Continued Investigation of the Influence of Landscape on Weather and Climate

[9306754] Pielke对各种陆地/地表因子对大气的影响知之甚少，这是限制大气可预测性的主要不确定性之一。首席研究员将继续进行一项正在进行的研究计划，研究陆地/地表过程，具体目标有以下四个：1。植被/土壤参数化的验证和探索中尺度大气数值模式与生态系统动力学模式的耦合。2. 景观斑块对边界层结构影响的研究中尺度热强迫流和深积云对流的发展。重点将放在亚马逊森林砍伐的影响上。3. 评价大气流动的可预测性作为陆地/地表斑块空间尺度的函数。这包括对假设的进一步调查，即与均匀表面相比，不均匀的陆地/地表特征可以提高可预测性。4. 大尺度大气模式中景观效应参数化的发展。如果成功，这项研究将产生更好的陆地/地表参数化，从而改进大气数值模拟，包括短期预报（中尺度）和气候模拟。＊＊＊

9306754 Pielke The poorly understood impact of a variety of land/surface factors on the atmosphere is one of the major uncertainties limiting atmospheric predictability. The Principal Investigator will continue an ongoing research program studying land/surface processes with the following four specific goals: 1. Validation of a vegetation/soil parameterization and exploring coupling of a mesoscale atmospheric numerical model to an ecosystem dynamic model. 2. Investigation of the effect of landscape patchiness on: boundary layer structure; development of mesoscale thermally-forced flows and deep cumulus convection. An emphasis will be placed on effects of Amazon deforestation. 3. Evaluation of the predictability of atmospheric flows as a function of spatial scales of land/surface patchiness. This includes further investigation of the hypotheses that inhomogeneous land/surface features can improve predictability as compared to a homogenous surface. 4. Development of a parameterization of landscape effects for large-scale atmospheric models. If successful, this research will produce better land/surface parameterizations which will lead to improvements in atmospheric numerical modeling including both short term forecasting (mesoscale) and climate modeling. ***