A Simple Model for Land Surface Parameterization and Modeling

地表参数化和建模的简单模型

• 批准号: 9725698
• 负责人: Mark Friedl
• 金额: --
• 依托单位: Trustees of Boston University
• 依托单位国家: 美国
• 项目类别: Continuing grant
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-06-15 至 2001-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9725698&HistoricalAwards=false
• 关键词: Simple; Model; Land; Surface; Parameterization

9725698FriedlThis proposal addresses the need for improved methods to routinely monitor key variables within soil-vegetation-atmosphere-transfer (SVAT) parameterizations nested within climate and numerical weather forecasting models. To this end, a two year research plan is described to refine and validate a simple model to parameterize land surface processes in SVAT models using remotely sensed data sources. Key variables within this framework are surface temperature, vegetation type and amount, and surface moisture status. The proposed methodology builds off previous research and model development related to relationships among surface energy balance, vegetation cover, and surface temperature using data from FIFE. This work will continue to focus on analysis and modeling of these relationships in semi-arid regions. The research will refine a modeling strategy that is based on principles of land surface energy balance and which includes treatment of soil-vegetation micrometeorology, but which at the same time is simple enough to be implemented operationally using satellite data in association with minimal in-situ ground measurements. Specific tasks to be performed as part of this research are (1) the integration and validation of a soil heat and temperature model with a two-layer land surface energy balance model; and (2) development and testing of inversion modeling strategies to estimate land surface properties and energy balance components from satellite data. The proposed research has the potential to provide a simple, operational, yet accurate method to initialize, updata and validate land surface parameterizations within hydrologic and atmospheric circulation models. As such it is highly relevant to ongoing global change research programs including the GEWEX continental Scale International Project (GCIP) and the Earth Observing Systems (EOS).

9725698Friedl该提案解决了对改进方法的需求，以定期监测嵌套在气候和数值天气预报模型中的土壤植被大气转移（SVAT）参数化中的关键变量。为此，描述了一项为期两年的研究计划，以完善和验证一个简单的模型，以使用遥感数据源对 SVAT 模型中的陆地表面过程进行参数化。该框架内的关键变量是地表温度、植被类型和数量以及地表湿度状况。所提出的方法基于先前的研究和模型开发，涉及使用 FIFE 数据的地表能量平衡、植被覆盖和地表温度之间的关系。这项工作将继续关注半干旱地区这些关系的分析和建模。该研究将完善一种基于地表能量平衡原理的建模策略，其中包括土壤植被微气象的处理，但同时该策略足够简单，可以使用卫星数据结合最小的现场地面测量来实施。作为本研究的一部分，要执行的具体任务是（1）土壤热量和温度模型与两层地表能量平衡模型的集成和验证； (2) 开发和测试反演建模策略，以根据卫星数据估计地表特性和能量平衡成分。拟议的研究有可能提供一种简单、可操作且准确的方法来初始化、更新和验证水文和大气环流模型中的地表参数化。因此，它与正在进行的全球变化研究项目高度相关，包括 GEWEX 大陆尺度国际项目 (GCIP) 和地球观测系统 (EOS)。