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.
(2021) Environmental Modelling and Software, volume 139, pp. 1 - 21
(Article)
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
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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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Keywords: Delft3D, Numerical simulation, Remote sensing, Water temperature, Wind, WRF, Taverne, Software, Environmental Engineering, Ecological Modelling
ISSN: 1364-8152
Publisher: Elsevier BV
Note: Funding Information: We thank the EPAs of the Autonomous Province of Trento (APPA), Veneto (ARPAV) and Lombardia Regions (ARPAL), and Edmund Mach Foundation (FEM), for kindly providing most of the observations used in this study. We are grateful to Circolo Vela Arco for logistic support during the IMAU-UniTrento field campaign, and to the firefigthers nautical rescue team of Trento (Corpo Permanente dei Vigili del Fuoco Trento) and M. van Haren for their assistance in the deployment and recovery of the NIOZ mooring. We also acknowledge Giuliano Morini, Bryan Brouwer and Bouke Biemond who contributed to the data processing, and Menno Genseberger (Deltares) for the initial setup of the Delft3D model of Lake Garda. The Delft3D simulations were carried out on the Cartesius supercomputer at SURFsara ( www.surfsara.nl ). Part of this work was supported by Utrecht University , by EU Horizon 2020 programme (EOMORES, grant agreement no. 730066; Water-ForCE, grant agreement no. 101004186) and by the WATER-Sat project (CNR DIT.012.115.001). Funding Information: We thank the EPAs of the Autonomous Province of Trento (APPA), Veneto (ARPAV) and Lombardia Regions (ARPAL), and Edmund Mach Foundation (FEM), for kindly providing most of the observations used in this study. We are grateful to Circolo Vela Arco for logistic support during the IMAU-UniTrento field campaign, and to the firefigthers nautical rescue team of Trento (Corpo Permanente dei Vigili del Fuoco Trento) and M. van Haren for their assistance in the deployment and recovery of the NIOZ mooring. We also acknowledge Giuliano Morini, Bryan Brouwer and Bouke Biemond who contributed to the data processing, and Menno Genseberger (Deltares) for the initial setup of the Delft3D model of Lake Garda. The Delft3D simulations were carried out on the Cartesius supercomputer at SURFsara (www.surfsara.nl). Part of this work was supported by Utrecht University, by EU Horizon 2020 programme (EOMORES, grant agreement no. 730066; Water-ForCE, grant agreement no. 101004186) and by the WATER-Sat project (CNR DIT.012.115.001). Publisher Copyright: © 2021 Elsevier Ltd
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