Articles | Volume 9, issue 2
Earth Syst. Sci. Data, 9, 497–509, 2017
https://doi.org/10.5194/essd-9-497-2017
Earth Syst. Sci. Data, 9, 497–509, 2017
https://doi.org/10.5194/essd-9-497-2017

  25 Jul 2017

25 Jul 2017

Expanding understanding of optical variability in Lake Superior with a 4-year dataset

Colleen B. Mouw1, Audrey B. Ciochetto1, Brice Grunert2, and Angela Yu2 Colleen B. Mouw et al.
  • 1University of Rhode Island, Graduate School of Oceanography, 215 South Ferry Road, Narragansett, RI 02882, USA
  • 2Michigan Technological University, 1400 Townsend Drive, Houghton, MI 49931, USA

Abstract. Lake Superior is one of the largest freshwater lakes on our planet, but few optical observations have been made to allow for the development and validation of visible spectral satellite remote sensing products. The dataset described here focuses on coincidently observing inherent and apparent optical properties along with biogeochemical parameters. Specifically, we observe remote sensing reflectance, absorption, scattering, backscattering, attenuation, chlorophyll concentration, and suspended particulate matter over the ice-free months of 2013–2016. The dataset substantially increases the optical knowledge of the lake. In addition to visible spectral satellite algorithm development, the dataset is valuable for characterizing the variable light field, particle, phytoplankton, and colored dissolved organic matter distributions, and helpful in food web and carbon cycle investigations. The compiled data can be freely accessed at https://seabass.gsfc.nasa.gov/archive/URI/Mouw/LakeSuperior/.

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Short summary
Lake Superior is one of the largest freshwater lakes on our planet, but few optical observations have been made to allow for the development and validation of visible spectral satellite remote sensing products. The dataset described here focuses on coincidently observing optical properties along with biogeochemical parameters and substantially increases the optical knowledge of the lake.