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Inundation predictions for vernal pools of the northeastern United States at various seasonal time points under various weather and climate scenarios

Dates

Publication Date
Start Date
1981
End Date
2100

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 contains predicted wetness probability (PWP) values for vernal pools under a variety of weather and climate conditions at several seasonal time points, generated using inundation models as described in the processing steps section of this metadata document and in the annotated R script included in this data release ("annotated_R_script_for_pool_inundation_modeling.R"). PWP values represent the predicted likelihood of a pool holding water according to a specified inundation threshold, as defined in this metadata document. PWP values can theoretically range from 0 (pool is predicted to have no chance of inundation) to 1 (pool is predicted to have 100 percent likelihood [...]

Contacts

Point of Contact :
Jennifer M Cartwright
Originator :
Jennifer M Cartwright
Metadata Contact :
Jennifer M Cartwright
Publisher :
U.S. Geological Survey
Distributor :
U.S. Geological Survey - ScienceBase

Attached Files

Click on title to download individual files attached to this item.

pool_inundation_predictions.csv
“Inundation predictions for vernal pools”
2.36 MB text/csv

Purpose

This dataset represents the results of the prediction phase of inundation modeling for vernal pools in this data release. The purpose of this dataset is to present model predictions of wetness probability (i.e., inundation likelihood) 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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