Harmful Algal Bloom Detectives in the Gulf of Mexico Satellites, Gliders and Buoys, Oh My! By Chris Simoniello and Ruth Mullins* With information from: *The Gulf of Mexico Coastal Ocean Observing System (M.K. Howard, A.E. Jochens) The University of South Florida College of Marine Science (C. Lembke, R.H. Weisberg, J. Cannizzaro, D. English, E. Peebles, C. Hu, F. Muller Karger) Mote Marine Lab (G.J. Kirkpatrick, B.A. Kirkpatrick) Naval Oceanographic Office (C. Szczechowski)
National Science Education Standards 6.1 Science as Inquiry Content Standards Abilities necessary to do scientific inquiry Understanding about scientific inquiry 6.4 Earth and Space Science Content Standards Structure of the Earth s system 6.5 Science and Technology Content Standards Abilities of technological design Understanding about science and technology Image courtesy of Center for Ocean Technology 6.6 Science in Personal and Social Perspective USF College of Marine Science Natural resources Environmental quality Science and technology in local, national, and global challenge
In this lesson middle school students will: 1. Learn how scientists integrate data from sensors on satellites, Autonomous Underwater Vehicles and buoys to determine if a Harmful Algal Bloom exists in the Gulf of Mexico. 2. Locate data from real technology platforms and apply to a real life problem (for those with limited time or internet access, data sets are provided). 3. Explore data sets and apply reasoning to identify cause/effect relationships between the ocean and atmosphere.
Background The health of the Gulf of Mexico is vital to the well being of the nation TX, LA, MS, AL and FL have a Gross Domestic Product of $2.2 Trillion* Oil and Gas (27% domestic crude oil production); Tourism ($34.9 billion annually; Ports (11 of top 15 tonnage ports in the U.S.**); Commercial Fisheries (4 of top 7 U.S. fishing ports by weight)*** Students from Gulf Coast States Perform Poorly on STEM Assessments 2011 U.S. H.S. Science and Engineering Readiness Index^: Texas, Alabama, Louisiana, and Mississippi ranked 31, 47, 48, and 50, respectively; Far below the national average. FL is the exception, ranking 11 th. The Gulf of Mexico Coastal Ocean Observing System Regional Association is working with its partners to address the deficiency in STEM skills required to: Manage the living resources of the GOM; Make informed voting decisions; Power the future workforce; Compete in a global economy *2006 Bureau of Economic Analysis International Monetary Fund; **2004 USACOE Navigation Data Center; ***2010 NMFS; ^American Institute of Physics
Selecting Issues of Relevance to Society Harmful Algal Bloom research is an example of the Scientific Process in progress. It demonstrates the relevance of STEM disciplines to the everyday lives of Gulf of Mexico students. The lessons complement current research priorities for the Gulf of Mexico. Resources and links about the priorities: Gulf of Mexico Coastal Ocean Observing System: http://gcoos.tamu.edu/products/ Gulf of Mexico Alliance: http://www.gulfofmexicoalliance.org/index.php Gulf Coast Ecosystem Restoration Task Force: http://www.epa.gov/gcertf/ Gulf of Mexico Large Marine Ecosystem Project: http://gulfofmexicoproject.org/en (English) http://iwlearn.net/iw projects/1346/newsletters/gom lme e news bulletin no. 01 year 2 february 2011 (Spanish)
Spatial and Temporal Scales Why use different platforms to monitor ocean conditions? SPATIAL RESOLUTION TEMPORAL RESOLUTION Satellite Remote Sensing Typically a snapshot (low temporal resolution) of a large area (high spatial resolution) Gliders/AUV Intermediate: provides large spatial coverage for extended periods of time. Fixed Platform Typically information about a limited area (low spatial resolution) provided for a prolonged period of time (high temporal resolution)
Beach Sediment as an Example of Resolution SPATIAL RESOLUTION
Detecting Harmful Algal Blooms in the Gulf of Mexico Cells with chlorophyll fluoresce (emit light). The light is emitted at certain wavelengths (~678 nm) or bands. Irradiance sensors mounted on satellites measure the amount of radiance (light) leaving the sea surface. The sensors are set to measure light at 667 nm and 748 nm, wavelengths bracketing the fluorescent band of chlorophyll. Fluorescence Line Height (FLH) is a relative measure of the amount of radiance leaving the sea surface in the chlorophyll fluorescence emission band. Other compounds in seawater besides chlorophyll (e.g., suspended sediments, algae, protists), can also emit light. Researchers must determine what part of the signal is due to chlorophyll in the water, and what is due to other materials.
