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

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

Authors :
Martina Flörke
Yoshihide Wada
Fulco Ludwig
John A. Harrison
Nynke Hofstra
Maryna Strokal
Yingrong Wen
Richard J. Williams
Michelle T. H. van Vliet
Virginie Keller
J. Emiel Spanier
Source :
Current Opinion in Environmental Sustainability, 36, 59-67, Current Opinion in Environmental Sustainability 36 (2019)
Publication Year :
2019

Abstract

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.

Details

Language :
English
ISSN :
18773435
Volume :
36
Database :
OpenAIRE
Journal :
Current Opinion in Environmental Sustainability
Accession number :
edsair.doi.dedup.....52b985d27aee7c799bdb91908fd9b92c
Full Text :
https://doi.org/10.1016/j.cosust.2018.10.013