Ocean Dynamics

, Volume 66, Issue 12, pp 1745–1756 | Cite as

Coupling watersheds, estuaries and regional ocean through numerical modelling for Western Iberia: a novel methodology

  • Francisco CampuzanoEmail author
  • David Brito
  • Manuela Juliano
  • Rodrigo Fernandes
  • Hilda de Pablo
  • Ramiro Neves
Part of the following topical collections:
  1. Topical Collection on Coastal Ocean Forecasting Science supported by the GODAE OceanView Coastal Oceans and Shelf Seas Task Team (COSS-TT)


An original methodology for integrating the water cycle from the rain water to the open ocean by numerical models was set up using an offline coupling technique. The different components of the water continuum, including watersheds, estuaries and ocean, for Western Iberia were reproduced using numerical components of the MOHID Water Modelling System ( This set of models, when combined through this novel methodology, is able to fill information gaps, and to include, in a realistic mode, the fresh water inputs in terms of volume and composition, into a regional ocean model. The designed methodology is illustrated using the Tagus River, estuary and its region of fresh water influence as case study, and its performance is evaluated by means of river flow and salinity observations.


Western Iberia Numerical modelling MOHID Watershed River Estuary PCOMS Tagus ROFI Regional ocean model Offline coupling 



This research was supported by the EMoSEM project, a two-year project (2013–2014) funded by the French National Research Agency (ANR) and the Belgian Science Policy (BELSPO) in the frame of EU FP7 ERA-NET Seas-era. River flow data were provided by the Portuguese National Institute of Water (INAG) through their portal SNIRH ( The authors are grateful to the water utility company SIMTEJO for providing the salinity data from its coastal buoy. The authors would like to thank the anonymous reviewers for their valuable comments and suggestions to improve the quality of the current manuscript.