Tampa Bay Sarasota Port Charlotte
10/05/2011 10/21/2011 Suspended sediment Windy conditions preceding 10/21/2011 led to high suspended sediment concentrations. FLH values for K. brevis blooms are overestimated during sediment resuspension events and are not reliable for identifying chlorophyll rich waters. Go to the GCOOS data portal (http://gcoos.tamu.edu/products/) and locate a buoy in the vicinity of the bloom (try C14). Select wind gusts and set begin/end dates about one week prior to 10/21. Plot the wind conditions on a graph. (Internet or canned data options.)
Wind data are reported every 20 minutes (=72 data points/day). Students will have to think about how to graph: average all or a range of values; select one time for consistency.
This is the window you will see. Wind Gust in meters per second. Data are reported every 20 minutes. Image courtesy of the Coastal Studies Institute, Louisiana State University Wave Current Surge Information System
Sample Data 10/15 16/2011: Year, Month, Day: Hour, Minute, Second: WGR=Wind Gust in meters per second 2011 10 15 13:20:00 8 2011 10 15 13:40:00 8.5 2011 10 15 14:00:00 8 2011 10 15 14:20:00 8.8 2011 10 15 14:40:00 9.2 2011 10 15 15:00:00 8.8 2011 10 15 15:20:00 7.5 2011 10 15 15:40:00 8.6 2011 10 15 16:00:00 8.5 2011 10 15 16:20:00 8.6 2011 10 15 16:40:00 9.8 2011 10 15 17:00:00 8.8 2011 10 15 17:20:00 9.3 2011 10 15 17:40:00 9.9 2011 10 15 18:00:00 9.3 2011 10 15 18:20:00 8.6 2011 10 15 18:40:00 8.1 2011 10 15 19:00:00 9 2011 10 15 19:20:00 9.4 2011 10 15 19:40:00 8.7 2011 10 15 20:00:00 8.6 2011 10 15 20:20:00 8.6 2011 10 15 20:40:00 7.9 2011 10 15 21:00:00 8 2011 10 15 21:20:00 8.6 2011 10 15 21:40:00 8 2011 10 15 22:00:00 7.7 2011 10 15 22:20:00 7.9 2011 10 15 22:40:00 7.7 2011 10 15 23:00:00 6.9 2011 10 15 23:20:00 6.9 2011 10 15 23:40:00 7.1 2011 10 16 00:00:00 6.7 2011 10 16 00:20:00 6.9 2011 10 16 00:40:00 7.1 2011 10 16 01:00:00 6.6 2011 10 16 01:20:00 6.7 2011 10 16 01:40:00 7.7 2011 10 16 02:00:00 7.3 2011 10 16 02:20:00 6.8 2011 10 16 02:40:00 7.1 2011 10 16 03:00:00 7.1 2011 10 16 03:20:00 7.5 2011 10 16 03:40:00 7.4 2011 10 16 04:00:00 7 2011 10 16 04:20:00 6.9 2011 10 16 04:40:00 6.3 2011 10 16 05:00:00 6.9 2011 10 16 05:20:00 5.9 2011 10 16 05:40:00 6.5 2011 10 16 06:00:00 5.7 2011 10 16 06:20:00 6 2011 10 16 06:40:00 5.7 2011 10 16 07:00:00 6 2011 10 16 07:20:00 5.6 2011 10 16 07:40:00 5.5 2011 10 16 08:00:00 5.4 2011 10 16 08:20:00 6 2011 10 16 08:40:00 6 2011 10 16 09:00:00 6.5 2011 10 16 09:20:00 6.7 2011 10 16 09:40:00 6 2011 10 16 10:00:00 6.6 2011 10 16 10:20:00 6.2 2011 10 16 10:40:00 7.2 2011 10 16 11:00:00 7.6 2011 10 16 11:20:00 7.7 2011 10 16 11:40:00 7.4 2011 10 16 12:00:00 7.6 2011 10 16 12:20:00 8.2 2011 10 16 12:40:00 7.8 2011 10 16 13:00:00 7.8 2011 10 16 13:20:00 8.3 2011 10 16 13:40:00 8.3 2011 10 16 14:00:00 8 2011 10 16 14:20:00 8.1 2011 10 16 14:40:00 8.2 2011 10 16 15:00:00 8.1 2011 10 16 15:20:00 8.9 2011 10 16 15:40:00 8.8 2011 10 16 16:00:00 8.4 2011 10 16 16:20:00 7.3 2011 10 16 16:40:00 7.5 2011 10 16 17:00:00 7.1 2011 10 16 17:20:00 7.7 2011 10 16 17:40:00 7.2 2011 10 16 18:00:00 5.9 2011 10 16 18:20:00 6.1 2011 10 16 18:40:00 6.2 2011 10 16 19:00:00 6.4 2011 10 16 19:20:00 7 2011 10 16 19:40:00 6.4 2011 10 16 20:00:00 6 2011 10 16 20:20:00 6.2 2011 10 16 20:40:00 5.9 2011 10 16 21:00:00 7 2011 10 16 21:20:00 6.3 2011 10 16 21:40:00 6.1 2011 10 16 22:00:00 5.8 2011 10 16 22:20:00 5.7 2011 10 16 22:40:00 6.1 2011 10 16 23:00:00 6 2011 10 16 23:20:00 5.6 2011 10 16 23:40:00 4.8
