Articles | Volume 19, issue 6
https://doi.org/10.5194/os-19-1687-2023
© Author(s) 2023. 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-19-1687-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
04 Dec 2023
Research article |
| 04 Dec 2023
| 04 Dec 2023
Modeling the interannual variability in Maipo and Rapel river plumes off central Chile
Julio Salcedo-Castro
CORRESPONDING AUTHOR
Institute for Marine and Antarctic Studies, College of Sciences and Engineering, University of Tasmania, Hobart, Australia
School of Earth and Atmospheric Sciences, Faculty of Science, Queensland University of Technology, Brisbane, Australia
Sino-Australian Research Consortium for Coastal Management, School of Science, UNSW Canberra, Canberra, ACT, Australia
Antonio Olita
National Research Council – Institute of Atmospheric Sciences and Climate, Cagliari, Italy
Freddy Saavedra
Geografía, Facultad de Ciencias Naturales y Exactas, Universidad de Playa Ancha, Valparaíso, Chile
Laboratorio de Teledetección Ambiental (TeleAmb), Universidad de Playa Ancha, Valparaíso, Chile
HUB Ambiental, Universidad de Playa Ancha, Valparaíso, Chile
Gonzalo S. Saldías
Departamento de Física, Facultad de Ciencias, Universidad del Bío-Bío, Concepción, Chile
Instituto Milenio en Socio-Ecología Costera (SECOS), Santiago, Chile
Centro de Investigación Oceanográfica COPAS Coastal, Universidad de Concepción, Concepción, Chile
Raúl C. Cruz-Gómez
Departamento de Física, Universidad de Guadalajara, Blvd. Marcelino García Barragín y Calzada Olímpica C.P. 44840, Guadalajara, Jalisco, Mexico
Cristian D. De la Torre Martínez
Departamento de Física, Universidad de Guadalajara, Blvd. Marcelino García Barragín y Calzada Olímpica C.P. 44840, Guadalajara, Jalisco, Mexico
Related authors
No articles found.
Federico Angel Velázquez-Muñoz, Raúl Candelario Cruz-Gómez, and Cesar Monzon
EGUsphere, https://doi.org/10.5194/egusphere-2024-3403, https://doi.org/10.5194/egusphere-2024-3403, 2024
Short summary
Short summary
We identify the Mexican Coastal Current interaction with coastline using sea level anomaly and derived geostrophic velocities, finding that an average width of 95 km and an average speed of 0.3 m/s width seasonal variability. Numerical modeling proves that interaction of coastal current with the coastline generates ocean eddies in some places that form a wide concavity. These eddies are formed while the current is present getting intense and detaching from the coast until the current weakens.
Pedro Figueroa, Gonzalo Saldías, and Susan Allen
EGUsphere, https://doi.org/10.5194/egusphere-2024-2386, https://doi.org/10.5194/egusphere-2024-2386, 2024
Short summary
Short summary
Submarine canyons are topographic features found along the continental slope worldwide. Here we use numerical simulations to study how a submarine canyon influences the circulation near the coast when winds moving poleward influence the region. Our results show that submarine canyons modify the circulation near the coast, causing strong velocities perpendicular to the coast. These changes can trap particles inside the canyon, an important mechanism to explain its role as a biological hotspot.
Alexis Caro, Thomas Condom, Antoine Rabatel, Nicolas Champollion, Nicolás García, and Freddy Saavedra
The Cryosphere, 18, 2487–2507, https://doi.org/10.5194/tc-18-2487-2024, https://doi.org/10.5194/tc-18-2487-2024, 2024
Short summary
Short summary
The glacier runoff changes are still unknown in most of the Andean catchments, thereby increasing uncertainties in estimating water availability, especially during the dry season. Here, we simulate glacier evolution and related glacier runoff changes across the Andes between 2000 and 2019. Our results indicate a glacier reduction in 93 % of the catchments, leading to a 12 % increase in glacier melt. These results can be downloaded and integrated with discharge measurements in each catchment.
Charles Troupin, Ananda Pascual, Simon Ruiz, Antonio Olita, Benjamin Casas, Félix Margirier, Pierre-Marie Poulain, Giulio Notarstefano, Marc Torner, Juan Gabriel Fernández, Miquel Àngel Rújula, Cristian Muñoz, Eva Alou, Inmaculada Ruiz, Antonio Tovar-Sánchez, John T. Allen, Amala Mahadevan, and Joaquín Tintoré
Earth Syst. Sci. Data, 11, 129–145, https://doi.org/10.5194/essd-11-129-2019, https://doi.org/10.5194/essd-11-129-2019, 2019
Short summary
Short summary
The AlborEX (the Alboran Sea Experiment) consisted of an experiment in the Alboran Sea (western Mediterranean Sea) that took place between 25 and 31 May 2014, and use a wide range of oceanographic sensors. The dataset provides information on mesoscale and sub-mesoscale processes taking place in a frontal area. This paper presents the measurements obtained from these sensors and describes their particularities: scale, spatial and temporal resolutions, measured variables, etc.