  1. Ascione KI, Campuzano F, Franz G, Fernandes R, Viegas C, Sobrinho J, de Pablo H, Amaral A, Pinto L, Mateus M, Neves R (2014) Advances in modeling of water quality in estuaries. In: Finkl CW, Makowski C (eds) Remote sensing and modeling. Springer International Publishing, Switzerland, pp. 237–276. doi: 10.1007/978-3-319-06326-3_10 Google Scholar
  2. Banas NS, MacCready P, Hickey BM (2009) The Columbia River plume as cross-shelf exporter and along–coast barrier. Cont Shelf Res 29:292–301CrossRefGoogle Scholar
  3. Braunschweig F, Martins F, Chambel P, Neves R (2003) A methodology to estimate renewal time scales in estuaries: the Tagus estuary case. Ocean Dyn 53(3):137–145CrossRefGoogle Scholar
  4. Brito D, Campuzano FJ, Sobrinho J, Fernandes R, Neves R (2015) Integrating operational watershed and coastal models for the Iberian coast: watershed model implementation—a first approach. Estuar Coast Shelf Sci 167(Part A):138–146. doi: 10.1016/j.ecss.2015.10.022 CrossRefGoogle Scholar
  5. Campuzano FJ, Fernandes R, Leitão PC, Viegas C, de Pablo H, Neves R (2012) Implementing local operational models based on an offline downscaling technique: The Tagus estuary case. Jornadas de Engenharia Hidrográfica, 20–22 June 2012, Lisbon, Portugal. Extended abstracts: 105–108Google Scholar
  6. Chow VT (1959) Open-channel hydraulics. McGraw-Hill, New York, p. 680Google Scholar
  7. De Pablo H, Brito D, Mateus M, Trancoso AR, Campuzano FJ, Pinto L, Neves R (2013) An integration methodology to estimate water fluxes and constituents budgets in coastal areas: application to the Tagus coastal area. In: Mateus M, Neves R (eds) Ocean modelling for coastal management. Case studies with MOHID. IST Press, Lisbon, pp. 213–224Google Scholar
  8. Drillet Y, Bourdalle-Badi R, Siefrid L, Le Provost C (2005) Meddies in the Mercator North Atlantic and Mediterranean Sea eddy-resolving model. J Geophys Res 110(C3):C03016CrossRefGoogle Scholar
  9. EEA (2007) CLC2006 technical guidelines. Technical report, 17. EEA Copenhagen.
  10. Estournel C, Kondrachoff V, Marsaleix P, Vehil R (1997) The plume of the Rhone: numerical simulation and remote sensing. Cont Shelf Res 17(8):899–924CrossRefGoogle Scholar
  11. Garvine RW, Whitney MM (2006) An estuarine box model of freshwater delivery to the coastal ocean for use in climate models. J Mar Res 64:173–194CrossRefGoogle Scholar
  12. Grell GA, Dudhia J, Stauffer D (1994) A description of the fifth-generation Penn State/NCAR Mesoscale Model (MM5). NCAR Technical Note NCAR/TN-398 + STRGoogle Scholar
  13. Herzfeld M (2015) Methods for freshwater riverine input into regional ocean models. Ocean Model 90:1–15CrossRefGoogle Scholar
  14. Lacroix G, Ruddick K, Ozer J, Lancelot C (2004) Modelling the impact of the Scheldt and Rhine/Meuse plumes on the salinity distribution in Belgian waters (southern North Sea). J Sea Res 52:149–163CrossRefGoogle Scholar
  15. Liu Y, MacCready P, Hickey BM, Dever EP, Kosro PM, Banas NS (2009) Evaluation of a coastal ocean circulation model for the Columbia River plume in summer 2004. Journal of Geophysical Research: Oceans 114(C2):2156–2202Google Scholar
  16. Lyard F, Lefevre F, Letellier T, Francis O (2006) Modelling the global ocean tides: modern insights from FES2004. Ocean Dyn 56:394–415CrossRefGoogle Scholar
  17. Mateus M, Riflet G, Chambel P, Fernandes L, Fernandes R, Juliano M, Campuzano F, de Pablo H, Neves R (2012) An operational model for the west Iberian coast: products and services. Ocean Sci 8:713–732CrossRefGoogle Scholar
  18. Mishra AK, Coulibaly P (2009) Developments in hydrometric network design: a review. Rev Geophys 47(2):RG2001CrossRefGoogle Scholar
  19. Neves R (2013) The MOHID concept. In: Mateus M, Neves R (eds) Ocean modelling for coastal management-case studies with MOHID. IST Press, Lisbon, pp. 1–11Google Scholar
  20. Peliz Á, Rosa TL, Santos AMP, Pissarra JL (2002) Fronts, jets, and counter-flows in the western Iberian upwelling system. J Mar Syst 35(1–2):61–77CrossRefGoogle Scholar
  21. Pina RD, Braunschweig F, Silva A, Ochoa-Rodriguez S, Simões NE, Mijic A, Marques AS, Maksimović Č (2015) Urban stormwater modelling with MOHID. UDM 2015 - 10th International Urban Drainage Modelling Conference 20–23 September 2015 Mont-Sainte-Anne, Québec, CanadaGoogle Scholar
  22. Ribeiro AC, Peliz Á, Santos AMP (2005) A study of the response of chlorophyll-a biomass to a winter upwelling event off western Iberia using SeaWiFS and in situ data. J Mar Syst 53:87–107CrossRefGoogle Scholar
  23. Santos AMP, Peliz Á, Dubert J, Oliveira PB, Angélico MM, Ré P (2004) Impact of a winter upwelling event on the distribution and transport of sardine (Sardina pilchardus) eggs and larvae off western Iberia: a retention mechanism. Cont Shelf Res 24(2):149–165CrossRefGoogle Scholar
  24. Santos AMP, Chícharo A, Dos Santos A, Moita T, Oliveira PB, Peliz Á, Ré P (2007) Physical–biological interactions in the life history of small pelagic fish in the western Iberia upwelling ecosystem. Prog Oceanogr 74:192–209CrossRefGoogle Scholar
  25. Schiller RV, Kourafalou VH (2010) Modeling river plume dynamics with the hybrid Coordinate Ocean model. Ocean Modeling 33(1–2):101–117CrossRefGoogle Scholar
  26. Skamarock WC, Klemp JB, Dudhia J, Gill DO, Barker DM, Wang W, Powers JG (2005) A description of the advanced research wrf version 2. Tech. Rep., National Center for Atmospheric ResearchGoogle Scholar
  27. Trancoso AR (2012) Operational modelling as a tool in wind power forecasts and meteorological warnings, PhD in Environmental Engineering, Instituto Superior Técnico, Technical University of LisbonGoogle Scholar
  28. van der Sande CI, de Jong SM, de Roo APJ (2003) A segmentation and classification approach of IKONOS-2 imagery for land cover mapping to assist flood risk and flood damage assessment. Int J Appl Earth Obs Geoinf 4(3):217–229CrossRefGoogle Scholar
  29. Yang P, Ames DP, Fonseca A, Anderson D, Shrestha R, Glenn NF, Cao Y (2014) What is the effect of LiDAR-derived DEM resolution on large-scale watershed model results? Environ Model Softw 58:48–57CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  1. 1.MARETEC, Instituto Superior TécnicoUniversidade de LisboaLisbonPortugal
  2. 2.Action Modulers, Consulting and Technology, Estrada PrincipalMafraPortugal
  3. 3.LAMTec-IDUniversidade dos AçoresPraia da VitoriaPortugal

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