Preprints
https://doi.org/10.5194/gmd-2023-193
https://doi.org/10.5194/gmd-2023-193
Submitted as: model evaluation paper
 | 
05 Oct 2023
Submitted as: model evaluation paper |  | 05 Oct 2023
Status: a revised version of this preprint was accepted for the journal GMD and is expected to appear here in due course.

Global variable-resolution simulations of extreme precipitation over Henan, China in 2021

Zijun Liu, Li Dong, Huiling Yuan, Xingrong Li, Dongmei Meng, Xiaobin Qiu, Dingyuan Liang, and Yafei Wang

Abstract. A historic rainstorm occurred over Henan, China in July 2021 ("7.20" extreme precipitation event), resulting in significant human casualties and socio-economic losses. A global variable-resolution model (MPAS-Atmosphere v7.3) was employed to simulate this extreme precipitation event, by bridging the hydrostatic and non-hydrostatic scales together. A series of simulations have been done at both quasi-uniform (60 km and 15 km) and variable-resolution meshes (60–15 km and 60–3 km). For the 48-hour peak precipitation duration (07/20–07/22), the 60–3 km variable-resolution simulation coupled with the scale-aware convection-permitting parameterization scheme suite stands out predominately among other simulation experiments as it reproduces this extreme precipitation event most accurately, in terms of both the intensity and location of the peak precipitation. At 15-km resolution, the 60–15 km variable-resolution simulation achieves comparable forecasting skills as the 15-km quasi-uniform simulation, but at a much reduced computing cost. In addition, at 15-km resolution, we found that the default mesoscale suite generally outperforms the convection-permitting suite at 15-km resolution as simulations coupled with convection-permitting suite missed the 3rd peak of this extreme precipitation event while the mesoscale suite did not. This implies that, when the resolution of the refined region is coarser than the cloud-resolving scale, the convection-permitting parameterization scheme suite does not necessarily work better than the default mesoscale suite, but once the refined mesh is close to the cloud-resolving scale, the convection-permitting suite becomes scale aware such that it can intelligently distinguish the convective precipitation and grid-scale precipitation, respectively. Finally, it is found that the large-scale wind field plays a vital role in affecting extreme precipitation simulations since it primarily influences the transport of the water vapor flux thereby altering the prediction of the precise peak precipitation location.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Zijun Liu, Li Dong, Huiling Yuan, Xingrong Li, Dongmei Meng, Xiaobin Qiu, Dingyuan Liang, and Yafei Wang

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CEC1: 'Executive Editor comment on gmd-2023-193', Astrid Kerkweg, 23 Oct 2023
    • CC1: 'Reply on CEC1', Zijun Liu, 26 Oct 2023
  • RC1: 'Comment on gmd-2023-193', Anonymous Referee #1, 05 Nov 2023
    • AC1: 'Reply on RC1', Zijun Liu, 06 Nov 2023
      • RC2: 'Reply on AC1', Anonymous Referee #1, 06 Nov 2023
  • RC3: 'Comment on gmd-2023-193', Anonymous Referee #2, 07 Dec 2023

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CEC1: 'Executive Editor comment on gmd-2023-193', Astrid Kerkweg, 23 Oct 2023
    • CC1: 'Reply on CEC1', Zijun Liu, 26 Oct 2023
  • RC1: 'Comment on gmd-2023-193', Anonymous Referee #1, 05 Nov 2023
    • AC1: 'Reply on RC1', Zijun Liu, 06 Nov 2023
      • RC2: 'Reply on AC1', Anonymous Referee #1, 06 Nov 2023
  • RC3: 'Comment on gmd-2023-193', Anonymous Referee #2, 07 Dec 2023
Zijun Liu, Li Dong, Huiling Yuan, Xingrong Li, Dongmei Meng, Xiaobin Qiu, Dingyuan Liang, and Yafei Wang
Zijun Liu, Li Dong, Huiling Yuan, Xingrong Li, Dongmei Meng, Xiaobin Qiu, Dingyuan Liang, and Yafei Wang

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Short summary
In this study, we completed a series of simulations with the MPAS-Atmosphere (version 7.3) to study the extreme precipitation event of Henan, China, during July 20–22, 2021. We found the different performances of two built-in parameterization scheme suites (mesoscale and convection-permitting suites) with global quasi-uniform and variable-resolution meshes. This study holds significant implications for advancing the understanding of scale-aware capability of the MPAS-Atmosphere.