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- W166162392 abstract "Clouds play a major role in regulating Earth’s climate. However, computer models of Earth’s climate neglect the effects of cloud vertical extend in a broken cloud field. The vertical extent allows clouds to shade more of the atmosphere and allow radiative exchange over a larger temperature range. One way to parameterize this 3D cloud effect is to relate the various cloud properties, including the cloud vertical extent, to a statistical cloud field parameter called the probability of clear line of sight (PCLS) (see Figure 1) and then to a simple integral parameter – the effective-cloud-fraction (Ne). PCLS is a summary description of the geometric distribution of a cloud field. It depends on the cloud location, cloud size, and cloud shape. Given different probability distributions for the location, size, and shape, we may format different PCLS models. We are trying to test various PCLS models with Atmospheric Radiation Measurement (ARM) cloud observations. In order to achieve this, we need to infer such cloud properties as the absolute N (N), cloud thickness, cloud spacing, and horizontal size, from various ARM observations, including, the total sky imager (TSI), the whole sky imager (WSI), the narrow field of view sensor (NFOV), the millimeter-wave cloud radar (MMCR), and several Lidar instruments. In this paper, the cloud properties over the ARM Cloud and Radiation Testbed (CART) site during the spring and summer seasons of the 2000 and 2001 will be shown. Various PCLS models will be tested against observed PCLS values. Longwave Flux Calculations under Broken Clouds In climate studies, the longwave radiative fluxes are usually calculated as the cloud amount (N) weighted average of the values for homogeneous clear and cloudy sky conditions. N is usually assumed the fractional coverage of the vertical projections of plane-parallel clouds. However, under broken cloud conditions, cloud vertical extent will also contribute considerable amount of coverage. To keep this computer-time-saving method but also account for the finite size effects of the clouds in the calculation of the longwave radiation, one may define an Ne, such that" @default.
- W166162392 created "2016-06-24" @default.
- W166162392 creator A5077014028 @default.
- W166162392 date "2003-01-01" @default.
- W166162392 modified "2023-09-27" @default.
- W166162392 title "Testing the Probability of Clear Line of Sight Models with ARM Observations" @default.
- W166162392 hasPublicationYear "2003" @default.
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