Articles | Volume 16, issue 4
Ocean Sci., 16, 831–845, 2020
https://doi.org/10.5194/os-16-831-2020
Ocean Sci., 16, 831–845, 2020
https://doi.org/10.5194/os-16-831-2020

Research article 17 Jul 2020

Research article | 17 Jul 2020

An approach to the verification of high-resolution ocean models using spatial methods

Ric Crocker et al.

Related authors

Review article: Observations for high-impact weather and their use in verification
Chiara Marsigli, Elizabeth Ebert, Raghavendra Ashrit, Barbara Casati, Jing Chen, Caio A. S. Coelho, Manfred Dorninger, Eric Gilleland, Thomas Haiden, Stephanie Landman, and Marion Mittermaier
Nat. Hazards Earth Syst. Sci., 21, 1297–1312, https://doi.org/10.5194/nhess-21-1297-2021,https://doi.org/10.5194/nhess-21-1297-2021, 2021
Short summary
Using feature-based verification methods to explore the spatial and temporal characteristics of forecasts of the 2019 Chlorophyll-a bloom season over the European North-West Shelf
Marion Mittermaier, Rachel North, Jan Maksymczuk, Christine Pequignet, and David Ford
Ocean Sci. Discuss., https://doi.org/10.5194/os-2020-100,https://doi.org/10.5194/os-2020-100, 2020
Preprint under review for OS
Short summary
The first Met Office Unified Model–JULES Regional Atmosphere and Land configuration, RAL1
Mike Bush, Tom Allen, Caroline Bain, Ian Boutle, John Edwards, Anke Finnenkoetter, Charmaine Franklin, Kirsty Hanley, Humphrey Lean, Adrian Lock, James Manners, Marion Mittermaier, Cyril Morcrette, Rachel North, Jon Petch, Chris Short, Simon Vosper, David Walters, Stuart Webster, Mark Weeks, Jonathan Wilkinson, Nigel Wood, and Mohamed Zerroukat
Geosci. Model Dev., 13, 1999–2029, https://doi.org/10.5194/gmd-13-1999-2020,https://doi.org/10.5194/gmd-13-1999-2020, 2020
Short summary
The impact of a new high-resolution ocean model on the Met Office North-West European Shelf forecasting system
Marina Tonani, Peter Sykes, Robert R. King, Niall McConnell, Anne-Christine Péquignet, Enda O'Dea, Jennifer A. Graham, Jeff Polton, and John Siddorn
Ocean Sci., 15, 1133–1158, https://doi.org/10.5194/os-15-1133-2019,https://doi.org/10.5194/os-15-1133-2019, 2019
Short summary
Can wave coupling improve operational regional ocean forecasts for the north-west European Shelf?
Huw W. Lewis, Juan Manuel Castillo Sanchez, John Siddorn, Robert R. King, Marina Tonani, Andrew Saulter, Peter Sykes, Anne-Christine Pequignet, Graham P. Weedon, Tamzin Palmer, Joanna Staneva, and Lucy Bricheno
Ocean Sci., 15, 669–690, https://doi.org/10.5194/os-15-669-2019,https://doi.org/10.5194/os-15-669-2019, 2019
Short summary

Cited articles

Aznar, R., Sotillo, M., Cailleau, S., Lorente, P., Levier, B., Amo-Baladrón, A., Reffray, G., and Alvarez Fanjul, E.: Strengths and weaknesses of the CMEMS forecasted and reanalyzed solutions for the Iberia-Biscay-Ireland (IBI) waters, J. Marine. Syst., 159, 1–14, https://doi.org/10.1016/j.jmarsys.2016.02.007, 2016. 
Brassington, G.: Forecast Errors, Goodness, and Verification in Ocean Forecasting, J. Marine Res., 75, 403–433, https://doi.org/10.1357/002224017821836851, 2017. 
Brier, G. W.: Verification of Forecasts Expressed in Terms of Probability, Mon. Weather Rev., 78, 1–3, https://doi.org/10.1175/1520-0493(1950)078<0001:VOFEIT>2.0.CO;2, 1950. 
Brown, T. A.: Admissible scoring systems for continuous distributions, Santa Monica, CA, RAND Corporation, available at: https://www.rand.org/pubs/papers/P5235.html (last access: March 2020), 1974. 
Casati, B., Ross, G., and Stephenson, D. B.: A new intensity-scale approach for the verification of spatial precipitation forecasts, Met. Apps., 11, 141–154, https://doi.org/10.1017/S1350482704001239, 2004. 
Download
Short summary
We assessed the potential benefit of a new verification metric, developed by the atmospheric community, to assess high-resolution ocean models against coarser-resolution configurations. Typical verification metrics often do not show any benefit when high-resolution models are compared to lower-resolution configurations. The new metric showed improvements in higher-resolution models away from the grid scale. The technique can be applied to both deterministic and ensemble forecasts.