Abstract

The development of systematic biases in climate models used in operational seasonal forecasting adversely affects the quality of forecasts they produce. In this study, we examine the initial evolution of systematic biases in the ECMWF System 4 forecast model, and isolate aspects of the model simulations that lead to the development of these biases. We focus on the tendency of the simulated intertropical convergence zone in the western equatorial Pacific to drift northwards by between 0.5° and 3° of latitude depending on season. Comparing observations with both fully coupled atmosphere–ocean hindcasts and atmosphere-only hindcasts (driven by observed sea-surface temperatures), we show that the northward drift is caused by a cooling of the sea-surface temperature on the Equator. The cooling is associated with anomalous easterly wind stress and excessive evaporation during the first twenty days of hindcast, both of which occur whether air-sea interactions are permitted or not. The easterly wind bias develops immediately after initialisation throughout the lower troposphere; a westerly bias develops in the upper troposphere after about 10 days of hindcast. At this point, the baroclinic structure of the wind bias suggests coupling with errors in convective heating, although the initial wind bias is barotropic in structure and appears to have an alternative origin.

Highlights

  • European Centre for Medium-Range Weather Forecasts, Reading, UK bias is barotropic in structure and appears to have an alternative origin

  • We focus on biases in the western tropical Pacific, where a tendency is found for the model intertropical convergence zone (ITCZ) to drift to the north

  • A zonal wind stress bias develops over the western equatorial Pacific, which leads to cooling of the equatorial sea-surface temperature (SST) and the subsequent northward drift of the ITCZ

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Summary

Introduction

European Centre for Medium-Range Weather Forecasts, Reading, UK bias is barotropic in structure and appears to have an alternative origin. We find that the latent heat flux bias appears to correlate well with the easterly wind stress biases and the SST drift.

Results
Conclusion
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