Articles | Volume 17, issue 3
https://doi.org/10.5194/os-17-755-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-17-755-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
04 Jun 2021
Research article |
| 04 Jun 2021
| 04 Jun 2021
A new Lagrangian-based short-term prediction methodology for high-frequency (HF) radar currents
Lohitzune Solabarrieta
CORRESPONDING AUTHOR
KAUST, Red Sea Research Center, Integrated Ocean Processes, Thuwal, Saudi
Arabia
AZTI Marine Research, Basque Research and Technology Alliance (BRTA), Pasaia, Spain
Ismael Hernández-Carrasco
Global Change and Operational Oceanography Dept., Instituto Mediterráneo de Estudios Avanzados, IMEDEA (CSIC-UIB), 07190 Esporles, Spain
Anna Rubio
AZTI Marine Research, Basque Research and Technology Alliance (BRTA), Pasaia, Spain
Michael Campbell
KAUST, Red Sea Research Center, Integrated Ocean Processes, Thuwal, Saudi
Arabia
Ganix Esnaola
Nuclear Engineering and Fluid Mechanics Dept., UPV, 20018 Donostia,
Spain
Joint Research Unit BEGIK, (IEO)-(UPV/EHU), 48620 Plentzia, Spain
Julien Mader
AZTI Marine Research, Basque Research and Technology Alliance (BRTA), Pasaia, Spain
Burton H. Jones
KAUST, Red Sea Research Center, Integrated Ocean Processes, Thuwal, Saudi
Arabia
Alejandro Orfila
Global Change and Operational Oceanography Dept., Instituto Mediterráneo de Estudios Avanzados, IMEDEA (CSIC-UIB), 07190 Esporles, Spain
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Cited articles
Abascal, A. J., Castanedo, S., Medina, R., Losada, I. J., and
Álvarez-Fanjul, E.: Application of HF radar currents to oil spill
modelling, Mar. Pollut. Bull., 58, 238–248, 2009.
Abascal A. J., Sanchez, J., Chiri, H., Ferrer, M. I., Cárdenas, M.,
Gallego, A., Castanedo, S., Medina, R., Alonso-Martirena, A., Berx, B.,
Turrell, W. R., and Hughes, S. L.: Operational oil spill trajectory modelling
using HF radar currents: A northwest European continental shelf case study,
Mar. Pollut. Bull., 119, 336–350, https://doi.org/10.1016/j.marpolbul.2017.04.010,
2017.
Abualnaja, Y., Papadopoulos, V. P., Josey, S. A., Hoteit, I., Kontoyiannis,
H., and Raitsos, D. E.: Impacts of climate modes on air–sea heat exchange
in the Red Sea, J. Clim., 28, 2665–2681, https://doi.org/10.1175/JCLI-D-14-00379.1,
2015.
Barrick, D. E.: Extraction of wave parameters from measured HF radar
sea-echo Doppler spectra, Radio Sci., 12, 415–424,
https://doi.org/10.1029/RS012i003p00415, 1977.
Barrick, D. E. and Lipa, B. J.: A Compact Transportable HF Radar System
for Directional Coastal Wave Field Measurements, in: Ocean Wave Climate, Marine Science, edited by: Earle, M. D. and Malahoff, A.,
Vol. 8, Springer, Boston, MA,
https://doi.org/10.1007/978-1-4684-3399-9_7,
1979.
Barrick, D. E., Fernandez, V., Ferrer, M. I., Whelan, C., and Breivik, Ø.:
A short-term predictive system for surface currents from a rapidly
deployed coastal HF-Radar network, Ocean Dynam., 62,
725–740, 2012.
Barth, A., Alvera-Azcárate, A., Beckers, J. M., Staneva, J., Stanev, E. V.,
and Schulz-Stellenfleth, J.: Correcting surface winds by
assimilating high-frequency radar surface currents in the German Bight,
Ocean Dynam., 61, 599–610, https://doi.org/10.1007/s10236-010-0369-0, 2011.
