Search Results - "Tommaso Moramarco"

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  1. 1

    Data Assimilation of Satellite Soil Moisture into Rainfall-Runoff Modelling: A Complex Recipe? by Massari, Christian, Brocca, Luca, Tarpanelli, Angelica, Moramarco, Tommaso

    Published in Remote sensing (Basel, Switzerland) (01-09-2015)
    “…Data assimilation (DA) of satellite soil moisture (SM) observations represents a great opportunity for improving the ability of rainfall-runoff models in…”
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    Journal Article
  2. 2

    River Discharge Estimation by Using Altimetry Data and Simplified Flood Routing Modeling by Tarpanelli, Angelica, Barbetta, Silvia, Brocca, Luca, Moramarco, Tommaso

    Published in Remote sensing (Basel, Switzerland) (01-09-2013)
    “…A methodology to estimate the discharge along rivers, even poorly gauged ones, taking advantage of water level measurements derived from satellite altimetry is…”
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    Journal Article
  3. 3

    River Bathymetry Estimate and Discharge Assessment from Remote Sensing by Moramarco, Tommaso, Barbetta, Silvia, Bjerklie, David M., Fulton, John W., Tarpanelli, Angelica

    Published in Water resources research (01-08-2019)
    “…The NASA Surface Water Ocean Topography (SWOT) mission and ESA Sentinel‐1, inter‐alia, propose to monitor inland waters from satellites. The radar altimeter…”
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    Journal Article
  4. 4

    Real-time flood forecasting downstream river confluences using a Bayesian approach by Barbetta, Silvia, Coccia, Gabriele, Moramarco, Tommaso, Todini, Ezio

    Published in Journal of hydrology (Amsterdam) (01-10-2018)
    “…•The issue of forecast at gauged sites downstream river confluence is investigated.•The proposed method uses probabilistic forecast at gauged sites on…”
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  5. 5

    Kinematic reverse flood routing in natural rivers using stage data by Tayfur, Gokmen, Moramarco, Tommaso

    Published in Applied water science (01-08-2022)
    “…In many developing countries, due to economic constraints, a single station on a river reach is often equipped to record flow variables. On the other hand,…”
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  6. 6

    Toward the estimation of river discharge variations using MODIS data in ungauged basins by Tarpanelli, Angelica, Brocca, Luca, Lacava, Teodosio, Melone, Florisa, Moramarco, Tommaso, Faruolo, Mariapia, Pergola, Nicola, Tramutoli, Valerio

    Published in Remote sensing of environment (01-09-2013)
    “…This study investigates the capability of the Moderate resolution Imaging Spectroradiometer (MODIS) to estimate river discharge, even for ungauged sites…”
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  7. 7

    Dip Phenomenon in High-Curved Turbulent Flows and Application of Entropy Theory by Donatella Termini, Tommaso Moramarco

    Published in Water (Basel) (01-03-2018)
    “…The estimation of velocity profile in turbulent open channels is a difficult task due to the significant effects of the secondary flow. The present paper…”
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  8. 8

    Significance of hydraulic complexity parameters M1 and M2 based on the laboratory and field data by Bahmanpouri, Farhad, Termini, Donatella, Barbetta, Silvia, Dionigi, Marco, Moramarco, Tommaso

    Published in Hydrology research (01-03-2023)
    “…Hydraulic complexity metrics referred to as M1 and M2 play an important role when it comes to the analysis of habitat metrics. In the present paper, the…”
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    Journal Article
  9. 9

    Discharge Estimation Using Tsallis and Shannon Entropy Theory in Natural Channels by Jitendra Kumar Vyas, Muthiah Perumal, Tommaso Moramarco

    Published in Water (Basel) (01-06-2020)
    “…Streamflow measurements during high floods is a challenge for which the World Meteorological Organization fosters the development of innovative technologies…”
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    Journal Article
  10. 10

    From Surface Flow Velocity Measurements to Discharge Assessment by the Entropy Theory by Tommaso Moramarco, Silvia Barbetta, Angelica Tarpanelli

    Published in Water (Basel) (01-02-2017)
    “…A new methodology for estimating the discharge starting from the monitoring of surface flow velocity, usurf, is proposed. The approach, based on the entropy…”
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    Journal Article
  11. 11

    Flood Hydrograph Prediction Using Machine Learning Methods by Gokmen Tayfur, Vijay P. Singh, Tommaso Moramarco, Silvia Barbetta

