4.6 Article

Evaluation of a long-term hindcast simulation for the Columbia River estuary

期刊

OCEAN MODELLING
卷 99, 期 -, 页码 1-14

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.ocemod.2015.12.007

关键词

Estuarine circulation; Model validation; Autonomous underwater vehicle; Mixing processes

资金

  1. National Science Foundation [OCE-0424602, ACI-1053575]
  2. National Oceanic and Atmospheric Administration [NA11NOS0120036, AB-133F-12-SE-2046]
  3. Bonneville Power Administration [00062251]
  4. Corps of Engineers [W9127N-12-2-007, G13PX01212]

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In order to simulate the biogeochemical function of estuaries across the land-ocean continuum, circulation models must represent a cascade of complex physical processes spanning several spatial and temporal scales. Furthermore, governing physical processes tend to vary under different flow regimes, in response to external forcings. Model validation must therefore cover all relevant flow regimes and span sufficiently long time to represent transient and slowly-varying phenomena. We focus in a multi-year hindcast simulation of the Columbia River estuary - a mesotidal, river-dominated estuary that is also influenced by coastal upwelling in an Eastern Boundary Current system. Model skill is assessed against long-term observational time series, covering the lower estuary (for salinity) as well as most of the tidal river (for water temperature and elevation). In addition, high-resolution profiles of velocity and salinity are used to study salt transport mechanisms at a single station. Results indicate that the model captures the estuarine dynamics of the system, but the skill depends on the flow regime: In general the model performs far better during spring tides (i.e., under partially mixed or time-dependent salt wedge regimes) than under neap tides (i.e., salt wedge and strongly stratified regimes). While the model accurately represents tidal salt transport mechanisms, it tends to underestimate gravitational transport which becomes more important under neap tide conditions. Furthermore, the skill decreases during high river discharge periods, because the model has difficulty capturing the extremely strong stratification characteristic to those periods. (C) 2016 The Authors. Published by Elsevier Ltd.

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