Federica Pessini, Antonio Olita, Yuri Cotroneo, and Angelo Perilli
Ocean Sci., 14, 669–688, https://doi.org/10.5194/os-14-669-2018, https://doi.org/10.5194/os-14-669-2018, 2018
Short summary
Short summary
The Algerian Basin plays a key role in the WMED, and the formation and propagation of mesoscale structures strongly influence its circulation. They transport water masses, heat, salts and other properties and also have an impact on chlorophyll and fisheries. We investigated the spatial and temporal distribution of the eddies by applying a detection and tracking method to altimetry data. The results show mesoscale structures with different origins, behaviours and energies.
Freddy A. Saavedra, Stephanie K. Kampf, Steven R. Fassnacht, and Jason S. Sibold
The Cryosphere, 12, 1027–1046, https://doi.org/10.5194/tc-12-1027-2018, https://doi.org/10.5194/tc-12-1027-2018, 2018
Short summary
Short summary
This manuscript presents a large latitude and elevation range analysis for snow trends in the Andes using satellite images (MODIS) snow cover product. The research approach is also significant because it presents a novel strategy for defining trends in snow persistence from remote sensing data, and this allows us to improve understanding of climate change effects on snow in areas with sparse and unevenly ground climate data.
Giovanni Coppini, Palmalisa Marra, Rita Lecci, Nadia Pinardi, Sergio Cretì, Mario Scalas, Luca Tedesco, Alessandro D'Anca, Leopoldo Fazioli, Antonio Olita, Giuseppe Turrisi, Cosimo Palazzo, Giovanni Aloisio, Sandro Fiore, Antonio Bonaduce, Yogesh Vittal Kumkar, Stefania Angela Ciliberti, Ivan Federico, Gianandrea Mannarini, Paola Agostini, Roberto Bonarelli, Sara Martinelli, Giorgia Verri, Letizia Lusito, Davide Rollo, Arturo Cavallo, Antonio Tumolo, Tony Monacizzo, Marco Spagnulo, Rorberto Sorgente, Andrea Cucco, Giovanni Quattrocchi, Marina Tonani, Massimiliano Drudi, Paola Nassisi, Laura Conte, Laura Panzera, Antonio Navarra, and Giancarlo Negro
Nat. Hazards Earth Syst. Sci., 17, 533–547, https://doi.org/10.5194/nhess-17-533-2017, https://doi.org/10.5194/nhess-17-533-2017, 2017
Short summary
Short summary
SeaConditions aims to support the users by providing the environmental information in due time and with adequate accuracy in the marine and coastal environments, enforcing users' sea situational awareness. SeaConditions consists of a web and mobile application for the provision of meteorological and oceanographic observation and forecasting products. The iOS/Android apps were downloaded by more than 105 000 users and more than 100 000 users have visited the web version (www.sea-conditions.com).
Andrea Cucco, Giovanni Quattrocchi, Antonio Olita, Leopoldo Fazioli, Alberto Ribotti, Matteo Sinerchia, Costanza Tedesco, and Roberto Sorgente
Nat. Hazards Earth Syst. Sci., 16, 1553–1569, https://doi.org/10.5194/nhess-16-1553-2016, https://doi.org/10.5194/nhess-16-1553-2016, 2016
Short summary
Short summary
This work explored the importance of considering the tidal dynamics when modelling the general circulation in the Messina Strait, a narrow passage connecting the Tyrrhenian and the Ionian Sea sub-basins in the Western Mediterranean Sea. The results highlight that tidal dynamics deeply impact the reproduction of the instantaneous and residual circulation pattern, waters thermohaline properties and transport dynamics both inside the Messina Strait and in the surrounding coastal and open waters.
S. R. Fassnacht, M. L. Cherry, N. B. H. Venable, and F. Saavedra
The Cryosphere, 10, 329–339, https://doi.org/10.5194/tc-10-329-2016, https://doi.org/10.5194/tc-10-329-2016, 2016
Short summary
Short summary
We used 60 years of daily meteorological data from 20 stations across the US Northern Great Plains to examine climate trends, focusing on the winter climate. Besides standard climate trends, we computed trends in snowfall amounts, days with precipitation, days with snow, and modelled winter albedo (surface reflectivity). Daily minimum temperatures and days with precipitation increased at most locations, while winter albedo decreased at many stations. There was much spatial variability.
A. Olita, I. Iermano, L. Fazioli, A. Ribotti, C. Tedesco, F. Pessini, and R. Sorgente
Ocean Sci., 11, 657–666, https://doi.org/10.5194/os-11-657-2015, https://doi.org/10.5194/os-11-657-2015, 2015
Short summary
Short summary
The paper studies the impact of the use of relative winds (i.e., winds minus ocean currents) to compute heat and momentum fluxes at sea surface. This was done in an area interested by mesoscale eddies and a local boundary current.
Impact is relevant both for heat and momentum fluxes.
Major differences can be observed in areas with large mesoscale activity.
Results suggest that surface currents component in fluxes computation should not be neglected even at such scales and latitudes.
