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📢Evaluation of ten #satellite-based and #reanalysis #precipitation datasets on a daily basis for #Czechia (2001–2021) by Daniel Paluba et al. @palubad.bsky.social 👉https://doi.org/10.1080/20964471.2025.2592444 💌 #ERA5 #timeseries #meteorology #remotesensing #earthobservation #GIS #opendata
Some takeaways: • Traditional ML models (linear SVM, ridge and logistic regression and kNN) performed as well as, or better than, more complex models (Random Forest, XGBoost, neural networks - MLPs). • It suggests that the AEF embedding space already provides a well-structured representation.