Daily Surface Net Radiation Over Global Land from AVHRR Data, 1981-2019

A 39-year daily record of surface net radiation generated using a deep learning method to upscale in-situ measurements from globally distributed sites. The product has a spatial resolution of 0.05° and an RMSE of approximately 26 Wm⁻². It was created by Jianglei Xu of Wuhan University from AVHRR satellite data.

Use Cases

• Study long-term climate change impacts on surface energy balance based on the 39-year time series.
• Model regional-scale land processes like evapotranspiration based on high-resolution (0.05°) radiation data.
• Validate and compare other reanalysis or satellite radiation products based on the reported RMSE accuracy.

Strengths

• Covers a 39-year period from 1981 to 2019, suitable for long-term climate studies.
• Provides a high spatial resolution of 0.05°, which is finer than typical reanalysis products.
• Reported RMSE of ~26 Wm⁻² suggests accuracy generally better than some current reanalysis and satellite products.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file size are unknown, which may limit suitability assessment.

Provenance

Source

AVHRR satellite data and in-situ measurements from globally distributed sites.

Collection Method

Generated using a deep learning method to upscale in-situ measurements.

Time Range

1981-2019

Geography

Global land coverage