ABSTRACT

Remote sensing plays an increasingly important role in climate research, and as remote sensing observation files span longer periods of time, we are receiving more and more data on climate parameters such as clouds. Four decades ago, it was proposed that the area of planar shapes change with their perimeter following the power law. The exponent of this relation for the areas of clouds (typical and noctilucent) and rain determined by satellites and radar is 1.35 close to 4/3 of the classical turbulence theory of 1941. In this paper, we propose a new relationship between the area and the perimeter of rain and clouds using remote sensing observations. This relationship leads to the development of a new model for the detection of extreme natural phenomena related to rain and clouds.

摘要

遥感在气候研究中发挥着越来越重要的作用，随着遥感观测文件跨越的时间越长，我们收到的云等气候参数的数据也越来越多。四十年前，有人提出平面形状的面积随其周长而变化，遵循幂律。由卫星和雷达确定的云（典型和夜光）和降雨面积的这种关系的指数是 1.35，接近 1941 年经典湍流理论的 4/3。在本文中，我们提出了面积和雨量之间的新关系。使用遥感观测的雨和云的周长。这种关系导致开发了一种新模型，用于检测与雨和云相关的极端自然现象。