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  • Forecasts of Chlorophyll-a (ug/L) at Falling Creek Reservoir over 2019 and 2020 using three models with different timesteps and a null persistence model, including parameter values for all forecasts
  • Woelmer, Whitney M .; Virginia Tech
    Thomas, R. Quinn; Virginia Tech
    Lofton, Mary E.; Virginia Tech
    McClure, Ryan P.; Virginia Tech
    Carey, Cayelan C.; Virginia Tech
  • 2021-04-18
  • Woelmer, W.M., R.Q. Thomas, M.E. Lofton, R.P. McClure, and C.C. Carey. 2021. Forecasts of Chlorophyll-a (ug/L) at Falling Creek Reservoir over 2019 and 2020 using three models with different timesteps and a null persistence model, including parameter values for all forecasts ver 2. Environmental Data Initiative. https://doi.org/DOI_PLACE_HOLDER (Accessed 2024-12-28).

  • Forecasts of bulk chlorophyll-a (ug/L) were produced for Falling Creek Reservoir, a small drinking water reservoir located in Vinton, Virginia in 2019 and 2020. Forecasts were made within a Bayesian framework using an autoregressive linear model. Forecasts were produced on a daily basis with a forecast horizon of 14 days, meaning forecasts were produced 14 days into the future from the day they were produced. We produced forecasts using three different models with different timesteps: a daily model, a weekly model, and a fortnightly model. Model drivers included shortwave radiation and discharge into the reservoir. All code to import data, calibrate models, and generate and analyze hindcasts are available on Github at https://github.com/wwoelmer/FLARE_AR_CHLA.

  • N: 37.309589      S: 37.30266      E: -79.836009      W: -79.839249
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  • DOI PLACE HOLDER
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