Editorial Type:
Article
Article Type:
Research Article

Atlantic Warm Pool Variability in the CMIP5 Simulations

Hailong Liu Cooperative Institute for Marine and Atmospheric Studies, University of Miami, and Atlantic Oceanographic and Meteorological Laboratory, NOAA, Miami, Florida

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Chunzai Wang Atlantic Oceanographic and Meteorological Laboratory, NOAA, Miami, Florida

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Sang-Ki Lee Cooperative Institute for Marine and Atmospheric Studies, University of Miami, and Atlantic Oceanographic and Meteorological Laboratory, NOAA, Miami, Florida

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David Enfield Cooperative Institute for Marine and Atmospheric Studies, University of Miami, and Atlantic Oceanographic and Meteorological Laboratory, NOAA, Miami, Florida

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Print Publication:
01 Aug 2013
Collections:
CMIP5
DOI:
https://doi.org/10.1175/JCLI-D-12-00556.1
Page(s):
5315–5336
Restricted access

Abstract

This study investigates Atlantic warm pool (AWP) variability in the historical run of 19 coupled general circulation models (CGCMs) submitted to phase 5 of the Coupled Model Intercomparison Project (CMIP5). As with the CGCMs in phase 3 (CMIP3), most models suffer from the cold SST bias in the AWP region and also show very weak AWP variability as represented by the AWP area index. However, for the seasonal cycle the AWP SST bias of model ensemble and model sensitivities are decreased compared with CMIP3, indicating that the CGCMs are improved. The origin of the cold SST bias in the AWP region remains unknown, but among the CGCMs in CMIP5 excess (insufficient) high-level cloud simulation decreases (enhances) the cold SST bias in the AWP region through the warming effect of the high-level cloud radiative forcing. Thus, the AWP SST bias in CMIP5 is more modulated by an erroneous radiation balance due to misrepresentation of high-level clouds rather than low-level clouds as in CMIP3. AWP variability is assessed as in the authors' previous study in the aspects of spectral analysis, interannual variability, multidecadal variability, and comparison of the remote connections with ENSO and the North Atlantic Oscillation (NAO) against observations. In observations the maximum influences of the NAO and ENSO on the AWP take place in boreal spring. For some CGCMs these influences erroneously last to late summer. The effect of this overestimated remote forcing can be seen in the variability statistics as shown in the rotated EOF patterns from the models. It is concluded that the NCAR Community Climate System Model, version 4 (CCSM4), the Goddard Institute for Space Studies (GISS) Model E, version 2, coupled with the Hybrid Coordinate Ocean Model (HYCOM) ocean model (GISS-E2H), and the GISS Model E, version 2, coupled with the Russell ocean model (GISS-E2R) are the best three models of CMIP5 in simulating AWP variability.

Corresponding author address: Hailong Liu, RSMAS/CIMAS, 4600 Rickenbacker Causeway, Miami, FL 33149. E-mail: hailong.liu@noaa.gov

This article is included in the North American Climate in CMIP5 Experiments special collection.