A. Olita, S. Sparnocchia, S. Cusí, L. Fazioli, R. Sorgente, J. Tintoré, and A. Ribotti
Ocean Sci., 10, 657–666, https://doi.org/10.5194/os-10-657-2014, https://doi.org/10.5194/os-10-657-2014, 2014
Related subject area
Approach: Numerical Models | Properties and processes: Coastal and near-shore processes
A three-quantile bias correction with spatial transfer for the correction of simulated European river runoff to force ocean models
High-resolution numerical modelling of seasonal volume, freshwater, and heat transport along the Indian coast
Mechanisms and intraseasonal variability in the South Vietnam Upwelling, South China Sea: the role of circulation, tides, and rivers
Exploring water accumulation dynamics in the Pearl River estuary from a Lagrangian perspective
Exploring the tidal response to bathymetry evolution and present-day sea level rise in a channel–shoal environment
Influence of stratification and wind forcing on the dynamics of Lagrangian residual velocity in a periodically stratified estuary
Interannual variability of Sea Surface Salinity in North-Eastern Tropical Atlantic: influence of freshwater fluxes
Fjord circulation permits a persistent subsurface water mass in a long, deep mid-latitude inlet
Salt intrusion dynamics in a well-mixed sub-estuary connected to a partially to well-mixed main estuary
Transport dynamics in a complex coastal archipelago
Short-term prediction of the significant wave height and average wave period based on the variational mode decomposition–temporal convolutional network–long short-term memory (VMD–TCN–LSTM) algorithm
Stefan Hagemann, Thao Thi Nguyen, and Ha Thi Minh Ho-Hagemann
Ocean Sci., 20, 1457–1478, https://doi.org/10.5194/os-20-1457-2024, https://doi.org/10.5194/os-20-1457-2024, 2024
Short summary
Short summary
We have developed a methodology for the bias correction of simulated river runoff to force ocean models in which low, medium, and high discharges are corrected once separated at the coast. We show that the bias correction generally leads to an improved representation of river runoff in Europe. The methodology is suitable for model regions with a sufficiently high coverage of discharge observations, and it can be applied to river runoff based on climate hindcasts or climate change simulations.
Kunal Madkaiker, Ambarukhana D. Rao, and Sudheer Joseph
Ocean Sci., 20, 1167–1185, https://doi.org/10.5194/os-20-1167-2024, https://doi.org/10.5194/os-20-1167-2024, 2024
Short summary
Short summary
Using a high-resolution model, we estimated the volume, freshwater, and heat transports along Indian coasts. Affected by coastal currents, transport along the eastern coast is highly seasonal, and the western coast is impacted by intraseasonal oscillations. Coastal currents and equatorial forcing determine the relation between NHT and net heat flux in dissipating heat in coastal waters. The north Indian Ocean functions as a heat source or sink based on seasonal flow of meridional heat transport.
Marine Herrmann, Thai To Duy, and Patrick Marsaleix
Ocean Sci., 20, 1013–1033, https://doi.org/10.5194/os-20-1013-2024, https://doi.org/10.5194/os-20-1013-2024, 2024
Short summary
Short summary
In summer, deep, cold waters rise to the surface along and off the Vietnamese coast. This upwelling of water lifts nutrients, inducing biological activity that is important for fishery resources. Strong tides occur on the shelf off the Mekong Delta. By increasing the mixing of ocean waters and modifying currents, they are a major factor in the development of upwelling on the shelf, accounting for ~75 % of its average summer intensity.
Mingyu Li, Alessandro Stocchino, Zhongya Cai, and Tingting Zu
Ocean Sci., 20, 931–944, https://doi.org/10.5194/os-20-931-2024, https://doi.org/10.5194/os-20-931-2024, 2024
Short summary
Short summary
In this study, we explored how water accumulates in a coastal estuary, a key factor affecting the estuary's environmental health and ecosystem. We revealed significant bottom accumulations influenced by plume fronts and velocity convergence, with notable seasonal variability. By analyzing trajectories, we identified subregions with distinct accumulation patterns and examined their interconnections, highlighting the substantial impact of tides and river discharge on these dynamics.
Robert Lepper, Leon Jänicke, Ingo Hache, Christian Jordan, and Frank Kösters
Ocean Sci., 20, 711–723, https://doi.org/10.5194/os-20-711-2024, https://doi.org/10.5194/os-20-711-2024, 2024
Short summary
Short summary
Most coastal environments are sheltered by tidal flats and salt marshes. These habitats are threatened from drowning under sea level rise. Contrary to expectation, recent analyses in the Wadden Sea showed that tidal flats can accrete faster than sea level rise. We found that this phenomenon was facilitated by the nonlinear link between tidal characteristics and coastal bathymetry evolution. This link caused local and regional tidal adaptation with sharp increase–decrease edges at the coast.
Fangjing Deng, Feiyu Jia, Rui Shi, Shuwen Zhang, Qiang Lian, Xiaolong Zong, and Zhaoyun Chen
Ocean Sci., 20, 499–519, https://doi.org/10.5194/os-20-499-2024, https://doi.org/10.5194/os-20-499-2024, 2024
Short summary
Short summary
Southwesterly winds impact cross-estuary flows by amplifying the eddy viscosity component during smaller tides. Moreover, they modify along-estuary gravitational circulation by diminishing both the barotropic and baroclinic components. Stratification results in contrasting sheared flows, distinguished by different dominant components compared to destratified conditions. Additionally, the eddy viscosity component is governed by various subcomponents in diverse stratified waters.
