Wu et al. (2025) Time Series Consistency of Passive Microwave Sensors (1978–2023) Brightness Temperature Data for Snow Depth Estimation

Identification

• Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
• Year: 2025
• Date: 2025-12-05
• Authors: Min Wu, Lingmei Jiang, Jianwei Yang, Shengli Wu, Guangjin Liu, Cheng Zhang
• DOI: 10.1109/jstars.2025.3640871

Research Groups

Not available from the provided text.

Short Summary

This paper investigates the time series consistency of passive microwave sensor brightness temperature data from 1978 to 2023, aiming to improve the reliability and accuracy of snow depth estimation over this extended period.

Objective

• To assess and enhance the long-term (1978–2023) consistency of brightness temperature data derived from various passive microwave sensors to improve the accuracy and reliability of snow depth estimations.

Study Configuration

• Spatial Scale: Global (inferred from the use of passive microwave sensors, typically satellite-borne).
• Temporal Scale: 1978–2023 (45 years).

Methodology and Data

• Models used: Likely involves inter-sensor calibration techniques, radiative transfer models, and/or snow depth retrieval algorithms (specific models not available from the provided text).
• Data sources: Brightness temperature data from various passive microwave sensors (specific sensors not available from the provided text, but would cover the 1978-2023 period).

Main Results

The study likely quantifies the inconsistencies among different passive microwave sensors over the 45-year period and proposes methods or corrections to achieve a more consistent long-term dataset, demonstrating improved accuracy in snow depth estimation. (Specific quantitative results not available from the provided text).

Contributions

Provides a harmonized and consistent long-term passive microwave brightness temperature dataset, which is crucial for climate studies and long-term monitoring of snow depth, by addressing challenges related to sensor drift and inter-sensor differences. (Specific contributions not available from the provided text).

Funding

Not available from the provided text.

Citation

@article{Wu2025Time,
  author = {Wu, Min and Jiang, Lingmei and Yang, Jianwei and Wu, Shengli and Liu, Guangjin and Zhang, Cheng},
  title = {Time Series Consistency of Passive Microwave Sensors (1978–2023) Brightness Temperature Data for Snow Depth Estimation},
  journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  year = {2025},
  doi = {10.1109/jstars.2025.3640871},
  url = {https://doi.org/10.1109/jstars.2025.3640871}
}