Abstract

This study investigates Atlantic warm pool (AWP) variability in the historical run of 19 coupled general circulation models (CGCMs) submitted to phase 5 of the Coupled Model Intercomparison Project (CMIP5). As with the CGCMs in phase 3 (CMIP3), most models suffer from the cold SST bias in the AWP region and also show very weak AWP variability as represented by the AWP area index. However, for the seasonal cycle the AWP SST bias of model ensemble and model sensitivities are decreased compared with CMIP3, indicating that the CGCMs are improved. The origin of the cold SST bias in the AWP region remains unknown, but among the CGCMs in CMIP5 excess (insufficient) high-level cloud simulation decreases (enhances) the cold SST bias in the AWP region through the warming effect of the high-level cloud radiative forcing. Thus, the AWP SST bias in CMIP5 is more modulated by an erroneous radiation balance due to misrepresentation of high-level clouds rather than low-level clouds as in CMIP3. AWP variability is assessed as in the authors' previous study in the aspects of spectral analysis, interannual variability, multidecadal variability, and comparison of the remote connections with ENSO and the North Atlantic Oscillation (NAO) against observations. In observations the maximum influences of the NAO and ENSO on the AWP take place in boreal spring. For some CGCMs these influences erroneously last to late summer. The effect of this overestimated remote forcing can be seen in the variability statistics as shown in the rotated EOF patterns from the models. It is concluded that the NCAR Community Climate System Model, version 4 (CCSM4), the Goddard Institute for Space Studies (GISS) Model E, version 2, coupled with the Hybrid Coordinate Ocean Model (HYCOM) ocean model (GISS-E2H), and the GISS Model E, version 2, coupled with the Russell ocean model (GISS-E2R) are the best three models of CMIP5 in simulating AWP variability.

Corresponding author address: Hailong Liu, RSMAS/CIMAS, 4600 Rickenbacker Causeway, Miami, FL 33149. E-mail: hailong.liu@noaa.gov

This article is included in the North American Climate in CMIP5 Experiments special collection.

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  • Bates, S. C., 2008: Coupled ocean–atmosphere interaction and variability in the tropical Atlantic Ocean with and without an annual cycle. J. Climate, 21, 5501–5523.

    • Search Google Scholar
    • Export Citation

  • Bell, G. D., and M. Chelliah, 2006: Leading tropical modes associated with interannual and multidecadal fluctuations in North Atlantic hurricane activity. J. Climate, 19, 590–612.

    • Search Google Scholar
    • Export Citation

  • Bentamy, A., L. H Ayina, W. Drennan, K. Katsaros, A. M. Mestas-Nunez, and R. T. Pinker, 2008: 15 years of ocean surface momentum and heat fluxes from remotely sensed observations. FLUX NEWS, No. 5, WCRP Working Group on Surface Fluxes, 14–16. [Available online at sail.msk.ru/newsletter/fluxnews_5_final.pdf.]

  • Carton, J. A., and B. H. Huang, 1994: Warm events in the tropical Atlantic. J. Phys. Oceanogr., 24, 888–903.

  • Chang, C.-Y., J. A. Carton, S. A. Grodsky, and S. Nigam, 2007: Seasonal climate of the tropical Atlantic sector in the NCAR Community Climate System Model 3: Error structure and probable causes of errors. J. Climate, 20, 1053–1070.

    • Search Google Scholar
    • Export Citation

  • Chang, C.-Y., S. Nigam, and J. A. Carton, 2008: Origin of the spring-time westerly bias in equatorial Atlantic surface winds in the Community Atmosphere Model version 3 (CAM3) simulation. J. Climate, 21, 4766–4778.

    • Search Google Scholar
    • Export Citation

  • Chang, P., L. Ji, and H. Li, 1997: A decadal climate variation in the tropical Atlantic Ocean from thermodynamic air–sea interactions. Nature, 385, 516–518.

    • Search Google Scholar
    • Export Citation

  • Compo, G. P., and Coauthors, 2011: The Twentieth Century Reanalysis Project. Quart. J. Roy. Meteor. Soc., 137, 1–28, doi:10.1002/qj.776.

    • Search Google Scholar
    • Export Citation

  • Czaja, A., and J. Marshall, 2001: Observations of atmosphere–ocean coupling in the North Atlantic. Quart. J. Roy. Meteor. Soc., 127, 1893–1916.

    • Search Google Scholar
    • Export Citation

  • Czaja, A., P. van der Vaart, and J. Marshall, 2002: A diagnostic study of the role of remote forcing in tropical Atlantic variability. J. Climate, 15, 3280–3290.

    • Search Google Scholar
    • Export Citation

  • Delworth, T. L., and M. E. Mann, 2000: Observed and simulated multidecadal variability in the Northern Hemisphere. Climate Dyn., 16, 661–676.