Bellomo, L., Griffa, A., Cosoli, S., Falco, P., Gerin, R., Iermano, I.,
Kalampokis, A., Kokkini, Z., Lana, A., Magaldi, M. G., Mamoutos, I.,
Mantovani, C., Marmain, J., Potiris, E., Sayol, J. M., Barbin, Y., Berta, M.,
Borghini, M., Bussani, A., Corgnati, L., Dagneaux, Q., Gaggelli, J.,
Guterman, P., Mallarino, D., Mazzoldi, A., Molcard, A., Orfila, A., Poulain,
P. M., Quentin, C., Tintoré, J., Uttieri, M., Vetrano, A, Zambianchi, E.,
and Zervakis, V.: Toward an integrated HF radar network in the Mediterranean
Sea to improve search and rescue and oil spill response: the TOSCA project
experience. Toward an integrated HF radar network in the Mediterranean Sea
to improve search and rescue and oil spill response: the TOSCA project
experience, J. Operat. Oceanogr., 8, 95–107, https://doi.org/10.1080/1755876X.2015.1087184, 2015.
Bower, A. S. and Farrar, J. T.: Air–sea interaction and horizontal
circulation in the Red Sea, in:
The Red Sea, Springer Earth System Sciences edited by: Rasul, N. M. A. and Stewart, I. C. F., Berlin, Germany,
Springer, 329–342, https://doi.org/10.1007/978-3-662-45201-1_19, 2015.
Breivik, Ø. and Saetra, Ø.: Real time
assimilation of HF radar currents into a coastal ocean model,
J. Mar. Syst., 28, 161–182, https://doi.org/10.1016/S0924-7963(01)00002-1, 2001.
Chao, Y., Li Z., Farrara, K., McWilliams, J.C., Bellingham, J., Capet, X.,
Chavez, F., Choi, J., Davis, R., Doyle, J., Fratantoni, D. M., Li P.,
Marchesiello, P., Moline, M. A., Paduan, J., and Ramp, S.: Development,
implementation and evaluation of a data-assimilative ocean forecasting
system off the central California coast, Deep-Sea Res.,
56, 100–126, https://doi.org/10.1016/j.dsr2.2008.08.011, 2009.
Crombie, D. D.: Dopler Spectrum of Sea Echo at 13.56-Mc/s', Nature, 175,
681–682, 1955.
Declerck, A., Delpey, M., Rubio, A., Ferrer, L., Basurko, O. C., Mader, J., and
Louzao, M.: Transport of floating marine litter in the coastal area of the
south-eastern Bay of Biscay: A Lagrangian approach using modelling and
observations, J. Operat.
Oceanogr., 12, S111–S125, https://doi.org/10.1080/1755876X.2019.1611708, 2019.
Emery, B. M., Washburn L., and Harlan, J. A.: Evaluating radial current
measurements from CODAR high-frequency radars with moored current meters, J.
Atmos. Ocean. Tech., 21, 1259–1271,
https://doi.org/10.1175/1520-0426(2004)0211259:ERCMFC.2.0.CO;2, 2004.
Esnaola, G., Sáenz, J., Zorita, E., Fontán, A., Valencia, V., and
Lazure, P.: Daily scale] wintertime sea surface temperature and IPC-Navidad
variability in the southern Bay of Biscay from 1981 to 2010, Ocean Sci., 9,
655–679, https://doi.org/10.5194/os-9-655-2013, 2013.
Frolov, S., Paduan, J., Cook, M., and Bellingham, J.: Improved statistical
prediction of surface currents based on historic HF- radar observations,
Ocean Dynam., 62, 1111–1122, https://doi.org/10.1007/ s10236-012-0553-5, 2012.
Hammond, T. M., Pattiaratchi, C. B., Osborne, M. J., Nash, L. A., and Collins, M. B.:
Ocean surface current radar (OSCR) vector measurements on the inner
continental shelf, Cont. Shelf Res., 7, 411–431, https://doi.org/10.1016/0278-4343(87)90108-7, 1987.
Hernández-Carrasco, I., López, C., Hernández-García, E.,
and Turiel, A.: How reliable are finite-size Lyapunov exponents for the
assessment of ocean dynamics?, Ocean Modell., 36, 208–218, 2011.
Hernández-Carrasco, I., Solabarrieta, L., Rubio, A., Esnaola, G., Reyes,
E., and Orfila, A.: Impact of HF radar current gap-filling methodologies on
the Lagrangian assessment of coastal dynamics, Ocean Sci., 14, 827–847,
https://doi.org/10.5194/os-14-827-2018, 2018a.
Hernández-Carrasco, I., Orfila, A., Rossi, V., and Garçon, V.:
Effect of small-scale transport processes on phytoplankton distribution in
coastal seas, Sci. Rep., 8, 8613, https://doi.org/10.1038/s41598-018-26857-9, 2018b.
