4.7 Article

Evaluation of Forecasted Southeast Pacific Stratocumulus in the NCAR, GFDL, and ECMWF Models

期刊

JOURNAL OF CLIMATE
卷 22, 期 11, 页码 2871-2889

出版社

AMER METEOROLOGICAL SOC
DOI: 10.1175/2008JCLI2479.1

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资金

  1. NSF ATM [0336688, 0336703, 0433712]
  2. U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research
  3. U.S. Department of Energy [DE-AC52-07NA27344]
  4. Office of Science (BER), U.S. Department of Energy [DE-FC02-97ER62402]
  5. Div Atmospheric & Geospace Sciences
  6. Directorate For Geosciences [0336688] Funding Source: National Science Foundation
  7. Div Atmospheric & Geospace Sciences
  8. Directorate For Geosciences [0336703, 0433712] Funding Source: National Science Foundation

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Forecasts of southeast Pacific stratocumulus at 20 degrees S and 85 degrees W during the East Pacific Investigation of Climate (EPIC) cruise of October 2001 are examined with the ECMWF model, the Atmospheric Model (AM) from GFDL, the Community Atmosphere Model (CAM) from NCAR, and the CAM with a revised atmospheric boundary layer formulation from the University of Washington (CAM-UW). The forecasts are initialized from ECMWF analyses and each model is run for 3-5 days to determine the differences with the EPIC field observations. Observations during the EPIC cruise show a well-mixed boundary layer under a sharp inversion. The inversion height and the cloud layer have a strong and regular diurnal cycle. A key problem common to the models is that the planetary boundary layer (PBL) depth is too shallow when compared to EPIC observations. However, it is suggested that improved PBL depths are achieved with more physically realistic PBL schemes: at one end, CAM uses a dry and surface-driven PBL scheme and produces a very shallow PBL, while the ECWMF model uses an eddy-diffusivity/mass-flux approach and produces a deeper and better-mixed PBL. All the models produce a strong diurnal cycle in the liquid water path (LWP), but there are large differences in the amplitude and phase when compared to the EPIC observations. This, in turn, affects the radiative fluxes at the surface and the surface energy budget. This is particularly relevant for coupled simulations as this can lead to a large SST bias.

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