Cloud Parametrization
Cloud Parametrization
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云参数化
DOI:
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发表时间:
2009
期刊:
影响因子:
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通讯作者:
A. Tompkins
中科院分区:
文献类型:
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作者:
A. Tompkins
Let us introduce the seminar series on subgrid-scale parame trization by examining the progress in the ECMWF forecast system at representing the top-of-atmosphere (TO A) longwave radiation budget. Figure 1 compares an ensemble of year-long integrations using the ECMWF integ ra d forecasting system forced by observed sea surface temperatures. The left set of panels shows an integr ation using model cycle 23r4, which was operational in 2000, and was used conduct the ERA-40 reanalysis. The righ t set of panels shows an integration with cycle CY33R1, operational in 2008 1. Over the eight intermediate years the errors have been grea tly duced, with the global mean RMS error reduced by almost one half. While so me f this error reduction undoubtedly derives from improvements in the large-scale model dynamic s and advection, much of it is a result of better subgrid-scale schemes to represent the processes of convec ti , clouds and cloud-radiation interaction. If the convection scheme produces too little activity over the Tro pical American and African continents, as it did in earlier model versions, then it is extremely difficult to adj ust cloud scheme tuning parameters to eradicate the IR error. Likewise, if the cloud scheme microphysics allow t oo much ice to sediment out of tropical cirrus clouds, adjusting the radiative properties of the ice cryst als will likely lead to increased errors elsewhere, such as low ice clouds over the poles. Perfect cloud properties of cloud cover and condensate amount will still result in radiative errors if the assumed radiative propert ies or vertical overlap of those clouds are poor. It is clear that small errors in the TOA IR budgets and other cloud r elated fields can only result from a harmonious improvement of all subgrid-scale processes, and the 2008 EC MWF seminar series aims to introduce some of the advances that have occurred recently.