Please use this identifier to cite or link to this item:
http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/3329
Title: | Model performance metrics and process diagnostics for boreal summer intraseasonal variabilityModel performance metrics and process diagnostics for boreal summer intraseasonal variability |
Authors: | MANI, NEENA JOSEPH Waliser, Duane Jiang, Xianan Dept. of Earth and Climate Science |
Keywords: | Performance metrics Process diagnostics Boreal summer Intraseasonal variability Boreal summer intraseasonal Oscillation Process Oriented diagnostic metrics Multi-model evaluation 2017 |
Issue Date: | Mar-2017 |
Publisher: | Springer Nature |
Citation: | Climate Dynamics, 48,(5-6), 1661-1683. |
Abstract: | RRepresentation of the boreal summer intraseasonal oscillations (BSISO) is evaluated in the 20-year climate simulations from 27 general circulation models (GCMs), produced as part of a global multi-model evaluation project coordinated to study the vertical structure and physical processes of the Madden–Julian oscillation (MJO). Model performance metrics are developed to assess the simulated BSISO characteristics, with a special focus on its northward propagation over the Asian monsoon domain. Several process-oriented diagnostics developed by the MJO community are also tested for the BSISO. Simulating the phase speed and meridional extent of BSISO northward propagation, the northwest–southeast tilted rain-band structure and the quasi-biweekly mode are identified as some of the persisting problems for many GCMs. Interestingly, many of the GCMs, which capture BSISO eastward propagation, also show good fidelity in simulating BSISO northward propagation. Meridional vertical profiles of anomalous wind, temperature and diabatic heating of BSISO are better simulated in the GCMs that simulate the northward propagation. Process-oriented diagnostics based on seasonal mean vertical shear of zonal and meridional wind, large-scale rain fraction and relative humidity are also examined, but it still remains challenge to find a process diagnostic which is strongly linked to BSISO northward propagation. The complex spatial structure and presence of multi-scale disturbances, demand the development of more focused GCM evaluation metrics and process diagnostics specifically for the BSISO. |
URI: | http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/3329 https://doi.org/10.1007/s00382-016-3166-8 |
ISSN: | 0930-7575 1432-0894 |
Appears in Collections: | JOURNAL ARTICLES |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.