Model inter-comparison design for large-scale water quality models

van Vliet, Michelle T.H.; Flörke, Martina; Harrison, John A.; Hofstra, Nynke; Keller, Virginie; Ludwig, Fulco; Spanier, J. Emiel; Strokal, Maryna; Wada, Yoshihide; Wen, Yingrong; Williams, Richard J.. 2019 Model inter-comparison design for large-scale water quality models [in special issue: Environmental change assessment] Current Opinion in Environmental Sustainability, 36. 59-67.

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Several model inter-comparison projects (MIPs) have been carried out recently by the climate, hydrological, agricultural and other modelling communities to quantify modelling uncertainties and improve modelling systems. Here we focus on MIP design for large-scale water quality models. Water quality MIPs can be useful to improve our understanding of pollution problems and facilitate the development of harmonized estimates of current and future water quality. This can provide new opportunities for assessing robustness in estimates of water quality hotspots and trends, improve understanding of processes, pollution sources, water quality model uncertainties, and to identify priorities for water quality data collection and monitoring. Water quality MIP design should harmonize relevant model input datasets, use consistent spatial/temporal domains and resolutions, and similar output variables to improve understanding of water quality modelling uncertainties and provide harmonized water quality data that suit the needs of decision makers and other users.

Item Type: Publication - Article
Digital Object Identifier (DOI):
CEH Sections/Science Areas: Pollution (Science Area 2017-)
Water Resources (Science Area 2017-)
ISSN: 1877-3435
NORA Subject Terms: Ecology and Environment
Date made live: 29 May 2019 14:43 +0 (UTC)

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