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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

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R. Janica

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Open access Oct 2026

Downscaling and Gap-Filling GRACE-Based Terrestrial Water Storage Anomalies Using Bias-Aware Machine Learning

This study presents a methodological framework to temporally reconstruct and spatially downscale GRACE Terrestrial Water Storage (TWS) anomalies using a bias-aware Random Forest model for the transboundary Bug River Basin (Poland–Ukraine–Belarus). The approach incorporates three main innovations that enhance satellite-...

T. Solovey, Vytautas Samalavičius, J. Śliwińska-Bronowicz et al. · 0 citations

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