Daily surface temperature predictions for 185,549 U.S. lakes with associated observations and meteorological conditions (1980-2020)

Description

Daily lake surface temperatures estimates for 185,549 lakes across the contiguous United States from 1980 to 2020 generated using an entity-aware long short-term memory deep learning model. In-situ measurements used for model training and evaluation are from 12,227 lakes and are included as well as daily meteorological conditions and lake properties. Median per-lake estimated error found through cross validation on lakes with in-situ surface temperature observations was 1.24 °C. The generated dataset will be beneficial for a wide range of applications including estimations of thermal habitats and the impacts of climate change on inland lakes.

Resources

Name Format Description Link
0 https://doi.org/10.32614/RJ-2018-009
0 https://doi.org/10.3390/geosciences9070296
0 CSDGM IMPORT ERROR: No digtinfo/formcont https://doi.org/10.5066/P9CEMS0M
0 http://dx.doi.org/10.1029/2003JD003823
0 qj.3803 https://doi.org/10.1002/qj.3803
55 The metadata original source https://data.doi.gov/harvest/object/14da0a9d-8293-45fc-bb25-b43b62d5dfda

Tags

  • reservoirs
  • modeling
  • temperate-lakes
  • deep-learning
  • united-states
  • us
  • usgs-60341c3ed34eb12031172aa6
  • water-resources
  • climate-change
  • water
  • surface-temperature
  • temperature
  • machine-learning

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Categories