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Implementation of a new cumulus parameterization scheme based on an explicit time-dependent tilting cloud model in ARPS model

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Abstract

A one-dimensional Explicit Time-dependent Tilting cloud Model (ETTM) that separates updraft and downdraft columns and takes into account the effect of cloud tilting on precipitation is introduced and incorporated into the Advanced Regional Prediction System (ARPS). Results of the stand-alone ETTM are compared with that of cloud resolving simulations using the ARPS mesoscale model. Inter-comparison is performed by qualitative examination of simulated parameters such as vertical distribution of fluxes of mass, heat, and moisture. Although there is a great degree of similarity between the vertical profiles, ETTM systematically underestimates magnitudes of all fluxes. Sensitivity tests carried with ETTM show that the effect of varying cloud radius and tilting angle is considerable on the simulated cloud behavior. Increasing the cloud radius, results in a corresponding increase in fluxes of mass, heat, and moisture, while increasing the cloud tilt angle has the opposite effect. Since ETTM showed promise as a suitable sub-grid cumulus parameterization scheme; it was incorporated into ARPS as an additional cumulus parameterization scheme (CPS) to be available for the wider community. Results of simulations using ETTM and other CPSs already available in ARPS were compared for 2, 4 and 10 km grid spacings to assess its utility. Simulation results of the 2 km grid showed that at this resolution, the simulated time series of updraft velocities using the new scheme (ETTM) compared well with the results of other schemes in the ARPS model. The simulations with horizontal resolution of 4 km that was compared with the convection resolving reference run (No-CPS-2KM) showed almost consistent results for all schemes except for one using KF scheme. The results of the simulation with the ETTM scheme and other schemes in the model with resolution of 10 km showed that at this resolution, there is not significant difference between the uses of these schemes.

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Authors and Affiliations

  1. Institute of Geophysics, University of Tehran, Post Box: 14155-6466, Tehran, Islamic Republic of Iran

    Maryam Gharaylou, Abbas-Ali A. Bidokhti & Majid-M. Farahani

  2. Centre for Atmospheric Research, University of Canterbury, Christchurch, New Zealand

    Peyman Zawar-Reza

Authors
  1. Maryam Gharaylou
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  2. Peyman Zawar-Reza
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  3. Abbas-Ali A. Bidokhti
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  4. Majid-M. Farahani
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Correspondence to Maryam Gharaylou.

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Responsible editor: S. Hong.

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Gharaylou, M., Zawar-Reza, P., Bidokhti, AA.A. et al. Implementation of a new cumulus parameterization scheme based on an explicit time-dependent tilting cloud model in ARPS model. Meteorol Atmos Phys 122, 145–158 (2013). https://doi.org/10.1007/s00703-013-0280-6

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