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.

Multi-scale evaluation of a 3D lake model forced by an atmospheric model against standard monitoring data / Amadori, Marina; Giovannini, Lorenzo; Toffolon, Marco; Piccolroaz, Sebastiano; Zardi, Dino; Bresciani, Mariano; Giardino, Claudia; Luciani, Giulia; Kliphuis, Michael; van Haren, Hans; Dijkstra, Henk A.. - In: ENVIRONMENTAL MODELLING & SOFTWARE. - ISSN 1364-8152. - 139:(2021), pp. 105017.1-105017.21. [10.1016/j.envsoft.2021.105017]

Multi-scale evaluation of a 3D lake model forced by an atmospheric model against standard monitoring data

Amadori, Marina;Giovannini, Lorenzo;Toffolon, Marco;Piccolroaz, Sebastiano;Zardi, Dino;
2021-01-01

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.
2021
Amadori, Marina; Giovannini, Lorenzo; Toffolon, Marco; Piccolroaz, Sebastiano; Zardi, Dino; Bresciani, Mariano; Giardino, Claudia; Luciani, Giulia; Kliphuis, Michael; van Haren, Hans; Dijkstra, Henk A.
Multi-scale evaluation of a 3D lake model forced by an atmospheric model against standard monitoring data / Amadori, Marina; Giovannini, Lorenzo; Toffolon, Marco; Piccolroaz, Sebastiano; Zardi, Dino; Bresciani, Mariano; Giardino, Claudia; Luciani, Giulia; Kliphuis, Michael; van Haren, Hans; Dijkstra, Henk A.. - In: ENVIRONMENTAL MODELLING & SOFTWARE. - ISSN 1364-8152. - 139:(2021), pp. 105017.1-105017.21. [10.1016/j.envsoft.2021.105017]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/299833
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