4.5 Article

Spatio-temporal variability of turbid freshwater plumes in the Inner Sea of Chiloe, northern Patagonia

期刊

JOURNAL OF MARINE SYSTEMS
卷 228, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.jmarsys.2022.103709

关键词

Freshwater discharge; River plumes; MODIS; Northern Patagonia; Climate indices

资金

  1. ANID-Chile through FONDECYT, Chile [11190209, 11190378, 1190805]
  2. FONDAP, Chile [15110017]
  3. Millennium Science Initiative Nucleus UPWELL [NCN19-153]
  4. CYTED program [520RT0010]
  5. Fondo de Investigacion Estrategica en Sequia -ANID grant [FSEQ210030]
  6. Millennium Science Initiative Program [ICN2019_015]
  7. FONDECYT, Chile [1190805]
  8. COPAS COASTAL ANID [FB210021]
  9. Graduate School at Universidad Tecnica Federico Santa Maria
  10. FONDEQUIP [EQM160167]

向作者/读者索取更多资源

This study characterizes the variability of turbid freshwater plumes in northern Patagonia using satellite data for the first time. The analysis shows that the plume variability is related to river discharge and large-scale climatic variability. The study also identifies a threshold value to determine plume occurrence and reveals different modes of plume variability. These findings contribute to a better understanding of hydrographic and ecological processes in the region.
Northern Patagonia is characterized by multiple rivers that discharge considerable amounts of freshwater into the coastal ocean, forming large river plumes that influence hydrographic and ecological processes. In this study, we use satellite ocean color data from MODIS (Moderate Resolution Imaging Spectroradiometer) to characterize the seasonal and interannual variability of turbid freshwater plumes in the inner waters of northern Patagonia for the first time, with a focus on the connections to river discharge and large-scale climatic variability. The turbidity signal from the surface reflectance product centered at 645 nm, Rrs(645), correlates well with peaks in river discharge data and surface salinity minima from boat-based profiles and a surface buoy, validating its use for the identification of turbid river plumes in the region. The seasonal climatology of Rrs(645) showed the presence of large river plumes throughout the year, with variability associated mainly to that of river discharge. Analysis of Rrs(645) fields under low and high discharge conditions allowed for the identification of a threshold value to delineate plume fronts and determine the probability of plume occurrence. EOF analysis reveals the dominant modes of plume variability, associated to turbidity differences between the coastal margin and deeper waters and to in-phase variability of large river plumes throughout the study area. The largest plume event occurred in year 2008, during negative (cold) phases of ENSO (La Nina) and PDO but a positive phase of SAM. The severe drought event of 2016 that occurred during positives phase of ENSO (El Nino), PDO and SAM is well captured by the EOF analysis and is characterized by large negative anomalies in the Rrs(645) signal. In general, complex co-variations are observed between monthly anomalies of Rrs(645) and the ENSO, PDO and SAM indices, highlighting the heterogeneity of climatic regulation in the region.

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