Vora et al. (2025) Dataset for “Data-driven Regional Analysis of Seasonal Hydrology within Contiguous United States: Sources of Asynchrony between Seasonal Precipitation and Soil Moisture Patterns”

Identification

Journal: Mendeley Data
Year: 2025
Date: 2025-12-11
Authors: Vora, Anav, Dave, Hari, Chang, Yi-Chia, Dominguez, Francina, Cai, Ximing, Sivapalan, Murugesu
DOI: 10.17632/2fttd5bx53.1

Research Groups

University of Illinois at Urbana-Champaign

Short Summary

This study conducts a data-driven regional analysis across the Contiguous United States to investigate the sources of asynchrony observed between seasonal precipitation and soil moisture patterns.

Objective

To identify and analyze the sources of asynchrony between seasonal precipitation and soil moisture patterns within the Contiguous United States.

Study Configuration

Spatial Scale: Contiguous United States
Temporal Scale: Seasonal patterns analyzed over a long-term period.

Methodology and Data

Models used: Data-driven analysis; no specific hydrological model explicitly stated as developed or used by this study for simulation, but relies on a hydrologically based dataset.
Data sources: Livneh et al. (2013) dataset, specifically gridded data for precipitation, soil moisture, surface runoff, and evapotranspiration.

Main Results

The provided text is a dataset description and does not contain the main results of the associated scientific paper.

Contributions

This dataset provides all code and instructions necessary to reproduce the results of a data-driven regional analysis focusing on the asynchrony between seasonal precipitation and soil moisture patterns across the Contiguous United States, enhancing reproducibility in hydrological research.

Funding

Not specified in the provided text.

Citation

@article{Vora2025Dataset,
  author = {Vora, Anav and Dave, Hari and Chang, Yi-Chia and Dominguez, Francina and Cai, Ximing and Sivapalan, Murugesu},
  title = {Dataset for “Data-driven Regional Analysis of Seasonal Hydrology within Contiguous United States: Sources of Asynchrony between Seasonal Precipitation and Soil Moisture Patterns”},
  journal = {Mendeley Data},
  year = {2025},
  doi = {10.17632/2fttd5bx53.1},
  url = {https://doi.org/10.17632/2fttd5bx53.1}
}

Original Source: https://doi.org/10.17632/2fttd5bx53.1