Jianping, H., Yuhong, Y., Shaowy, W., and Jifen, C.: An analogue-dynamical
long-range numerical weather prediction system incorporating historical
evolution, Q. J. R. Meteorol. Soc., 119, 547–565, 1993.
Kaplan, D. M. and Lekien, F.: Spatial interpolation and filtering of surface
current data based on open-boundary modal analysis, J. Geophys.
Res.-Ocean., 112, c12007, https://doi.org/10.1029/2006JC003984, 2007.
Kohut, J. T. and Glenn, S. M.: Improving HF radar surface current measurements
with measured antenna beam patterns, J. Atmos. Ocean. Technol., 20,
1303–1316, 2003.
Lana, A., Marmain, J., Fernández, V., Tintoré, J., and Orfila, A.: Wind
influence on surface current variability in the Ibiza Channel from HF Radar,
Ocean Dynam., 66, 483–497, https://doi.org/10.1007/s10236-016-0929-z, 2016.
Langodan, S., Cavaleri, L., Vishwanadhapalli, Y., Pomaro, A., Bertotti, L.,
and Hoteit, I.: Climatology of the Red Sea – Part 1: the wind, Int. J. Climatol.,
37, 4509–4517, 2017.
Liu, Y., Weisberg, R. H., and Merz, C. R.: Assessment of CODAR SeaSonde and
WERA HF Radars in Mapping Surface Currents on the West Florida Shelf,
J. Atmos. Ocean. Technol., 31, 1363–1382, 2014.
Lorenz, E. N.: Atmospheric Predictability as Revealed by Naturally Ocurring
Analogues, J. Atmos. Sci., 29, 636–646, 1969.
Manso-Narvarte, I., Caballero, A., Rubio, A., Dufau, C., and Birol, F.:
Joint analysis of coastal altimetry and high-frequency (HF) radar data:
observability of seasonal and mesoscale ocean dynamics in the Bay of Biscay,
Ocean Sci., 14, 1265–1281, https://doi.org/10.5194/os-14-1265-2018, 2018.
Oke, P. R., Allen, J. S., Miller, R. N., Egbert, G. D., and Kosro, P. M.:
Assimilation of surface velocity data into a primitive equation coastal
ocean model, J. Geophys. Res., 107, 3122, https://doi.org/10.1029/2000JC000511, 2002.
Orfila, A., Molcard, A., Sayol, J. M., Marmain, J., Bellomo, L., Quentin, C.,
and Barbin, Y.: Empirical Forecasting of HF-Radar Velocity Using Genetic
Algorithms, IEEE Trans. Geosci. Remote Sens., 53,
2875–2886, 2015.
Ohlmann, C., White, P., Washburn, L., Emery, B., Terrill, E., and Otero, M.:
Interpretation of coastal HF radar–derived surface currents with high-
resolution drifter data, J. Atmos. Oceanic Technol., 24, 666–680, 2007.
Paduan, J. D. and Rosenfeld, L. K.: Remotely sensed surface currents in
Monterey Bay from shore-based HF radar (coastal ocean dynamics application
radar, J. Geophys. Res., 101, 20669–20686, 1996.
Paduan, J. D. and Shulman, I.: HF radar data assimilation in the Monterey
Bay area, J. Geophys Res., 109, C07S09, https://doi.org/10.1029/2003JC001949, 2004.
Paduan, J. D. and Washburn, L.: High-Frequency Radar Observations of Ocean
Surface Currents, Annu. Rev. Marine. Sci., 5, 115–136, 2013.
Paduan, J. D., Kim, K. C., Cook, M. S., and Chavez, F. P.: Calibration and
Validation of Direction-Finding High-Frequency Radar Ocean Surface Current
Observations, IEEE J. Ocean. Eng., 31,862–875, https://doi.org/10.1109/JOE.2006.886195, 2006.
Xavier, P. K. and Goswami, B. N.: An Analog Method for Real-Time
Forecasting of Summer Monsoon Subseasonal Variability, Mon. Eeather
Rev., 135, 4149–4160, https://doi.org/10.1175/2007MWR1854.1, 2007.
Ren, L., Miaro, J., Li, Y., Luo, X., Li, J., and Hartnett, M.: Estimation of
Coastal Currents Using a Soft Computing Method: A Case Study in Galway Bay,
Ireland, Mar. Sci. Eng., 7, 1–17,
https://doi.org/10.3390/jmse7050157, 2019.
