Daily climate data from 2015 to 2025 for Zhengzhou, China, including air temperature, relative humidity, wind speed, solar radiation, and precipitation. The dataset was created by Xiangrong Liu and last updated in May 2026 to support a framework integrating big climate data with differential equation models for environmental prediction. Forecasts derived from the model extend to 2030.
Use Cases
- Training differential equation models for environmental system forecasting based on daily climate variables.
- Analyzing correlations between climatic factors like temperature and solar radiation based on the strong positive association (r ≈ 0.95) described.
- Validating predictive models for environmental assessment using reported performance metrics (RMSE = 0.041, MAE = 0.032, R² = 0.87).
Strengths
- Includes a 10-year daily time series from 2015 to 2025 for five key climate variables.
- Model validation results are provided with specific metrics: RMSE of 0.041, MAE of 0.032, and R² of 0.87.
- Data is openly licensed under CC-BY-4.0.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- The dataset is small at 149.0 KB, indicating a limited scope.
Provenance
- Source
- figshare, author Xiangrong Liu.
- Collection Method
- Collected daily climate data and integrated with a formulated differential equation model.
- Time Range
- 2015 to 2025, with forecasts to 2030.
- Freshness
- Last updated 2026-05-18 05:43:05; freshness should be verified.
- Geography
- Zhengzhou, China.