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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

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Open access Sep 2026

Assimilation of SO2 TROPOMI Retrievals at the European Scale with EAKF Implemented in MINNI Through DART

Air quality modeling of sulfur dioxide (SO2) concentrations remains challenging due to the high variability of both natural and anthropogenic emission sources, as well as the complexities associated with its multiphase chemistry. The data assimilation (DA) of satellite observations is a promising technique for constrai...

Giorgia De Moliner, Alessandro D'Ausilio, A. Bolignano et al. · 0 citations
Preprint Aug 2026

Opal.jl: a comprehensive, composable framework for data assimilation in Julia

Data assimilation (DA) and inverse modelling are indispensable tools for combining physics-based models with observations, yet the software that implements them is often fragmented: sequential (Kalman and particle) filters and variational (3D/4D-Var) estimators are typically developed as separate codebases, each tied t...

Nicholas Mueller · 0 citations
Open access Oct 2026

Global analysis of precipitation based on the SL-AV10 atmospheric model and synoptic observations

A procedure for analyzing global 6-hour precipitation fields is described. The input data are 0–6-hour lead-time forecasts of the SL-AV10 atmosphere model (serving as the first guess) and precipitation observations from weather stations. The analysis includes three stages, with the first guess being successively refine...

R. Zaripov · 0 citations
Open access Sep 2026

Observing system simulation experiment by integrating multi-source satellite observations

Fine-scale monitoring of urban fossil-fuel CO 2 (ffCO 2 ) emissions is essential for evaluating mitigation policies and improving carbon accounting systems. Using Dongying, Shandong Province, as a case study, we developed an urban ffCO 2 inversion framework that integrates TROPOMI NO 2 observations, OCO-2/3 X...

Yu-Fei Zheng, Zhen-Yu Bo, Yu-Bao Sun et al. · 0 citations
Open access Aug 2026

The benefit of neighborhood methods for the assimilation of cloud‐affected radiances evaluated in observing‐system simulation experiments

Deficiencies in the representation of hydrometeors and subgrid‐scale motions in numerical weather prediction models cause systematic differences between satellite observations and their model equivalents, which pose a significant challenge for the assimilation of cloud‐affected radiances. In this study, we compare me...

Lukas Kugler, S. Serafin, A. Hochebner et al. · 0 citations
Preprint Aug 2026

Data Assimilation: Addressing Spurious Correlations and Scalability Issues

Data assimilation in the form of the ensemble Kalman filter (EnKF) is commonly used to combine large-scale physics-based models and real-world observations of a quantity of interest. However, the EnKF is known to be adversely affected by spurious correlations when applied to Numerical Weather Prediction (NWP) models wi...

Eric Crislip, M. Khalil, Kyle Neal · 0 citations

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