2014
DOI: 10.1016/j.jmarsys.2013.08.001
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An operational biogeochemical model of the North-East Atlantic: Model description and skill assessment

Abstract: This paper presents a high resolution operational biogeochemical model of the North-East Atlantic that encompasses part of the continental shelf and adjacent deep sea and includes all of Ireland's territorial waters. The setup of the model is described, followed by its skill assessment in reproducing chlorophyll

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Cited by 28 publications
(23 citation statements)
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References 55 publications
(58 reference statements)
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“…We compared the spatial monthly mean modeled surface pCO 2 with the monthly average of the SOCAT pCO 2 data available in each area. Within these areas, we applied the following statistical indicators used in Dabrowski et al (2014) in order to quantitatively assess model skill: model efficiency ME = 1−( (Nash and Sutcliffe, 1970) (Ospar et al, 1998) and percentage of bias PB =| ( (O − M).100)/ O | (Allen et al, 2007), where M stands for modeled pCO 2 and O for observations from SOCAT database, n is the number of observations and σ o is the standard deviation of all observations. These statistics are indicators of the model's performance and provide complementary information of the model skill.…”
Section: Model Evaluation and Validationmentioning
confidence: 99%
See 1 more Smart Citation
“…We compared the spatial monthly mean modeled surface pCO 2 with the monthly average of the SOCAT pCO 2 data available in each area. Within these areas, we applied the following statistical indicators used in Dabrowski et al (2014) in order to quantitatively assess model skill: model efficiency ME = 1−( (Nash and Sutcliffe, 1970) (Ospar et al, 1998) and percentage of bias PB =| ( (O − M).100)/ O | (Allen et al, 2007), where M stands for modeled pCO 2 and O for observations from SOCAT database, n is the number of observations and σ o is the standard deviation of all observations. These statistics are indicators of the model's performance and provide complementary information of the model skill.…”
Section: Model Evaluation and Validationmentioning
confidence: 99%
“…Blue represents a sink of atmospheric CO 2 and red a source. of observations, and PB is the bias normalized by the observations (Dabrowski et al, 2014;Stow et al, 2009). Basically if ME > 0.5, CF < 1 and PB < 20, this indicates that the model is "good/reasonable" when comparing to observations.…”
Section: Model Evaluation and Validationmentioning
confidence: 99%
“…These years, ROMS has been widely adopted by the scientific community for a diverse range of applications (e.g. Dabrowski et al, 2014;Ferrer and Caballero, 2011;Narváez et al, 2015) among which studies on storm surges occupy a significant proportion (Colberg and McInnes, 2012;Yankovsky, 2009). It proves that ROMS can well simulate the spatiotemporal characteristics of sea level and threedimensional flow field of storm surge.…”
Section: Model Descriptionmentioning
confidence: 99%
“…The model-governing equations remain the same as in Fennel et al (2006); however, the rates of the following processes have been altered by the authors to achieve better model skill for Irish waters (see Dabrowski et al, 2014b): zooplankton grazing, nitrification rate, coagulation rate of small detritus and phytoplankton, small detritus remineralization rate and vertical sinking velocities of small detritus, large detritus, and phytoplankton. At the open boundaries of the Bantry Bay model, all biogeochemical model state variables are provided every 3 h and are interpolated from the "parent" northeast Atlantic biogeochemical model.…”
Section: Description Of the Modelsmentioning
confidence: 99%