Recent and future satellite missions for observation of the continental water cycle
Convener: Gilles Boulet | Co-Conveners: Yangbo Chen, Amir AghaKouchak, Yaning Chen, Chris Hopkinson, María José Polo

Recently launched Earth observation satellite missions, as well as missions scheduled for launch in the next decade or so, open a new era in Space Hydrology. Those sensors enable us to observe new variables of the continental water cycle, or improve the observation capacity of existing platforms. Amongst the former, SWOT will help monitor the surface water levels at fine resolution, while TRISHNA and LSTM will provide surface temperature data at plot scale every few days with potential retrieval of both evapotranspiration and surface water stress. Amongst the latter, are operational missions, such as the Copernicus system, offering free access to high resolution data with an enhanced revisit frequency in the order of a few days, consistent with the typical time scale of a drydown period. They also provide a series of downstream services and products ready for use as constraints in hydrological models: Sentinel 2 for vegetation cover monitoring, and Sentinel 1 for soil moisture applications, amongst others.
This session thus focuses on both potential applications and the challenges associated with using the upcoming large datasets optimally. In this session, we welcome contributions on the following subjects:
• sensors and systems: this subtopic will cover technologies, platforms and remote sensing products, used – or with potential future applications – in hydrological remote sensing. Presentations on the latest international cal/val campaigns, impact assessment, initiatives and data products are welcome. This includes GPM, SMOS_HR/SMAP, Sentinels, SWOT, TRISHNA/LSTM, ECOSTRESS, etc.
• theories and methods: this subtopic focuses on the latest progress in theories and methods relevant to designing Hydrological Observing Systems based on recent or planned satellite missions, i.e. i) inversion of hydrological variables (observation models) such as precipitation, snowpack, evapotranspiration, soil moisture, groundwater, water bodies, river discharge etc, and ii) assimilation of remote sensing products and their associated uncertainty, with special attention to scaling (aggregation, disaggregation) and footprint analysis.