Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Marcel Kleinherenbrink is active.

Publication


Featured researches published by Marcel Kleinherenbrink.


Geophysical Research Letters | 2016

Closing the sea level budget on a regional scale: Trends and variability on the Northwestern European continental shelf

Thomas Frederikse; Riccardo E. M. Riva; Marcel Kleinherenbrink; Yoshihide Wada; Michiel R. van den Broeke; Ben Marzeion

Abstract Long‐term trends and decadal variability of sea level in the North Sea and along the Norwegian coast have been studied over the period 1958–2014. We model the spatially nonuniform sea level and solid earth response to large‐scale ice melt and terrestrial water storage changes. GPS observations, corrected for the solid earth deformation, are used to estimate vertical land motion. We find a clear correlation between sea level in the North Sea and along the Norwegian coast and open ocean steric variability in the Bay of Biscay and west of Portugal, which is consistent with the presence of wind‐driven coastally trapped waves. The observed nodal cycle is consistent with tidal equilibrium. We are able to explain the observed sea level trend over the period 1958–2014 well within the standard error of the sum of all contributing processes, as well as the large majority of the observed decadal sea level variability.


Journal of Geophysical Research | 2017

Trends and interannual variability of mass and steric sea level in the Tropical Asian Seas

Marcel Kleinherenbrink; Riccardo E. M. Riva; Thomas Frederikse; Mark A. Merrifield; Yoshihide Wada

The mass and steric components of sea level changes have been separated in the Tropical Asian Seas (TAS) using a statistically optimal combination of Jason satellite altimetry, GRACE satellite gravimetry and ocean reanalyses. Using observational uncertainties, statistically optimally weighted time series for both components have been obtained in four regions within the TAS over the period January 2005 - December 2012. n nThe mass and steric sea level variability is regressed with the first two principal components (PC1&2) of Pacific equatorial wind stress and the Dipole Mode Index (DMI). Sea level in the the South China Sea is not affected by any of the indices. Steric variability in the TAS is largest in the deep Banda and Celebes seas and is affected by both PCs and the DMI. Mass variability is largest on the continental shelves, which is primarily controlled by PC1. We argue that a water flux from the Western Tropical Pacific Ocean is the cause for mass variability in the TAS. n nThe steric trends are about 2 mm yr−1 larger than the mass trends in the TAS. A signifcant part of the mass trend can be explained by the aforementioned indices and the nodal cycle. Trends obtained from fingerprints of mass redistribution are statistically equal to mass trends after subtracting the nodal cycle and the indices. n nUltimately, the effect of omitting the TAS in global sea level budgets is estimated to be 0.3 mm yr−1.


Ocean Science | 2016

Sub-basin-scale sea level budgets from satellite altimetry, Argo floats and satellite gravimetry: a case study in the North Atlantic Ocean

Marcel Kleinherenbrink; Riccardo E. M. Riva; Yu Sun


Earth and Planetary Science Letters | 2017

A data-driven model for constraint of present-day glacial isostatic adjustment in North America

Karen M. Simon; Riccardo E. M. Riva; Marcel Kleinherenbrink; N. Tangdamrongsub


Solid Earth | 2018

The glacial isostatic adjustment signal at present day in northern Europe and the British Isles estimated from geodetic observations and geophysical models

Karen M. Simon; Riccardo E. M. Riva; Marcel Kleinherenbrink; Thomas Frederikse


Solid Earth Discussions | 2018

The long-term GIA signal at present-day in Scandinavia, northern Europe and the British Isles estimated from GPS and GRACE data

Karen M. Simon; Riccardo E. M. Riva; Marcel Kleinherenbrink; Thomas Frederikse


Ocean Science | 2018

A comparison of methods to estimate vertical land motion trends from GNSS and altimetry at tide gauge stations

Marcel Kleinherenbrink; Riccardo E. M. Riva; Thomas Frederikse


Geologie En Mijnbouw | 2018

Sea-level change in the Dutch Wadden Sea

Bert Vermeersen; Aimée B. A. Slangen; Theo Gerkema; Fedor Baart; K.M. Cohen; Sönke Dangendorf; Matthias Duran-Matute; Thomas Frederikse; Aslak Grinsted; Marc P. Hijma; Svetlana Jevrejeva; Patrick Kiden; Marcel Kleinherenbrink; Erik Meijles; Matthew D. Palmer; Roelof Rietbroek; Riccardo E. M. Riva; Elisabeth Schulz; D. Cornelis Slobbe; Matthew J.R. Simpson; Paul Sterlini; Paolo Stocchi; Roderik S. W. van de Wal; Mick van der Wegen


Publisher | 2017

Lake seasonality across the Tibetan Plateau and their varying relationship with regional mass changes and local hydrology

Yanbin Lei; Tandong Yao; Kun Yang; Yongwei Sheng; Marcel Kleinherenbrink; Shuang Yi; Xiaowen Zhang; La Zhu; Guoqing Zhang


Ocean Science Discussions | 2017

A comparison of data weighting methods to derive vertical land motion trends from GNSS and altimetry at tide gauge stations

Marcel Kleinherenbrink; Riccardo E. M. Riva; Thomas Frederikse

Collaboration


Dive into the Marcel Kleinherenbrink's collaboration.

Top Co-Authors

Avatar

Riccardo E. M. Riva

Delft University of Technology

View shared research outputs
Top Co-Authors

Avatar

Thomas Frederikse

Delft University of Technology

View shared research outputs
Top Co-Authors

Avatar

Yoshihide Wada

International Institute for Applied Systems Analysis

View shared research outputs
Top Co-Authors

Avatar

Karen M. Simon

Delft University of Technology

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Yu Sun

Delft University of Technology

View shared research outputs
Top Co-Authors

Avatar

Mark A. Merrifield

University of Hawaii at Manoa

View shared research outputs
Top Co-Authors

Avatar

Yongwei Sheng

University of California

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Guoqing Zhang

Chinese Academy of Sciences

View shared research outputs
Researchain Logo
Decentralizing Knowledge