Large-scale Satellite Oceanography in Eastern Pacific Upwelling Regions Andrew Thomas University of Maine Recent manuscript collaborators: Jose Luis Blanco,

Slides:



Advertisements
Similar presentations
Upwelling in the World Ocean
Advertisements

REMOTE SENSING OF SOUTHERN OCEAN AIR-SEA CO 2 FLUXES A.J. Vander Woude Pete Strutton and Burke Hales.
Carmen E. Morales - Samuel Hormazabal Isabel Andrade - Marco Correa-Ramírez Universidad de Concepción P. Universidad Católica de Valparaíso CHILE (FONDECYT.
Particle transport and organic carbon fluxes off NW Africa: impact of dust and carbonate G. Fischer (1), M. Iversen (3, 4), G. Karakas (3), N. Nowald (1),
Modeling Pacific Physical and Biological Processes
Evans Maru Magdalene Wanjiku Noah Adam Purity Mueni Adrajow Admasu.
Low frequency variability of the CCS: effect of the El Nino. X. Capet, J McWilliams, A. Shchepetkin (UCLA) Eastern Pacific Ocean Conference 2004.
Review of Northern Winter 2010/11
Introduction to Ocean Circulation - Geography 163 Wind-driven circulation of major gyres & surface currents Buoyancy-driven circulation linking the major.
Peru upwelling (Chl concentration) Peru Fishery.
Physical Oceanographic Observations and Models in Support of the WFS HyCODE College of Marine Science University of South Florida St. Petersburg, FL HyCode.
Monterey Bay Time Series - El Niños during and Transition from El Viejo to La Vieja - The age of dinoflagellates?
NRL 7343 Nov’97 Seasonal Variability of the surface bio-optical and Thermal Structure of the Japan/East Sea Using AVHRR and SeaWIFS Robert ArnoneRichard.
Average circulation, seasonal cycle and mesoscale dynamics of the Peru Current System: A modeling approach Pierrick Penven (IRD), Vincent Echevin (IRD),
Vikram MehtaNASA SST Science Team Meeting, Seattle8 November 2010 Interannual to Decadal Variability of the West Pacific Warm Pool in Remote Sensing Based.
Multiple-scale Variability in the Southern California Bight Oceanic Current System Changming Charles Dong Institute of Geophysical and Planetary Physics,
The California Current and Coastal Upwelling Allison Parker Physical Oceanography November 20, 2007.
News 8 Girl Scout Day November 1, 2008 “The El Nino Phenomenon” News 8 Austin Weather Burton Fitzsimmons.
MODULATING FACTORS OF THE CLIMATOLOGICAL VARIABILITY OF THE MEXICAN PACIFIC; MODEL AND DATA. ABSTRACT. Sea Surface Temperature and wind from the Comprehensive.
Monthly Composites of Sea Surface Temperature and Ocean Chlorophyll Concentrations These maps were created by Jennifer Bosch by averaging all the data.
Temporal and Spatial Variations of Sea Surface Temperature and Chlorophyll a in Coastal Waters of North Carolina Team Members: Brittany Maybin Yao Messan.
Climate Variability and Phytoplankton Composition in the Pacific Ocean Presented by James Acker Authors: Rousseaux C.S., Gregg W.W., Gregory G. Leptoukh.
1 Improved Sea Surface Temperature (SST) Analyses for Climate NOAA’s National Climatic Data Center Asheville, NC Thomas M. Smith Richard W. Reynolds Kenneth.
Lesson 11: El Niño Southern Oscillation (ENSO) Physical Oceanography
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Satellite Observations of Seasonal Sediment Plume in the Central East China.
Mike McPhaden NOAA/PMEL Seattle, Washington
Abbie Harris - NOAA Ocean Acidification Think Tank #5 Current and Future Research at the Institute for Marine Remote Sensing Abbie Rae Harris Institute.
SIO 210: ENSO conclusion Dec. 2, 2004 Interannual variability (end of this lecture + next) –Tropical Pacific: El Nino/Southern Oscillation –Southern Ocean.
What is El Nino and will it end our drought?. What has caused the drought? We have been experiencing drought conditions since September, We've also.
Who We Are and Why We are Here? PaCOOS Presentation to Chet Koblinski, Ned Cyr and Jack Dunnigan Scripps Institution of Oceanography, 6 June 2005 We are.
SST Diurnal Cycle over the Western Hemisphere: Preliminary Results from the New High-Resolution MPM Analysis Wanqiu Wang, Pingping Xie, and Chenjie Huang.
ABSTRACT In situ and modeled water-column primary production (PPeu) were determined from seasonally IMECOCAL surveys and satellite data off Baja.
Linking sea surface temperature, surface flux, and heat content in the North Atlantic: what can we learn about predictability? LuAnne Thompson School of.
