The topics of the 1st International Conference on Opportunistic Sensing of Precipitation consist of data and processing methods of opportunistic sensors, the evaluation and application of OS-based precipitation information as well as broader aspects from stakeholder involvement and and public benefit. We invite contribution on following topics.
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OS data acquisition, management & standardization
~ New data sets at regional/country-wide scale
~ Novel DAQ techniques, Real-time data acquisition
~ Advancements in Sensing techniques (CMLs, SMLs, cameras, other OS sensors)
~ Operational pipelines for OS data applications -
Processing methods
~ Novel processing methods
~ Reducing uncertainty and improving the reliability of OS QPE
~ QC algorithms
~ Using ML/DL techniques for data processing
~ Open software packages for data processing -
Comparative performance analysis and uncertainty assessment
~ Theoretical studies
~ Simulation experiments
~ Empirical performance analysis
~ Uncertainty assessment -
OS data merging
~ Merging with standard remote sensing techniques (radars, satellites) or rainfall stations
~ Interpolation methods of OS concerning uncertainties or geometric properties -
Application of OS rainfall data
~ Application for nowcasting
~ Hydrological applications on different scales
~ Rainfall products and applications in ungauged regions
~ Operational applications & impact-based warnings in hydrology and meteorology
~ NWP and data assimilation -
Bridging the gap
~ Stakeholder exchange
~ Business models
~ Impact based-warnings and communication
~ From Science to Public Benefit