    • Search Google Scholar
    • Export Citation

  • de Szoeke, S. P., and S.-P. Xie, 2008: The tropical eastern Pacific seasonal cycle: Assessment of errors and mechanisms in IPCC AR4 coupled ocean–atmosphere general circulation models. J. Climate, 21, 2573–2590.

    • Search Google Scholar
    • Export Citation

  • Doi, T., T. Tozuka, and T. Yamagata, 2010: The Atlantic meridional mode and its coupled variability with the Guinea Dome. J. Climate, 23, 455–475.

    • Search Google Scholar
    • Export Citation

  • Donner, L. J., and Coauthors, 2011: The dynamical core, physical parameterizations, and basic simulation characteristics of the atmospheric component AM3 of the GFDL global coupled model CM3. J. Climate, 24, 3484–3519.

    • Search Google Scholar
    • Export Citation

  • Enfield, D. B., and S.-K. Lee, 2005: The heat balance of the Western Hemisphere warm pool. J. Climate, 18, 2662–2681.

  • Enfield, D. B., and L. Cid-Serrano, 2010: Secular and multidecadal warmings in the North Atlantic and their relationships with major hurricane activity. Int. J. Climatol., 30, 174–184, doi:10.1002/joc.1881.

    • Search Google Scholar
    • Export Citation

  • Enfield, D. B., A. M. Mestas-Nuñez, D. A. Mayer, and L. Cid-Serrano, 1999: How ubiquitous is the dipole relationship in tropical Atlantic sea surface temperatures? J. Geophys. Res., 104 (C4), 7841–7848, doi:10.1029/1998JC900109.

    • Search Google Scholar
    • Export Citation

  • Enfield, D. B., A. M. Mestas-Nuñez, and P. J. Trimble, 2001: The Atlantic multidecadal oscillation and its relation to rainfall and river flows in the continental U.S. Geophys. Res. Lett., 28, 2077–2080.

    • Search Google Scholar
    • Export Citation

  • Enfield, D. B., S.-K. Lee, and C. Wang, 2006: How are large Western Hemisphere warm pools formed? Prog. Oceanogr., 70, 346–365.

  • Fasullo, T. T., and K. E. Trenberth, 2012: A less cloudy future: The role of subtropical subsidence in climate sensitivity. Science, 338, 792–794.

    • Search Google Scholar
    • Export Citation

  • Goldenberg, S. B., C. W. Landsea, A. M. Mesta-Nunez, and W. M. Gray, 2001: The recent increase in Atlantic hurricane activity: Causes and implications. Science, 293, 474–479.

    • Search Google Scholar
    • Export Citation

  • Grodsky, S. A., J. A. Carton, S. Nigam, and Y. M. Okumura, 2012: Tropical Atlantic biases in CCSM4. J. Climate, 25, 3684–3701.

  • Hu, Z.-Z., B. Huang, and K. Pegion, 2008: Leading patterns of the tropical Atlantic variability in a coupled general circulation model. Climate Dyn., 30, 703–726.

    • Search Google Scholar
    • Export Citation

  • Huang, B., and J. Shukla, 2005: Ocean–atmosphere interactions in the tropical and subtropical Atlantic Ocean. J. Climate, 18, 1652–1672.

    • Search Google Scholar
    • Export Citation

  • Huang, B., P. S. Schopf, and J. Shukla, 2004: Intrinsic ocean–atmosphere variability of the tropical Atlantic Ocean. J. Climate, 17, 2058–2077.

    • Search Google Scholar
    • Export Citation

  • Hurrell, J. W., 1995: Decadal trends in the North Atlantic Oscillation: Regional temperatures and precipitation. Science, 269, 676–679.

    • Search Google Scholar
    • Export Citation

  • Jiang, J. H., and Coauthors, 2012: Evaluation of cloud and water vapor simulations in CMIP5 climate models using NASA “A-Train” satellite observations. J. Geophys. Res., 117, D14105, doi:10.1029/2011JD017237.

