Related Experiment Video
Updated: Jul 3, 2026
10:28
Investigating the Relationship between Sea Surface Chlorophyll and Major Features of the South China Sea with Satellite Information
Published on: June 13, 2020
Multiscale attribution of atmospheric methane variability in China using satellite observations and interpretable
Divya Singh1, Jinkai Luan1, Hongzheng Zhu1
1Key Laboratory of Hydrometeorological Disaster Mechanism and Warning of Ministry of Water Resources/School of Hydrology and Water Resources, Nanjing University of Information Science and Technology, Nanjing, 210044, China.
Journal of Environmental Management
|July 1, 2026
Summary
Rising methane levels are influenced by temperature, vegetation, and precipitation. This study offers a new framework to understand these drivers for better methane management in China.
Area of Science:
- Environmental Science
- Atmospheric Chemistry
- Climate Science
Background:
- Methane is a significant greenhouse gas contributing to near-term climate warming.
- Rising atmospheric methane concentrations persist despite mitigation efforts.
- Understanding methane regulation by environmental drivers in China is complex due to diverse emission sources.
Purpose of the Study:
- To develop an integrated multiscale analytical framework for investigating seasonal and regional methane variability in China.
- To evaluate the primary environmental controls on atmospheric methane using satellite observations.
- To provide a data-driven framework for process-informed attribution and methane management.
Main Methods:
- Utilized Sentinel-5P/TROPOMI satellite observations (2019-2025).
- Validated satellite data against ground measurements.
- Implemented a multi-model framework including geographically weighted regression (GWR), grey relational analysis (GRA), and ensemble machine learning.
Main Results:
- Identified pronounced seasonal variability in methane concentrations across China.
- Temperature emerged as the dominant control factor, especially in summer, linked to microbial production.
- Vegetation productivity and precipitation showed secondary, seasonally dependent effects, with hydrological controls significant in winter.
Conclusions:
- The study provides a robust, data-driven framework for understanding methane-environment interactions at seasonal and regional scales.
- Findings support regional screening for targeted methane management strategies.
- Local validation is necessary for facility-level mitigation decisions.
