FOOTPRINT PREDICTION OF SCALAR FLUXES USING A MARKOVIAN ANALYSIS
FOOTPRINT PREDICTION OF SCALAR FLUXES USING A MARKOVIAN ANALYSIS
复制标题
DOI：
10.1007/bf00122089
复制
发表时间：
1990-08-01
影响因子：
4.3
通讯作者：
THURTELL, GW
中科院分区：
文献类型：
--
作者：
LECLERC, MY;THURTELL, GW
利用流体粒子轨迹的马尔可夫模拟，预测了逆风源对垂直标量通量密度测量的贡献（作为取物（“足迹”）的函数）。结果表明，足迹峰的位置和大小随表面粗糙度、热稳定性和观测水平的变化而显著变化。结果还表明，当在光滑表面上、稳定条件下或高观测水平下进行观测时，常用的100比1获取高度比严重低估了获取需求。
The contribution of upwind sources to measurements of vertical scalar flux density as a function of fetch (''footprint'') is predicted using a Markovian simulation of fluid particle trajectories. Results sugges that both footprint peak position and magnitude change dramatically with surface roughness, thermal stability and observation levels. Results also indicate that the much used 100 to 1 fetch-to-height ratio grossly underestimates fetch requirements when observations are made above smooth surfaces, in stable conditions or a high observation levels.