Sample Wind Gust Data: 10/17 18/2011 2011 10 18 00:00:00 6.6 2011 10 18 00:20:00 6.9 2011 10 18 00:40:00 7.3 2011 10 18 01:00:00 7.9 2011 10 18 01:20:00 7.3 2011 10 18 01:40:00 6.7 2011 10 18 02:00:00 6.4 2011 10 18 02:20:00 6.3 2011 10 18 02:40:00 6.7 2011 10 18 03:00:00 7.1 2011 10 18 03:20:00 7.7 2011 10 18 03:40:00 9 2011 10 18 04:00:00 7.4 2011 10 18 04:20:00 8.4 2011 10 18 04:40:00 8.3 2011 10 18 05:00:00 7.9 2011 10 18 05:20:00 8 2011 10 18 05:40:00 7.6 2011 10 18 06:00:00 8.6 2011 10 18 06:20:00 8.9 2011 10 18 06:40:00 7.6 2011 10 18 07:00:00 7.4 2011 10 18 07:20:00 8.3 2011 10 18 07:40:00 9.2 2011 10 18 08:00:00 10 2011 10 18 08:20:00 9.3 2011 10 18 08:40:00 8.7 2011 10 18 09:00:00 9.6 2011 10 18 09:20:00 8.5 2011 10 18 09:40:00 9.4 2011 10 18 10:00:00 9.6 2011 10 18 10:20:00 9.8 2011 10 18 10:40:00 9.1 2011 10 18 11:00:00 9.6 2011 10 18 11:20:00 9.7 2011 10 18 11:40:00 9.1 2011 10 18 12:00:00 9.5 2011 10 18 12:20:00 8.8 2011 10 18 12:40:00 9.4 2011 10 18 13:00:00 9.4 2011 10 18 13:20:00 9 2011 10 18 13:40:00 10.2 2011 10 18 14:00:00 8.8 2011 10 18 14:20:00 9.2 2011 10 18 14:40:00 8.6 2011 10 18 15:00:00 10 2011 10 18 15:20:00 9.7 2011 10 18 15:40:00 10.1 2011 10 18 16:00:00 10.3 2011 10 18 16:20:00 9.7 2011 10 18 16:40:00 11 2011 10 18 17:00:00 11.2 2011 10 18 17:20:00 10.8 2011 10 18 17:40:00 10.6 2011 10 18 18:00:00 9.8 2011 10 18 18:20:00 9.8 2011 10 18 18:40:00 11.2 2011 10 18 19:00:00 12 2011 10 18 19:20:00 13.5 2011 10 18 19:40:00 12.9 2011 10 18 20:00:00 9.6 2011 10 18 20:20:00 10.3 2011 10 18 20:40:00 10.5 2011 10 18 21:00:00 9.2 2011 10 18 21:20:00 11.2 2011 10 18 21:40:00 11.2 2011 10 18 22:00:00 11.3 2011 10 18 22:20:00 9.8 2011 10 18 22:40:00 11.3 2011 10 18 23:00:00 11.6 2011 10 18 23:20:00 11.7
Sample Wind Gust Data: 10/19 20/2011
Sample Graph (wind speed at noon in red; wind speed at 14:20 in blue) Wind Gusts in October 2011 16 14 Wind Speed, meters per second 12 10 8 6 4 2 0 0 5 10 15 20 25 Day, October 2011
Track of the USF COT glider Bass; 10/12 to 11/08/2011; deployed for 28 days; traveled 38 km; max depth 39.1 m; This is the same area of the HAB event shown with the satellite data.
Way Points WP2 and WP 7 are at the same location, approximately two weeks apart. Using the temperature and salinity graphs (next slide), how might you explain the obvious difference in density from WP2 and WP 7?
Air Sea Interactions are Important 100 Air Temperature, Sarastoa, FL, October 2011 Note the drop in air temperature around October 20 th. 90 80 Air Temperature, Fahrenheit 70 60 50 40 30 20 10 0 0 5 10 15 20 25 30 35 Day, October 2011 http://www.wunderground.com/history/
For more glider data from this mission: http://cotprojects.marine.usf.edu/data/plots.html See Mission 54 Image courtesy of the Center for Ocean Technology, University of South Florida College of Marine Science
Education Resources Orbital: Ocean Remote Sensing Base for Interactive Teaching and Learning http://education.imars.usf.edu/lplans.html MBARI EARTH http://www.mbari.org/earth/ Bridge Marine Education Resources http://web.vims.edu/bridge/?svr=www