4.7 Article Data Paper

Large-scale modeled contemporary and future water temperature estimates for 10774 Midwestern US Lakes

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SCIENTIFIC DATA
卷 4, 期 -, 页码 -

出版社

NATURE PUBLISHING GROUP
DOI: 10.1038/sdata.2017.53

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资金

  1. Department of the Interior Northeast Climate Science Center (Title: An Integrated Assessment of Lake and Stream Thermal Habitat under Climate Change)
  2. Wisconsin Department of Natural Resources Federal Aid in Sport Fish Restoration [F-95-P]
  3. U.S. National Oceanic and Atmospheric Administration [NA09OAR4310108]
  4. U.S. Environmental Protection Agency [3001595939, 751B0200072, 751P1301081]
  5. Division Of Environmental Biology
  6. Direct For Biological Sciences [GRANTS:13918298] Funding Source: National Science Foundation
  7. Division Of Environmental Biology
  8. Direct For Biological Sciences [1440297] Funding Source: National Science Foundation

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Climate change has already influenced lake temperatures globally, but understanding future change is challenging. The response of lakes to changing climate drivers is complex due to the nature of lake atmosphere coupling, ice cover, and stratification. To better understand the diversity of lake responses to climate change and give managers insight on individual lakes, we modelled daily water temperature profiles for 10,774 lakes in Michigan, Minnesota, and Wisconsin for contemporary (1979-2015) and future (2020-2040 and 2080-2100) time periods with climate models based on the Representative Concentration Pathway 8.5, the worst-case emission scenario. In addition to lake-specific daily simulated temperatures, we derived commonly used, ecologically relevant annual metrics of thermal conditions for each lake. We include all supporting lake-specific model parameters, meteorological drivers, and archived code for the model and derived metric calculations. This unique dataset offers landscape-level insight into the impact of climate change on lakes.

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