Zobrazeno 1 - 10
of 294
pro vyhledávání: '"A. H. Weerts"'
Wflow_sbm v0.7.3, a spatially distributed hydrological model: from global data to local applications
Autor:
W. J. van Verseveld, A. H. Weerts, M. Visser, J. Buitink, R. O. Imhoff, H. Boisgontier, L. Bouaziz, D. Eilander, M. Hegnauer, C. ten Velden, B. Russell
Publikováno v:
Geoscientific Model Development, Vol 17, Pp 3199-3234 (2024)
The wflow_sbm hydrological model, recently released by Deltares, as part of the Wflow.jl (v0.7.3) modelling framework, is being used to better understand and potentially address multiple operational and water resource planning challenges from a catch
Externí odkaz:
https://doaj.org/article/e6c8613e9334442fb604b5119950692d
Publikováno v:
Hydrology and Earth System Sciences, Vol 27, Pp 3823-3850 (2023)
Estuarine salt intrusion causes problems with freshwater availability in many deltas. Water managers require timely and accurate forecasts to be able to mitigate and adapt to salt intrusion. Data-driven models derived with machine learning are ideall
Externí odkaz:
https://doaj.org/article/3648efe1f33e4a23800d1321bc2544b0
Autor:
J. P. M. Aerts, R. W. Hut, N. C. van de Giesen, N. Drost, W. J. van Verseveld, A. H. Weerts, P. Hazenberg
Publikováno v:
Hydrology and Earth System Sciences, Vol 26, Pp 4407-4430 (2022)
Distributed hydrological modelling moves into the realm of hyper-resolution modelling. This results in a plethora of scaling-related challenges that remain unsolved. To the user, in light of model result interpretation, finer-resolution output might
Externí odkaz:
https://doaj.org/article/317c4c3da9e7422cbcc27b36b1348840
Autor:
L. J. E. Bouaziz, E. E. Aalbers, A. H. Weerts, M. Hegnauer, H. Buiteveld, R. Lammersen, J. Stam, E. Sprokkereef, H. H. G. Savenije, M. Hrachowitz
Publikováno v:
Hydrology and Earth System Sciences, Vol 26, Pp 1295-1318 (2022)
Future hydrological behavior in a changing world is typically predicted based on models that are calibrated on past observations, disregarding that hydrological systems and, therefore, model parameters may change as well. In reality, hydrological sys
Externí odkaz:
https://doaj.org/article/1054c2d57ccb4e9f854782478a4a892b
Autor:
L. J. E. Bouaziz, F. Fenicia, G. Thirel, T. de Boer-Euser, J. Buitink, C. C. Brauer, J. De Niel, B. J. Dewals, G. Drogue, B. Grelier, L. A. Melsen, S. Moustakas, J. Nossent, F. Pereira, E. Sprokkereef, J. Stam, A. H. Weerts, P. Willems, H. H. G. Savenije, M. Hrachowitz
Publikováno v:
Hydrology and Earth System Sciences, Vol 25, Pp 1069-1095 (2021)
Streamflow is often the only variable used to evaluate hydrological models. In a previous international comparison study, eight research groups followed an identical protocol to calibrate 12 hydrological models using observed streamflow of catchments
Externí odkaz:
https://doaj.org/article/003829148f0e47ccb5a8f1c8d2774873
Publikováno v:
Hydrology and Earth System Sciences, Vol 23, Pp 1779-1800 (2019)
To study the global hydrological cycle and its response to a changing climate, we rely on global climate models (GCMs) and global hydrological models (GHMs). The spatial resolution of these models is restricted by computational resources and therefor
Externí odkaz:
https://doaj.org/article/1ce084a5a20a4aef96eb8ef15f512947
Autor:
A. I. Gevaert, L. J. Renzullo, A. I. J. M. van Dijk, H. J. van der Woerd, A. H. Weerts, R. A. M. de Jeu
Publikováno v:
Hydrology and Earth System Sciences, Vol 22, Pp 4605-4619 (2018)
Soil moisture affects the partitioning of water and energy and is recognized as an essential climate variable. Soil moisture estimates derived from passive microwave remote sensing can improve model estimates through data assimilation, but the rel
Externí odkaz:
https://doaj.org/article/b986f22258e84959a90d1ea517f94fc5
Publikováno v:
Hydrology and Earth System Sciences, Vol 21, Pp 4021-4036 (2017)
A non-parametric method is applied to quantify residual uncertainty in hydrologic streamflow forecasting. This method acts as a post-processor on deterministic model forecasts and generates a residual uncertainty distribution. Based on instance-ba
Externí odkaz:
https://doaj.org/article/da2cc873b0044df3ae5c19be4b5d1f6c
Publikováno v:
Hydrology and Earth System Sciences, Vol 20, Iss 8, Pp 3277-3287 (2016)
Oceanic–atmospheric climate modes, such as El Niño–Southern Oscillation (ENSO), are known to affect the local streamflow regime in many rivers around the world. A new method is proposed to incorporate climate mode information into the well-known
Externí odkaz:
https://doaj.org/article/ff14c5f6755942e8bc32d17511dcbeb2
Publikováno v:
Hydrology and Earth System Sciences, Vol 19, Iss 7, Pp 3181-3201 (2015)
In operational hydrology, estimation of the predictive uncertainty of hydrological models used for flood modelling is essential for risk-based decision making for flood warning and emergency management. In the literature, there exists a variety of me
Externí odkaz:
https://doaj.org/article/8a72572bdaa14f80866b7e376e887d2a