Clovis Thouvenin-Masson, Jacqueline Boutin, Vincent Échevin, Alban Lazar, and Jean-Luc Vergely
EGUsphere, https://doi.org/10.5194/egusphere-2024-818, https://doi.org/10.5194/egusphere-2024-818, 2024
Short summary
Short summary
Our research focuses on understanding the impact of river runoff and precipitation on sea surface salinity (SSS) in the eastern Southern North Tropical Atlantic (e-SNTA) region off Northwest Africa. By analyzing regional simulations and observational data, we find that river flows significantly influence SSS variability, particularly after the rainy season. Our findings underscore that a main source of uncertainty to represent SSS variability in this region comes from river runoffs estimates.
Laura Bianucci, Jennifer M. Jackson, Susan E. Allen, Maxim V. Krassovski, Ian J. W. Giesbrecht, and Wendy C. Callendar
Ocean Sci., 20, 293–306, https://doi.org/10.5194/os-20-293-2024, https://doi.org/10.5194/os-20-293-2024, 2024
Short summary
Short summary
While the deeper waters in the coastal ocean show signs of climate-change-induced warming and deoxygenation, some fjords can keep cool and oxygenated waters in the subsurface. We use a model to investigate how these subsurface waters created during winter can linger all summer in Bute Inlet, Canada. We found two main mechanisms that make this fjord retentive: the typical slow subsurface circulation in such a deep, long fjord and the further speed reduction when the cold waters are present.
Zhongyuan Lin, Guang Zhang, Huazhi Zou, and Wenping Gong
Ocean Sci., 20, 181–199, https://doi.org/10.5194/os-20-181-2024, https://doi.org/10.5194/os-20-181-2024, 2024
Short summary
Short summary
From 2021 to 2022, a particular sub-estuary (East River estuary) suffered greatly from an enhanced salt intrusion. We conducted observation analysis, numerical simulations, and analytical solution to unravel the underlying mechanisms. This study is of help in the investigation of salt dynamics in sub-estuaries connected to main estuaries and of implications for mitigating salt intrusion problems in the regions.
Elina Miettunen, Laura Tuomi, Antti Westerlund, Hedi Kanarik, and Kai Myrberg
Ocean Sci., 20, 69–83, https://doi.org/10.5194/os-20-69-2024, https://doi.org/10.5194/os-20-69-2024, 2024
Short summary
Short summary
We studied circulation and transports in the Archipelago Sea (in the Baltic Sea) with a high-resolution hydrodynamic model. Transport dynamics show different variabilities in the north and south, so no single transect can represent transport through the whole area in all cases. The net transport in the surface layer is southward and follows the alignment of the deeper channels. In the lower layer, the net transport is southward in the northern part of the area and northward in the southern part.
Qiyan Ji, Lei Han, Lifang Jiang, Yuting Zhang, Minghong Xie, and Yu Liu
Ocean Sci., 19, 1561–1578, https://doi.org/10.5194/os-19-1561-2023, https://doi.org/10.5194/os-19-1561-2023, 2023
Short summary
Short summary
Accurate wave forecasts are essential to marine engineering safety. The research designs a model with combined signal decomposition and multiple neural network algorithms to predict wave parameters. The hybrid wave prediction model has good robustness and generalization ability. The contribution of the various algorithms to the model prediction skill was analyzed by the ablation experiments. This work provides a neoteric view of marine element forecasting based on artificial intelligence.
Cited articles
Abrosimova, A., Zhabin, I., and Dubina, V.: Influence of the Amur River runoff on the hydrological conditions of the Amur Liman and Sakhalin Bay (Sea of Okhotsk) during the spring-summer flood, Tech. rep., V. I. Il'ichev Pacific Oceanological Institute, FEB RAS, Vladivostok, Russia, https://doi.org/10.3103/S1068373910040084, 2009. a
Aguirre, C., Pizarro, Ó., Strub, P. T., Garreaud, R., and Barth, J. A.: Seasonal dynamics of the near-surface alongshore flow off central Chile, J. Geophys. Res.-Oceans, 117, C01006, https://doi.org/10.1029/2011JC007379, 2012. a, b, c, d
Alvarez-Garreton, C., Mendoza, P. A., Boisier, J. P., Addor, N., Galleguillos, M., Zambrano-Bigiarini, M., Lara, A., Puelma, C., Cortes, G., Garreaud, R., McPhee, J., and Ayala, A.: The CAMELS-CL dataset: catchment attributes and meteorology for large sample studies – Chile dataset, Hydrol. Earth Syst. Sci., 22, 5817–5846, https://doi.org/10.5194/hess-22-5817-2018, 2018. a
