Applications of an Updated Atmospheric Energetics Formulation
Abstract
The Plant–Craig (PC) stochastic convective parameterization scheme is modified by linking the stochastic generation of convective clouds to the change of large-scale vertical pressure velocity at 500 hPa with time so as to better account for the relationship between convection and the large-scale environment. Three experiments using the National Center for Atmospheric Research (NCAR) Community Atmosphere Model, version 5 (CAM5), are conducted: one with the default Zhang–McFarlane deterministic convective scheme, another with the original PC stochastic scheme, and a third with the modified PC stochastic scheme. Evaluation is focused on the simulation of the Indian summer monsoon (ISM), which is a long-standing challenge for all current global circulation models. Results show that the modified stochastic scheme better represents the annual cycle of the climatological mean rainfall over central India and the mean onset date of ISM compared to other simulations. Also, for the simulations of ISM intraseasonal variability for quasi-biweekly and 30–60-day modes, the modified stochastic parameterization produces more realistic propagation and magnitude, especially for the observed northeastward movement of the 30–60-day mode, for which the other two simulations show the propagation in the opposite direction. Causes are investigated through a moisture budget analysis. Compared to the other two simulations,more »
- Authors:
-
- National Center for Atmospheric Research, Boulder, Colorado
- Publication Date:
- Research Org.:
- University Corporation for Atmospheric Research, Boulder, CO (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1459752
- Alternate Identifier(s):
- OSTI ID: 1541852
- Grant/Contract Number:
- SC0012711
- Resource Type:
- Published Article
- Journal Name:
- Journal of Climate
- Additional Journal Information:
- Journal Name: Journal of Climate Journal Volume: 31 Journal Issue: 16; Journal ID: ISSN 0894-8755
- Publisher:
- American Meteorological Society
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; Meteorology & Atmospheric Sciences
Citation Formats
Trenberth, Kevin E., and Fasullo, John T. Applications of an Updated Atmospheric Energetics Formulation. United States: N. p., 2018.
Web. doi:10.1175/JCLI-D-17-0838.1.
Trenberth, Kevin E., & Fasullo, John T. Applications of an Updated Atmospheric Energetics Formulation. United States. https://doi.org/10.1175/JCLI-D-17-0838.1
Trenberth, Kevin E., and Fasullo, John T. Wed .
"Applications of an Updated Atmospheric Energetics Formulation". United States. https://doi.org/10.1175/JCLI-D-17-0838.1.
@article{osti_1459752,
title = {Applications of an Updated Atmospheric Energetics Formulation},
author = {Trenberth, Kevin E. and Fasullo, John T.},
abstractNote = {The Plant–Craig (PC) stochastic convective parameterization scheme is modified by linking the stochastic generation of convective clouds to the change of large-scale vertical pressure velocity at 500 hPa with time so as to better account for the relationship between convection and the large-scale environment. Three experiments using the National Center for Atmospheric Research (NCAR) Community Atmosphere Model, version 5 (CAM5), are conducted: one with the default Zhang–McFarlane deterministic convective scheme, another with the original PC stochastic scheme, and a third with the modified PC stochastic scheme. Evaluation is focused on the simulation of the Indian summer monsoon (ISM), which is a long-standing challenge for all current global circulation models. Results show that the modified stochastic scheme better represents the annual cycle of the climatological mean rainfall over central India and the mean onset date of ISM compared to other simulations. Also, for the simulations of ISM intraseasonal variability for quasi-biweekly and 30–60-day modes, the modified stochastic parameterization produces more realistic propagation and magnitude, especially for the observed northeastward movement of the 30–60-day mode, for which the other two simulations show the propagation in the opposite direction. Causes are investigated through a moisture budget analysis. Compared to the other two simulations, the modified stochastic scheme with an appropriate representation of convection better represents the patterns and amplitudes of large-scale dynamical convergence and moisture advection and thus corrects the monsoon cycle associated with their covariation during the peaks and troughs of intraseasonal oscillation.},
doi = {10.1175/JCLI-D-17-0838.1},
journal = {Journal of Climate},
number = 16,
volume = 31,
place = {United States},
year = {Wed Aug 01 00:00:00 EDT 2018},
month = {Wed Aug 01 00:00:00 EDT 2018}
}
https://doi.org/10.1175/JCLI-D-17-0838.1
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