Basic Satellite Data Products Dave Foley CoastWatch Coordinator Joint Institute for Marine and Atmospheric Research University of Hawaii And NOAA Southwest.
Development of an oceanographic observatory in the Mexican Pacific Ocean to understand the pelagic ecosystem response to the climate variability and climate.
Equatorial Pacific primary productivity: Spatial and temporal variability and links to carbon cycling Pete Strutton College of Oceanic and Atmospheric.
CDC Cover. NOAA Lab roles in CCSP Strategic Plan for the U.S. Climate Change Science Program: Research Elements Element 3. Atmospheric Composition Aeronomy.
AOSC 200 Lesson 14. Oceanography The oceans plat three important roles in determining weather and climate (1) They are the major source of water vapor.
1 Global Ocean Monitoring: Recent Evolution, Current Status, and Predictions Prepared by Climate Prediction Center, NCEP September 7, 2007
Satellite Oceanic Observatory Atlas Part I : Historical data Dominique DAGORNE (1) - Hervé DEMARCQ (2) - Laurent DRAPEAU (2) Institut.
Regional Air-Sea Interactions in Eastern Pacific 6th International RSM Workshop Palisades, New York July 11-15, th International RSM Workshop Palisades,
Interannual Time Scales: ENSO Decadal Time Scales: Basin Wide Variability (e.g. Pacific Decadal Oscillation, North Atlantic Oscillation) Longer Time Scales:
U. Victoria Regional Oceanography Affecting the NEPTUNE Array Ken Denman School of Earth and Ocean Sciences & Ocean Networks Canada University of Victoria,
Temporal and Spatial Variation of air-sea CO 2 Fluxes in the West Coast of Baja California, Mexico J. Martín Hernández-Ayón 1,Ruben Lara-Lara 2, Francisco.
Southern Oscillation- Atmospheric component of ocean's El Niño. Oscillation in the distribution of high and low pressure systems across the equatorial.
NRL 7343 Nov’97 Remote Sensing in the Japan East Sea Robert ArnoneRichard Gould Chistine Chan Sherwin Ladner Naval Research Laboratory Stennis Space Center.
Approach: Assimilation Efficiencies The Carbon based model calculates mixed layer NPP (mg m -3 ) as a function of carbon and phytoplankton growth rate:
Regional Oceanography II OEAS 604 Lecture Outline 1)Pacific Ocean circulation 2)Antarctic circulation 3)Climate cycles 4)Atmosphere-ocean coupling Chapters.
Interannual Time Scales: ENSO Decadal Time Scales: Basin Wide Variability (e.g. Pacific Decadal Oscillation, North Atlantic Oscillation) Longer Time Scales:
Scatter plot of minimum pressure and maximum azimuthal wind for Atlantic and Eastern Pacific tropical cyclones ( Hurricane Isaac 2012 [red]).
Possible recruitment of jack mackerel (Trachurus murphyi) from oceanic waters off Chile to the stock in Peruvian and Ecuadorian waters in 2010 Ad Corten.
Jim Greenwood, Richard Matear, Chaojiao Sun, Liejun Zhong, James McLaughlin May 2013 CSIRO MARINE AND ATMOSPHERIC RESEARCH / WEALTH FROM OCEANS Impact.
Giovanni and LOCUS: Innovative Ways for Teachers and Students to Conduct Online Learning and Research with Oceanographic Remote Sensing Data James G. Acker.
Southern California Coast Observed Temperature Anomalies Observed Salinity Anomalies Geostrophic Along-shore Currents Warming Trend Low Frequency Salinity.
Jerome Fiechter Ocean Sciences Department University of California, Santa Cruz ROMS Workshop, Grenoble, 6-8 October 2008 Seasonal and Interannual Ecosystem.
EVAT 554 OCEAN-ATMOSPHERE DYNAMICS UPWELING AND DOWNWELLING; EKMAN TRANSPORT LECTURE 14 (Reference: Peixoto & Oort, Chapter 8,10)
Dr. Neil S. Suits. NASA/Goddard Space Flight Center, The SeaWiFS Project and GeoEye, Scientific Visualization Studio SeaWiFS Ocean Biosphere: 1997 to.
Remote Sensing of the Hydrosphere. The Hydrologic Cycle 70% of Earth is covered by oceans and surface freshwater Residence time varies from seconds to.
El Niño-Southern Oscillation and regional rainfall of Vietnam Ramasamy Suppiah 10 December 2012.
El Niño–Southern Oscillation (ENSO): What is it?
Seasonal Forecast of Antarctic Sea Ice
El Niño / Southern Oscillation
Upwelling in the World Ocean
Upwelling in the World Ocean
Oliver Elison Timm ATM 306 Fall 2016
Please grab the “Dissolved Nutrients” reading passage.
El Nino Upwelling and Ocean Productivity
EL NINO Figure (a) Average sea surface temperature departures from normal as measured by satellite. During El Niño conditions upwelling is greatly.
J.C.A. CEPEDA-MORALES1 and G. GAXIOLA-CASTRO2 RESULTS AND DISCUSSION
Upwelling in the World Ocean
Presentation transcript:

