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Emanuele Di Lorenzo and Annalisa Bracco

Underwater Sensors. Networks Workshop. Inverse Ocean Modeling. Emanuele Di Lorenzo and Annalisa Bracco. Adjoint Modeling. Paleo-ocean Reconstructions. Ocean Prediction and Analysis System. Southern California Bight. PHYSICAL AND BIOLOGICAL SENSITIVITY ANALYSIS

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Emanuele Di Lorenzo and Annalisa Bracco

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  1. Underwater Sensors Networks Workshop Inverse Ocean Modeling Emanuele Di Lorenzo and Annalisa Bracco Adjoint Modeling Paleo-ocean Reconstructions Ocean Prediction and Analysis System Southern California Bight PHYSICAL AND BIOLOGICAL SENSITIVITY ANALYSIS Fig. Sensitivity of bulk oceanic Chlorophyll-A to changes in nutrient along transect line 90 shows the important role of along-shore advection in coastal areas. MODEL and TOOLS DEVELOPMENTS MODELING PROXY RECORDS of the MEDIEVAL WARM PERIOD An inverse approach is used to reconstruct the large-scale tropical Pacific SST patterns that are consistent with a network of high-resolution paleoclimate records from the Medieval Warm Period (MWP). Los Angeles NEW Components and Drivers added to the ROMS Modeling Framework Stability Analysis Modules Non Linear Model Line 90 Tangent Linear Model from Moore et al. 2006 Gulf of Mexico Fig. Sensitivity of TRANSPORT through Yucatan Straight due to Kelvin waves. Representer Model Adjoint Model Sensitivity Analysis Data Assimilation Strong Constrain Weak Constrain and IROMS Maximum transport Kelvin Wave Pattern Ensemble Ocean Prediction Support from ONR with H. Arango (Rutgers), A. Moore (UCSC) A. Miller and B. Cornuelle (Scripps) SSH SSH Time=t0 Time=tN from N. Graham with A. Moore and B. Powell (UCSC) H. Arango (Rutgers), R. Milliff (CORA), J.Sheinbaum (CICESE). Support from ONR. Data Assimilation of Physics and Biology Model Hindcast In Situ Observations Satellite Observations A Cool Tropical Pacific? A variety of proxy records indicate temperature and hydrological anomalies during the MWP that are consistent with prolonged “La Nina” conditions in the tropical Pacific (above). Modeling runs with CCM3 support a link between prolonged “La Nina”-like conditions and drought in the western U.S. (below)., AVVISO TOPEX/ERS CalCOFI SSHa Model SSHa Satellite E2 E2 Model SST Anomaly (MODERN-MEDIEVAL) [m] [m] E1 E1 E1 “SSHa” Independent verification Data Assimilation SeaWIFS From Nick Graham with Kim Cobb and Jason Furtado (GaTech), N. Graham (HRI), M. Mann (PennState), M. Hoerling (NOAA) and M. Alexander (NOAA). NOAA support. Model Precipitation Anomaly (MODERN-MEDIEVAL) [M N/m3] [M N/m3] E2 E2 Chl-a Model Chl-a Satellite E1 E1 Chl-a In Situ with A. Miller and B. Cornuelle (Scripps), J. Moisan (NASA). Support from NASA and ONR.

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