Alvarez-Garreton, C., Boisier, J. P., Garreaud, R., Seibert, J., and Vis, M.: Progressive water deficits during multiyear droughts in basins with long hydrological memory in Chile, Hydrol. Earth Syst. Sci., 25, 429–446, https://doi.org/10.5194/hess-25-429-2021, 2021. a
Archetti, R. and Mancini, M.: Freshwater dispersion plume in the sea: Dynamic description and case study, in: Hydrodynamics – Natural Water Bodies, edited by: Schulz, H. E., Simoes, A. L. A., and Lobosco, R. J., IntechOpen, London, https://doi.org/10.5772/28390, 2012. a
Bai, Y., He, X., Pan, D., Zhu, Q., Lei, H., Tao, B., and Hao, Z.: The extremely high concentration of suspended particulate matter in Changjiang Estuary detected by MERIS data, in: Remote Sensing of the Coastal Ocean, Land, and Atmosphere Environment, 1–14 October 2010, Incheon, Republic of Korea, vol. 7858, p. 78581D, SPIE, https://doi.org/10.1117/12.869632, 2010. a
Bainbridge, Z. T., Wolanski, E., Álvarez-Romero, J. G., Lewis, S. E., and Brodie, J. E.: Fine sediment and nutrient dynamics related to particle size and floc formation in a Burdekin River flood plume, Australia, Mar. Pollut. Bull., 65, 236–248, https://doi.org/10.1016/j.marpolbul.2012.01.043, 2012. a, b
Bao, S., Wang, H., Zhang, R., Yan, H., Chen, J., and Bai, C.: Application of Phenomena-Resolving Assessment Methods to Satellite Sea Surface Salinity Products, Earth Space Sci., 8, 1–14, https://doi.org/10.1029/2020EA001410, 2021. a
Basdurak, N. and Largier, J.: Wind Effects on Small-Scale River and Creek Plumes, J. Geophys. Res.-Oceans, 128, e2021JC018381, https://doi.org/10.1029/2021JC018381, 2023. a
Berghuijs, W. R., Woods, R. A., and Hrachowitz, M.: A precipitation shift from snow towards rain leads to a decrease in streamflow, Nat. Clim. Change, 4, 583–586, https://doi.org/10.1038/nclimate2246, 2014. a
Blaas, M., Dong, C., Marchesiello, P., McWilliams, J. C., and Stolzenbach, K. D.: Sediment-transport modeling on Southern Californian shelves: A ROMS case study, Cont. Shelf Res., 27, 832–853, https://doi.org/10.1016/j.csr.2006.12.003, 2007. a
Bloodsworth, K. H., Tilburg, C. E., and Yund, P. O.: Influence of a River Plume on the Distribution of Brachyuran Crab and Mytilid Bivalve Larvae in Saco Bay, Maine, Estuar. Coast., 38, 1951–1964, https://doi.org/10.1007/s12237-015-9951-5, 2015. a, b
Burla, M., Baptista, A. M., Zhang, Y., and Frolov, S.: Seasonal and interannual variability of the Columbia River plume: A perspective enabled by multiyear simulation databases, J. Geophys. Res., 115, C00B16, https://doi.org/10.1029/2008JC004964, 2010. a
Carreon-Martinez, L. B., Wellband, K. W., Johnson, T. B., Ludsin, S. A., and Heath, D. D.: Novel molecular approach demonstrates that turbid river plumes reduce predation mortality on larval fish, Mol. Ecol., 23, 5366–5377, https://doi.org/10.1111/mec.12927, 2014. a
Chakraborty, S. and Lohrenz, S. E.: Phytoplankton community structure in the river-influenced continental margin of the northern Gulf of Mexico, Mar. Ecol. Prog. Ser., 521, 31–47, https://doi.org/10.3354/meps11107, 2015. a
Chao, S.-Y.: River-forced estuarine plumes, J. Phys. Oceanogr., 18, 72–88, 1988. a
Chen, F., MacDonald, D. G., and Hetland, R. D.: Lateral spreading of a near-field river plume: Observations and numerical simulations, J. Geophys. Res.-Oceans, 114, C07013, https://doi.org/10.1029/2008JC004893, 2009. a
Chen, Z., Gong, W., Cai, H., Chen, Y., and Zhang, H.: Dispersal of the Pearl River plume over continental shelf in summer, Estuar. Coast. Shelf S., 194, 252–262, https://doi.org/10.1016/j.ecss.2017.06.025, 2017a. a, b
Chen, Z., Pan, J., Jiang, Y., and Lin, H.: Far-reaching transport of Pearl River plume water by upwelling jet in the northeastern South China Sea, J. Marine Syst., 173, 60–69, https://doi.org/10.1016/j.jmarsys.2017.04.008, 2017b. a
Choi, B. J. and Wilkin, J. L.: The effect of wind on the dispersal of the Hudson River plume, J. Phys. Oceanogr., 37, 1878–1897, https://doi.org/10.1175/JPO3081.1, 2007. a
Clark, J. B. and Mannino, A.: The Impacts of Freshwater Input and Surface Wind Velocity on the Strength and Extent of a Large High Latitude River Plume, Front. Mar. Sci., 8, 793217, https://doi.org/10.3389/fmars.2021.793217, 2022. a
Cobb, M., Keen, T. R., and Walker, N. D.: Modeling the circulation of the Atchafalaya Bay system. Part 2: River plume dynamics during cold fronts, J. Coastal Res., 24, 1048–1062, https://doi.org/10.2112/07-0879.1, 2008. a
