Preprints
https://doi.org/10.5194/essd-2021-26
https://doi.org/10.5194/essd-2021-26

  09 Feb 2021

09 Feb 2021

Review status: this preprint is currently under review for the journal ESSD.

A new merged dataset for analyzing clouds, precipitation and atmospheric parameters based on ERA5 reanalysis data and the measurements of TRMM PR and VIRS

Lilu Sun and Yunfei Fu Lilu Sun and Yunfei Fu
  • School of Earth and Space Sciences, University of Science and Technology of China, Hefei, 230026, China

Abstract. Clouds and precipitation have vital roles in the global hydrological cycle and the radiation budget of the atmosphere–Earth system and are closely related to both the regional and global climate. Changes in the status of the atmosphere inside clouds and precipitation systems are also important, but the use of multi-source datasets is hampered by their different spatial and temporal resolutions. We merged the precipitation parameters measured by the Tropical Rainfall Measuring Mission (TRMM) Precipitation Radar (PR) with the multi-channel cloud-top radiance measured by the Visible and Infrared Scanner (VIRS) and atmospheric parameters in the ERA5 reanalysis dataset. The merging of pixels between the precipitation parameters and multi-channel cloud-top radiance was shown to be reasonable. The 1B01-2A25 dataset of pixel-merged data (1B01-2A25-PMD) contains cloud parameters for each PR pixel. The 1B01-2A25 gridded dataset (1B01-2A25-GD) was merged spatially with the ERA5 reanalysis data. The statistical results indicate that gridding has no unacceptable influence on the parameters in the 1B01-2A25-PMD. In one orbit, the difference in the mean value of the near-surface rain rate and the signals measured by the VIRS was no more than 0.87 and the standard deviation was no more than 2.38. The 1B01-2A25-GD and ERA5 datasets were spatiotemporally collocated to establish the merged 1B01-2A25 gridded dataset (M-1B01-2A25-GD). Three case studies of typical cloud and precipitation events were analyzed to illustrate the practical use of the M-1B01-2A25-GD. This new merged gridded dataset can be used to study clouds and precipitation systems and provides a perfect opportunity for multi-source data analysis and model simulations. The data which were used in this paper are freely available at http://doi.org/10.5281/zenodo.4458868 (Sun and Fu,2021).

Lilu Sun and Yunfei Fu

Status: open (until 07 Apr 2021)

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Lilu Sun and Yunfei Fu

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A new merged dataset for analyzing clouds, precipitation and atmospheric parameters based on ERA5 reanalysis data and the measurements of TRMM PR and VIRS Lilu Sun and Yunfei Fu https://doi.org/10.5281/zenodo.4458868

Lilu Sun and Yunfei Fu

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Short summary
The use of multi-source datasets is hampered by their different spatial and temporal resolutions. We merged the measurements of the TRMM PR and VIRS with the ERA5 reanalysis dataset. The statistical results indicate that merging process has no unacceptable influence on the original data. The merged dataset can be helpful in studying the characteristics and changes in the clouds and precipitation systems and provides a perfect opportunity for multi-source data analysis and model simulations.