Published November 25, 2023 | Version v2
Dataset Open

Using knowledge-guided machine learning to assess patterns of areal change in waterbodies across the contiguous U.S.: Data

Authors/Creators

  • 1. Virginia Tech
  • 2. University of California Davis
  • 3. Dundalk Institute of Technology
  • 4. McGill University
  • 5. The University of Vermont
  • 6. Rensselaer Polytechnic Institute
  • 7. City University of New York
  • 8. Northern Region Water Board
  • 9. University of Minnesota
  • 10. Los Alamos National Laboratory
  • 11. University of Wisconsin - Madison
  • 12. Cary Institute of Ecosystem Studies

Description

Data used for generating figures in the knowledge-guided machine learning manuscript and supplemental info by Wander et al.

This repository contains three folders:

  • Results: csv file with the final KGML groups for each waterbody. Latitude, longitude, RealSAT (Khandelwal et al., 2022) waterbody id, and HydroLAKES (Messager et al., 2016) waterbody id are provided.
  • Code_data: data used for generating figures in the knowledge-guided machine learning manuscript and supplemental info by Wander et al.
  • prism: data from PRISM dataset (Matsuura and Willmott) used for preliminary driver analysis in Wander et al.

Khandelwal, A.; Karpatne, A.; Ravirathinam, P.; Ghosh, R.; Wei, Z.; Dugan, H.; Hanson, P. C.; Kumar, V. ReaLSAT, a global dataset of reservoir and lake surface area variations. Sci. Data 2022, 9, 356. https://doi.org/10.1038/s41597-022-01449-5

Messager, M. L.; Lehner, B.; Grill, G.; Nedeva, I.; Schmitt, O. Estimating the volume and age of water stored in global lakes using a geo-statistical approach. Nat. Commun. 2016, 7, 1–11. https://doi.org/10.1038/ncomms13603

Willmott, C. J.; Matsuura, K. Terrestrial Air Temperature and Precipitation: 1900-2014 Gridded Monthly Time Series: NOAA Physical Sciences Laboratory Terrestrial Air Temperature and Precipitation: 1900-2014 Gridded Monthly Time Series, 2015. https://psl.noaa.gov/data/gridded/data.UDel_AirT_Precip.html. (Accessed Jan 2022).

Danielson, J. J.; Gesch, D. B. TEMIS -- GMTED2010 Elevation Data at Different Resolutions, 2011. https://www.usgs.gov/centers/eros/science/usgs-eros-archive-digital-elevation-global-multi-resolution-terrain-elevation. (Accessed Jan 2022).

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