Session 1

All current hydrological observatories distributed are providing soil moisture data from in-situ and proximal sensor network systems in different spatial and temporal resolutions. Moreover large-scale global coverage of soil moisture data is provided by various remote sensing platforms. The increase in the amount of soil moisture data across spatial and temporal scales is leading to the era of “Big Soil Moisture Data”. The exponential growth in computational power and advancements in machine learning algorithms are unlocking scientific insights at an unprecedented rate in soil-moisture-related processes leading to improved hydrological, ecological and agricultural modeling and forecasting. Yet the abundant soil moisture data collected by new-generation ground-based, airborne-based and space-borne platforms are still affected by uncertainties and have gaps in both space and time. In this session, we welcome contributions that analyze soil moisture dynamics that have been made available in hydrological observatories aiming at improving our understanding of hydrological processes. We also invite contributions that address the aforementioned challenges.

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Conveners: Paolo Nasta, Karsten Høgh Jensen

All current hydrological observatories distributed are providing soil moisture data from in-situ and proximal sensor network systems in different spatial and temporal resolutions. Moreover large-scale global coverage of soil moisture data is provided by various remote sensing platforms. The increase in the amount of soil moisture data across spatial and temporal scales is leading to the era of “Big Soil Moisture Data”. The exponential growth in computational power and advancements in machine learning algorithms are unlocking scientific insights at an unprecedented rate in soil-moisture-related processes leading to improved hydrological, ecological and agricultural modeling and forecasting. Yet the abundant soil moisture data collected by new-generation ground-based, airborne-based and space-borne platforms are still affected by uncertainties and have gaps in both space and time. In this session, we welcome contributions that analyze soil moisture dynamics that have been made available in hydrological observatories aiming at improving our understanding of hydrological processes. We also invite contributions that address the aforementioned challenges.