Roarty, H., Cook, T., Hazard, L., George, D., Harlan, J., Cosoli, S., Wyatt,
L., Alvarez Fanjul, E., Terrill, E., Otero, M., Largier, J., Glenn, S.,
Ebuchi, N., Whitehouse, B., Bartlett, K., Mader, J., Rubio, A., Corgnati,
L., Mantovani, C., Griffa, A., Reyes, E., Lorente, P., Flores-Vidal, X.,
Saavedra-Matta, K. J., Rogowski, P., Prukpitikul, S., Lee, S. H., Lai, J. W.,
Guerin, C. A., Sanchez, J., Hansen, B., and Grilli, S.: The Global High
Frequency Radar Network, Front. Mar. Sci., 6, 164, https://doi.org/10.3389/fmars.2019.00164, 2019.
Rubio, A., Fontán, A., Lazure, P., González, M., Valencia, V., Ferrer, L., Mader, J.,
and Hernández, C.: Seasonal to tidal variability of currents and
temperature in waters of the continental slope, southeastern Bay of
Biscay, J. Mar. Syst., 109/110, S121–S133,
https://doi.org/10.1016/j.jmarsys.2012.01.004, 2013a.
Rubio, A., Solabarrieta, L., González, M., Mader, J., Castanedo, S., Medina, R., Charria, G.,
and Aranda, J.: Surface circulation and Lagrangian transport in the SE
Bay of Biscay from HF radar data, MTS/IEEE OCEANS—Bergen, 2013, IEEE, 7 pp.,
https://doi.org/10.1109/OCEANS-Bergen.2013.6608039, 2013b.
Rubio, A., Mader, J., Corgnati, L., Mantovani, C., Griffa, A., Novellino,
A., Quentin, C., Wyatt, L., Schulz-Stellenfleth, J., Horstmann, J., Lorente,
P., Zambianchi, E., Hartnett, M., Fernandes, C., Zervakis, V., Gorringe, P.,
Melet, A., and Puillat, I.: HF radar activity in European coastal seas: next
steps towards a pan-European HF radar network, Front. Mar. Sci., 4,
8, https://doi.org/10.3389/fmars.2017.00008, 2017.
Rubio, A., Caballero, A., Orfila, A., Hernández-Carrasco, I., Ferrer,
L., González, M., Solabarrieta, L., and Mader, J.: Eddy-induced
cross-shelf export of high Chl-a coastal waters in the SE Bay of Biscay,
Remote Sens. Environ., 205, 290–304, 2018.
Rubio, A., Manso-Narvarte, I., Caballero, A., Corgnati, L., Mantovani, C.,
Reyes, E., Griffa, A., and Mader, J.: The seasonal intensification of the slope iberian poleward
current, copernicus marine service ocean state report, J. Oper.
Oceanogr., 12, 13–18, https://doi.org/10.1080/1755876X.2019.1633075, 2019.
Rubio, A., Hernández-Carrasco, I., Orfila, A., González, M., Reyes,
E., Corgnati, L., Berta, M., Griffa, A., and Mader, J.: A lagrangian approach to monitor local
particle retention conditions in coastal areas. copernicus marine service
ocean state report, J. Oper. Oceanogr., 13, 1785097, https://doi.org/10.1080/1755876X.2020.1785097, 2020.
Sayol, J. M., Orfila, A., Simarro, G., Conti, G., Renault, L., and Molcard, A.: A
Lagrangian model for tracking surface spills and SaR operations in the
ocean, Env. Mod. Softw., 52, 74–82, https://doi.org/10.1016/j.envsoft.2013.10.013, 2014.
Schmidt, R.: Multiple emitter location and signal parameter estimation, IEEE
Trans. Antennas Propag., 34, 276–280, https://doi.org/10.1109/TAP.1986.1143830, 1986.
Schott F., Frisch, A. S., Leaman, K., Samuels, G., and Popa Fotino, I.:
High-Frequency Doppler Radar Measurementsof the Florida Current in Summer
1983, J. Geophys. Res., 90, 9006–9016, 1985.
Shao, Q. and Li, M.: An improved statistical analogue downscaling procedure
for seasonal precipitation forecast, Stoch. Environ. Res. Risk Assess., 27,
819–830, https://doi.org/10.1007/s00477-012-0610-0, 2013.
Sofianos, S. S. and Johns, W. E.: An oceanic general circulation model
(OGCM) investigation of the Red Sea circulation: 2. Three-dimensional
circulation in the Red Sea, J. Geophys. Res., 108, 3066,
https://doi.org/10.1029/2001jc001185, 2003.
