Li et al. (2026) Multi-Timescale Variations in Cloud Water Resources and Their Relationships with Climatic and Environmental Factors over Northwest China

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: Remote Sensing
• Year: 2026
• Date: 2026-09-11
• Authors: Yao Li, Qiang Zhang, Hui Jing, Rong WANG, Peilong Ye
• DOI: 10.3390/rs18183117

Research Groups

• Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences
• University of [Insert University Name]

Short Summary

This study investigates the variability and influencing factors of cloud water path in northwest China using multi-source datasets, revealing consistent temporal patterns but differing absolute values and trends. The research highlights the importance of understanding cloud water resources for regional water management.

Objective

• Investigate the consistency and differences among ERA5, JRA-3Q reanalysis datasets, and satellite cloud products in capturing cloud water path variations.
• Characterize the multi-timescale variability of cloud water path using trend analysis, change-point detection, and ensemble empirical mode decomposition (EEMD).
• Examine the associations between cloud water path variability and climatic and environmental factors.

Study Configuration

• Spatial Scale: Northwest China
• Temporal Scale: 1960–2025

Methodology and Data

• Models used: ERA5, JRA-3Q reanalysis datasets
• Data sources: MODIS, Cloud_cci satellite cloud products

Main Results

• Multi-source datasets generally agreed on the temporal variability of cloud water path.
• IWP contributed substantially to CWP variability across most timescales.
• LWP, IWP, and CWP showed gradual increasing tendencies with no significant change points detected.
• EEMD analysis revealed variability components at approximately 3-year and 7–9-year timescales.

Contributions

• This study provides a comprehensive understanding of cloud water path variability in northwest China, highlighting the importance of considering both liquid and ice water paths for accurate assessments.
• The research contributes to the development of more reliable methods for characterizing cloud water resources, which is essential for regional water management.

Funding

• National Natural Science Foundation of China (Grant No. [Insert Grant Number])
• Chinese Academy of Sciences Key Research Program (Grant No. [Insert Grant Number])

Citation

@article{Li2026MultiTimescale,
  author = {Li, Yao and Zhang, Qiang and Jing, Hui and WANG, Rong and Ye, Peilong},
  title = {Multi-Timescale Variations in Cloud Water Resources and Their Relationships with Climatic and Environmental Factors over Northwest China},
  journal = {Remote Sensing},
  year = {2026},
  doi = {10.3390/rs18183117},
  url = {https://doi.org/10.3390/rs18183117}
}