National Aeronautics and Space Administration ABSTRACT Using version 1.3 of the Aquarius dataset, the spatial distribution and seasonal variability of.

Slides:



Advertisements
Similar presentations
OSE meeting GODAE, Toulouse 4-5 June 2009 Interest of assimilating future Sea Surface Salinity measurements.
Advertisements

Ocean Currents of the Eastern Gulf of Mexico Robert H. Weisberg Professor, Physical Oceanography College of Marine Science University of South Florida.
Satellite observations of the meso- and submesoscale eddies in the Baltic and Black Seas Svetlana Karimova M.Sc. in oceanography – Lomonosov.
Modeling the M 2 and O 1 Barotropic and Baroclinic Tides in the Gulf of Mexico Using the HYbrid Coordinate Ocean Model (HYCOM) Flavien Gouillon 1 ; B.
Interannual Variability in Summer Hydroclimate over North America in CAM2.0 and NSIPP AMIP Simulations By Alfredo Ruiz–Barradas 1, and Sumant Nigam University.
Detecting and Tracking of Mesoscale Oceanic Features in the Miami Isopycnic Circulation Ocean Model. Ramprasad Balasubramanian, Amit Tandon*, Bin John,
Climate Variability and Prediction in the Little Colorado River Basin Matt Switanek 1 1 Department of Hydrology and Water Resources University of Arizona.
APPLICATION OF K-MEANS CLUSTERING The Matlab function “kmeans()” was used for clustering The parameters to the function were : 1. The matrix of entire.
Interannual Caribbean salinity in satellite data and model simulations Semyon Grodsky 1, Benjamin Johnson 1, James Carton 1, Frank Bryan 2 1 Department.
Linking Aquarius Salinity Measurements to River Discharges and Ocean Surface Carbon Dioxide Fugacity Xiaosu Xie and W. Timothy Liu Jet Propulsion Laboratory.
MODULATING FACTORS OF THE CLIMATOLOGICAL VARIABILITY OF THE MEXICAN PACIFIC; MODEL AND DATA. ABSTRACT. Sea Surface Temperature and wind from the Comprehensive.
OCEANOGRAPHIC FEATURE DETECTION AND LOCATION FROM HIGH-RESOLUTION SATELLITE IMAGES Ramprasad Balasubramanian, Ayan Chaudhuri, Sourish Ray(Computer and.
Temporal and Spatial Variations of Sea Surface Temperature and Chlorophyll a in Coastal Waters of North Carolina Team Members: Brittany Maybin Yao Messan.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Satellite Observations of Seasonal Sediment Plume in the Central East China.
Abbie Harris - NOAA Ocean Acidification Think Tank #5 Current and Future Research at the Institute for Marine Remote Sensing Abbie Rae Harris Institute.
Estimation of the Barrier Layer Thickness in the Indian Ocean using satellite derived salinity Subrahmanyam Bulusu Satellite Oceanography Laboratory Department.
A Multiple Linear Regression of pCO2 against Sea Surface Temperature, Salinity, and Chlorophyll a at Station BATS and its Potential for Estimate pCO2 from.
SST Diurnal Cycle over the Western Hemisphere: Preliminary Results from the New High-Resolution MPM Analysis Wanqiu Wang, Pingping Xie, and Chenjie Huang.
Linking sea surface temperature, surface flux, and heat content in the North Atlantic: what can we learn about predictability? LuAnne Thompson School of.
Northern Hemisphere Atmospheric Transient Eddy Fluxes and their Co-variability with the Gulf Stream and Kuroshio-Oyashio Extensions Young-Oh Kwon and Terrence.
Satellite Sea-surface Salinity: Data and Product Biases and Differences Eric Bayler and Li Ren NOAA/NESDIS Center for Satellite Applications and Research.
Sea surface salinity from space: new tools for the ocean color community Joe Salisbury, Doug Vandemark, Chris Hunt, Janet Campbell, Dominic Wisser, Tim.
From Ocean Sciences at the Bedford Institute of Oceanography Temperature – Salinity for the Northwest.
Climate of North America 101 What are the major controls on North American climate? What is the dominant flow pattern across North America in winter? How.
AN ENHANCED SST COMPOSITE FOR WEATHER FORECASTING AND REGIONAL CLIMATE STUDIES Gary Jedlovec 1, Jorge Vazquez 2, and Ed Armstrong 2 1NASA/MSFC Earth Science.
Initial Trends in Cloud Amount from the AVHRR Pathfinder Atmospheres Extended (PATMOS-x) Data Set Andrew K Heidinger, Michael J Pavolonis**, Aleksandar.
2010 AMS Effect of changes in GCM resolution on the connection between summertime precipitation, moisture flux, and the position of the Bermuda High Laura.
