The Lake Superior water monitoring and information system
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1 Michigan Technological University Digital Michigan Tech Michigan Tech Research Institute Publications Michigan Tech Research Institute The Lake Superior water monitoring and information system Robert A. Shuchman Michigan Technological University Chris Roussi Michigan Technological University W. Charles Kerfoot Michigan Technological University Sarah A. Green Michigan Technological University Guy Meadows University of Michigan See next page for additional authors Follow this and additional works at: Part of the Physical Sciences and Mathematics Commons Recommended Citation Shuchman, R. A., Roussi, C., Kerfoot, W. C., Green, S. A., Meadows, G., Erickson, T. A., Brooks, C. N., Endsley, K. A., Wienert, M., Sayers, M. J., Jessee, N., Anderson, J., & Abbott, M. (2012). The Lake Superior water monitoring and information system. Limnotech Webinar Retrieved from: Follow this and additional works at: Part of the Physical Sciences and Mathematics Commons
2 Authors Robert A. Shuchman, Chris Roussi, W. Charles Kerfoot, Sarah A. Green, Guy Meadows, Tyler A. Erickson, Colin Neil Brooks, K. Arthur Endsley, Michelle Wienert, Michael J. Sayers, Nathaniel Jessee, Jamey Anderson, and Michael Abbott This conference paper/presentation is available at Digital Michigan Tech: 210
3 The Lake Superior Water Monitoring and Information System Long Term Water Quality, Meteorological and Wave Parameter Measurements in Lake Superior Limnotech Webinar: 28 January 2012 Dr. Robert Shuchman 1, Chris Roussi 1, Dr. Charlie Kerfoot 2, Dr. Sarah Green 2, Dr. Guy Meadows 3, Dr. Tyler Erickson 1, Colin Brooks 1, K. Arthur Endsley 1, Michelle Wienert 1, Mike Sayers 1, Nate Jessee 1,Jamey Anderson 1, Michael Abbot 2 1 = Michigan Tech Research Institute (MTRI), Ann Arbor, MI 2 = Michigan Technological University, Houghton, MI 3 = University of Michigan, AOSS, Ann Arbor, MI
4 Objectives and Purpose Support the four priority issues outlined by the Great Lakes Observing System (GLOS): Climate Change Impacts Ecosystem and Food Web Dynamics Protection of Public Health Navigation Safety and Efficiency Support Great Lakes Restoration Initiatives In situ measurements support GLERL GLCFS model and provide data for satellite derived product validation Assist Michigan to lead in research and development of Great Lakes resources Connect research to public awareness of issues facing these resources 2
5 Michigan Tech Buoy and Ferry Box Program University of Michigan (UofM) and S2 Buoy development allowed for immediate participation by Michigan Tech in the GLOS near-shore monitoring program Mooring expertise Deployment expertise High quality / cost effective instrumentation Michigan Tech is leveraging acquired technology from UofM and S2 and adding its own Intellectual Property (IP) Power improvements Wave sensor (3 rd Generation) Temperature sensor (thermistor) chain (2 nd Generation) Iridium communication 3
6 Michigan Tech Buoy and Ferry Box Program Funding GLOS MTU V.P. Infrastructure Enhancement Award MTRI IR&D Cooperative arrangements with National Park Service (NPS) In process of setting up an endowment, related to Michigan Tech s Great Lakes Research Center (GLRC) 4
7 Instrumentation Moored Buoys Buoy at north and south entrances of Keweenaw Waterway measure: Weather conditions Wave dynamics Water quality Currents Temperature Profiles Air Temperature Water Temperature Profile Wind Direction Wind Speed & Gust Pressure and Dew Point Wave Height Wave Period Solar Radiation & PAR Conductivity ph, DO & ORP Blue-Green Algae Chlorophyll Turbidity Currents (ADCD) Temperature Sensor Chains Seasonal campaigns; measures thermal gradient in the Portage Canal Ferry Boxes Air Temperature Water Temperature Profile Wind Direction Wind Speed & Gust Pressure and Dew Point Wave Height Wave Period Solar Radiation & PAR Ranger III passenger vessel to Isle Royale outfitted with water quality sensors 5
8 Lake Superior Water Monitoring and Information System 6 Keweenaw Waterway Buoys South entrance buoy (45025) deployed 27 May 2011 operated continuously until 21 October 2011 when removed for winter New buoy (45023) at north entrance was deployed on 11 June 2011, recovered 20 July 2011, redeployed 28 August 2011 and recovered for the season on 25 September Each buoy was visited three times for QA/QC Ranger box was installed on 25 April 2011 and recovered for the season on 6 October ibuttons deployed at North and South entrances on 30 April They were both recovered for the season on 28 October 2011.
9 Keweenaw Waterway Buoys Compliment Remote Sensing 7
10 Planned Buoy Upgrades: FY 2012 Upgrade solar cells Redesign mooring (bottom weight and tether) Install buoy adrift sensor Deploy new single wire thermistor chain (1-meter depth intervals/0.5 c) Deploy 6 DOF wave sensor Utilize Iridium as data communication device for thermistor and wave sensor 8
11 Lake Surface Temperature ( C) MTU Keweenaw South Buoy LST August 01 00:00 hrs - August 31 23:50 hrs GMT MTU Keweenaw South Buoy LST
12 Example Ranger III Instrumentation Data 10
13 Data Sharing of Michigan Tech Buoy, Ferry Box. And ibutton Data Main delivery mechanism is Michigan Tech s website Buoy data (45023 and 45025) are available at the National Data Buoy Center (NDBC) Ocean Engineering Lab website All data is also referenced on the GLOS website In the future, data will also be available via the GLOS DMAC 11
14 Data Services and Visualizations Dynamic tables and grids Quickly view the last 24 hours of buoy, Ranger III data Interactive charts plotted on demand Explore spatial, temporal relationships of in-situ data Compatible with all major browsers (Internet Explorer 6+, Firefox 1.5+, Safari 3+, Chrome 3+, Opera 9+) 12
15 Activities Supported Investigation of the relationship between surface winds and coastal upwelling Verification of a thermocline (see figure at right) off the coast of the Keweenaw Real-time observations of great importance to recreational boaters, commercial fishers, and search andrescue operations 13
16 Client-Server Model RAW DATA PISTON JSON Data HTML, CSS, Javascript, Images DATABASE SERVER ExtJS Highcharts OpenLayers Supports best practices: Asynchronous Javascript and XML (AJAX): Avoid the client browser halting for server Representative State Transfer (REST): Application state stored on client, not on server 14
17 Concluding Remarks The data collected are presently used to support commercial fishing, provide inputs to models, and to provide validation for remote sensing-derived products Combining single location time series data with remote sensing observations and GLCFS model was useful in describing upwelling events Buoy platforms are useful platforms for evaluation of new instrument and measuring approaches Lake Superior Water Monitoring and Information System 15
Who and what are we???
5/17/2013 Michigan Tech s Great tlk Lakes Research hcenter A Center for Environmental Science, Policy and Partnerships Guy Meadows (Director, Great Lakes Initiatives) & Michael Abbott gmeadows@mtu.edu
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