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首页> 外文期刊>Canadian water resources journal >Using the ERA5 and ERA5-Land reanalysis datasets for river water temperature modelling in a datascarce region
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Using the ERA5 and ERA5-Land reanalysis datasets for river water temperature modelling in a datascarce region

机译：Using the ERA5 and ERA5-Land reanalysis datasets for river water temperature modelling in a datascarce region

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It has become apparent in recent decades that river water temperature can have immediateand lasting impacts on aquatic organisms and their lotic habitat. In rivers that are dammed,there is an opportunity and a responsibility to regulate flows in order to control these temperaturesto ensure the survival of the fish and other aquatic life. This paper uses a physically basedhydraulic model (HEC-RAS) to run a water temperature component, allowing the thermal modelto simulate water temperatures at the same hourly time step as the hydraulic model in a datasparseregion using two meteorological reanalysis datasets (ERA5 and ERA5-Land) as inputsallowing for a full representation of the diurnal cycle. This was achieved by making use of theHEC-RAS controller to automate the calibration and subsequent simulation processes. Resultsshow that these products are able to provide high-quality thermal simulations on a 200km riversystem in British Columbia, Canada, obtaining mean absolute errors in validation of 0.66℃ anda root mean square error of 0.84℃. Some of the boundary conditions seemed to have littleeffect on downstream water temperatures. This is due to the measured point of interest beingfar enough downstream of the dam that a thermal equilibrium is reached well before.Simulations using shorter river reaches confirm that long lakes in the study region contribute tothe thermal equilibrium being attained. There also seems to be a limit to the advantage conveyedby increased spatial density of the data, as results indicate a form of skill plateau after acertain input data density is attained.

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