Global Lake Chlorophyll and Methane Response to Heatwaves 2002-2024

2002–2024 annual time-series data for 3,890 global lakes, supporting research on environmental changes and extreme weather responses. The dataset includes covariates like water temperature, precipitation, GDP, and heatwave characteristics, alongside chlorophyll-a trends and methane simulation results. It was authored by Zhigang Cao and published on figshare in April 2026.

Use Cases

• Analyze trends in summer mean chlorophyll-a concentrations from 2002–2024 to study lake greening.
• Model the relationship between heatwave duration/intensity and lake water temperature or methane levels.
• Correlate socioeconomic indicators like GDP and population density with land-use metrics such as agricultural fertilizer usage.
• Use Monte Carlo simulation results to quantify uncertainty in heatwave-amplified methane emissions.
• Assess the impact of meteorological factors like wind speed and precipitation on annual chlorophyll-a levels.

Strengths

• 3,890 global lakes provide a broad spatial coverage for analysis.
• 23-year temporal coverage (2002–2024) enables long-term trend studies.
• Dataset integrates multiple data types: covariates, trend analysis, and Monte Carlo simulations.

Limitations

• Sample data and exact row counts for each file are unavailable, limiting initial assessment.
• Relies on modeled/simulated data for methane changes, introducing uncertainty beyond direct measurements.
• Geographic distribution and potential bias in lake selection are not detailed.

Provenance

Source

Zhigang Cao via figshare.

Collection Method

Likely derived from satellite remote sensing, global climate datasets, and socioeconomic data sources, with subsequent statistical and Monte Carlo modeling.

Time Range

2002–2024

Freshness

Data is current through 2024, with the record last updated in April 2026.

Geography

Global coverage of 3,890 lakes.