Developed by: Host Updated: U3-m12-s1 Principal Investigators Bruce Munson – UMD Education Rich Axler – NRRI- Limnology George Host – NRRI – Data issues Cindy Hagley – MN Sea Grant -Outreach Carl Richards – MN Sea Grant Glenn Merrick – Lake Superior College Staff Norm Will – NRRI - Programming Elaine Ruzycki – NRRI- RUSS-QA/QC Jerry Henneck - Hardware Jane Reed – NRRI- Web design Zandy Zwiebel – MN Sea Grant

Developed by: Host Updated: U3-m12-s2 A Brief History  Remote Underwater Sampling Station technology developed at NRRI in mid-1990s  1996 – NSF Advanced Technology Education grant to create “Water on the Web”  Online curriculum incorporating real-time data from RUSS units into college-level lesson plans  Focus on lakes in Minnesota  1999 – EPA EMPACT program funds Lake Access  Deliver real-time data for Minneapolis lakes  2000 – NSF ATE grant  Water Science Technician Training – 2 yr curriculum  National scope  Teacher training workshops in NY, WI, TX, NC, WA  2001 – EPA EMPACT funds DuluthStreams  Real-time river/stream data added to WOW

San Marcos, TX Skagit VCC, WA

Developed by: Host Updated: U3-m12-s4  RUSS unit – Remote Underwater Sampling Station Remote monitoring systems for environmental data “RUSS” Remote Underwater Sampling Station  Real-time water quality data acquisition  Data transmitted to WOW web site

Developed by: Host Updated: U3-m12-s5 Solar Panels Triple Hull (with electronics and power supply units) RUSS Design: Platform & Power Supply

Developed by: Host Updated: U3-m12-s6 Solar Panels Triple Hull (with electronics and power supply units) Profiler (Variable-buoyancy device) Multiprobe (sensor package) RUSS Design: Profiler

Developed by: Host Updated: U3-m12-s7 Profiler: Leveling device  Variable buoyancy  Will achieve target depth within 0.2 m  Typically set to collect data at 1 m intervals in water column

Developed by: Host Updated: U3-m12-s8 Profiler: Sensor package  Standard Hydrolab or YSI Sonde attached to Leveler  Measures  Temperature  pH  Dissolved Oxygen  Conductivity  Turbidity  Chl a

Developed by: Host Updated: U3-m12-s9 RUSS deployment Lake Independence, MN

Developed by: Host Updated: U3-m12-s10 RUSS Deployment - Ice Lake, MN

Developed by: Host Updated: U3-m12-s11 On-board Data Processing and Storage  Remote Programming, Data Acquisition and Retrieval (RePDAR) unit  CPU  Memory  Telemetry  Data is stored in ring memory on RePDAR  Profiles are stored in a data buffer  Can be downloaded on demand

Developed by: Host Updated: U3-m12-s12 Solar Panels Triple Hull (with electronics and power supply units) Wireless Communications (cellular/RF/Satellite/900 MHz) Profiler (Variable-buoyancy device) Multiprobe (sensor package) RUSS Design: Communications

Developed by: Host Updated: U3-m12-s13 Data Flow: RUSS unit to the WOW web site DVT Archive EXCEL HTML Data Importer

Developed by: Host Updated: U3-m12-s14 Lots of data for lakes and streams  5-6 variables per depth  depths per profile  4 profiles per day  ~200 days per season  96,000 points per lake  4-6 lakes in WOW  2-6 years worth of data 2,400,000 data points in archives

Developed by: Host Updated: U3-m12-s15 Lots of data for lakes and streams  5-6 variables per depth  depths per profile  4 profiles per day  ~200 days per season  96,000 points per lake  4-6 lakes in WOW  2-6 years worth of data  And then there’s stream data – 5 minute intervals 2,400,000 data points in archives

Developed by: Host Updated: U3-m12-s16 Online Data Visualization Tools  Profile plotter (parameters vs depth)  Color mapper (parameters vs depth)  DxT (depth vs time)

Developed by: Host Updated: U3-m12-s17 WOW Site tour…  Curriculum materials  Downloadable annotated Powerpoint files  Online water quality data  Online resources (primers, supporting materials)  IMS map server (deliver watershed, landuse etc)  Two types of curricula  Basic Science – HS,CC, 4 yr college Basic Science  Water Science Technician Training –modular 2 semester course Water Science Technician Training  In depth – Lake Ecology module

Developed by: Host Updated: U3-m12-s18 Wrap-up  Successes  Extensive and comprehensive site for water science information 300+ pages  Broad user base  ~40 cooperating institutions (CC, HS, 4yr)  1300 person mailing list  Steadily increasing site use (30K hits/m)  Active ‘comments’ section  Scaleable – regional  national  Challenges – Sustainability?  Data feeds expensive – need agency partners  Certification – no defined standards for water science  Alternative funding models?

Developed by: Host Updated: U3-m12-s19 Thank you!

Developed by: Host Updated: U3-m12-s20 Adapted from Ratti and Garton (1994) Precision, accuracy and bias  Precision:  Tendency to have values closely clustered around the mean  Accuracy:  Tendency of an estimator to predict the value it was intended to estimate  Bias:  A systematic error in prediction

Developed by: Host Updated: U3-m12-s21 Unbiased Biased Not Precise Precise The yellow curling rocks represent means from repeated samples Green dots are the mean value Spread is analogous to the standard error Accurate Not Accurate

Developed by: Host Updated: U3-m12-s22 Data Visualization Tools: Profile Plotter  Accesses and plots individual profiles by parameter  Can ‘step through’ or animate time steps

Developed by: Host Updated: U3-m12-s23 Data Visualization Tools: Profile Plotter

Developed by: Host Updated: U3-m12-s24 DVT: Color Mapper

Developed by: Host Updated: U3-m12-s25 2D visualizations: Temperature by Depth and Time Data Visualization Tools: DxT Profiler