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The full-spectrum correlated-k method for longwave atmospheric radiative transfer using an effective Planck function

机译:使用有效的普朗克函数的全谱相关k方法进行长波大气辐射传输

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摘要

The correlated k-distribution (CKD) method is widely used in the radiative transfer schemes of atmospheric models and involves dividing the spectrum into a number of bands and then reordering the gaseous absorption coefficients within each one. The fluxes and heating rates for each band may then be computed by discretizing the reordered spectrum into of order 10 quadrature points per major gas and performing a monochromatic radiation calculation for each point. In this presentation it is shown that for clear-sky longwave calculations, sufficient accuracy for most applications can be achieved without the need for bands: reordering may be performed on the entire longwave spectrum. The resulting full-spectrum correlated k (FSCK) method requires significantly fewer monochromatic calculations than standard CKD to achieve a given accuracy. The concept is first demonstrated by comparing with line-by-line calculations for an atmosphere containing only water vapor, in which it is shown that the accuracy of heating-rate calculations improves approximately in proportion to the square of the number of quadrature points. For more than around 20 points, the root-mean-squared error flattens out at around 0.015 K/day due to the imperfect rank correlation of absorption spectra at different pressures in the profile. The spectral overlap of m different gases is treated by considering an m-dimensional hypercube where each axis corresponds to the reordered spectrum of one of the gases. This hypercube is then divided up into a number of volumes, each approximated by a single quadrature point, such that the total number of quadrature points is slightly fewer than the sum of the number that would be required to treat each of the gases separately. The gaseous absorptions for each quadrature point are optimized such that they minimize a cost function expressing the deviation of the heating rates and fluxes calculated by the FSCK method from line-by-line calculations for a number of training profiles. This approach is validated for atmospheres containing water vapor, carbon dioxide, and ozone, in which it is found that in the troposphere and most of the stratosphere, heating-rate errors of less than 0.2 K/day can be achieved using a total of 23 quadrature points, decreasing to less than 0.1 K/day for 32 quadrature points. It would be relatively straightforward to extend the method to include other gases. udud
机译:相关k分布(CKD)方法广泛用于大气模型的辐射传递方案,涉及将光谱划分为多个带,然后在每个带中重新排列气体吸收系数。然后,可以通过将重新排序的光谱离散为每种主要气体10个正交点的阶数,并对每个点执行单色辐射计算,来计算每个波段的通量和加热速率。在本演示文稿中,表明了对于晴空长波计算,无需频带即可实现大多数应用的足够精度:可以在整个长波频谱上执行重新排序。与标准CKD相比,所得的全光谱相关k(FSCK)方法所需的单色计算量要少得多,以实现给定的精度。首先通过与仅包含水蒸气的气氛的逐行计算进行比较来证明该概念,其中表明加热速率计算的精度大约与正交点数的平方成比例地提高。对于约20个以上的点,由于在剖面中不同压力下吸收光谱的等级相关性不理想,因此均方根误差在0.015 K /天左右趋于平坦。通过考虑m维超立方体来处理m种不同气体的光谱重叠,其中每个轴都对应于一种气体的重排光谱。然后,将这个超立方体划分为多个体积,每个体积都由一个正交点近似,因此正交点的总数比分别处理每种气体所需的总数之和要少。对每个正交点的气体吸收进行了优化,以使它们最小化一个成本函数,该函数表达了通过FSCK方法从许多训练曲线的逐行计算中得出的加热速率和通量的偏差。该方法已在包含水蒸气,二氧化碳和臭氧的大气层中得到验证,其中发现在对流层和大多数平流层中,总共使用23个加热层,每天可获得的加热速率误差小于0.2 K / day正交点,对于32个正交点减少到小于0.1 K /天。将方法扩展到包括其他气体将相对直接。 ud ud

著录项

  • 作者

    Hogan Robin J.;

  • 作者单位
  • 年度 2010
  • 总页数
  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
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