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COMPARISON BETWEEN SEVERAL PARAMETERIZATION SCHEMES IN WRF FOR SOLAR FORECASTING IN COASTAL ZONES

机译:沿海地区太阳能预测的WRF中几种参数化方案的比较

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The numerical weather prediction (NWP) models have widely demonstrated their usefulness in solar energy forecasting. Nevertheless, the high resolution and accuracy needed today for the operational management of solar resources necessitates a constant development of such models and a continuous effort in the accurately representation of the physical processes involved. In coastal California, the principal source of NWP model inaccuracy is the presence of marine stratocumulus clouds. These clouds have a strong influence on the radiative balance and solar irradiance at the surface. In this work, the effect that several combinations of parameterization schemes have on simulating marine stratocumulus clouds is examined. Specifically, the cloud microphysics, cumulus, radiation and planetary boundary layer parameterization schemes implemented in the Weather Research and Forecasting Model (WRF) are analyzed. Additionally, the influence of the initial and boundary conditions in the model have been tested.
机译:数值天气预报(NWP)模型在太阳能预测中广泛展示了它们的实用性。尽管如此,目前为太阳能资源的运营管理所需的高分辨率和准确性需要在准确表示所涉及的物理过程的准确表现中不断发展此类模型和不断的努力。在沿海加利福尼亚州,NWP模型不准确的主要来源是存在海洋划分云的存在。这些云对表面的辐射平衡和太阳辐照度有很大影响。在这项工作中,研究了参数化方案的几种组合对模拟船只划分云进行了影响的效果。具体地,分析了在天气研究和预测模型(WRF)中实现的云微微物理,积云,辐射和行星边界层参数化方案。另外,已经测试了模型中的初始和边界条件的影响。

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