Articles | Volume 13, issue 5
Earth Syst. Sci. Data, 13, 2293–2306, 2021
Earth Syst. Sci. Data, 13, 2293–2306, 2021
Data description paper
26 May 2021
Data description paper | 26 May 2021

A new merged dataset for analyzing clouds, precipitation and atmospheric parameters based on ERA5 reanalysis data and the measurements of the Tropical Rainfall Measuring Mission (TRMM) precipitation radar and visible and infrared scanner

Lilu Sun and Yunfei Fu

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Cited articles

Awaka, J., Iguchi, T., Kumagai, H., and Okamoto, K.: Rain type classification algorithm for TRMM precipitation radar, IEEE International Geoscience and Remote Sensing Symposium Proceedings. Remote Sensing – A Scientific Vision for Sustainable Development, Singapore, 3–8 August 1997,, 1997. 
Baker, M. B.: Cloud Microphysics and Climate, Science, 276, 1072–1078,, 1997. 
Chen, F. and Fu, Y. F.: Characteristics of typhoon precipitation and non-typhoon precipitation over East Asia based on merged PR and VIRS data, Climatic. Environ. Res., 20, 62–74,, 2015 (in Chinese). 
Chen, F., Sheng, S., Bao, Z., Wen, H., Hua, L., Paul, N. J., and Fu, Y.: Precipitation Clouds Delineation Scheme in Tropical Cyclones and Its Validation Using Precipitation and Cloud Parameter Datasets from TRMM, J. Appl. Meteorol. Climatol., 57, 821–836,, 2018. 
Chen, Y. and Fu, Y.: Characteristics of VIRS Signals within Pixels of TRMM PR for Warm Rain in the Tropics and Subtropics, J. Appl. Meteorol. Climatol., 56, 789–801,, 2017. 
Short summary
Multi-source dataset use is hampered by use of different spatial and temporal resolutions. We merged Tropical Rainfall Measuring Mission precipitation radar and visible and infrared scanner measurements with ERA5 reanalysis. The statistical results indicate this process has no unacceptable influence on the original data. The merged dataset can help in studying characteristics of and changes in cloud and precipitation systems and provides an opportunity for data analysis and model simulations.