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- e1b54a28-af57-47ad-8291-bdbf723481b1 TargetsLocation 41cd228c-4677-4900-9507-70144d8b50bc @default.
- e1b54a28-af57-47ad-8291-bdbf723481b1 type Models @default.
- e1b54a28-af57-47ad-8291-bdbf723481b1 type Science_Keyword @default.
- e1b54a28-af57-47ad-8291-bdbf723481b1 broader 1eb0ea0a-312c-4d74-8d42-6f1ad758f999 @default.
- e1b54a28-af57-47ad-8291-bdbf723481b1 broader 894f9116-ae3c-40b6-981d-5113de961710 @default.
- e1b54a28-af57-47ad-8291-bdbf723481b1 broader e1f20631-b5b9-438c-b5c2-b1fa0fce100a @default.
- e1b54a28-af57-47ad-8291-bdbf723481b1 definition "Glaciohydrological models GHMs allow us to develop an understanding of how future climate change will affect river flow regimes in glaciated watersheds A variety of simplified GHM structures and parameterisations exist yet the performance of these are rarely quantified at the process level or with metrics beyond global summary statistics A fuller understanding of the deficiencies in competing model structures and parameterisations and the ability of models to simulate physical processes require performance metrics utilising the full range of uncertainty information within input observations Here the glaciohydrological characteristics of the Virkisá River basin in southern Iceland are characterised using 33 signatures derived from observations of ice melt snow coverage and river discharge The uncertainty of each set of observations is harnessed to define the limits of acceptability LOA a set of criteria used to objectively evaluate the acceptability of different GHM structures and parameterisations This framework is used to compare and diagnose deficiencies in three melt and three runoffrouting model structures Increased model complexity is shown to improve acceptability when evaluated against specific signatures but does not always result in better consistency across all signatures emphasising the difficulty in appropriate model selection and the need for multimodel prediction approaches to account for model selection uncertainty Melt and runoffrouting structures demonstrate a hierarchy of influence on river discharge signatures with melt model structure having the most influence on discharge hydrograph seasonality and runoffrouting structure on shortertimescale discharge events None of the tested GHM structural configurations returned acceptable simulations across the full population of signatures The framework outlined here provides a comprehensive and rigorous assessment tool for evaluating the acceptability of different GHM process hypotheses Future melt and runoff model forecasts should seek to diagnose structural model deficiencies and evaluate diagnostic signatures of system behaviour using a LOA framework" @default.
- e1b54a28-af57-47ad-8291-bdbf723481b1 prefLabel "GLACIO_HYDROLOGICAL_MODELS" @default.