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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

Published by U.S. Geological Survey | Department of the Interior | Metadata Last Checked: January 27, 2026 | Last Modified: 2020-08-21T00:00:00Z
This data release includes data-processing scripts, data products, and associated metadata for a study to model the hydrology of several hundred vernal pools (i.e., seasonal pools or ephemeral wetlands) across the northeastern United States. The dataset 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 of inundation), with higher PWP values indicating greater predicted likelihood of inundation. PWP values were generated for each pool for each combination of 4 inundation metrics, 5 seasonal time points, 3 weather scenarios, and 5 climate scenarios, yielding a total of 300 PWP attributes. This dataset also contains an assessment of the confidence associated with inundation predictions, representing combined criteria concerning the number of inundation observations for each pool along with cross-validation accuracy of the inundation modeling approach.

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