Tootfinder

Estimating carbon pools in the shelf sea environment: reanalysis or model-informed machine learning?
Jozef Skakala
https://arxiv.org/abs/2508.10178 https://

Estimating carbon pools in the shelf sea environment: reanalysis or model-informed machine learning?
Shelf seas are important for carbon sequestration and carbon cycle, but available in situ, or satellite data for carbon pools in the shelf sea environment are often sparse, or highly uncertain. Alternative can be provided by reanalyses, but these are often expensive to run. We propose to use an ensemble of neural networks (NN) to learn from a coupled physics-biogeochemistry model the relationship between the directly observable variables and carbon pools. We demonstrate for North-West European …

Hoffentlich der vorletzte Link zu Maaßen, den ich teile. Martin Debes zeigt auf wie erbärmlich Maaßen trotz seiner Gefährlichkeit ist. (Der letzte Link hat dann hoffentlich mit dem Untersuchungsausschuss zu Maaßens Tätigkeiten beim VS zu tun.)
#Maaßen #VerfassungschutzAbschaffen

Hans-Georg Maaßen und das traurige Ende keiner Ära
Mit der Selbstzerstörung seiner Werteunion ist der einstige Verfassungsschutzchef Hans-Georg Maaßen final gescheitert. Er hat es sich verdient.

Multiple machine-learning as a powerful tool for the star clusters analysis
Denilso Camargo
https://arxiv.org/abs/2506.13951 https://…

Multiple machine-learning as a powerful tool for the star clusters analysis
This work proposes a multiple machine learning method (MMLM) aiming to improve the accuracy and robustness in the analysis of star clusters. The MMLM performance is evaluated by applying it to the reanalysis of the old binary cluster candidate - NGC 1605a and NGC 1605b - found by Camargo (2021) (hereafter C21). The binary cluster candidate is analyzed by employing a set of well established machine learning algorithms applied to the Gaia-EDR3 data. Membership probabilities and open clusters (OCs…