| one publication added to basket [335036] | 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
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| Author keywords |
Numerical simulation; WRF; Delft3D; Water temperature; Wind; Remote sensing |
| Auteurs | | Top |
- Amadori, M.
- Giovannini, L.
- Toffolon, M.
- Piccolroaz, S.
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- Zardi, D.
- Bresciani, M.
- Giardino, C.
- Luciani, G.
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- Kliphuis, M.
- van Haren, H., meer
- Dijkstra, H.A.
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| 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. |
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