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A database of in situ water temperatures for large inland lakes across the coterminous United States
被引:2
|作者:
Sorensen, Troy
[1
,2
]
Espey, Eamon
[1
]
Kelley, John G. W.
[3
]
Kessler, James
[4
]
Gronewold, Andrew D.
[1
]
机构:
[1] Univ Michigan, Sch Environm & Sustainabil, Ann Arbor, MI 48104 USA
[2] Univ Michigan, Dept Elect Engn & Comp Sci, Ann Arbor, MI 48109 USA
[3] NOAA, Natl Ocean Serv, Coastal Survey Dev Lab, Silver Spring, MD 20910 USA
[4] NOAA, Great Lakes Environm Res Lab, Ann Arbor, MI 48108 USA
关键词:
CLIMATE;
D O I:
10.1038/s41597-024-03103-8
中图分类号:
O [数理科学和化学];
P [天文学、地球科学];
Q [生物科学];
N [自然科学总论];
学科分类号:
07 ;
0710 ;
09 ;
摘要:
Water temperature dynamics in large inland lakes are interrelated with internal lake physics, ecosystem function, and adjacent land surface meteorology and climatology. Models for simulating and forecasting lake temperatures often rely on remote sensing and in situ data for validation. In situ monitoring platforms have the benefit of providing relatively precise measurements at multiple lake depths, but are often sparser (temporally and spatially) than remote sensing data. Here, we address the challenge of synthesizing in situ lake temperature data by creating a standardized database of near-surface and subsurface measurements from 134 sites across 29 large North American lakes, with the primary goal of supporting an ongoing lake model validation study. We utilize data sources ranging from federal agency repositories to local monitoring group samples, with a collective historical record spanning January 1, 2000 through December 31, 2022. Our database has direct utility for validating simulations and forecasts from operational numerical weather prediction systems in large lakes whose extensive surface area may significantly influence nearby weather and climate patterns.
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