1 / 13

Carmen E. Morales - Samuel Hormazabal Isabel Andrade - Marco Correa-Ramírez

High resolution time-space variability of satellite chlorophyll-a in the coastal and coastal transition zones off central-southern Chile (33-42ºS) PERU-CHILE CURRENT SYSTEM. Carmen E. Morales - Samuel Hormazabal Isabel Andrade - Marco Correa-Ramírez Universidad de Concepción

cathy
Télécharger la présentation

Carmen E. Morales - Samuel Hormazabal Isabel Andrade - Marco Correa-Ramírez

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. High resolution time-space variability of satellite chlorophyll-a in the coastal and coastal transition zones off central-southern Chile (33-42ºS) PERU-CHILE CURRENT SYSTEM Carmen E. Morales - Samuel HormazabalIsabel Andrade - Marco Correa-Ramírez Universidad de Concepción P. Universidad Católica de Valparaíso CHILE (FONDECYT 1120504) Bathymetry (m)

  2. BACKGROUND COASTAL ZONE OFF CENTRAL-SOUTHERN CHILE CHARACTERIZED BY HAVING A STRONG SEASONALITY IN WIND-DRIVEN UPWELLING PROCEESES, CHLOROPHYLL-a CONCENTRATION AND PHOTOSYNTHETIC PRIMARY PRODUCTION. • DATA SETS FOR CHLOROPHYLL-a: • IN SITU SNAPSHOTS FROM DIFFERENT STUDIES • IN SITU FIXED TIME SERIES STATION (ST. 18 OFF CONCEPCION) SINCE 2002 • REGIONAL SATELLITE TIME SERIES (100, 9, AND 4 km) NEW TOY TO PLAY WITH: HIGHER RESOLUTION SATELLITE DATA

  3. MOTIVATION CONSIDERING A HIGHER RESOLUTION DATA, WHICH ARE THE MOST SIGNIFICANT SCALES OF TIME-SPACE VARIABILITY IN PHYTOPLANKTON BIOMASS ALONG THE COAST AND ACROSS-SHORE? * * * MEAN VALUES 2002-2012 Chl-a (mg m-3) SST (ºC) Wind stress (N m-2) wind stress curl (10-7 N m-3)

  4. APPROACHES AND METHODS DATA - Time series satellite data: 2002-2012 Chlorophyll-a (OC3 algorithm, Werdell 2009) and SST: daily and 1X1 km resolution, MODIS Aqua mission (http://oceancolor.gsfc.nasa.gov/). Note: 5 d average and DINEOF interpolation(Alvera-Azcárateet al. 2007) Surface wind: wind stress and wind stress curl: daily and 25x25 km resolution, Cross-Calibrated Multi-Platform Surface Ocean Wind product (CCMP); (ftp://podaac-ftp.jpl.nasa.gov/allData/ccmp/L3.0/). • ANALYSIS • Multi-Taper Method - Singular Value Decomposition- (MTM-SVD)*  Time-space variability of the main frequencies of Chl-a or other: • graphs of local fractional variance (LFV) and their significance • percentage of the variance explained by each frequency in different areas within the region of study (spatial reconstruction of the variance) • oscillation patterns in each frequency (phases and signal propagation) • * Correa-Ramírez & Hormazabal, 2012 (doi:103856/vol40-issue4-fulltext-19)

  5. MAIN FREQUENCIES OF VARIABILITY OF CHL-a Dominantfrequencies of variability in Chl-a: semi-annual, annual, and inter-annual Similarities in thevariability of frequenciesbetweenthecoastal band (<100 km) and thewholeregion (coast + CTZ)

  6. CONTRIBUTION OF THE DOMINANT FREQUENCIES OF CHL-a VARIABILITY IN THE SPACE DOMAIN INTER-ANNUAL ANNUAL SEMI-ANNUAL

  7. ANNUAL CYCLE OF CHL-a (anomalies) WINTER SPRING SUMMER AUTUMN

  8. MAIN FREQUENCIES OF VARIABILITY CHL-a, SST, AND WIND CoastalChl-a Coastal SST

  9. ANNUAL CYCLE OF (anomalies) WIND STRESS (color) AND WIND STRESS CURL (grey line) WINTER SPRING SUMMER AUTUMN

  10. PATTERNS OF CHL-a, SST, Wind VARIABILITY - COASTAL Chl-a SST Windforcing NIÑO NIÑA NIÑO NIÑA EL NIÑO 3.4

  11. CONCLUSIONS Dominant frequency of Chl-a variability in the region: annual – associated with wind and SST variability Higher (inter-annual) and lower (semi-annual) frequencies also important but beyond the coastal band. In the coastal band, the patterns of the annual phytoplankton cycle: An alongshore propagation of the Chl-a increase a strong latitudinal zonation of the Chl-a 2 breaks in continuity (at ~37 and 40°S, two main upwelling centers). In the CTZ, the highest mean Chl-a (>0.5 mg/m3) extended out to ~200 km offshore in the northern region (33-38°S) whereas it was about half that width in the southern region (38-42°S) associated to a change in wind stress and wind stress curl.

  12. PUZZLE Offshore annual cycle of Chl-a in opposite phase with coastal Chl-a (Yuras et al., 2005). Between the coast and the offshore, a band of ~60-80 km with no significant annual variability  annual increase in Chl-a in the coastal band does not propagates to offshore waters. Implications: Chl-a increases in the CTZ depend on in situ growth of phytoplankton (no advection from coast) -- a process most likely linked to eddy pumping via mesoscale eddies. Assumption: eddy generation has no annual frequency! IS THAT TRUE ??? OTHER EXPLANATIONS?????

More Related