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Folders: ROOT > ScienceBase Catalog > National and Regional Climate Adaptation Science Centers > Northeast CASC > FY 2020 Projects > Rethinking Lake Management for Invasive Plants Under Future Climate: Sensitivity of Lake Ecosystems to Winter Water Level Drawdowns > Approved DataSets ( Show all descendants )

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_ScienceBase Catalog
__National and Regional Climate Adaptation Science Centers
___Northeast CASC
____FY 2020 Projects
_____Rethinking Lake Management for Invasive Plants Under Future Climate: Sensitivity of Lake Ecosystems to Winter Water Level Drawdowns
______Approved DataSets
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This data release consists of four datasets that were used for evaluating winter drawdown patterns in 166 Massachusetts lakes greater than 0.3 km2 surface area. The first dataset (“Water area and level.csv”) provides water area and water level time series data of 166 lakes from 2016 to 2021. Water area and water level time-series data were derived from European Space Agency’s Sentinel 1 synthetic aperture radar satellite sensor using the JavaScript code in Google Earth Engine platform. Details of this code were described in the software release (https://doi.org/10.5066/P9ZA5I1U). The second dataset (“Water area interpolated.csv”) is the linearly-interpolated daily water area time series data of the 166 lakes from...
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This data release consists of four datasets which were used for evaluating winter drawdown (WD) lakes to follow the Massachusetts general WD guidelines. The first dataset ("Water level observations.csv") provides water level monitoring data of 21 (18 WD and 3 non-WD) recreational lakes in Massachusetts from 2014 to 2018. The water levels were measured by paired nonvented pressure transducers (HOBO U20L-01) and processed by ContDataQC package to remove potential inaccurate observations. For better comparison between lakes, the water level was relativized to each lake's normal pool level. This dataset was used for understanding the hydrology of WD and non-WD lakes and validating the hydrological model that we developed...
A repository of hydrological modeling framework for lake drawdown management (HMF-Lake). We have developed a hydrological modeling framework which can simulate water level variations response to different weather conditions and operation rules.
    map background search result map search result map Developing a Stochastic Hydrological Model for Informing Lake Water Level Drawdown Management A Remote Sensing Approach to Characterize Winter Water Level Drawdown Patterns in Lakes Developing a Stochastic Hydrological Model for Informing Lake Water Level Drawdown Management A Remote Sensing Approach to Characterize Winter Water Level Drawdown Patterns in Lakes