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Inundation observations, climate data, and landscape attributes for vernal pools of the northeastern United States

Dates

Publication Date
Start Date
2004-05-01
End Date
2016-07-20

Citation

Cartwright, J., Morelli, T., and Grant, E., 2020, Inundation observations and inundation model predictions for vernal pools of the northeastern United States: U.S. Geological Survey data release, https://doi.org/10.5066/P9CP2NUD.

Summary

The dataset provided here and described in this metadata document consists of several components: (1) pool-specific attributes including name and geographic location, (2) time-varying inundation observations collected between May 2004 and July 2016; (3) landscape attributes associated with pool locations including geologic, soil, and landcover characteristics; (4) short- and medium-term weather and climate variables for time periods (for example, 5-days and 6-months) immediately preceding the dates of inundation observations; and (5) long-term (30-year average) climate variables associated with pool locations.

Contacts

Attached Files

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pool_inundation_observations_and_climate_and_landscape_data.csv
“Inundation observations, climate data, and landscape attributes for vernal pools”
1.12 MB text/csv

Purpose

This dataset was used as the primary input to a machine-learning procedure to model the inundation patterns of vernal pools. Inundation observations in this dataset served as response variables in inundation models. Pool-specific attributes, weather and climate variables, and landscape attributes served as explanatory variables in inundation models. The inundation models that were trained using this dataset were subsequently used to predict pool inundation probabilities at several seasonal time points under a variety of weather and climate scenarios.

Rights

Although these data have been used by the U.S. Geological Survey, U.S. Department of the Interior, no warranty expressed or implied is made by the U.S. Geological Survey as to the accuracy of the data and related materials. The act of distribution shall not constitute any such warranty, and no responsibility is assumed by the U.S. Geological Survey in the use of this data, software, or related materials. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

Map

Communities

  • National and Regional Climate Adaptation Science Centers
  • Northeast CASC

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