Title |
Large-scale modeled contemporary and future water temperature estimates for 10774 Midwestern U.S. Lakes
|
---|---|
Published in |
Scientific Data, April 2017
|
DOI | 10.1038/sdata.2017.53 |
Pubmed ID | |
Authors |
Luke A. Winslow, Gretchen J.A. Hansen, Jordan S Read, Michael Notaro |
Abstract |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 15 | 44% |
Canada | 2 | 6% |
Moldova, Republic of | 1 | 3% |
Ireland | 1 | 3% |
United Kingdom | 1 | 3% |
Unknown | 14 | 41% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 24 | 71% |
Scientists | 10 | 29% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Turkey | 1 | 1% |
Unknown | 68 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 12 | 17% |
Researcher | 10 | 14% |
Student > Master | 10 | 14% |
Student > Doctoral Student | 6 | 9% |
Other | 3 | 4% |
Other | 9 | 13% |
Unknown | 19 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Environmental Science | 18 | 26% |
Agricultural and Biological Sciences | 12 | 17% |
Earth and Planetary Sciences | 6 | 9% |
Social Sciences | 2 | 3% |
Engineering | 2 | 3% |
Other | 8 | 12% |
Unknown | 21 | 30% |