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Remko Nijzink
Remko Nijzink
Luxembourg Institute of Science and Technology
Verified email at tudelft.nl
Title
Cited by
Cited by
Year
Process consistency in models: The importance of system signatures, expert knowledge, and process complexity
M Hrachowitz, O Fovet, L Ruiz, T Euser, S Gharari, R Nijzink, J Freer, ...
Water resources research 50 (9), 7445-7469, 2014
1932014
Constraining conceptual hydrological models with multiple information sources
RC Nijzink, S Almeida, IG Pechlivanidis, R Capell, D Gustafssons, ...
Water Resources Research 54 (10), 8332-8362, 2018
832018
Virtual laboratories: new opportunities for collaborative water science
S Ceola, B Arheimer, E Baratti, G Blöschl, R Capell, A Castellarin, J Freer, ...
Hydrology and Earth System Sciences 19 (4), 2101-2117, 2015
762015
Virtual laboratories: new opportunities for collaborative water science
S Ceola, B Arheimer, E Baratti, G Blöschl, R Capell, A Castellarin, J Freer, ...
Hydrology and Earth System Sciences 19 (4), 2101-2117, 2015
762015
The evolution of root-zone moisture capacities after deforestation: a step towards hydrological predictions under change?
R Nijzink, C Hutton, I Pechlivanidis, R Capell, B Arheimer, J Freer, D Han, ...
Hydrology and Earth System Sciences 20 (12), 4775-4799, 2016
642016
The importance of topography-controlled sub-grid process heterogeneity and semi-quantitative prior constraints in distributed hydrological models
RC Nijzink, L Samaniego, J Mai, R Kumar, S Thober, M Zink, D Schäfer, ...
Hydrology and Earth System Sciences 20 (3), 1151-1176, 2016
542016
Revised predictive equations for salt intrusion modelling in estuaries
JIA Gisen, HHG Savenije, RC Nijzink
Hydrology and Earth System Sciences 19 (6), 2791-2803, 2015
292015
Testing a 1-D analytical salt intrusion model and its predictive equations in Malaysian estuaries
JIA Gisen, HHG Savenije, RC Nijzink, AK Abd. Wahab
Hydrological Sciences Journal 60 (1), 156-172, 2015
272015
Does maximization of net carbon profit enable the prediction of vegetation behaviour in savanna sites along a precipitation gradient?
RC Nijzink, J Beringer, LB Hutley, SJ Schymanski
Hydrology and Earth System Sciences 26 (2), 525-550, 2022
22022
The role of vegetation optimality in the Budyko-framework
RC Nijzink, S Schymanski
EGU General Assembly Conference Abstracts, EGU21-1300, 2021
22021
Vegetation optimality explains the convergence of catchments on the Budyko curve
RC Nijzink, SJ Schymanski
Hydrology and Earth System Sciences 26 (24), 6289-6309, 2022
12022
Do different projections matter for the Budyko framework?
RC Nijzink, SJ Schymanski
Hydrology and Earth System Sciences 26 (17), 4575-4585, 2022
12022
Does maximization of net carbon profit enable the prediction of vegetation behaviour in savanna sites along a precipitation gradient?
RC Nijzink, J Beringer, LB Hutley, SJ Schymanski
Hydrology and Earth System Sciences Discussions 2021, 1-35, 2021
12021
Repeatable and reproducible workflows using the RENKU open science platform
L Krieger, R Nijzink, G Thakur, C Ramakrishnan, R Roskar, S Schymanski
EGU General Assembly Conference Abstracts, EGU21-7655, 2021
12021
The impact of prior parameter ranges on model behaviour using Global Sensitivity Analysis
S Almeida, RC Nijzink, I Pechlivanidis, R Capell, D Gustafsson, ...
EGU General Assembly Conference Abstracts, 18088, 2017
12017
The importance of topography controlled sub-grid process heterogeneity in distributed hydrological models.
RC Nijzink, L Samaniego, J Mai, R Kumar, S Thober, M Zink, D Schäfer, ...
Hydrology & Earth System Sciences Discussions 12 (12), 2015
12015
Improving the predictive equation for dispersion in estuaries
RC Nijzink
12013
Thermodynamic integration via Replica Exchange Hamiltonian Monte Carlo for faster sampling and model comparison
D Mingo Ndiwago, R Nijzink, C Ley, S Schymanski, J Hale
2023
Where should hydrology go? An early-career perspective on the next IAHS Scientific Decade: 2023–2032
TC van Hateren, HJ Jongen, H Al-Zawaidah, JGW Beemster, J Boekee, ...
Hydrological Sciences Journal 68 (4), 529-541, 2023
2023
Thermodynamic integration via Replica Exchange Hamiltonian Monte Carlo for faster sampling and model comparison
DM Ndiwago, R Nijzink, C Ley, SJ Schymanski, JS Hale
EGU23, 2023
2023
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