as physics-based models? A case study of the February 2020 storm series over the North Atlantic
by: Afargan-Gerstman, Hilla, et al.
Published: (2025)
by: Afargan-Gerstman, Hilla, et al.
Published: (2025)
Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps
by: Rabault, J, et al.
Published: (2025)
by: Rabault, J, et al.
Published: (2025)
Over 100-fold improvement in the accuracy of relaxed eddy accumulation flux estimates through error diffusion
by: Emad, Anas
Published: (2023)
by: Emad, Anas
Published: (2023)
EnsAI: An Emulator for Atmospheric Chemical Ensembles
by: Sitwell, Michael
Published: (2025)
by: Sitwell, Michael
Published: (2025)
Climatological benchmarking of AI-generated tropical cyclones
by: Weng, Yanmo, et al.
Published: (2025)
by: Weng, Yanmo, et al.
Published: (2025)
HF radar estimation of ocean wave parameters: second-order Doppler spectrum versus Bragg wave modulation approach
by: Morales-Márquez, Verónica, et al.
Published: (2024)
by: Morales-Márquez, Verónica, et al.
Published: (2024)
OTProf: estimating high-resolution profiles of optical turbulence ($C_n^2$) from reanalysis using deep learning
by: Pierzyna, Maximilian, et al.
Published: (2026)
by: Pierzyna, Maximilian, et al.
Published: (2026)
Similar Items
-
Learning Data-driven Surrogate and Correction Models for Satellite Observations in Numerical Weather Prediction
by: Buono, Gian Luca, et al.
Published: (2026) -
A neural network-based observation operator for weather radar data assimilation
by: Stefanelli, Marco, et al.
Published: (2025) -
Using data assimilation tools to dissect GraphDOP
by: Laloyaux, Patrick, et al.
Published: (2025) -
A unified neural background-error covariance model for midlatitude and tropical atmospheric data assimilation
by: Melinc, Boštjan, et al.
Published: (2025) -
Tailoring data assimilation to discontinuous Galerkin models
by: Pasmans, Ivo, et al.
Published: (2023)