Articles | Volume 13, issue 2
https://doi.org/10.5194/essd-13-827-2021
https://doi.org/10.5194/essd-13-827-2021
Data description paper
 | 
03 Mar 2021
Data description paper |  | 03 Mar 2021

A high-resolution unified observational data product of mesoscale convective systems and isolated deep convection in the United States for 2004–2017

Jianfeng Li, Zhe Feng, Yun Qian, and L. Ruby Leung

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Jianfeng Li on behalf of the Authors (11 Jan 2021)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (12 Jan 2021) by David Carlson
RR by Tomeu Rigo (17 Jan 2021)
ED: Publish subject to technical corrections (27 Jan 2021) by David Carlson
AR by Jianfeng Li on behalf of the Authors (29 Jan 2021)  Author's response   Manuscript 

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Jianfeng Li on behalf of the Authors (26 Feb 2021)   Author's adjustment   Manuscript
EA: Adjustments approved (27 Feb 2021) by David Carlson
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Short summary
Deep convection has different properties at different scales. We develop a 4 km h−1 observational data product of mesoscale convective systems and isolated deep convection in the United States from 2004–2017. We find that both types of convective systems contribute significantly to precipitation east of the Rocky Mountains but with distinct spatiotemporal characteristics. The data product will be useful for observational analyses and model evaluations of convection events at different scales.
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