GP33A-06 / Fall AGU Meeting, San Francisco, December 2004 Magnetic signals generated by the ocean circulation and their variability. Manoj,
Sea surface temperature gradient comparisons from MODIS and AVHRR sensors Ed Armstrong 1, Grant Wagner, Jorge Vazquez, Mike Chin, Gregg Foti, Ben Holt,
Spatial distribution of snow water equivalent across the central and southern Sierra Nevada Roger Bales, Robert Rice, Xiande Meng Sierra Nevada Research.
Enhancing predictability of the Loop Current variability using Gulf of Mexico Hycom Matthieu Le Hénaff (1) Villy Kourafalou (1) Ashwanth Srinivasan (1)
Eastern WP Gap winds April 2013 Dec 2013 SST warmest coldest Local gap wind effect Regional conditions, comments by Gordon and Sprintall SST 6 April 2014.
RED TIDE 2000 CAN WE PREDICT RED TIDES IN THE WESTERN GULF OF MEXICO ? Dr. Sonia C. GallegosDr. Melba M. CrawfordDr. Xiaogang Chen Naval Research LabUniversity.
Andrew Heidinger and Michael Pavolonis
Analysis of four decadal simulations of the Skagerrak mesoscale circulation using two ocean models Lars Petter Røed 1 and Jon Albretsen 2 Presented at.
Characteristics of Fog/Low Stratus Clouds are composed mainly of liquid water with a low cloud base Cloud layers are highly spatially uniform in both temperature.
Approach: Assimilation Efficiencies The Carbon based model calculates mixed layer NPP (mg m -3 ) as a function of carbon and phytoplankton growth rate:
Progresses in IMaRS Caiyun Zhang Sept. 28, SST validation over Florida Keys 2. Potential application of ocean color remote sensing on deriving.
As components of the GOES-R ABI Air Quality products, a multi-channel algorithm similar to MODIS/VIIRS for NOAA’s next generation geostationary satellite.
National Aeronautics and Space Administration Jet Propulsion Laboratory California Institute of Technology Tropospheric Emission Spectrometer Studying.
RSSJ.
National Aeronautics and Space Administration The Large Scale Salinity Budget in the North Atlantic and a First Look at ENSO from Aquarius Josh Willis.
Evaluation of two global HYCOM 1/12º hindcasts in the Mediterranean Sea Cedric Sommen 1, Alexandra Bozec 2, Eric P. Chassignet 2 Experiments Transport.
Satellite applications in tropical oceanography: perspectives from the
Ocean Initialization System for Coupled Hurricane-Ocean Models and its Transition to HWRF Isaac Ginis and Richard Yablonsky University of Rhode Island.
HYCOM data assimilation Short term: ▪ Improve current OI based technique Assimilate satellite data (tracks) directly Improve vertical projection technique.
Ocean Sciences The oceans cover 3/4 of the Earth’s surface. They provide the thermal memory for the global climate system, and are a major reservoir of.
Date of download: 6/22/2016 Copyright © 2016 SPIE. All rights reserved. Sampling transects conducted in the southern Caspian Sea in the period of 2001.
Inter-annual Simulation with the South Florida HYCOM Nested Model Roland Balotro, Villy Kourafalou and Alan Wallcraft 2005 Layered Ocean Model User’s Workshop.
Validating SMAP SSS with in situ measurements
Surface Ocean Temporal and Spatial Variability of Chl-a and SST on the South Atlantic Bight: Revisiting with Cloud-free Reconstructions of MODIS Satellite.
Impacts of Climate and basin-scale variability on the seeding and production of Calanus finmarchicus in the Gulf of Maine and Georges Bank Avijit Gangopadhyay.
Mentor: Dr. Jinchun Yuan
NASA’s Ocean Color Online Visualization and Analysis System
Spatial Modes of Salinity and Temperature Comparison with PDO index
BOTTLENOSE DOLPHIN DISTRIBUTION IN THE PELAGIE ISLANDS: INTEGRATION OF REMOTE SENSING DATA WITH SIGHTINGS Ligi, R.1, Giacoma, C.2, Azzolin, M.2, Comparetto,
Junsoo Kim, Hyangsun Han and Hoonyol Lee
Observation of sub-mesoscale eddies over Baltic Sea using TerraSAR-X and Oceanographic data Aikaterini Tavri (1), Suman Singha (2), Susanne Lehner (3),
A Comparison of Profiling Float and XBT Representations of Upper Layer Temperature Structure of the Northwestern Subtropical North Atlantic Robert L.
NASA’s Ocean Color Online Visualization and Analysis System
NASA’s Ocean Color Online Visualization and Analysis System
INTEGRATION OF REMOTE SENSING DATA WITH TURSIOPS TRUNCATUS SIGHTINGS
IMAGERY DERIVED CURRENTS FROM NPP Ocean Color Products 110 minutes!