    • Search Google Scholar
    • Export Citation

  • Joseph, R., and S. Nigam, 2006: ENSO evolution and teleconnections in IPCC's twentieth-century climate simulations: Realistic representation? J. Climate, 19, 4360–4377.

    • Search Google Scholar
    • Export Citation

  • Large, W. G., G. Danabasoglu, 2006: Attribution and impacts of upper-ocean biases in CCSM3. J. Climate, 19, 2325–2346.

  • Latif, M., and A. Grötzner, 2000: The equatorial Atlantic oscillation and its response to ENSO. Climate Dyn., 16, 213–218.

  • Lee, S.-K., D. B. Enfield, and C. Wang, 2007: What drives the seasonal onset and decay of the Western Hemisphere warm pool? J. Climate, 20, 2133–2146.

    • Search Google Scholar
    • Export Citation

  • Li, G., and S.-P. Xie, 2012: Origins of tropical-wide SST biases in CMIP multi-model ensembles. Geophys. Res. Lett., 39, L22703, doi:10.1029/2012GL053777.

    • Search Google Scholar
    • Export Citation

  • Liu, H., C. Wang, S. Lee, and D. Enfield, 2012: Atlantic warm-pool variability in the IPCC AR4 CGCM simulations. J. Climate, 25, 5612–5628.

    • Search Google Scholar
    • Export Citation

  • Meehl, G. A., C. Covey, K. E. Taylor, T. Delworth, R. J. Stouffer, M. Latif, B. McAvaney, and J. F. B. Mitchell, 2007: The WCRP CMIP3 multimodel dataset: A new era in climate change research. Bull. Amer. Meteor. Soc., 88, 1383–1394.

    • Search Google Scholar
    • Export Citation

  • Misra, V., S. Chan, R. Wu, and E. Chassignet, 2009: Air–sea interaction over the Atlantic warm pool in the NCEP CFS. Geophys. Res. Lett., 36, L15702, doi:10.1029/2009GL038737.

    • Search Google Scholar
    • Export Citation

  • Muñoz, E., W. Weijer, S. A. Grodsky, S. C. Bates, and I. Wainer, 2012: Mean and variability of the tropical Atlantic Ocean in the CCSM4. J. Climate, 25, 4860–4882.

    • Search Google Scholar
    • Export Citation

  • Okumura, Y., and S.-P. Xie, 2006: Some overlooked features of tropical Atlantic climate leading to a new Niño-like phenomenon. J. Climate, 19, 5859–5874.

    • Search Google Scholar
    • Export Citation

  • Philander, S. G. H., 1986: Predictability of El Niño. Nature, 321, 810–811.

  • Richter, I., and S.-P. Xie, 2008: On the origin of equatorial Atlantic biases in coupled general circulation models. Climate Dyn., 31, 587–598.

    • Search Google Scholar
    • Export Citation

  • Richter, I., S.-P. Xie, A. T. Wittenberg, and Y. Masumoto, 2012: Tropical Atlantic biases and their relation to surface wind stress and terrestrial precipitation. Climate Dyn., 38, 985–1001, doi:10.1007/s00382-011-1038-9.

    • Search Google Scholar
    • Export Citation

  • Saji, N. H., S.-P. Xie, and T. Yamagata, 2006: Tropical Indian Ocean variability in the IPCC 20th-century climate simulations. J. Climate, 19, 4397–4417.

    • Search Google Scholar
    • Export Citation

  • Servain, J., 1991: Simple climatic indices for the tropical Atlantic Ocean and some applications. J. Geophys. Res., 96 (C8), 15 137–15 146.

    • Search Google Scholar
    • Export Citation

  • Smith, T. M., R. W. Reynolds, T. C. Peterson, and J. Lawrimore, 2008: Improvements to NOAA's historical merged land–ocean surface temperature analysis (1880–2006). J. Climate, 21, 2283–2296.

