Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Wouter J. M. Knoben"'
Autor:
Nicolás A. Vásquez, Pablo A. Mendoza, Wouter J. M. Knoben, Louise Arnal, Miguel Lagos‐Zúñiga, Martyn Clark, Ximena Vargas
Publikováno v:
Earth's Future, Vol 12, Iss 8, Pp n/a-n/a (2024)
Abstract Characterizing climate change impacts on water resources typically relies on Global Climate Model (GCM) outputs that are bias‐corrected using observational data sets. In this process, two pivotal decisions are (a) the Bias Correction Metho
Externí odkaz:
https://doaj.org/article/1140f2e71f8c45d9a43dffb3474d981d
Publikováno v:
Earth and Space Science, Vol 6, Iss 8, Pp 1460-1468 (2019)
The leaky pipeline phenomenon refers to the disproportionate decline of female scientists at higher academic career levels and is a major problem in the natural sciences. Identifying the underlying causes is challenging, and thus, solving the problem
Externí odkaz:
https://doaj.org/article/40cc6f919d254182854f738ab775279c
Publikováno v:
Geoscientific Model Development. 15:6359-6369
The Modular Assessment of Rainfall–Runoff Models Toolbox (MARRMoT) is a flexible modelling framework reproducing the behaviour of 47 established hydrological models. This toolbox can be used to calibrate and run models in a user-friendly and consis
Autor:
Wouter J. M. Knoben, Diana Spieler
Estimating the impact of different sources of uncertainty along the modelling chain is an important skill graduates are expected to have. Broadly speaking, educators can cover uncertainty in hydrological modelling by differentiating uncertainty in da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1117a21539b1da94b3100f15ff19b0f
https://hess.copernicus.org/articles/26/3299/2022/
https://hess.copernicus.org/articles/26/3299/2022/
Publikováno v:
Geoscientific Model Development, Vol 12, Pp 2463-2480 (2019)
Knoben, W J M, Freer, J E, Fowler, K J A, Peel, M C & Woods, R A 2019, ' Modular Assessment of Rainfall-Runoff Models Toolbox (MARRMoT) v1.2 : an open-source, extendable framework providing implementations of 46 conceptual hydrologic models as continuous state-space formulations ', Geoscientific Model Development, vol. 12, no. 6, pp. 2463-2480 . https://doi.org/10.5194/gmd-12-2463-2019
Knoben, W J M, Freer, J E, Fowler, K J A, Peel, M C & Woods, R A 2019, ' Modular Assessment of Rainfall-Runoff Models Toolbox (MARRMoT) v1.2 : an open-source, extendable framework providing implementations of 46 conceptual hydrologic models as continuous state-space formulations ', Geoscientific Model Development, vol. 12, no. 6, pp. 2463-2480 . https://doi.org/10.5194/gmd-12-2463-2019
This paper presents the Modular Assessment of Rainfall–Runoff Models Toolbox (MARRMoT): a modular open-source toolbox containing documentation and model code based on 46 existing conceptual hydrologic models. The toolbox is developed in MATLAB and
Autor:
Wouter J. M. Knoben, Reza Zolfaghari, Kevin R. Green, Andrew Ireson, Andrew Bennett, Raymond J. Spiteri, Bart Nijssen, Sean Trim, Martyn P. Clark
Publikováno v:
Journal of Hydrometeorology.
The intent of this paper is to encourage improved numerical implementation of land models. Our contributions in this paper are two-fold. First, we present a unified framework to formulate and implement land model equations. We separate the representa
Comparing impact of ERA5 vs ERAInterim on hydrology using the eWaterCycle Open Hydrological Platform
Autor:
Jannis M. Hoch, B. Jagers, Fabrizio Fenicia, Shervan Gharari, Emiliano Gelati, Eric W. H. Hutton, Laurène Bouaziz, Jerom Aerts, Andrew Bennett, Caitlyn Hall, Willem van Verseveld, Leonard Santos, Lieke A. Melsen, Marco Dal Molin, Wouter J. M. Knoben, Niels Drost, Lousie Arnal, Rolf Hut, Fedor Baart
Model comparisons are an important exercise to gain new hydrological insight from the diversity in our communities hydrological models. Current practice in model comparison studies is to have each model be run by the creator/representative of that mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0538aaf7deb52e78880d9d1a45ac554e
https://doi.org/10.5194/egusphere-egu21-9452
https://doi.org/10.5194/egusphere-egu21-9452
Thorough evaluation of model fidelity is critical to have faith in a model’s capability to simulate surprise; i.e. in the model’s capability to accurately simulate hydrologic behavior under changing conditions. We define three elements that shoul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5add1c8a1af904e145e68193371cd423
https://doi.org/10.5194/egusphere-egu21-3102
https://doi.org/10.5194/egusphere-egu21-3102