Debreu, L., Marchesiello, P., Penven, P., and Cambon, G.: Two-way nesting in split-explicit ocean models: Algorithms, implementation and validation, Ocean Model., 49–50, 1–21, https://doi.org/10.1016/j.ocemod.2012.03.003, 2012. a
Delpey, M. T., Ardhuin, F., Otheguy, P., and Jouon, A.: Effects of waves on coastal water dispersion in a small estuarine bay, J. Geophys. Res.-Oceans, 119, 70–86, https://doi.org/10.1002/2013JC009466, 2014. a
Devlin, M. J., Petus, C., da Silva, E., Tracey, D., Wolff, N. H., Waterhouse, J., and Brodie, J.: Water quality and river plume monitoring in the Great Barrier Reef: An overview of methods based on ocean colour satellite data, Remote Sens.-Basel, 7, 12909–12941, https://doi.org/10.3390/rs71012909, 2015. a
Döll, P. and Schmied, H. M.: How is the impact of climate change on river flow regimes related to the impact on mean annual runoff? A global-scale analysis, Environ. Res. Lett., 7, 014037, https://doi.org/10.1088/1748-9326/7/1/014037, 2012. a
Dong, L., Su, J., Ah Wong, L., Cao, Z., and Chen, J. C.: Seasonal variation and dynamics of the Pearl River plume, Cont. Shelf Res., 24, 1761–1777, https://doi.org/10.1016/j.csr.2004.06.006, 2004. a
D'sa, E. J. and Miller, R. L.: Bio-optical properties in waters influenced by the Mississippi River during low flow conditions, Remote Sens. Environ.t, 84, 538–549, 2003. a
Emery, W. J. and Thomson, R. E.: Data Analysis Methods in Physical Oceanography, 2nd edn., Elsevier, Amsterdam, ISBN 0-12-387782-2, 978-0-12-387782-6, 2004. a
Falcieri, F. M., Benetazzo, A., Sclavo, M., Russo, A., and Carniel, S.: Po River plume pattern variability investigated from model data, Cont. Shelf Res., 87, 84–95, https://doi.org/10.1016/j.csr.2013.11.001, 2014. a, b
Fan, Y., Zhang, S., Du, X., Wang, G., Yu, S., Dou, S., Chen, S., Ji, H., Li, P., and Liu, F.: The effects of flow pulses on river plumes in the Yellow River Estuary, in spring, J. Hydroinform., 00, 1–15, https://doi.org/10.2166/hydro.2022.049, 2022. a
Fernández-Nóvoa, D., Mendes, R., DeCastro, M., Dias, J. M., Sánchez-Arcilla, A., and Gómez-Gesteira, M.: Analysis of the influence of river discharge and wind on the Ebro turbid plume using MODIS-Aqua and MODIS-Terra data, J. Marine Syst., 142, 40–46, https://doi.org/10.1016/j.jmarsys.2014.09.009, 2015. a, b
Fiedler, P. C. and Laurs, R. M.: Variability of the Columbia River plume observed in visible and infrared satellite imagery, Int J. Remote Sens., 11, 999–1010, 1990. a
Flores, R. P., Williams, M. E., and Horner-Devine, A. R.: River Plume Modulation by Infragravity Wave Forcing, Geophys. Res. Lett., 49, e2021GL097467, https://doi.org/10.1029/2021GL097467, 2022. a, b, c, d
Fong, D. A. and Rockwell Geyer, W.: Response of a river plume during an upwelling favorable wind event, J. Geophys. Res.-Oceans, 106, 1067–1084, https://doi.org/10.1029/2000JC900134, 2001. a
Forrest, B. M., Gillespie, P. A., Cornelisen, C. D., and Rogers, K. M.: Multiple indicators reveal river plume influence on sediments and benthos in a New Zealand coastal embayment, New Zeal. J. Mar. Fresh., 41, 13–24, 2007. a
Freeman, N. M. and Lovenduski, N. S.: Mapping the Antarctic Polar Front: weekly realizations from 2002 to 2014, Earth Syst. Sci. Data, 8, 191–198, https://doi.org/10.5194/essd-8-191-2016, 2016. a
Fulton, D. P.: Modeling the Columbia River Plume on the Oregon Shelf during Summer Upwelling, Tech. Rep., Cooperative Institute for Oceanographic Satellite Studies, 14 p., 2007. a
García Berdeal, I., Hickey, B. M., and Kawase, M.: Influence of wind stress and ambient flow on a high discharge river plume, J. Geophys. Res.-Oceans, 107, 3130, https://doi.org/10.1029/2001jc000932, 2002. a
Garreaud, R. D. and Falvey, M.: The coastal winds off western subtropical South America in future climate scenarios, Int. J. Climatol., 29, 543–554, https://doi.org/10.1002/joc.1716, 2009. a
Hernandez, D., Mendoza, P. A., Boisier, J. P., and Ricchetti, F.: Hydrologic Sensitivities and ENSO Variability Across Hydrological Regimes in Central Chile (28∘–41∘ S), Water Resour. Res., 58, e2021WR031860, https://doi.org/10.1029/2021wr031860, 2022. a, b
Hernández-Miranda, E., Palma, A. T., and Ojeda, F. P.: Larval fish assemblages in nearshore coastal waters off central Chile: Temporal and spatial patterns, Estuar. Coast. Shelf S., 56, 1075–1092, https://doi.org/10.1016/S0272-7714(02)00308-6, 2003. a
Hetland, R. D.: Relating river plume structure to vertical mixing, J. Phys. Oceanogr., 35, 1667–1688, 2005. a
Hetland, R. D.: The effects of mixing and spreading on density in near-field river plumes, Dyn. Atmos. Oceans, 49, 37–53, https://doi.org/10.1016/j.dynatmoce.2008.11.003, 2010. a
