4.7 Article

ENSO diversity shows robust decadal variations that must be captured for accurate future projections

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SPRINGERNATURE
DOI: 10.1038/s43247-021-00285-6

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  1. I-SITE Bourgogne Franche-Comte Junior Fellowship IMVULA [AAP2-JF-06]
  2. Alliance Programme 2020 [608081922]
  3. British Council
  4. Campus-France
  5. NOAA Climate Program Office Climate Variability and Predictability (CVP) program
  6. NOAA Climate Program Office Modelling, Analysis, Predictions and Projections (MAPP) program

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The intensities and locations of El Nino-Southern Oscillation events exhibit pronounced decadal variations, which are crucial for better projections of future ENSO diversity. Some climate models are able to simulate these decadal variabilities accurately, but the projections of ENSO diversity under future climate change scenarios still face challenges.
El Nino-Southern Oscillation event intensities and locations show pronounced decadal variations, which need to be represented in models for better projections of future ENSO diversity, suggest analyses of observations and climate model simulations. El Nino-Southern Oscillation (ENSO) shows a large diversity of events that is modulated by climate variability and change. The representation of this diversity in climate models limits our ability to predict their impact on ecosystems and human livelihood. Here, we use multiple observational datasets to provide a probabilistic description of historical variations in event location and intensity, and to benchmark models, before examining future system trajectories. We find robust decadal variations in event intensities and locations in century-long observational datasets, which are associated with perturbations in equatorial wind-stress and thermocline depth, as well as extra-tropical anomalies in the North and South Pacific. Some climate models are capable of simulating such decadal variability in ENSO diversity, and the associated large-scale patterns. Projections of ENSO diversity in future climate change scenarios strongly depend on the magnitude of decadal variations, and the ability of climate models to reproduce them realistically over the 21(st) century.

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