2019
DOI: 10.1007/978-3-030-22747-0_25
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The NARVAL Software Toolbox in Support of Ocean Models Skill Assessment at Regional and Coastal Scales

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Cited by 9 publications
(9 citation statements)
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“…Within CMEMS, coordinated model validation activities among different operational and oceanographic research centers have been promoted, assessing a wider range of ocean parameters and comparing different systems (Hernandez et al, 2015). Juza et al (2016) and Lorente et al (2019a) pointed out the need for defining assessment strategies to quantify error propagation through downscaling (from global to regional scales), as well as for specific areas where different model products overlap. To this aim, different multi-parameter multiplatform model validation toolboxes are being developed (i.e., the NARVAL one, used by the CMEMS IBI Monitoring Forecasting Centre to assess its model solutions in terms of mean circulation and water mass properties).…”
Section: Introductionmentioning
confidence: 99%
“…Within CMEMS, coordinated model validation activities among different operational and oceanographic research centers have been promoted, assessing a wider range of ocean parameters and comparing different systems (Hernandez et al, 2015). Juza et al (2016) and Lorente et al (2019a) pointed out the need for defining assessment strategies to quantify error propagation through downscaling (from global to regional scales), as well as for specific areas where different model products overlap. To this aim, different multi-parameter multiplatform model validation toolboxes are being developed (i.e., the NARVAL one, used by the CMEMS IBI Monitoring Forecasting Centre to assess its model solutions in terms of mean circulation and water mass properties).…”
Section: Introductionmentioning
confidence: 99%
“…Daily 3D fields are available over 50 geopotential vertical levels, but in this study hourly fields provided for the upper layer are used (Aznar et al, 2016). The IBI ocean model forecasts are continuously monitored, using to this aim the NARVAL multi-parameter multi-platform validation toolbox (Lorente et al, 2019). This multi-parametric ocean model skill assessment is performed by the IBI-MFC using all available operational observational sources in the IBI model domain.…”
Section: Ocean Modelsmentioning
confidence: 99%
“…The list of observational data source used in the IBI validation includes remote sensed data (i.e., satellite L3 and L4 SST and sea level anomaly products, together with surface currents from coastal HF-Radars stations) and in-situ observations (from moorings and tide gauges and sea level essential variables such as surface temperature, salinity, currents and sea level; as well as from ARGO floats for 3D temperature and salinity). See further details in Lorente et al (2019) for a complete list of the observational products and platforms used, as well as the regions covered, to operationally validate the IBI ocean model product. Furthermore, the CMEMS IBI-MFC forecast model products are qualified before their entry into operational service.…”
Section: Ocean Modelsmentioning
confidence: 99%
“…The accuracy of IBI ocean forecast system is routinely evaluated by means of the NARVAL (North Atlantic Regional VALidation) web-based toolbox (Lorente et al, 2019b). Multi-parameter comparisons against observational sources, encompassing both in situ (buoys, tide-gauges, drifters, gliders, and argo profilers) and remote-sensing (satellite and HFR) platforms, are regularly conducted to achieve a comprehensive 3D skill assessment.…”
Section: Cmems Ibi Circulation Forecast Systemmentioning
confidence: 99%