Download 3D radiative transfer in cloudy atmospheres by Alexander Marshak, Anthony Davis PDF

By Alexander Marshak, Anthony Davis

Developments in third-dimensional cloud radiation over the last few a long time are assessed and distilled into this contributed quantity. Chapters are authored through subject-matter specialists who address a vast viewers of graduate scholars, researchers, and an individual attracted to cloud-radiation strategies within the sunlight and infrared spectral regions. After introductory chapters and a piece at the primary physics and computational strategies, the quantity largely treats major program components: the impression of clouds at the Earth's radiation finances, that's a necessary point of weather modeling; and distant remark of clouds, in particular with the complex sensors on present and destiny satellite tv for pc missions.

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3D radiative transfer in cloudy atmospheres

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And the sad spinoff is that cloud radiation scientists seem to have lost interest in doing better, or in accounting for the complex way drops are spatially distributed in a cloud, differently for each drop size. In reality, drops have a joint probability distribution in both space and size, and that joint distribution cannot be separated into a function of size times a function of space because of size-dependent spatial clustering. Lest I let cloud physicists off the hook too lightly, or imply that they are all heroes in this drama, let us be clear that 90% of cloud physicists have remained as militantly ignorant of radiation as cloud radiation people have about cloud physics.

Why then prefer ideal ones in the field? Shouldn’t we rather observe typical, messy clouds in the field, then distill what we observe into simple models on the computer? That’s the normal process of science, whose main paradigm was established 400 years ago, when Newton started with the messy planetary motions and captured them inside simple dynamical laws. The whole process with clouds seems the opposite of that, namely: study only the simplest data, then fit it into the most complex theories. Just because it is easy to have complexity on the computer, doesn’t mean it is the right thing to do.

In that case, how can one speak of a point particle of light (a photon) caroming off a point scatterer? 27 However, amazingly, Monte Carlo gives a perfectly valid and acceptable solution to this radiative transfer problem, even though the words used to describe the algorithm become meaningless and in fact false. Nothing could better indicate the true character of Monte Carlo: a way of solving the radiative transfer 26 27 described in Marchuk et al. (1980) Of course the light waves excite each air molecule to emit dipole radiation in all directions, so the molecules can be viewed as point scattering centers.

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