Continued Investigation of the Influence of Landscape on Weather and Climate

小行星9306754 对各种陆地/地表因素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因素之一。 首席研究员将继续进行一项正在进行的研究计划，研究土地/地表过程，具体目标如下： 1. 植被/土壤参数化的验证和探索 中尺度大气数值模式与 生态系统动力学模型 2. 景观斑块效应的调查： 边界层结构;中尺度发展 热强迫流动和深积云对流。 一个 重点将放在亚马逊森林砍伐的影响上。 3. 评估大气流动作为一种可预测的 土地/地表斑块的空间尺度功能。 这 包括进一步调查的假设， 不均匀的陆地/地表特征可以提高可预测性 与均匀表面相比。 4. 发展一个参数化的景观影响， 大型大气模型 如果成功，这项研究将产生更好的土地/表面参数化，这将导致改善大气数值模拟，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. ***