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Ocean Surface Flux Algorithm Effects on Tropical Indo-Pacific Intraseasonal Precipitation. | LitMetric

AI Article Synopsis

  • Surface latent heat fluxes play a crucial role in supporting tropical intraseasonal precipitation, particularly during events like the Madden-Julian Oscillation (MJO).
  • A new diagnostic method is developed to analyze how these latencies fluctuate based on factors like near-surface humidity gradients and wind speeds.
  • Comparisons show that certain climate models overestimate these fluxes, and corrections based on observational data improve the accuracy of simulations, indicating that existing models may exaggerate their contribution to MJO-related convection.

Article Abstract

Surface latent heat fluxes help maintain tropical intraseasonal precipitation. We develop a latent heat flux diagnostic that depicts how latent heat fluxes vary with the near-surface specific humidity vertical gradient (Δ) and surface wind speed (|V|). Compared to fluxes estimated from |V| and Δ measured at tropical moorings and the Coupled Ocean Atmosphere Response Experiment 3.0 (COARE3.0) algorithm, tropical latent heat fluxes in the National Center for Atmospheric Research CEMS2 and Department of Energy E3SMv1 models are significantly overestimated at |V| and Δ extrema. Madden-Julian oscillation (MJO) sensitivity to surface flux algorithm is tested with offline and inline flux corrections. The offline correction adjusts model output fluxes toward mooring-estimated fluxes; the inline correction replaces the original bulk flux algorithm with the COARE3.0 algorithm in atmosphere-only simulations of each model. Both corrections indicate reduced latent heat flux feedback to intraseasonal precipitation, in better agreement with observations, suggesting that model-simulated fluxes are overly supportive for maintaining MJO convection.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9286826PMC
http://dx.doi.org/10.1029/2021GL096968DOI Listing

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