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Detroit Lake, Oregon
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Welcome to our harmful algal bloom forecasting dashboard.
Here we use and show data collected from USGS streamgages,
weather stations, satellite imagery, and on-the-ground
water samples. These data are used by custom machine learning
algorithms to forecast when and where harmful algal blooms will occur.
ClearWater Analytica is a public benefit company whose mission is to improve the
resilience of communities to climate change driven water shocks. We synthesize data
from a multitude of sources, and use custom machine learning algorithms to forecast
changes in the quality of the water that we drink. More information about ClearWater
Analytica can be found
Weather Data Info
Environmental data is collected by the The Climatology Lab through
. This data set features daily high-spatial resolution (~4km, 1/24 degree) from 1979 - yesterday. The data available includes maximum temperature, minimum temperature, precipitation accumulation, downward surface shortwave radiation, wind-velocity, humidity (maximum and minimum relative humidity and specific humidity.
Streamgage data info
Information on the flow of rivers and streams into water bodies is provided by the
US Geological Survey.
. This data provides mainly discharge rates, but also may include water levels, quality information, and environmental data such as temperatures and precipitation. Not all USGS streamgages have the same data where most observations are discharge rates.
CyAN data info
The CyAN tab provides results from our machine learning model that classifies whether CyAN was detected for a given week. The model forecasts the probability that CyAN will be detected in the next week using environmental data and site specific characteristics. The left donut chart provides the results from the previous week split between the probability of detect (aqua color pie) and probability of no detect (blue color pie). The percentage observed detect area is provided in the center. Next week's results are provided similar in the right donut with the model accuracy provided in the center. The line chart below provides the historical expected probability of detected CyAN (red line) with the current year's running probability overlayed (blue line). Clicking anywhere on the blue line will provide you with that weeks probability.
Water sample data info
Water sample data (e.g., the concentration of algae, toxins, nutrients, etc.)
is obtained from the municipalities and water utilities that we work with.
Satellite data info
Satellite data is provided by a Multispectral Instrument (MSI) that is available on the European Union’s Copernicus Sentinel-2. The satellite launched in 2017 to provide high-resolution, multispectral images with a high revisit frequency for land and water features. Currently, data for 13 spectral bands at mid-latitudes is available every 2-3 days. The bands measure central wavelengths from 442.7-2185.7 nanometers (nm) which allows for identification of color bands. We scrape blue, green, red, near-infrared (NIR), water vapor, cloud mask, and snow probability for all available data from 2017-03-28 to present minus 3 days.
Additional satellite data is provided to describe potential cyanobacteria observations through the
Cyanobacteria Assessment Network (CyAN)
. CyAN data is provided by the Environmental Protection Agency (EPA), the National Aeronautics and Space Administration (NASA), the National Oceanic and Atmospheric Administration (NOAA), and the United States Geological Survey (USGS). This data provides cyanobacteria estimates for U.S. lakes and estuaries that can detect and quantify cyanobacteria algal blooms.
Red colored values highlight areas of high chlorophyll-a or CyAN, relative to the blue colored areas.
Values are computed as the ratio of the Near Infrared and Red bands for chlorophyll-a from the Sentinel 2a satellite.