Over het archief
Het OWA, het open archief van het Waterbouwkundig Laboratorium heeft tot doel alle vrij toegankelijke onderzoeksresultaten van dit instituut in digitale vorm aan te bieden. Op die manier wil het de zichtbaarheid, verspreiding en gebruik van deze onderzoeksresultaten, alsook de wetenschappelijke communicatie maximaal bevorderen.
Dit archief wordt uitgebouwd en beheerd volgens de principes van de Open Access Movement, en het daaruit ontstane Open Archives Initiative.
Basisinformatie over ‘Open Access to scholarly information'.
Multi-scale evaluation of a 3D lake model forced by an atmospheric model against standard monitoring data
Amadori, M.; Giovannini, L.; Toffolon, M.; Piccolroaz, S.; Zardi, D.; Bresciani, M.; Giardino, C.; Luciani, G.; Kliphuis, M.; van Haren, H.; Dijkstra, H.A. (2021). Multi-scale evaluation of a 3D lake model forced by an atmospheric model against standard monitoring data. Environ. Model. Softw. 139: 105017. https://doi.org/10.1016/j.envsoft.2021.105017
In: Environmental Modelling & Software. Elsevier: Oxford. ISSN 1364-8152; e-ISSN 1873-6726, meer
|  |
| Author keywords |
Numerical simulation; WRF; Delft3D; Water temperature; Wind; Remote sensing |
| Auteurs | | Top |
- Amadori, M.
- Giovannini, L.
- Toffolon, M.
- Piccolroaz, S.
|
- Zardi, D.
- Bresciani, M.
- Giardino, C.
- Luciani, G.
|
- Kliphuis, M.
- van Haren, H., meer
- Dijkstra, H.A.
|
| Abstract |
Evaluating a three-dimensional lake model requires large datasets of many variables, including velocity fields, that are seldom available. Here we discuss how to assess the performance of a model at multiple scales (in time and space) with data from standard monitoring systems, i.e., mostly limited to water temperature. The modeling chain consists of a lake hydrodynamic model (Delft3D-Flow) forced by an atmospheric model (WRF, Weather Research and Forecasting). The two models are tested on the case study of Lake Garda (Italy), where a comprehensive dataset of atmospheric and water temperature observations is available. Results show that a consistent picture of the inherent dynamics can be reproduced from a heterogeneous set of water temperature data, by distilling information across diverse spatial and temporal scales. The choice of the performance metrics and their limitations are discussed, with a focus on the procedures adopted to manage and homogenize data, visualize results and identify sources of error. |
IMIS is ontwikkeld en wordt gehost door het VLIZ.
