Tony Parolari
@parolari.bsky.social
Associate Professor Marquette University
Hydrology and Water Resource Engineering
Hydrology and Water Resource Engineering
A previous study showed that watershed signals can be reconstructed from few Fourier modes, reducing sampling >10x for load estimation. Our new study shows that sampling can be optimized by analyzing widely available regional flow data (3/3): agupubs.onlinelibrary.wiley.com/doi/10.1029/...
Reconstruction of Sparse Stream Flow and Concentration Time‐Series Through Compressed Sensing
Streamflow and concentration signals are characterized as sparse in Fourier frequency domain Compressed sensing (CS) effectively reconstructs 15-min-scale stream flow and concentration signals wi...
agupubs.onlinelibrary.wiley.com
April 24, 2025 at 3:46 PM
A previous study showed that watershed signals can be reconstructed from few Fourier modes, reducing sampling >10x for load estimation. Our new study shows that sampling can be optimized by analyzing widely available regional flow data (3/3): agupubs.onlinelibrary.wiley.com/doi/10.1029/...
Data-driven sparse sensing (DSS) leverages time-series properties of watershed flow and chemical signals to identify a minimal and optimal set of sampling times and locations. TL; DR: daily samples are not necessary to generate a daily time-series and annual load with high accuracy. (2/3)
April 24, 2025 at 3:46 PM
Data-driven sparse sensing (DSS) leverages time-series properties of watershed flow and chemical signals to identify a minimal and optimal set of sampling times and locations. TL; DR: daily samples are not necessary to generate a daily time-series and annual load with high accuracy. (2/3)
Was talking with editor on an unrelated topic and asked for advice on how to join a board. She invited me then.
February 29, 2024 at 5:19 PM
Was talking with editor on an unrelated topic and asked for advice on how to join a board. She invited me then.