Large-scale Satellite Oceanography in Eastern Pacific Upwelling Regions Andrew Thomas University of Maine Recent manuscript collaborators: Jose Luis Blanco, Mary Elena Carr, Scott Nixon, Jorge Ossus, Ted Strub Valparaiso, January 2003

Interests - Overview Coupling between wind forcing, hydrographic patterns and biological response Focus on phytoplankton biomass response Large-scale view (remote sensing data) requires collaboration - for in situ data - expert local knowledge - I don’t know much Comparisons between eastern boundary current regions California Current – Humboldt Current Benguela Current – Canary Current links to basin scale patterns & low latitude forcing (& high latitude forcing)

Background my South American efforts Older Younger Didn’t know much Still don’t know much Carr M-E., P.T. Strub, A.C. Thomas and J.L. Blanco, 2002, Evolution of La Nina and El Nino conditions off the western coast of South America: a remote sensing perspective, J. Geophys. Res. Blanco J.L., M-E. Carr, A.C. Thomas and P.T. Strub, 2002, Hydrographic conditions off northern Chile during the La Nina and El Nino, J. Geophys. Res. Thomas A.C., M.E. Carr and P. T. Strub, 2001, Chlorophyll variability in eastern boundary currents, Geophys. Res. Lett. Nixon, S.W. and A.C. Thomas, 2001, On the size of the Peru upwelling ecosystem. Deep Sea Res. I. Blanco J.L., A.C. Thomas, M-E. Carr and P.T. Strub, 2001, Seasonal climatology of hydrographic conditions in the upwelling region off northern Chile, J. Geophys. Res. Thomas A.C., J.L. Blanco, M.E. Carr, P.T. Strub and J. Ossus, 2001, Satellite-measured chlorophyll and temperature variability off northern Chile during the La Nina and El Nino, J. Geophys. Res. Thomas A.C., P. T. Strub, M.E. Carr and R. Weatherbee, Comparisons of chlorophyll variability between the four major global eastern boundary currents. Int. J. Rem. Sens. Thomas, A.C. 1999, Seasonal distributions of satellite-measured phytoplankton pigment concentration along the Chilean coast. J. Geophys. Res. Hill, A.E., B.M.Hickey, F.A.Shillington, P.T.Strub, K.H. Brink, E.D.Barton, A.C. Thomas, Eastern Boundary Currents: A Pan-Regional Review. In: The Sea. A.R. Robinson and K.H. Brink, Editors. J.Wiley and Sons Inc. Thomas, A.C., P.T. Strub and S. Levesque Satellite measured ocean color variability at large spatial and temporal scales. World Meteorological Organization, UNESCO. Thomas, A.C., P.T. Strub, F. Huang and C. James A comparison of the seasonal and interannual variability of phytoplankton pigment concentrations in the Peru and California Current System. J. Geophys. Res. Carr M-E., P.T. Strub, A.C. Thomas and J.L. Blanco, 2002, Evolution of La Nina and El Nino conditions off the western coast of South America: a remote sensing perspective, J. Geophys. Res. Blanco J.L., M-E. Carr, A.C. Thomas and P.T. Strub, 2002, Hydrographic conditions off northern Chile during the La Nina and El Nino, J. Geophys. Res. Thomas A.C., M.E. Carr and P. T. Strub, 2001, Chlorophyll variability in eastern boundary currents, Geophys. Res. Lett. Nixon, S.W. and A.C. Thomas, 2001, On the size of the Peru upwelling ecosystem. Deep Sea Res. Blanco J.L., A.C. Thomas, M-E. Carr and P.T. Strub, 2001, Seasonal climatology of hydrographic conditions in the upwelling region off northern Chile, J. Geophys. Res. Thomas A.C., J.L. Blanco, M.E. Carr, P.T. Strub and J. Ossus, 2001, Satellite-measured chlorophyll and temperature variability off northern Chile during the La Nina and El Nino, J. Geophys. Res.

