PML-V2: China Staple Crop Evapotranspiration, GPP, and Yield, 2003-2018

From 2003 to 2018, this dataset provides yearly estimates of evapotranspiration (ET), gross primary production (GPP), and yield for maize, wheat, and rice across China. The data is derived from the PML-V2 model, which uses CMFD meteorological data and MODIS inputs like leaf area index. It was created by X. Li of the Chinese Academy of Sciences and is provided as yearly GeoTIFF files at a 0.0125° spatial resolution.

Use Cases

• Modeling crop water use efficiency based on yearly evapotranspiration estimates.
• Analyzing spatial and temporal trends in staple crop yields across China from 2003 to 2018.
• Validating ecosystem and agricultural models using gross primary production data for maize, wheat, and rice.
• Assessing the relationship between climate variables and crop productivity using the model-derived datasets.

Strengths

• Data spans 16 years (2003-2018), providing a multi-year time series for analysis.
• Covers three major staple crops (maize, wheat, rice) across all of China.
• Model outputs are calibrated and validated against observed ET and GPP from EC sites for each crop type.
• Has a defined spatial resolution of 0.0125° and a consistent yearly temporal resolution.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Data is model-derived (PML-V2), not direct ground measurements, which may introduce estimation errors.
• Last update date is unknown; freshness unverified.

Provenance

Source

X. Li, Chinese Academy of Sciences

Collection Method

Estimated by the Penman-Monteith-Leuning version 2 (PML-V2) model using CMFD meteorological data and MODIS inputs (LAI, Albedo, Emissivity).

Time Range

2003-2018

Geography

China