IMIS

Publicaties | Instituten | Personen | Datasets | Projecten | Kaarten
[ meld een fout in dit record ]mandje (0): toevoegen | toon Print deze pagina

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
Peer reviewed article  

Beschikbaar in  Auteurs 

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.

Alle informatie in het Integrated Marine Information System (IMIS) valt onder het VLIZ Privacy beleid Top | Auteurs