Tropical Deforestation as a Testbed for Improving Parameterization and Understanding of Land-Atmosphere Interactions

本项目利用NCAR群落气候模式（CCM）进行模拟，并对地表参数化进行简单分析，研究亚马孙森林向草原转变的气候效应。重点是水文循环，特别是降水和蒸散发和推断径流。除了完全毁林情景，短期数值模拟将用于揭示反照率、表面粗糙度和表面长波发射变化的相对重要性。本文以所研究的问题为例，以便更好地理解在与陆地过程模式耦合的气候模式中运行的机制。这项研究很重要，因为从中获得的更多认识将用于确定进一步改进气候模式的陆地成分的需要。这项研究是由全球变化研究计划的气候模拟、分析和预测（CMAP）倡议资助的。

This project studies the climate effects of the conversion of the Amazon forest to a grassland, using simulations with the NCAR Community Climate Model (CCM) and simple analyses for the surface parametrizations. Emphasis is on the hydrological cycle, in particular precipitation and evapotranspiration and inferred runoff. Besides the full deforestation scenario, short numerical simulations will be used to reveal the relative importance of changes in albedo, surface roughness, and surface longwave emission. The problem studied is used as an example to yield a better understanding of mechanisms operating in a climate model coupled to a land process model. This study is important because the increased understanding derived from it will be used to determine needs for further improvement in the land component of climate models. This research is funded under the Climate Modeling, Analysis and Prediction (CMAP) initiative of the Global Change Research Program.