Seasonal Cycles - monthly SeaWiFS composites FebruaryJuly Based on newest (2002) SeaWiFS processing

Seasonal Cycles – GRL 2001 SeaWiFS (3 years)CZCS (7 years) Summer Centered in each Hemisphere Amplitude Phase r 2 Wind CHL summer

~30 o latitudinal boundary Noted in CZCS data [Thomas 1999 JGR] Very evident in SeaWiFS / Wind / SST data [Thomas et al GRL] ….as Rubén showed yesterday with other data

Interannual Variability 3 years – GRL 2001 a preliminary view

Interannual Variability SeaWiFS (4 years) - monthly CONCENTRATIONS – 100km mean Work in progress – presented at 2002 Ocean Sciences Meeting SeaWiFS (4 years) - monthly ANOMALIES – 100km mean

Examine EL NIÑO Timing and structure Work in progress – presented at 2002 Viña El Niño Conference Compare Northern Hemisphere response to Southern Hemisphere response multi-disciplinary satellite data altimeter anomalies – ERS & TOPEX SST anomalies – NOAA AVHRR chlorophyll anomalies – SeaWiFS Ekman transport – ERS & QuikSCAT

El Nino Comparisons N & S: Timing ALTIMETER: Sea Surface Height Residuals ( ) Low latitudes Baja VS N.Chile Mid latitudes High Sea Levels SeaWiFS Data Begins

Anomaly Time Series Baja VS N. Chile (~28N-22 o S) Data: Height (SSH) N. Chile Baja

Anomaly Time Series Baja VS N. Chile (~28N-22 o S) Data: Height (SSH) & SST 21 o N N. Chile Baja

N. Chile Baja Anomaly Time Series Baja VS N. Chile (~28N-22 o S) Data: Height (SSH) & SST & CHL

N. Chile Baja Anomaly Time Series Baja VS N. Chile (~28N-22 o S) Data: Height (SSH) & SST & CHL & WIND (Ekman)

Anomaly Time Series MID Latitudes (~35 o N&S) Data: Height (SSH) California Chile

Anomaly Time Series MID Latitudes (~35 o N&S) Data: Height (SSH) & SST California Chile

Anomaly Time Series MID Latitudes (~35 o N&S) Data: Height (SSH) & SST & CHL California Chile

Anomaly Time Series MID Latitudes (~35 o N&S) Data: Height (SSH) & SST & CHL & Wind (EKMAN) California Chile

VARIABILITY ANALYSIS 21.4% year time series of monthly SeaWiFS data

September 1997October 1997November 1997 Monthly anomalies (from new [2002 processing] data)

December 1997January 1998February 1998 Monthly anomalies (from new [2002 processing] data)

July 1998June 1998May 1998 Monthly anomalies (from new [2002 processing] data)

Large Positive Anomalies off North America in 2002 !! Presented at November 2002 GLOBEC meeting (Oregon) April 2002 May 2002 EOF (pattern) EOF (time series)

Summary Data: SeaWiFS & MODIS color AVHRR & MODIS SST QuikSCAT & ERS wind TOPEX & ERS heights gracias So much to do…..so much fun….. Send students!