Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 4.252 IF 4.252
  • IF 5-year value: 4.890 IF 5-year 4.890
  • CiteScore value: 4.49 CiteScore 4.49
  • SNIP value: 1.539 SNIP 1.539
  • SJR value: 2.404 SJR 2.404
  • IPP value: 4.28 IPP 4.28
  • h5-index value: 40 h5-index 40
  • Scimago H index value: 51 Scimago H index 51
GMD | Articles | Volume 12, issue 1
Geosci. Model Dev., 12, 195-213, 2019
https://doi.org/10.5194/gmd-12-195-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Geosci. Model Dev., 12, 195-213, 2019
https://doi.org/10.5194/gmd-12-195-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Model evaluation paper 09 Jan 2019

Model evaluation paper | 09 Jan 2019

Reanalysis of the PacIOOS Hawaiian Island Ocean Forecast System, an implementation of the Regional Ocean Modeling System v3.6

Dale Partridge et al.
Related authors  
Drivers of future seasonal cycle changes in oceanic pCO2
M. Angeles Gallego, Axel Timmermann, Tobias Friedrich, and Richard E. Zeebe
Biogeosciences, 15, 5315-5327, https://doi.org/10.5194/bg-15-5315-2018,https://doi.org/10.5194/bg-15-5315-2018, 2018
Short summary
Different approaches to model the nearshore circulation in the south shore of O'ahu, Hawaii
Joao Marcos Azevedo Correia de Souza and Brian Powell
Ocean Sci., 13, 31-46, https://doi.org/10.5194/os-13-31-2017,https://doi.org/10.5194/os-13-31-2017, 2017
Short summary
Development and evaluation of a high-resolution reanalysis of the East Australian Current region using the Regional Ocean Modelling System (ROMS 3.4) and Incremental Strong-Constraint 4-Dimensional Variational (IS4D-Var) data assimilation
Colette Kerry, Brian Powell, Moninya Roughan, and Peter Oke
Geosci. Model Dev., 9, 3779-3801, https://doi.org/10.5194/gmd-9-3779-2016,https://doi.org/10.5194/gmd-9-3779-2016, 2016
Short summary
Hindcasting the continuum of Dansgaard–Oeschger variability: mechanisms, patterns and timing
L. Menviel, A. Timmermann, T. Friedrich, and M. H. England
Clim. Past, 10, 63-77, https://doi.org/10.5194/cp-10-63-2014,https://doi.org/10.5194/cp-10-63-2014, 2014
Carbon dioxide and climate impulse response functions for the computation of greenhouse gas metrics: a multi-model analysis
F. Joos, R. Roth, J. S. Fuglestvedt, G. P. Peters, I. G. Enting, W. von Bloh, V. Brovkin, E. J. Burke, M. Eby, N. R. Edwards, T. Friedrich, T. L. Frölicher, P. R. Halloran, P. B. Holden, C. Jones, T. Kleinen, F. T. Mackenzie, K. Matsumoto, M. Meinshausen, G.-K. Plattner, A. Reisinger, J. Segschneider, G. Shaffer, M. Steinacher, K. Strassmann, K. Tanaka, A. Timmermann, and A. J. Weaver
Atmos. Chem. Phys., 13, 2793-2825, https://doi.org/10.5194/acp-13-2793-2013,https://doi.org/10.5194/acp-13-2793-2013, 2013
Related subject area  
Oceanography
Ecological ReGional Ocean Model with vertically resolved sediments (ERGOM SED 1.0): coupling benthic and pelagic biogeochemistry of the south-western Baltic Sea
Hagen Radtke, Marko Lipka, Dennis Bunke, Claudia Morys, Jana Woelfel, Bronwyn Cahill, Michael E. Böttcher, Stefan Forster, Thomas Leipe, Gregor Rehder, and Thomas Neumann
Geosci. Model Dev., 12, 275-320, https://doi.org/10.5194/gmd-12-275-2019,https://doi.org/10.5194/gmd-12-275-2019, 2019
Short summary
Thetis coastal ocean model: discontinuous Galerkin discretization for the three-dimensional hydrostatic equations
Tuomas Kärnä, Stephan C. Kramer, Lawrence Mitchell, David A. Ham, Matthew D. Piggott, and António M. Baptista
Geosci. Model Dev., 11, 4359-4382, https://doi.org/10.5194/gmd-11-4359-2018,https://doi.org/10.5194/gmd-11-4359-2018, 2018
Short summary
Data assimilation cycle length and observation impact in mesoscale ocean forecasting
Paul Sandery
Geosci. Model Dev., 11, 4011-4019, https://doi.org/10.5194/gmd-11-4011-2018,https://doi.org/10.5194/gmd-11-4011-2018, 2018
Short summary
Verification of the mixed layer depth in the OceanMAPS operational forecast model for Austral autumn
Daniel Boettger, Robin Robertson, and Gary B. Brassington
Geosci. Model Dev., 11, 3795-3805, https://doi.org/10.5194/gmd-11-3795-2018,https://doi.org/10.5194/gmd-11-3795-2018, 2018
Short summary
A global scavenging and circulation ocean model of thorium-230 and protactinium-231 with improved particle dynamics (NEMO–ProThorP 0.1)
Marco van Hulten, Jean-Claude Dutay, and Matthieu Roy-Barman
Geosci. Model Dev., 11, 3537-3556, https://doi.org/10.5194/gmd-11-3537-2018,https://doi.org/10.5194/gmd-11-3537-2018, 2018
Short summary
Cited articles  
Bennett, A.: Inverse Modeling of the Ocean and Atmosphere, Cambridge University Press, https://doi.org/10.1017/CBO9780511535895, 2002. a
Broquet, G., Edwards, C., Moore, A., Powell, B., Veneziani, M., and Doyle, J.: Application of 4D-Variational data assimilation to the California Current System, Dynam. Atmos. Oceans, 48, 69–92, https://doi.org/10.1016/j.dynatmoce.2009.03.001, 2009. a
Chapman, D. C.: Numerical Treatment of Cross-Shelf Open Boundaries in a Barotropic Coastal Ocean Model, J. Phys. Oceanogr., 15, 1060–1075, https://doi.org/10.1175/1520-0485(1985)015<1060:NTOCSO>2.0.CO;2, 1985. a
Chassignet, E. P., Hurlburt, H. E., Smedstad, O. M., Halliwell, G. R., Hogan, P. J., Wallcraft, A. J., Baraille, R., and Bleck, R.: The HYCOM (HYbrid Coordinate Ocean Model) data assimilative system, J. Marine Syst., 65, 60–83, https://doi.org/10.1016/j.jmarsys.2005.09.016,2007. a
Chavanne, C., Flament, P., Lumpkin, R., Dousset, B., and Bentamy, A.: Scatterometer observations of wind variations induced by oceanic islands: Implications for wind-driven ocean circulation, Can. J. Remote Sens., 28, 466–474, https://doi.org/10.5589/m02-047, 2002. a, b
Publications Copernicus
Download
Short summary
This paper demonstrates the improvements made to an operational ocean forecast model around the Hawaiian Islands by performing a reanalysis of the model over a 10-year period. Using a number of different measurements we show the role a variety of observations play in producing the forecast, in particular the contribution of high-frequency radar.
This paper demonstrates the improvements made to an operational ocean forecast model around the...
Citation
Share