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Developing a stochastic hydrological model for informing lake water level drawdown management

Metadata Updated: July 6, 2024

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 for WD lakes. Details of the hydrological model were described in the software release (https://doi.org/10.5066/P9C8BVY2). The second dataset ("Water level simulations.csv") is the hydrological model simulated daily water level (relative to each lake's normal pool level) time series of the WD lakes from the first dataset (15 lakes, 2014-2018). To validate the applicability of the model on simulating water levels in WD lakes, the actual drawdown rules were set in the model to recreate the historical water levels and compare with the in-situ observations in the first dataset. The third dataset ("Guideline_Eval_Dec1drawdown.csv") contains the probability of each WD lake reaching the drawdown level by Dec 1 which is required by the guidelines when selecting different drawdown magnitudes (1-6ft) by Dec 1 in 2015. 2016 and 2017. The fourth dataset (“Guidleine_Eval_Apr1refill.csv”) consists of the latest refill starting dates of each lake with different designed drawdown magnitude (1-6 ft) to ensure over 95% possibility for each WD lake to be fully refilled by Apr 1 in 2016, 2017, 2018.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Dates

Metadata Created Date July 26, 2023
Metadata Updated Date July 6, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date July 26, 2023
Metadata Updated Date July 6, 2024
Publisher U.S. Geological Survey
Maintainer
@Id http://datainventory.doi.gov/id/dataset/aa1dbcd2800e233d2e337f6cc4b00a47
Identifier USGS:64b1760fd34e70357a2a0133
Data Last Modified 20230718
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://datainventory.doi.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
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Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -73.49,41.2282,-69.928,42.88
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash 67d77cb95616967d4c95af58142c1a9fab3f52bc0c54967a8cd242c0909958be
Source Schema Version 1.1
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