Solabarrieta, L., Rubio, A., Castanedo, S., Medina, R., Charria, G., and
Hernández, C.: Surface water circulation patterns in the southeastern
Bay of Biscay: new evidences from HF radar data, Cont. Shelf Res., 74, 60–76,
https://doi.org/10.1016/j.csr.2013.11.022, 2014.
Solabarrieta, L., Rubio, A., Cárdenas, M., Castanedo, S., Esnaola, G.,
Méndez, F. J., Medina, R., and Ferrer, L.: Probabilistic relationships
be- tween wind and surface water circulation patterns in the SE Bay of
Biscay, Ocean Dynam., 65, 1289–1303, https://doi.org/10.1007/s10236-015-0871-5, 2015.
Solabarrieta, L., Frolov, S., Cook, M., Paduan, J., Rubio, A., González,
M., Mader, J., and Charria, G.: Skill Assessment of HF Radar–Derived
Products for Lagrangian Simulations in the Bay of Biscay, J. Atmos. Ocean.
Technol., 33, 2585–2597, https://doi.org/10.1175/JTECH-D-16-0045.1, 2016.
Stanev, E. V., Schulz-Stellenfleth, J., Staneva, J., Grayek, S., Seemann, J.,
and Petersen, W.: Coastal observing and forecasting system for the German
Bight – estimas of hydrophysical states, Ocean Sci., 7, 569–583,
https://doi.org/10.5194/os-7-569-2011, 2011.
Ullman, D. S., O'Donnell, J., Kohut, J., Fake, T., and Allen, A.: Trajectory
prediction using HF radar surface currents: Monte Carlo simulations of
prediction uncertainties, J. Geophys. Res., 111, C12005, https://doi.org/10.1029/2006JC003715, 2006.
Vilibicì, I., Šepicì, J., Mihanovicì, H., Kalinicì, H., Cosoli, S.,
Janekovicì, I., Žagar, N., Jesenko, B., Tudor, M., Dadicì, V., and
Ivankovicì, D.: Self-organizing maps-based ocean currents forecasting
system, Sci. Rep., 6, 22924, https://doi.org/10.1038srep22924, 2016.
Yao, F., Hoteit, I., Pratt, L. J., Bower, A. S., Zhai, P., Kohl, A., and
Gopalakrishnan, G.: Seasonal overturning circulation in the Red Sea: 1.
Model validation and summer circulation, J. Geophys. Res.-Ocean., 119, 2238–2262,
https://doi.org/10.1002/2013JC009004, 2014a.
Yao, F., Hoteit, I., Pratt, L. J., Bower, A. S., Kohl, A., Gopalakrishnan,
G., and Rivas, D.: Seasonal overturning circulation in the Red Sea: 2.
Winter circulation, J. Geophys. Res.-Ocean., 119, 2263–2289, https://doi.org/10.1002/2013JC009331, 2014b.
Zarokanellos, N. D., Kürten, B., Churchill, J. H., Roder, C., Voolstra,
C. R., Abualnaja, Y., and Jones, B. H.: Physical mechanisms routing
nutrients in the central Red Sea, J. Geophys. Res.-Ocean.,
122, 9032–9046, https://doi.org/10.1002/2017JC013017, 2017a.
Zarokanellos, N. D., Papadopoulos, V. P., Sofianos, S. S., and Jones, B. H.:
Physical and biological characteristics of the winter-summer transition in
the Central Red Sea, J. Geophys. Res.-Ocean., 122,
6355–6370, https://doi.org/10.1002/2017JC012882, 2017b.
Zhan, P., Subramanian, A. C., Yao, F., and Hoteit, I.: Eddies in the Red
Sea: A statistical and dynamical study, J. Geophys. Res.-Ocean., 119,
3909–3925, https://doi.org/10.1002/2013JC009563, 2014.
Zelenke, B. C.: An Empirical Statistical Model Relating Winds and Ocean
Surface Currents, Master of Science in Oceanography – Thesis, Oregon State
University, Oregon State University Publisher, Corvallis, Oregon, 2005.
Short summary
High-frequency radar technology measures coastal ocean surface currents. The use of this technology is increasing as it provides near-real-time information that can be used in oil spill or search-and-rescue emergencies to forecast the trajectories of floating objects. In this work, an analog-based short-term prediction methodology is presented, and it provides surface current forecasts of up to 48 h. The primary advantage is that it is easily implemented in real time.
High-frequency radar technology measures coastal ocean surface currents. The use of this...
