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Title: Influence of Superparameterization and a Higher-Order Turbulence Closure on Rainfall Bias Over Amazonia in Community Atmosphere Model Version 5

Abstract

In this work, we evaluate the Community Atmosphere Model Version 5 (CAM5) with a higher-order turbulence closure scheme, named Cloud Layers Unified By Binomials (CLUBB), and a Multiscale Modeling Framework (MMF) with two different microphysics configurations to investigate their influences on rainfall simulations over Southern Amazonia. The two different microphysics configurations in MMF are the one-moment cloud microphysics without aerosol treatment (SAM1MOM) and two-moment cloud microphysics coupled with aerosol treatment (SAM2MOM). Results show that both MMF-SAM2MOM and CLUBB effectively reduce the low biases of rainfall, mainly during the wet season. The CLUBB reduces low biases of humidity in the lower troposphere with further reduced shallow clouds. The latter enables more surface solar flux, leading to stronger convection and more rainfall. MMF, especially MMF-SAM2MOM, unstablizes the atmosphere with more moisture and higher atmospheric temperatures in the atmospheric boundary layer, allowing the growth of more extreme convection and further generating more deep convection. MMF-SAM2MOM significantly increases rainfall in the afternoon, but it does not reduce the early bias of the diurnal rainfall peak; LUBB, on the other hand, delays the afternoon peak time and produces more precipitation in the early morning, due to more realistic gradual transition between shallow and deep convection.more » MMF appears to be able to realistically capture the observed increase of relative humidity prior to deep convection, especially with its two-moment configuration. In contrast, in CAM5 and CAM5 with CLUBB, occurrence of deep convection in these models appears to be a result of stronger heating rather than higher relative humidity.« less

Authors:
ORCiD logo [1]; ORCiD logo [2];  [1]; ORCiD logo [3]; ORCiD logo [4]; ORCiD logo [3]; ORCiD logo [1]; ORCiD logo [5]
  1. Univ. of Texas, Austin, TX (United States)
  2. Univ. of Texas, Austin, TX (United States); Univ. of California, Los Angeles, CA (United States)
  3. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  4. Nanjing Univ. (China); Collaborative Innovation Center of Climate Change, Nanjing (China)
  5. Centro Nacional de Monitoramento e Alertas aos Desastres Naturais, São Jose dos Campos (Brazil)
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
Fundação de Amparo à Pesquisa do Estado do Amazonas (FAPEAM) (Brazil); São Paulo Research Foundation (FAPESP) (Brazil); USDOE Office of Science (SC); National Natural Science Foundation of China (NNSFC)
OSTI Identifier:
1406792
Alternate Identifier(s):
OSTI ID: 1393718
Report Number(s):
[PNNL-SA-123731]
[Journal ID: ISSN 2169-897X; KP1703010; KP1703040]
Grant/Contract Number:  
[AC05-76RL01830; SC0011117; 41575073; 41621005; 2013/50538-7; AC06-76RLO-1830]
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Geophysical Research: Atmospheres
Additional Journal Information:
[ Journal Volume: 122; Journal Issue: 18]; Journal ID: ISSN 2169-897X
Publisher:
American Geophysical Union
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES; convective and cloud parameterizations; rainfall; Amazon; superparameterization

Citation Formats

Zhang, Kai, Fu, Rong, Shaikh, Muhammad J., Ghan, Steven, Wang, Minghuai, Leung, L. Ruby, Dickinson, Robert E., and Marengo, Jose. Influence of Superparameterization and a Higher-Order Turbulence Closure on Rainfall Bias Over Amazonia in Community Atmosphere Model Version 5. United States: N. p., 2017. Web. doi:10.1002/2017JD026576.
Zhang, Kai, Fu, Rong, Shaikh, Muhammad J., Ghan, Steven, Wang, Minghuai, Leung, L. Ruby, Dickinson, Robert E., & Marengo, Jose. Influence of Superparameterization and a Higher-Order Turbulence Closure on Rainfall Bias Over Amazonia in Community Atmosphere Model Version 5. United States. doi:10.1002/2017JD026576.
Zhang, Kai, Fu, Rong, Shaikh, Muhammad J., Ghan, Steven, Wang, Minghuai, Leung, L. Ruby, Dickinson, Robert E., and Marengo, Jose. Thu . "Influence of Superparameterization and a Higher-Order Turbulence Closure on Rainfall Bias Over Amazonia in Community Atmosphere Model Version 5". United States. doi:10.1002/2017JD026576. https://www.osti.gov/servlets/purl/1406792.
@article{osti_1406792,
title = {Influence of Superparameterization and a Higher-Order Turbulence Closure on Rainfall Bias Over Amazonia in Community Atmosphere Model Version 5},
author = {Zhang, Kai and Fu, Rong and Shaikh, Muhammad J. and Ghan, Steven and Wang, Minghuai and Leung, L. Ruby and Dickinson, Robert E. and Marengo, Jose},
abstractNote = {In this work, we evaluate the Community Atmosphere Model Version 5 (CAM5) with a higher-order turbulence closure scheme, named Cloud Layers Unified By Binomials (CLUBB), and a Multiscale Modeling Framework (MMF) with two different microphysics configurations to investigate their influences on rainfall simulations over Southern Amazonia. The two different microphysics configurations in MMF are the one-moment cloud microphysics without aerosol treatment (SAM1MOM) and two-moment cloud microphysics coupled with aerosol treatment (SAM2MOM). Results show that both MMF-SAM2MOM and CLUBB effectively reduce the low biases of rainfall, mainly during the wet season. The CLUBB reduces low biases of humidity in the lower troposphere with further reduced shallow clouds. The latter enables more surface solar flux, leading to stronger convection and more rainfall. MMF, especially MMF-SAM2MOM, unstablizes the atmosphere with more moisture and higher atmospheric temperatures in the atmospheric boundary layer, allowing the growth of more extreme convection and further generating more deep convection. MMF-SAM2MOM significantly increases rainfall in the afternoon, but it does not reduce the early bias of the diurnal rainfall peak; LUBB, on the other hand, delays the afternoon peak time and produces more precipitation in the early morning, due to more realistic gradual transition between shallow and deep convection. MMF appears to be able to realistically capture the observed increase of relative humidity prior to deep convection, especially with its two-moment configuration. In contrast, in CAM5 and CAM5 with CLUBB, occurrence of deep convection in these models appears to be a result of stronger heating rather than higher relative humidity.},
doi = {10.1002/2017JD026576},
journal = {Journal of Geophysical Research: Atmospheres},
number = [18],
volume = [122],
place = {United States},
year = {2017},
month = {9}
}

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