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  The IITM earth system model

Swapna, P., Roxy, M. K., Aparna, K., Kulkarni, K., Prajeesh, A. G., Ashok, K., et al. (2015). The IITM earth system model. Bulletin of the American Meteorological Society, 96, 1351-1367. doi:10.1175/BAMS-D-13-00276.1.

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 Creators:
Swapna, P.1, Author
Roxy, M. K.1, Author
Aparna, K.1, Author
Kulkarni, K.1, 2, Author
Prajeesh, A. G.1, Author
Ashok, K.1, Author
Krishnan, R.1, Author
Moorthi, S.1, Author
Kumar, A.1, Author
Goswami, B. N.1, Author
Affiliations:
1external, ou_persistent22              
2Director’s Research Group OES, The Ocean in the Earth System, MPI for Meteorology, Max Planck Society, Bundesstraße 53, 20146 Hamburg, DE, ou_913553              

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Free keywords: CLIMATE FORECAST SYSTEM; SUMMER MONSOON RAINFALL; OCEAN GENERAL-CIRCULATION; SEA-SURFACE TEMPERATURES; INDIAN-OCEAN; SOUTHERN-OSCILLATION; PART I; SIMULATION CHARACTERISTICS; EQUATORIAL PACIFIC; NUMERICAL-MODELMeteorology & Atmospheric Sciences;
 Abstract: With the goal of building an Earth system model appropriate for detection, attribution, and projection of changes in the South Asian monsoon, a state-of-the-art seasonal prediction model, namely the Climate Forecast System version 2 (CFSv2) has been adapted to a climate model suitable for extended climate simulations at the Indian Institute of Tropical Meteorology (IITM), Pune, India. While the CFSv2 model has been skillful in predicting the Indian summer monsoon (ISM) on seasonal time scales, a century-long simulation with it shows biases in the ocean mixed layer, resulting in a 1.5 degrees C cold bias in the global mean surface air temperature, a cold bias in the sea surface temperature (SST), and a cooler-than-observed troposphere. These biases limit the utility of CFSv2 to study climate change issues. To address biases, and to develop an Indian Earth System Model (IITM ESMv1), the ocean component in CFSv2 was replaced at IITM with an improved version, having better physics and interactive ocean biogeochemistry. A 100-yr simulation with the new coupled model (with biogeochemistry switched off) shows substantial improvements, particularly in global mean surface temperature, tropical SST, and mixed layer depth. The model demonstrates fidelity in capturing the dominant modes of climate variability such as the ENSO and Pacific decadal oscillation. The ENSO-ISM teleconnections and the seasonal leads and lags are also well simulated. The model, a successful result of Indo-U.S. collaboration, will contribute to the IPCC's Sixth Assessment Report (AR6) simulations, a first for India.

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Language(s): eng - English
 Dates: 201420152015-08
 Publication Status: Issued
 Pages: 17
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: ISI: 000361366300001
DOI: 10.1175/BAMS-D-13-00276.1
 Degree: -

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Title: Bulletin of the American Meteorological Society
Source Genre: Journal
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Publ. Info: American Meteorological Society
Pages: - Volume / Issue: 96 Sequence Number: - Start / End Page: 1351 - 1367 Identifier: ISSN: 0003-0007
CoNE: https://pure.mpg.de/cone/journals/resource/954925377920