V
Valentijn R. N. Pauwels
Researcher at Monash University, Clayton campus
Publications - 169
Citations - 5816
Valentijn R. N. Pauwels is an academic researcher from Monash University, Clayton campus. The author has contributed to research in topics: Data assimilation & Water content. The author has an hindex of 43, co-authored 159 publications receiving 4859 citations. Previous affiliations of Valentijn R. N. Pauwels include Princeton University & Ghent University.
Papers
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Journal ArticleDOI
Multiscale assimilation of Advanced Microwave Scanning Radiometer–EOS snow water equivalent and Moderate Resolution Imaging Spectroradiometer snow cover fraction observations in northern Colorado
Gabrielle De Lannoy,Gabrielle De Lannoy,Rolf H. Reichle,Kristi R. Arsenault,Paul R. Houser,Sujay V. Kumar,Niko E. C. Verhoest,Valentijn R. N. Pauwels +7 more
TL;DR: In this article, a multiscale ensemble Kalman filter (EnKF) is used, supplemented with a rule-based update for anomaly assimilation of the satellite data.
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The evolution of process-based hydrologic models: historical challenges and the collective quest for physical realism
Martyn P. Clark,Marc F. P. Bierkens,Luis Samaniego,Ross Woods,Remko Uijlenhoet,Katrina E. Bennett,Valentijn R. N. Pauwels,Xitian Cai,Andrew W. Wood,Christa D. Peters-Lidard +9 more
TL;DR: The diversity in hydrologic models has historically led to great controversy on the "correct" approach to process-based hydrology modeling, with debates centered on the adequacy of process parameterizations, data limitations and uncertainty, and computational constraints on model analysis as discussed by the authors.
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Climate and vegetation water use efficiency at catchment scales
Peter Troch,Guillermo F. Martinez,Valentijn R. N. Pauwels,Matej Durcik,Murugesu Sivapalan,Ciaran J. Harman,Paul D. Brooks,Hoshin V. Gupta,Travis E. Huxman +8 more
TL;DR: Troch et al. as mentioned in this paper proposed SAHRA (Sustainability of semi-arid hydrology and riparian areas), which is a semiarid water management model.
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SMOS soil moisture assimilation for improved hydrologic simulation in the Murray Darling Basin, Australia
Hans Lievens,Sat Kumar Tomer,Ahmad Al Bitar,G. De Lannoy,Matthias Drusch,Gift Dumedah,Harrie-Jan Hendricks Franssen,Yann Kerr,Brecht Martens,Ming Pan,Joshua K. Roundy,Harry Vereecken,Jeffrey P. Walker,Eric F. Wood,Niko E. C. Verhoest,Valentijn R. N. Pauwels +15 more
TL;DR: In this article, the authors explored the benefits of assimilating SMOS retrievals for hydrologic modeling, with a focus on soil moisture and streamflow simulations in the Murray Darling Basin, Australia.
Journal ArticleDOI
The importance of the spatial patterns of remotely sensed soil moisture in the improvement of discharge predictions for small-scale basins through data assimilation
TL;DR: In this article, the authors investigate to which degree information concerning the spatial patterns of remotely sensed soil moisture data are needed in order to improve discharge predictions from hydrological models using the TOPMODEL-based Land-Atmosphere Transfer Scheme (TOPLATS).