Hickey, B., Geier, S., Kachel, N., and MacFadyen, A.: A bi-directional river plume: The Columbia in summer, Cont. Shelf Res., 25, 1631–1656, https://doi.org/10.1016/j.csr.2005.04.010, 2005. a, b
Hilt, M., Auclair, F., Benshila, R., Bordois, L., Capet, X., Debreu, L., Dumas, F., Jullien, S., Lemarié, F., Marchesiello, P., Nguyen, C., and Roblou, L.: Numerical modelling of hydraulic control, solitary waves and primary instabilities in the Strait of Gibraltar, Ocean Model., 151, 101642, https://doi.org/10.1016/j.ocemod.2020.101642, 2020. a
Horner-Devine, A. R., Hetland, R. D., and MacDonald, D. G.: Mixing and transport in coastal river plumes, 47, 569–594, https://doi.org/10.1146/annurev-fluid-010313-141408, 2015. a, b
Kudela, R. M. and Peterson, T. D.: Influence of a buoyant river plume on phytoplankton nutrient dynamics: What controls standing stocks and productivity?, J. Geophys. Res.-Oceans, 114, C00B11, https://doi.org/10.1029/2008JC004913, 2009. a
Lentz, S. J. and Largier, J.: The influence of wind forcing on the Chesapeake Bay buoyant coastal current, J. Phys. Oceanogr., 36, 1305–1316, 2006. a
Letelier, J., Pizarro, O., and Nuñez, S.: Seasonal variability of coastal upwelling and the upwelling front off central Chile, J. Geophys. Res.-Oceans, 114, C12009, https://doi.org/10.1029/2008JC005171, 2009. a
Liu, W. T., Tang, W., and Polito, P. S.: NASA scatterometer provides global ocean-surface wind fields with more structures than numerical weather prediction, Geophys. Res. Lett., 25, 761, https://doi.org/10.1029/98GL00544, 1998. a
Mallin, M. A., Cahoon, L. B., and Durako, M. J.: Contrasting food-web support bases for adjoining river-influenced and non-river influenced continental shelf ecosystems, Estuar. Coast. Shelf S., 62, 55–62, https://doi.org/10.1016/j.ecss.2004.08.006, 2005. a
Martínez, C., Contreras-López, M., Winckler, P., Hidalgo, H., Godoy, E., and Agredano, R.: Coastal erosion in central Chile: A new hazard?, Ocean Coast Manage., 156, 141–155, https://doi.org/10.1016/j.ocecoaman.2017.07.011, 2018. a, b
Martínez, C., Grez, P. W., Martín, R. A., Acuña, C. E., Torres, I., and Contreras-López, M.: Coastal erosion in sandy beaches along a tectonically active coast: The Chile study case, Prog. Phys. Geog., 46, 250–271, https://doi.org/10.1177/03091333211057194, 2022. a, b
Masotti, I., Aparicio-Rizzo, P., Yevenes, M. A., Garreaud, R., Belmar, L., and Farías, L.: The influence of river discharge on nutrient export and phytoplankton biomass off the Central Chile Coast (33∘–37∘ S): Seasonal cycle and interannual variability, Front. Mar. Sci., 5, 423, https://doi.org/10.3389/fmars.2018.00423, 2018. a, b
Mestres, M., Sierra, J. P., Sánchez-Arcilla, A., González del Río, J., Wolf, T., Rodríguez, A., and Ouillo, S.: Modelling of the Ebro River plume. Validation with field observations, Sci. Mar., 67, 379–391, 2003. a
O'Donnell, J.: The dynamics of estuary plumes and fronts, in: Contemporary Issues in Estuarine Physics, edited by: Valle-Levinson, A., Cambridge University Press, Cambridge, UK, 326 pp., https://doi.org/10.1017/CBO9780511676567.009, 2010. a
Olita, A., Ribotti, A., Sorgente, R., Fazioli, L., and Perilli, A.: SLA - chlorophyll-a variability and covariability in the Algero-Provençal Basin (1997-2007) through combined use of EOF and wavelet analysis of satellite data, Ocean Dyn.s, 61, 89–102, https://doi.org/10.1007/s10236-010-0344-9, 2011a. a
Osadchiev, A., Sedakov, R., and Barymova, A.: Response of a small river plume on wind forcing, Front. Mar. Sci., 8, 809566, https://doi.org/10.3389/fmars.2021.809566, 2021. a
Penven, P., Debreu, L., Marchesiello, P., and McWilliams, J. C.: Evaluation and application of the ROMS 1-way embedding procedure to the central california upwelling system, Ocean Model., 12, 157–187, https://doi.org/10.1016/j.ocemod.2005.05.002, 2006. a
Peterson, J. O. and Peterson, W. T.: Influence of the Columbia River plume (USA) on the vertical and horizontal distribution of mesozooplankton over the Washington and Oregon shelf, ICES J. Mar. Sci., 65, 477–483, 2008. a
Piñones, A., Valle-Levinson, A., Narváez, D. A., Vargas, C. A., Navarrete, S. A., Yuras, G., and Castilla, J. C.: Wind-induced diurnal variability in river plume motion, Estuar. Coast. Shelf S., 65, 513–525, https://doi.org/10.1016/j.ecss.2005.06.016, 2005. a, b
