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A global perspective on CMIP5 climate model biases

Author

Listed:
  • Chunzai Wang

    (NOAA Atlantic Oceanographic and Meteorological Laboratory)

  • Liping Zhang

    (NOAA Atlantic Oceanographic and Meteorological Laboratory
    Cooperative Institute for Marine and Atmospheric Studies, University of Miami)

  • Sang-Ki Lee

    (NOAA Atlantic Oceanographic and Meteorological Laboratory
    Cooperative Institute for Marine and Atmospheric Studies, University of Miami)

  • Lixin Wu

    (Physical Oceanography Laboratory/Qingdao Collaborative Innovation Center for Marine Science and Technology, Ocean University of China)

  • Carlos R. Mechoso

    (University of California, Los Angeles)

Abstract

The use of models for the prediction of future climate conditions is commonplace. This study investigates regional sea surface temperature biases across 22 climate models and finds that they are linked to the large circulation system in the Atlantic Ocean. Improvements to climate models will need to consider the impact of remote biases on regional processes.

Suggested Citation

  • Chunzai Wang & Liping Zhang & Sang-Ki Lee & Lixin Wu & Carlos R. Mechoso, 2014. "A global perspective on CMIP5 climate model biases," Nature Climate Change, Nature, vol. 4(3), pages 201-205, March.
    • Handle: RePEc:nat:natcli:v:4:y:2014:i:3:d:10.1038_nclimate2118
    DOI: 10.1038/nclimate2118
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    Cited by:

    1. Qiang Li & Maofang Gao & Zhao-Liang Li, 2022. "Soil Organic Carbon Storage in Australian Wheat Cropping Systems in Response to Climate Change from 1990 to 2060," Land, MDPI, vol. 11(10), pages 1-15, September.
    2. Jun-Young Park & Fabian Schloesser & Axel Timmermann & Dipayan Choudhury & June-Yi Lee & Arjun Babu Nellikkattil, 2023. "Future sea-level projections with a coupled atmosphere-ocean-ice-sheet model," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    3. Ziming Chen & Tianjun Zhou & Xiaolong Chen & Wenxia Zhang & Lixia Zhang & Mingna Wu & Liwei Zou, 2022. "Observationally constrained projection of Afro-Asian monsoon precipitation," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    4. Anil Deo & Savin S. Chand & R. Duncan McIntosh & Bipen Prakash & Neil J. Holbrook & Andrew Magee & Alick Haruhiru & Philip Malsale, 2022. "Severe tropical cyclones over southwest Pacific Islands: economic impacts and implications for disaster risk management," Climatic Change, Springer, vol. 172(3), pages 1-23, June.
    5. Julio T. Bacmeister & Kevin A. Reed & Cecile Hannay & Peter Lawrence & Susan Bates & John E. Truesdale & Nan Rosenbloom & Michael Levy, 2018. "Projected changes in tropical cyclone activity under future warming scenarios using a high-resolution climate model," Climatic Change, Springer, vol. 146(3), pages 547-560, February.
    6. Ralph Trancoso & Jozef Syktus & Richard P. Allan & Jacky Croke & Ove Hoegh-Guldberg & Robin Chadwick, 2024. "Significantly wetter or drier future conditions for one to two thirds of the world’s population," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    7. Dudley, Peter N. & Bonazza, Riccardo & Porter, Warren P., 2016. "Climate change impacts on nesting and internesting leatherback sea turtles using 3D animated computational fluid dynamics and finite volume heat transfer," Ecological Modelling, Elsevier, vol. 320(C), pages 231-240.
    8. Andrew J Allyn & Michael A Alexander & Bradley S Franklin & Felix Massiot-Granier & Andrew J Pershing & James D Scott & Katherine E Mills, 2020. "Comparing and synthesizing quantitative distribution models and qualitative vulnerability assessments to project marine species distributions under climate change," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-28, April.

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