Publicaties

• 2023

  An empirical noise model for the benefit of model-based hydrodynamic leveling

  Y. Afrasteh / D. C. Slobbe / M. Verlaan / R. Klees / H. Guarneri / L. Keyzer / J. Pietrzak / M. Sacher / M. Snellen / F. Zijl

• 2022

  Data-assimilation-based parameter estimation of bathymetry and bottom friction coefficient to improve coastal accuracy in a global tide model

  Xiaohui Wang / Martin Verlaan / Jelmer Veenstra / Hai Xiang Lin

• 2022

  Lead Detection in the Arctic Ocean from Sentinel-3 Satellite Data

  A Comprehensive Assessment of Thresholding and Machine Learning Classification Methods
  Inger Bij de Vaate / Ericka Martin / D.Cornelis Slobbe / Marc Naeije / Martin Verlaan

• 2022

  Parameter estimation for a global tide and surge model with a memory-efficient order reduction approach

  Xiaohui Wang / Martin Verlaan / Maialen Irazoqui Apecechea / Hai Xiang Lin

• 2022

  Secular Trends in Global Tides Derived From Satellite Radar Altimetry

  I. Bij de Vaate / D.C. Slobbe / M. Verlaan

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