Abstract General Circulation Model (GCM) simulations with prescribed observed sea surface temperature (SST) over the historical period show systematic global shortwave cloud radiative effect (SWCRE) variations uncorrelated with global surface temperature (known as “pattern effect”). Here, we show that a single parameter that quantifies the difference in SSTs between regions of tropical deep convection and the tropical or global average (Δconv) captures the time‐varying “pattern effect” in the simulations using the PCMDI/AMIPII SST recommended for CMIP6. In particular, a large positive trend in the 1980s–1990s in Δconvexplains the change of sign to a strongly negative SWCRE feedback since the late 1970s. In these decades, the regions of deep convection warm about +50% more than the tropical average. Such an amplification is rarely observed in forced coupled atmosphere‐ocean GCM simulations, where the amplified warming is typically about +10%. During the post 2000 global warming hiatus Δconvshows little change, and the more recent period of resumed global warming is too short to robustly detect trends. In the prescribed SST simulations, Δconvis forced by the SST difference between warmer and colder regions. An index thereof (SST#) evaluated for six SST reconstructions shows similar trends for the satellite era, but the difference between the pre‐ and the satellite era is substantially larger in the PCMDI/AMIPII SSTs than in the other reconstructions. Quantification of the cloud feedback depends critically on small changes in the shape of the SST probability density distribution. These sensitivities underscore how essential highly accurate, persistent, and stable global climate records are to determine the cloud feedback.
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Record-breaking statistics detect islands of cooling in a sea of warming
Abstract. Record-breaking statistics are combined here with ageographic mode of exploration to introduce a record-breaking map. Weexamine time series of sea surface temperature (SST) values and show thathigh SST records have been broken far more frequently than the expected rate for a trend-free random variable (TFRV) over the vast majority of oceans (83 % of the grid cells). This, together with the asymmetry between highand low records and their deviation from a TFRV, indicates SST warming overmost oceans, obtained using a distribution-independent, robust, andsimple-to-use method. The spatial patterns of this warming are coherent andreveal islands of cooling, such as the “cold blob” in the North Atlantic and a surprising elliptical area in the Southern Ocean, near the Ross Sea gyre, not previously reported. The method was also applied to evaluate a global climate model (GCM), which reproduced the observed records during the study period. The distribution of records from the GCM pre-industrial (PI) controlrun samples was similar to the one from a TFRV, suggesting that thecontribution of a suitably constrained internal variability to the observedrecord-breaking trends is negligible. Future forecasts show striking SSTtrends, with even more frequent high records and less frequent low records.
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- Award ID(s):
- 1639868
- PAR ID:
- 10396887
- Date Published:
- Journal Name:
- Atmospheric Chemistry and Physics
- Volume:
- 22
- Issue:
- 24
- ISSN:
- 1680-7324
- Page Range / eLocation ID:
- 16111 to 16122
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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