Title
Regional earth system model for CORDEX-South Asia: A comparative assessment of RESM and ESM over the tropical Indian Ocean
Date Issued
01 January 2022
Access level
open access
Resource Type
journal article
Author(s)
Kumar P.
Mallick S.
Mishra A.K.
Dubey A.K.
Tiwari G.
Sein D.V.
Cabos W.
Jacob D.
Publisher(s)
John Wiley and Sons Ltd
Abstract
Understanding climate variability requires good quality high resolution spatially and temporally varying ocean fields due to its decisive role in regulating the region's climate, including the Indian summer monsoon. In this regard, we employed a new high-resolution regional earth system model (RESM), namely ROM over CORDEX South Asia. We demonstrated the performance of the RESM and its added value over the global earth system model, namely MPI-ESM, in simulating the hydrographic characteristics and associated mechanism over the tropical Indian Ocean (TIO). ROM shows better skill than MPI-ESM in simulating the near-surface and subsurface characteristics of the ocean. However, larger added values are noticed for subsurface (>350 m) thermal structure. MPI-ESM's cold sea surface temperature (SST) bias is reduced in ROM which is associated with weaker winds, anomalous cyclonic wind stress curl, enhanced stratifications, and a shallower mixed layer, resulting in greater upper-ocean heating. The reduced SST bias is also consistent with improved ocean meridional heat transport (OMHT) in ROM. For example, reduced southward export of OMHT over the Arabian Sea increases the surface warming by ~4%, reducing the RMSE by ~0.2–0.6°C and becoming closer to observation. The anomalous cyclonic wind stress curl, in turn, caused mixed layer stratifications in the western Indian Ocean. The advective heat transfer from the south-eastern Indian Ocean to the western Indian Ocean reduced oceanic cooling by vertical processes, overcame the cooling by the net loss of surface heat fluxes, and favoured the TIO's surface warming.
Language
English
OCDE Knowledge area
Meteorología y ciencias atmosféricas Geociencias, Multidisciplinar
Scopus EID
2-s2.0-85137006567
Source
International Journal of Climatology
ISSN of the container
08998418
Sponsor(s)
We thank three anonymous reviewers for their constructive comments and suggestions, which have helped us improve the overall quality of the paper. This work is jointly supported by the Department of Science and Technology (DST), Govt. of India, grant number DST/INT/RUS/RSF/P‐33/G, and the Russian Science Foundation (Project No.: 19‐47‐02015). Gaurav Tiwari acknowledges funding from the DST‐INSPIRE fellowship (registration no. IF160165). Aditya Kumar Dubey acknowledges IISER Bhopal for a Ph.D. fellowship). William Cabos has been funded by the Alcala University project PIUAH21/CC‐058. DVS is supported in the framework of the state assignment of the Ministry of Science and Higher Education of Russia (theme No. FMWE‐2021‐0014) and in the framework of the project ACE (grant 01LP2004A) funded by the Federal Ministry of Education and Research of Germany (BMBF). The authors are thankful to the respective agencies of the IMD, ECMWF ERA‐Interim data products for making these datasets available. Figures were generated using Ferret NOAA/PMEL. NOAA High‐Resolution OISST data provided by the NOAA/OAR/ESRL PSL, Boulder, Colorado, USA, were downloaded from https://www.ncdc.noaa.gov/oisst . CMCC Global Ocean Reanalysis System version 5 (C‐GLORSv5) Mixed Layer data provided by NCAR‐UCAR Boulder, Colorado, USA, were downloaded from ftp://cglorsguest@downloads.cmcc.bo.it/p_cglors . German Climate Computing Centre (DKRZ) is thankfully acknowledged for performing the coupled model simulations. The authors declared that the contents of the manuscript are novel and neither published nor under consideration anywhere else. The authors also declared that they have no known financial interest. Department of Science and Technology, Ministry of Science and Technology, India, Grant/Award Number: DST/INT/RUS/RSF/P‐33/G; Russian Science Foundation, Grant/Award Number: 19‐47‐02015; Ministry of Science and Higher Education of Russia, Grant/Award Number: FMWE‐2021‐0014; DST‐INSPIRE, Grant/Award Number: IF160165; ACE grant, Federal Ministry of Education and Research of Germany, Grant/Award Number: 01LP2004A Funding information We thank three anonymous reviewers for their constructive comments and suggestions, which have helped us improve the overall quality of the paper. This work is jointly supported by the Department of Science and Technology (DST), Govt. of India, grant number DST/INT/RUS/RSF/P-33/G, and the Russian Science Foundation (Project No.: 19-47-02015). Gaurav Tiwari acknowledges funding from the DST-INSPIRE fellowship (registration no. IF160165). Aditya Kumar Dubey acknowledges IISER Bhopal for a Ph.D. fellowship). William Cabos has been funded by the Alcala University project PIUAH21/CC-058. DVS is supported in the framework of the state assignment of the Ministry of Science and Higher Education of Russia (theme No. FMWE-2021-0014) and in the framework of the project ACE (grant 01LP2004A) funded by the Federal Ministry of Education and Research of Germany (BMBF). The authors are thankful to the respective agencies of the IMD, ECMWF ERA-Interim data products for making these datasets available. Figures were generated using Ferret NOAA/PMEL. NOAA High-Resolution OISST data provided by the NOAA/OAR/ESRL PSL, Boulder, Colorado, USA, were downloaded from https://www.ncdc.noaa.gov/oisst. CMCC Global Ocean Reanalysis System version 5 (C-GLORSv5) Mixed Layer data provided by NCAR-UCAR Boulder, Colorado, USA, were downloaded from ftp://cglorsguest@downloads.cmcc.bo.it/p_cglors. German Climate Computing Centre (DKRZ) is thankfully acknowledged for performing the coupled model simulations. The authors declared that the contents of the manuscript are novel and neither published nor under consideration anywhere else. The authors also declared that they have no known financial interest.
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