As a key component of the earth's energy balance system, surface longwave downward radiation (LWDR) is of great significance to the study of ecology and climate change. With the continuous improvement of remote sensing estimation accuracy and spatial-temporal resolution and accuracy of reanalysis data, remote sensing and reanalysis data fusion will be a new way to further improve the reliability and spatial-temporal continuity of key parameters such as surface radiation. Considering the difference in spatial-temporal resolution and local regional accuracy of current multi-source LWDR data, the study combines the measured data of stations around the world, spatio-temporal fusion of remote sensing observation data (CERES) with reanalysis data ERA5 and GLDAS, and develops a high-precision surface longwave downward radiation dataset covering the world from 2000 to 2020 with a spatial-temporal resolution of 1h/0.25 °. The correlation coefficient (R), mean deviation error (bias) and root mean square error (RMSE) of the newly developed dataset and the site measured data verified on the land surface are 0.97, -0.95 Wm-2 and 22.38 Wm-2, respectively; On the ocean surface, it is 0.99, -0.88 Wm-2 and 10.96 Wm-2, respectively. In particular, compared with the existing data, the new dataset shows better accuracy and stability in the middle and low latitudes and complex terrain areas.

File naming and required software

File name: YYYYMMDD_ LWDR. nc
Of which, YYYY means year, MM means month, DD means specific days, LWDR: surface longwave downward radiation
nc: netcdf4 format
For example: 20180101_ LWDR. NC represents the surface longwave downward radiation data of 24 hours from 0:00 to 23:00 on January 1, 2018 (UTC time). For more information description including longitude and latitude range, please refer to the self description information inside the NC data.
Usage: you can use ArcGIS, python, IDL and other programming languages to read. Y = DN * 0.1。 Where y is the real surface longwave downward radiation (Wm-2) and DN is the digital quantized value, that is, the real radiation value needs to multiply the quantized value in the file by a coefficient of 0.1.

Data Citations Data citation guideline What's data citation?

Cite as:

Wang, T., Wang, S. (2022). Fused global land surface longwave downward radiation dataset (2016-2020, 1h/0.25°). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Atmos.tpdc.272700. CSTR: 18406.11.Atmos.tpdc.272700. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Wang, S., Wang, T., Leng, W., Wang, G., & Letu, H. (2022). Toward an Improved Global Longwave Downward Radiation Product by Fusing Satellite and Reanalysis Data. IEEE Transactions on Geoscience and Remote Sensing, 60, 1-16, Art no. 4108416, doi: 10.1109/TGRS.2022.3179017.( View Details | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

Support Program

National Key R&D Program of China (No:2018YFA0605401)

National Natural Science Foundation of China (No:42022008)

The Innovation Group Project of Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) (No:311021008)

Copyright & License

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.

License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)