equivalent Python scripts to be automatically ran on a server at regular time intervals. ... o Acoustic Doppler Current Profiler Data. (ADCP) â Plot and image ...
Web Presence for the Great Lakes Synthesis, Observations And Response (SOAR) System A Portal to View Realtime Sensor Data from Buoys in Lake Erie, Lake Michigan, and Saginaw Bay Joeseph Smith, Steve Ruberg, Ron Muzzi Cooperative Institute for Limnology and Ecosystems Research (CILER) @ the National Oceanic and Atmospheric Administration’s Great Lakes Environmental Research Laboratory (NOAA-GLERL) Ann Arbor, MI, USA
Abstract
Data
Metrics and Other Data Displayed*
Thanks
To support the web presence objective of the GLRI’s Synthesis, Observations and Response (SOAR) System, NOAA-GLERL and CILER developed a prototype dashboard displaying information about hypoxia and algal blooms useful to a variety of users such as water intake and beach managers. Algal cells can reproduce rapidly, or bloom, under certain conditions, such as high nutrient, light levels, and/or temperature thresholds. Blooms cover a large surface area of the affected lake. Harmful algal blooms (HABs) are toxic, while nuisance algal blooms (NABs) are not. Scientists at NOAAGLERL-CILER produce real-time data and model output to inform water intake managers of conditions, such as hypoxia, that can impact drinking water quality. Efforts are focused on providing information about the state of HABs/NABs using in situ observations and satellite remote sensing. The prototype dashboard, along with graphed data, includes maps with overlays of modelled surface currents, satellite imagery, chlorophyll estimates derived from satellite imagery, and forecasted particle trajectories. A portal links to buoy data and map overlays from Lake Erie, Lake Michigan, and Saginaw Bay. We plan to expand data coverage to include real time phosphorous and other optical data such as turbidity and chlorophyll concentration.
Data are sourced from NOAA-GLERL Realtime Coastal Observation Network (ReCON) stations and buoys. They are processed as text data through a combination of R scripts on a mainframe and Javascript run on clients’ machines. Javascript, with the jQuery and Dygraphs libraries, is also used to display the data through an accessible user interface.
• Surface Currents via the NOAA-GLERL Great Lakes Coastal Forecasting System (GLCFS) • Satellite imagery NOAA Coastwatch’s Moderate Resolution Imaging Spectroradiometer (MODIS) • Derived chlorophyll from MODIS imagery • Forecasted particle trajectories • ReCON Data o Dissolved Oxygen o Temperature (at buoy and at 1 – 11 levels of depth via plot and image profile) o Turbidity o Phosphorous o Wave heights (significant and maximum) o Acoustic Doppler Current Profiler Data (ADCP) – Plot and image profile of North and East Water Currents • Mooring data from Western Lake Erie • Future work will involve incorporating other related data sets
• NOAA-GLERL and CILER for the opportunity to work on this • Great Lakes Restoration Initiative for funding • Steve Ruberg for consultation • Ron Muzzi for data support • Glenn Muhr for a UNIX account • Steve Constant for buoy work • Eric Anderson and Greg Lang for consultation on water current data • Maggie Rodgers and other water resource managers who provided input into the design of the page • GLRI for funding
During the monitoring season, typically between May and November, R scripts will be translated into equivalent Python scripts to be automatically ran on a server at regular time intervals.
Sample map of Lake Erie with GLCFS surface current Sample plot of average North Water Currents (m/s) via ADCP data. Black is the vertical average . Red - top half of overlay. measurements, green - bottom half, blue - near bottom.
* If available for that location
