利用气象测量数据和TM图像改进气动粗糙度模型

Yanlian Zhou, Xiaomin Sun, W. Ju
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引用次数: 0

摘要

气动粗糙度(z0)是描述下垫面气动特性和湍流交换的主要参数之一。它在地表通量模拟和大气边界层研究中也起着非常重要的作用。在通量和大气数值模拟模型中,z0通常被认为是与粗糙要素相关的简单参数,而实际上z0是气动和热因素与粗糙要素共同作用的结果。一些研究人员建立了一个模型来计算TM像素尺度下的有效粗糙度。但在模型中,取物长度简单地考虑为最高测量高度的100倍,这导致模型的不确定性很大。随着涡动相关观测和足迹理论的发展,可以用更精确的足迹模型来确定取值。本文旨在对基于足迹模型的模型进行改进,明确z0与气温、风速、几何粗糙度的关系。首先获取两个不同层次的气象数据计算z0,并将计算得到的z0作为实值,然后利用FSAM足迹模型计算提取长度。其次,从TM图像中提取LAI,计算几何粗糙度;再次,将阻力系数纳入粗糙度计算模型,并结合足迹模型、LAI、植被高度、大气分层和阻力系数建立粗糙度计算模型。结果表明,z0是热因素和气动因素共同作用的结果,较好地解释了粗糙度动力学产生的原因。阐明了粗糙元素与空气动力和热因素之间的定量关系,并利用足迹确定的提取量建立了TM像元尺度下更精确的z0提取模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improvement of an aerodynamic roughness model with meteorological measurements and TM image
Aerodynamic roughness length (z0) is one of the main parameters for describing aerodynamic characteristics and turbulence exchange of underlying surfaces. It also plays a very important role in land surface fluxes simulation and atmospheric boundary layer studies. In fluxes and atmospheric numerical simulation models, z0 is usually considered as a simple parameter related to rough elements, while actually z0 is the result of aerodynamic and thermal factors and rough elements. Some researchers on z0 established a model to calculate effective roughness at TM pixel scale. But in the model, the length of the fetch is simply considered as 100 times of the highest measuring height, which results in much uncertainty of the model. With the development of eddy covariance observations and the footprint theory, fetch could be determined with more accurate footprint model. This paper aims to make an improvement for the model basing on footprint model, and clarify the relationship between z0 and air temperature, wind speed and geometric roughness. Firstly meteorological data in two different levels was obtained to calculate z0 and the calculated z0 was considered as the real value, and then the fetch length was calculated by FSAM footprint model. Secondly LAI was retrieved from TM image to calculate geometric roughness. Thirdly drag coefficient was taken into the roughness calculation model, and then a roughness calculation model was established with footprint model and LAI, vegetation height, atmospheric stratifications and drag coefficient. The result indicated that z0 is the function of thermal and aerodynamic factors, and the reason for roughness dynamic was interpreted thoroughly. The quantitative relationship between rough elements and aerodynamic and thermal factors is clarified, and a more accurate model for retrieving z0 at TM pixel scale could be established with the fetch determined by footprint.
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