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- W3205671450 abstract "Studies of lake ice phenology have historically relied on limited in situ data. Satellite-derived temperature data provide an opportunity to better understand the climatological factors and trends behind ice phenology. Here we developed a model that uses daytime and nighttime surface temperature observations from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor onboard Aqua to approximate ice in for 13 lakes and ice out for 58 lakes in Maine from 2002–2018. Ice-in and ice-out approximations were signaled by a moving average of the data crossing the 0°C threshold. The comparison of in situ and satellite-derived ice-out and ice-in dates were both highly correlated, but the amount of bias in those estimates was influenced by the number of days in a moving average of temperature. Systematic biases in the approximation model toward predicting ice in too early and ice out too late point to the importance of in-lake dynamics in modifying the timing of stabilization or melting of ice." @default.
- W3205671450 created "2021-10-25" @default.
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- W3205671450 date "2021-07-11" @default.
- W3205671450 modified "2023-09-26" @default.
- W3205671450 title "Approximating Lake Ice Phenology with Satellite Surface Temperature Data" @default.
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- W3205671450 doi "https://doi.org/10.1109/igarss47720.2021.9555006" @default.
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