ZHONG et al. (2026) A Novel Metric for Quantifying Precipitation-Driven Variability in Global Terrestrial Water Storage

Identification

• Journal: IEEE Transactions on Geoscience and Remote Sensing
• Year: 2026
• Date: 2026-01-01
• Authors: Yulong ZHONG, Yan Wang, Jürgen Kusche, Baijun Tian, Yunlong Wu
• DOI: 10.1109/tgrs.2026.3650800

Research Groups

Information not available in the provided text.

Short Summary

This paper introduces a novel metric designed to quantify the variability in global terrestrial water storage that is specifically driven by precipitation.

Objective

• To develop and present a novel metric for quantifying precipitation-driven variability in global terrestrial water storage.

Study Configuration

• Spatial Scale: Global (inferred from title)
• Temporal Scale: Information not available in the provided text.

Methodology and Data

• Models used: Information not available in the provided text.
• Data sources: Information not available in the provided text.

Main Results

Information not available in the provided text.

Contributions

The primary contribution is the introduction of a novel metric for quantifying a specific component (precipitation-driven) of global terrestrial water storage variability.

Funding

Information not available in the provided text.

Citation

@article{ZHONG2026Novel,
  author = {ZHONG, Yulong and Wang, Yan and Kusche, Jürgen and Tian, Baijun and Wu, Yunlong},
  title = {A Novel Metric for Quantifying Precipitation-Driven Variability in Global Terrestrial Water Storage},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  year = {2026},
  doi = {10.1109/tgrs.2026.3650800},
  url = {https://doi.org/10.1109/tgrs.2026.3650800}
}