    Published in Water (Basel) (24-07-2018)
    “…Machine learning (soft) methods have a wide range of applications in many disciplines, including hydrology. The first application of these methods in hydrology…”
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  12. 12

    A multilayer soil approach for seepage process analysis in earthen levees by Bonaccorsi, Bianca, Moramarco, Tommaso, Noto, Leonardo Valerio, Barbetta, Silvia

    Published in Journal of flood risk management (01-09-2022)
    “…The analysis of seepage through earthen levees is fundamental to investigate the levee safety condition, since that the seepage phenomenon can often lead to…”
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  13. 13

    Influence of the channel bed slope on Shannon, Tsallis, and Renyi entropy parameters by Singh, Gurpinder, Khosa, Rakesh, Jain, Manoj Kumar, Moramarco, Tommaso, Singh, Vijay P.

    Published in Journal of hydroinformatics (01-11-2023)
    “…Velocity distribution plays a fundamental role in understanding the hydrodynamics of open-channel flow. Among a multitude of approaches, the entropy-based…”
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  14. 14

    Assessment of rainfall thresholds and soil moisture modeling for operational hydrogeological risk prevention in the Umbria region (central Italy) by Ponziani, Francesco, Pandolfo, Claudia, Stelluti, Marco, Berni, Nicola, Brocca, Luca, Moramarco, Tommaso

    Published in Landslides (01-06-2012)
    “…Rainfall thresholds represent the main tool for the Italian Civil Protection System for early warning of the threat of landslides. However, it is well-known…”
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  15. 15

    Improving Landslide Forecasting Using ASCAT-Derived Soil Moisture Data: A Case Study of the Torgiovannetto Landslide in Central Italy by Brocca, Luca, Ponziani, Francesco, Moramarco, Tommaso, Melone, Florisa, Berni, Nicola, Wagner, Wolfgang

    Published in Remote sensing (Basel, Switzerland) (01-05-2012)
    “…Predicting the spatial and temporal occurrence of rainfall triggered landslides represents an important scientific and operational issue due to the high threat…”
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  16. 16

    A methodology for discharge estimation and rating curve development at ungauged river sites by Perumal, Muthiah, Moramarco, Tommaso, Sahoo, Bhabagrahi, Barbetta, Silvia

    Published in Water resources research (01-02-2007)
    “…A methodology for estimating discharges and development of rating curves at ungauged river sites is presented. The methodology employs a routing method, which…”
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  17. 17

    Three Methods for Estimating the Entropy Parameter M Based on a Decreasing Number of Velocity Measurements in a River Cross-Section by Giulia Farina, Stefano Alvisi, Marco Franchini, Tommaso Moramarco

    Published in Entropy (Basel, Switzerland) (01-05-2014)
    “…The theoretical development and practical application of three new methods for estimating the entropy parameter M used within the framework of the entropy…”
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    Journal Article
  18. 18

    Impact of animal burrows on earthen levee body vulnerability to seepage by Palladino, Michela R., Barbetta, Silvia, Camici, Stefania, Claps, Pierluigi, Moramarco, Tommaso

    Published in Journal of flood risk management (01-01-2020)
    “…A novel procedure for estimation of the vulnerability to seepage inducing piping processes in earthen levees affected by animal burrows is presented. The…”
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  19. 19

    The Applicability of Time-Integrated Unit Stream Power for Estimating Bridge Pier Scour Using Noncontact Methods in a Gravel-Bed River by Hempel, Laura A., Malenda, Helen F., Fulton, John W., Henneberg, Mark F., Cederberg, Jay R., Moramarco, Tommaso

    Published in Remote sensing (Basel, Switzerland) (01-05-2022)
    “…In near-field remote sensing, noncontact methods (radars) that measure stage and surface water velocity have the potential to supplement traditional bridge…”
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  20. 20

    QCam: sUAS-Based Doppler Radar for Measuring River Discharge by Fulton, John W., Anderson, Isaac E., Chiu, C.-L., Sommer, Wolfram, Adams, Josip D., Moramarco, Tommaso, Bjerklie, David M., Fulford, Janice M., Sloan, Jeff L., Best, Heather R., Conaway, Jeff S., Kang, Michelle J., Kohn, Michael S., Nicotra, Matthew J., Pulli, Jeremy J.

    Published in Remote sensing (Basel, Switzerland) (01-10-2020)
    “…The U.S. Geological Survey is actively investigating remote sensing of surface velocity and river discharge (discharge) from satellite-, high altitude-, small,…”
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