Published May 14, 2026 | Version v1.0
Dataset Open

Dataset and source codes for Araki et al., (2026) "Continental-scale prediction of hydrologic signatures and processes"

  • 1. San Diego State University
  • 2. U.S. Geological Survey
  • 3. ROR icon Virginia Tech
  • 4. ROR icon University of Bristol

Description

This repository contains code used to generate results for the following manuscript:

Araki, R., Holt, A., Hammond, J. C., Husic, A., Coxon, G., and McMillan, H. K. (2026). Continental-scale prediction of hydrologic signatures and processes, Hydrology and Earth System Sciences (in press).

This research analyzed streamflow patterns (hydrologic signatures) to predict hydrologic processes across the continental United States.

src-signature-prediction.zip: Contains code for the data pipeline, signature analysis, and random forest modeling. Continuously developed at https://github.com/RY4GIT/signature-prediction

src-Wetland_GeologicAge_Attributes.zip: Contains code for extracting wetland and geologic age attributes. Continuously developed at https://github.com/RY4GIT/Wetland_GeologicAge_Attributes

data.zip: Contains the output dataset from the analysis, including observed and predicted signature values.

Files

data.zip

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