Preprints
https://doi.org/10.5194/gmd-2021-61
https://doi.org/10.5194/gmd-2021-61

Submitted as: review and perspective paper 30 Apr 2021

Submitted as: review and perspective paper | 30 Apr 2021

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

Empirical values and assumptions in the convection of numerical models

Anahí Villalba-Pradas and Francisco J. Tapiador Anahí Villalba-Pradas and Francisco J. Tapiador
  • University of Castilla-La Mancha, Earth and Space Sciences (ess) Research Group, Department of Environmental Sciences, Institute of Environmental Sciences, Avda. Carlos III s/n, Toledo 45071, Spain

Abstract. Convection influences climate and weather events over a wide range of spatial and temporal scales. Therefore, accurate predictions of the time and location of convection and its development into severe weather are of great importance. Convection has to be parameterized in Numerical Weather Prediction models, Global Climate Models, and Earth System Models (NWPs, GCMs, and ESMs) as the key physical processes occur at scales much lower than the model grid size. The convection schemes described in the literature represent the physics by simplified models that require assumptions about the processes and the use of a number of parameters based on empirical values. The present paper examines these choices and their impacts on model outputs and emphasizes the importance of observations to improve our current understanding of the physics of convection.

Anahí Villalba-Pradas and Francisco J. Tapiador

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2021-61', Anonymous Referee #1, 02 Jun 2021
  • RC2: 'Comment on gmd-2021-61', Anonymous Referee #2, 23 Jul 2021
  • AC1: 'Comment on gmd-2021-61', Anahí Villalba-Pradas, 17 Sep 2021

Anahí Villalba-Pradas and Francisco J. Tapiador

Anahí Villalba-Pradas and Francisco J. Tapiador

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Short summary
We review the main assumptions and empirical values in convection parameterizations, highlighting their impacts on model outputs. We emphasize the
importance of observations to improve our current understanding of the physics of convection. This contribution fills a gap in current literature. It can help modelers to develop more accurate predictions of the time and location of convection and its subsequent development into severe weather.