RED TIDE 2000 CAN WE PREDICT RED TIDES IN THE WESTERN GULF OF MEXICO ?
El Nino Southern Oscillation
NASA’s Ocean Color Online Visualization and Analysis System
Air Parcel Trajectory Analysis
Estimating PM2.5 using MODIS and GOES aerosol optical depth retrievals in IDEA Hai Zhang , Raymond M. Hoff1 , Shobha Kondragunta2.
‘Aquarius’ Maps Ocean Salinity Fine-scale Structure
NASA Ocean Salinity Science Team Meeting , Santa Rosa, August 2018
Presentation transcript:

National Aeronautics and Space Administration ABSTRACT Using version 1.3 of the Aquarius dataset, the spatial distribution and seasonal variability of sea surface salinity (SSS) was examined in the Gulf of Mexico (GoM). Results are compared with chlorophyll-a from the NASA MODerate Resolution Imaging Spectroradiometer (MODIS) on board the Aqua spacecraft over the period August 2011 through July Connections with dynamical features in the GoM (i.e., the Loop Current (LC) and eddies) are considered through the use of Multi-scale Ultra-high Resolution (MUR) sea surface temperature (SST) data. Statistics were calculated for the time period from August 25, 2011 to August 25, Mean values for salinity range from approximately 35 PSU in the Eastern GoM to 36 PSU in the Western GoM. A band of significant negative correlation between SSS and chl-a is observed running southeast from the Central Gulf Coast to the Western Coast of South Florida. A significant negative correlation also occurs along parts of the Western GoM. Negative correlations indicate that low salinity water in the GoM is associated with maximum chl-a concentrations. The location of the minimum along the Gulf Coast to the West Coast of Florida indicates that the freshwater source is likely associated with the Mississippi River and may be transported by GoM dynamics (i.e., the Loop Current and eddies). Seasonal maps of SSS and chl-a will be shown to corroborate the probable source of freshwater in the GoM and dynamics responsible for the observed spatial distribution. Results are significant in showing the ability of Aquarius to detect SSS signals in semi-enclosed basins. Initial Results on the Variability of Sea Surface Salinity from Aquarius/SAC-D in the Gulf of Mexico Jorge Vazquez-Cuervo Jet Propulsion Laboratory/California Institute of Technology Michelle Gierach Jet Propulsion Laboratory/California Institute of Technology Robert Leben University of Colorado Vardis Tsontos Jet Propulsion Laboratory/California Institute of Technology Figure 1: Correlation between Aquarius SSS and MODIS chlorophyll-a Figure 2: Correlation between HYCOM SSS And MODIS chlorophyll-a. Figure 3: Bias between HYCOM SSS – AQUARIUS SSS. Figure 4: Standard Deviation of Aquarius SSS - HYCOM SSS. Figure 3: Correlation between SST and chlorophyll-a CORELATIONS AND COMPARISONS WITH HYCOM Figure 6: Chlorophyll-a and SSS from Aquarius for 9/6/2011-9/13/2011. Figure 7: Chlorophyll-a and SSS from Aquarius for For 9/13/2011-9/20/2011. Figure 8: Chlorophyll-a and SSS from Aquarius for day 9/30/2011 to 10/7/2011. Figure 9: SST and SSS from Aquarius for day 9/3/2011 to 9/9/2011. Figure 10: SST and SSS from Aquarius for day 9/17/2011 to 9/23/2011. CONCLUSIONS Correlations were performed between the Aquarius satellite derived SSS and (GoM). Significant negative correlations were found between SSS and chlorophyll-a Biases between Aquarius SSS and HYCOM SSS indicate that over much of the GoM HYCOM SSS were saltier than Aquarius by as much as 1 PSU. STD deviations over much of the Gulf of Mexico were between PSU. Higher values were only seen close to areas of river outflow. Differences between HYCOM SSS and Aquarius SSS could be related to several reasons including that HYCOM SSS are driven by climatological values of river discharge. Time series plots of MUR SST, Aquarius SSS, and MODIS chlorophyll-a indicate that the Loop Current is responsible for entraining the low salinity water and transporting it westward to the Florida Coast. The low salinity water is related to high values of chlorophyll-a. Results indicate that the Aquarius satellite is resolving the signal associated with freshwater outflow from the Mississippi River. REFERENCES: FOR MORE INFORMATION ON HOW TO RETRIEVE AQUARIUS SSS DATA PLEASE SEE POSTER: OS21E Distribution and Support of Aquarius/SAC-D Data through the Physical Oceanography Distributed Active Archive Center HYCOM Figure 5: Bias of HYCOM SSS - AQUARIUS SSS. Time Series OS21E-1811