Articles | Volume 18, issue 20
https://doi.org/10.5194/gmd-18-7869-2025
https://doi.org/10.5194/gmd-18-7869-2025
Methods for assessment of models
 | 
27 Oct 2025
Methods for assessment of models |  | 27 Oct 2025

Urban weather modeling using WRF: linking physical assumptions, code implementation, and observational needs

Parag Joshi, Tzu-Shun Lin, Cenlin He, and Katia Lamer

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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 egusphere-2025-1751', Anonymous Referee #1, 23 Jun 2025
    • AC1: 'Reply on RC1', Parag Joshi, 01 Aug 2025
  • RC2: 'Comment on egusphere-2025-1751', Lucas Harris, 01 Jul 2025
    • AC2: 'Reply on RC2', Parag Joshi, 01 Aug 2025

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Parag Joshi on behalf of the Authors (02 Aug 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (15 Sep 2025) by Stefan Rahimi-Esfarjani
ED: Publish as is (23 Sep 2025) by Stefan Rahimi-Esfarjani
AR by Parag Joshi on behalf of the Authors (25 Sep 2025)
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Short summary
Present study revisits model that represent urban effects in the Weather Research & Forecasting model. We propose methods to identify evaluable parameters via field measurements and found inconsistencies between physics and its code implementation. Simulations reveal small errors can significantly impact outputs.
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