Rojas, C. M., Saldías, G. S., Flores, R. P., Vásquez, S. I., Salas, C., and Vargas, C. A.: A modeling study of hydrographic and flow variability along the river-influenced coastal ocean off central Chile, Ocean Model., 181, 102155, https://doi.org/10.1016/j.ocemod.2022.102155, 2023. a, b, c, d, e, f, g
Salcedo-Castro, J., de Camargo, R., Marone, E., and Sepúlveda, H.: Using the mean pressure gradient and NCEP/NCAR reanalysis to estimate the strength of the South Atlantic Anticyclone, Dyn. Atmos. Oceans, 71, 83–90, https://doi.org/10.1016/j.dynatmoce.2015.06.003, 2015. a
Salcedo-Castro, J., Saldías, G., Saavedra, F., and Donoso, D.: Climatology of Maipo and Rapel river plumes off Central Chile from numerical simulations, Regional Studies in Marine Science, 38, 101389, https://doi.org/10.1016/j.rsma.2020.101389, 2020. a, b, c
Saldías, G. S. and Lara, C.: Satellite-derived sea surface temperature fronts in a river-influenced coastal upwelling area off central – southern Chile, Regional Studies in Marine Science, 37, 101322, https://doi.org/10.1016/j.rsma.2020.101322, 2020. a
Saldías, G. S., Largier, J. L., Mendes, R., Pérez-Santos, I., Vargas, C. A., and Sobarzo, M.: Satellite-measured interannual variability of turbid river plumes off central-southern Chile: Spatial patterns and the influence of climate variability, Prog. Oceanogr., 146, 212–222, https://doi.org/10.1016/j.pocean.2016.07.007, 2016a. a, b, c, d, e, f
Saldías, G. S., Shearman, R. K., Barth, J. A., and Tufillaro, N.: Optics of the offshore Columbia River plume from glider observations and satellite imagery, J. Geophys. Res.-Oceans, 121, 2367–2384, 2016b. a
Shchepetkin, A. F. and McWilliams, J. C.: The regional oceanic modeling system (ROMS): A split-explicit, free-surface, topography-following-coordinate oceanic model, Ocean Model., 9, 347–404, https://doi.org/10.1016/j.ocemod.2004.08.002, 2005. a
Simpson, J.: The shelf-sea fronts: implications of their existence and behaviour, Philos. T. R. Soc. S.-A, 302, 531–546, 1981. a
Simpson, J. H., Allen, C. M., and Morris, N. C. G.: Fronts on the continental shelf, J. Geophys. Res.-Oceans, 83, 4607–4614, https://doi.org/10.1029/JC083iC09p04607, 1978. a
Strub, P. T., Mesías, J. M., Montecino, V., Rutlant, J., and Salinas, S.: Coastal ocean circulation off western South America, in: The Sea, Volume 11, edited by: Robinson, A. R. and Brink, K. H., John Wiley and Sons Inc, ISBN 0674017412, 273–313, 1998. 1998. a
Torrence, C. and Compo, G. P.: A practical guide to wavelet analysis, B. Am. Meteorol. Soc., 79, 61–78, 1998. a
Vargas, C. A., Narva, D. A., Piñones, A., Navarrete, S. A., and Lagos, N. A.: River plume dynamic influences transport of barnacle larvae in the inner shelf off central Chile, J. Mar. Biol. Assoc. UK, 86, 1057–1065, 2006. a
Vergara, O. A., Echevin, V., Sobarzo, M., Sepúlveda, H. H., Castro, L., and Soto-Mendoza, S.: Impacts of the freshwater discharge on hydrodynamical patterns in the Gulf of Arauco (central-southern Chile) using a high-resolution circulation model, J. Marine Syst., 240, 103862, https://doi.org/10.1016/j.jmarsys.2023.103862, 2023. a, b
Warrick, J. A., A.k. Mertes, L., Washburn, L., and A. Siegel, D.: A conceptual model for river water and sediment dispersal in the Santa Barbara Channel, California, Cont. Shelf Res., 24, 2029–2043, https://doi.org/10.1016/j.csr.2004.07.010, 2004. a
Winckler, P., Aguirre, C., Farías, L., Contreras-López, M., and Masotti, Í.: Evidence of climate-driven changes on atmospheric, hydrological, and oceanographic variables along the Chilean coastal zone, Clim. Change, 163, 633–652, https://doi.org/10.1007/s10584-020-02805-3, 2020. a, b
Yu, L.: Sea-surface salinity fronts and associated salinity-minimum zones in the tropical ocean, J. Geophys. Res.-Oceans, 120, 4205–4225, https://doi.org/10.1002/2015JC010790, 2015. a
Zhi, H., Wu, H., Wu, J., Zhang, W., and Wang, Y.: River Plume Rooted on the Sea-Floor: Seasonal and Spring-Neap Variability of the Pearl River Plume Front, Front. Mar. Sci., 9, 1–17, https://doi.org/10.3389/fmars.2022.791948, 2022. a
Short summary
Considering the relevance and impact of river discharges on the coastal environment, it is necessary to understand the processes associated with river plume dynamics in different regions and at different scales. Modeling studies focused on the eastern Pacific coast under the influence of the Humboldt Current are scarce. Here, we conduct for the first time an interannual modeling study of two river plumes off central Chile and discuss their characteristics.
Considering the relevance and impact of river discharges on the coastal environment, it is...