    • Search Google Scholar
    • Export Citation

  • Su, H., and Coauthors, 2008: Variations of tropical upper tropospheric clouds with sea surface temperature and implications for radiative effects. J. Geophys. Res., 113, D10211, doi:10.1029/2007JD009624.

    • Search Google Scholar
    • Export Citation

  • Taylor, K. E., 2001: Summarizing multiple aspects of model performance in a single diagram. J. Geophys. Res., 106 (D7), 7183–7192, doi:10.1029/2000JD900719.

    • Search Google Scholar
    • Export Citation

  • Torrence, C., and G. P. Compo, 1998: A practical guide to wavelet analysis. Bull. Amer. Meteor. Soc., 79, 61–78.

  • Tozuka, T., T. Doi, T. Miyasaka, N. Keenlyside, and T. Yamagata, 2011: Key factors in simulating the equatorial Atlantic zonal sea surface temperature gradient in a coupled general circulation model. J. Geophys. Res., 116, C06010, doi:10.1029/2010JC006717.

    • Search Google Scholar
    • Export Citation

  • Wang, C., and D. B. Enfield, 2001: The tropical Western Hemisphere warm pool. Geophys. Res. Lett., 28, 1635–1638.

  • Wang, C., and D. B. Enfield, 2003: A further study of the tropical Western Hemisphere warm pool. J. Climate, 16, 1476–1493.

  • Wang, C., D. B. Enfield, S.-K. Lee, and C. W. Landsea, 2006: Influences of the Atlantic warm pool on Western Hemisphere summer rainfall and Atlantic hurricanes. J. Climate, 19, 3011–3028.

    • Search Google Scholar
    • Export Citation

  • Wang, C., S.-K. Lee, and D. B. Enfield, 2008a: Atlantic warm pool acting as a link between Atlantic multidecadal oscillation and Atlantic tropical cyclone activity. Geochem. Geophys. Geosyst., 9, Q05V03, doi:10.1029/2007GC001809.

    • Search Google Scholar
    • Export Citation

  • Wang, C., S.-K. Lee, and D. B. Enfield, 2008b: Climate response to anomalously large and small Atlantic warm pools during the summer. J. Climate, 21, 2437–2450.

    • Search Google Scholar
    • Export Citation

  • Wang, C., H. Liu, S.-K. Lee, and R. Atlas, 2011: Impact of the Atlantic warm pool on United States landfalling hurricanes. Geophys. Res. Lett., 38, L19702, doi:10.1029/2011GL049265.

    • Search Google Scholar
    • Export Citation

  • Wang, X., D. Wang, and W. Zhou, 2009: Decadal variability of twentieth century El Niño and La Niña occurrence from observations and IPCC AR4 coupled models. Geophys. Res. Lett., 36, L11701, doi:10.1029/2009GL037929.

    • Search Google Scholar
    • Export Citation

  • Wu, R., B. P. Kirtman, and K. Pegion, 2006: Local air–sea relationship in observations and model simulations. J. Climate, 19, 4914–4932.

    • Search Google Scholar
    • Export Citation

  • Xie, S.-P., and J. A. Carton, 2004: Tropical Atlantic variability: Patterns, mechanisms, and impacts. Earth's Climate: The Ocean–Atmosphere Interaction, Geophys. Monogr., Vol. 147, Amer. Geophys. Union, 121–142.

  • Xie, S.-P., Y. Tanimoto, H. Noguchi, and T. Matsuno, 1999: How and why climate variability differs between the tropical Atlantic and Pacific. Geophys. Res. Lett., 26, 1609–1612, doi:10.1029/1999GL900308.

    • Search Google Scholar
    • Export Citation

  • Zebiak, S. E., 1993: Air–sea interaction in the equatorial Atlantic region. J. Climate, 6, 1567–1586.

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