Articles | Volume 22, issue 11
Atmos. Chem. Phys., 22, 7287–7317, 2022
https://doi.org/10.5194/acp-22-7287-2022
Atmos. Chem. Phys., 22, 7287–7317, 2022
https://doi.org/10.5194/acp-22-7287-2022
Research article
07 Jun 2022
Research article | 07 Jun 2022

Evaluating seasonal and regional distribution of snowfall in regional climate model simulations in the Arctic

Annakaisa von Lerber et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2021-1064', Anonymous Referee #1, 29 Jan 2022
  • RC2: 'Comment on acp-2021-1064', Anonymous Referee #2, 13 Mar 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Annakaisa von Lerber on behalf of the Authors (29 Apr 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (01 May 2022) by Hailong Wang
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Short summary
Snowfall is an important climate indicator. However, microphysical snowfall processes are challenging for atmospheric models. In this study, the performance of a regional climate model is evaluated in modeling the spatial and temporal distribution of Arctic snowfall when compared to CloudSat satellite observations. Excellent agreement in averaged annual snowfall rates is found, and the shown methodology offers a promising diagnostic tool to investigate the shown differences further.
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