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Crucial role of sea surface temperature warming patterns in near-term high-impact weather and climate projection



Details

  • Journal Title:
    npj Climate and Atmospheric Science
  • Personal Author:
  • NOAA Program & Office:
  • Description:
    Recent studies indicate that virtually all global climate models (GCMs) have had difficulty simulating sea surface temperature (SST) trend patterns over the past four decades. GCMs produce enhanced warming in the eastern Equatorial Pacific (EPAC) and Southern Ocean (SO) warming, while observations show intensified warming in the Indo-Pacific Warm Pool (IPWP) and slight cooling in the eastern EPAC and SO. Using Geophysical Fluid Dynamics Laboratory’s latest higher resolution atmospheric model and coupled prediction system, we show the model biases in SST trend pattern have profound implications for near-term projections of high-impact storm statistics, including the frequency of atmospheric rivers (AR), tropical storms (TS) and mesoscale convection systems (MCS), as well as for hydrological and climate sensitivity. If the future SST warming pattern continues to resemble the observed pattern from the past few decades rather than the GCM simulated/predicted patterns, our results suggest (1) a drastically different future projection of high-impact storms and their associated hydroclimate changes, especially over the Western Hemisphere, (2) a stronger global hydrological sensitivity, and (3) substantially less global warming due to stronger negative feedback and lower climate sensitivity. The roles of SST trend patterns over the EPAC, IPWP, SO, and the North Atlantic tropical cyclone Main Development Region (AMDR) are isolated, quantified, and used to understand the simulated differences. Specifically, SST trend patterns in the EPAC and AMDR are crucial for modeled differences in AR and MCS frequency, while those in the IPWP and AMDR are essential for differences in TS frequency over the North Atlantic.
  • Source:
    npj Climate and Atmospheric Science, 7(1)
  • DOI:
  • ISSN:
    2397-3722
  • Format:
    pdf
  • Publisher:
    Springer Science and Business Media LLC
  • Document Type:
    Journal Article
  • License:
  • Rights Information:
    CC BY
  • Compliance:
    Library
  • Main Document Checksum:
    urn:sha-512:6616236e9313af4839d9b2fe7f1926077aefb89fd13e553d10aa503abe88f397bb45d39b4fac8c57501ed50b139bed97e85d122fe1681d89240e1f16779d52d2
  • Download URL:
  • File Type:
    Filetype[PDF - 4.05 MB ]
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