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Title: Sources of errors in the simulation of south Asian summer monsoon in the CMIP5 GCMs

Journal Article · · Climate Dynamics
ORCiD logo [1];  [1];  [1];  [2];  [3]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Climate Change Science Inst.
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Climate Change Science Inst.; Stanford Univ., CA (United States). Dept. of Earth System Science
  3. Pacific Northwest National Lab. (PNNL), Richland, WA (United States). Atmospheric Science and Global Change Div. (ASGC)

Accurate simulation of the South Asian summer monsoon (SAM) is still an unresolved challenge. There has not been a benchmark effort to decipher the origin of undesired yet virtually invariable unsuccessfulness of general circulation models (GCMs) over this region. Our study analyzes a large ensemble of CMIP5 GCMs to show that most of the simulation errors in the precipitation distribution and their driving mechanisms are systematic and of similar nature across the GCMs, with biases in meridional differential heating playing a critical role in determining the timing of monsoon onset over land, the magnitude of seasonal precipitation distribution and the trajectories of monsoon depressions. Furthermore, errors in the pre-monsoon heat low over the lower latitudes and atmospheric latent heating over the slopes of Himalayas and Karakoram Range induce significant errors in the atmospheric circulations and meridional differential heating. Lack of timely precipitation further exacerbates such errors by limiting local moisture recycling and latent heating aloft from convection. Most of the summer monsoon errors and their sources are reproducible in the land–atmosphere configuration of a GCM when it is configured at horizontal grid spacing comparable to the CMIP5 GCMs. And while an increase in resolution overcomes many modeling challenges, coarse resolution is not necessarily the primary driver in the exhibition of errors over South Asia. Our results highlight the importance of previously less well known pre-monsoon mechanisms that critically influence the strength of SAM in the GCMs and highlight the importance of land–atmosphere interactions in the development and maintenance of SAM.

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Sponsoring Organization:
USDOE Office of Science (SC); USDOD
Grant/Contract Number:
AC05-00OR22725; 32112413; AC05-76RL01830; 3ERKP777; AC0576RL01830
OSTI ID:
1327572
Alternate ID(s):
OSTI ID: 1335868
Journal Information:
Climate Dynamics, Journal Name: Climate Dynamics; ISSN 0930-7575
Publisher:
Springer-VerlagCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 71 works
Citation information provided by
Web of Science

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Cited By (10)

Indian summer monsoon: Extreme events, historical changes, and role of anthropogenic forcings journal December 2018
South Asian monsoon precipitation in CMIP5: a link between inter-model spread and the representations of tropical convection journal March 2018
Disentangling the influence of local and remote anthropogenic aerosols on South Asian monsoon daily rainfall characteristics journal October 2018
The role of anthropogenic aerosols in future precipitation extremes over the Asian Monsoon Region journal October 2018
How can CMIP5 AGCMs’ resolution influence precipitation in mountain areas: the Hengduan Mountains? journal October 2019
Sensitivity of convective and land surface parameterization in the simulation of contrasting monsoons over CORDEX-South Asia domain using RegCM-4.4.5.5 journal August 2019
Role of Extreme Precipitation and Initial Hydrologic Conditions on Floods in Godavari River Basin, India journal November 2019
A substantial rise in the area and population affected by dryness in South Asia under 1.5 °C, 2.0 °C and 2.5 °C warmer worlds journal November 2019
Changing circulation structure and precipitation characteristics in Asian monsoon regions: greenhouse warming vs. aerosol effects journal November 2017
Evaluating the predictability of central Indian rainfall on short and long timescales using theory of nonlinear dynamics journal July 2019

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