Collaborative research on quantifying the impacts of atmospheric and land surface heterogeneity and scale on soil moisture-precipitation feedbacks

量化大气和地表异质性和尺度对土壤水分-降水反馈影响的合作研究

• 批准号: 1035968
• 负责人: Benjamin Lintner
• 金额: $ 30.16万
• 依托单位: Rutgers University New Brunswick
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1035968&HistoricalAwards=false
• 关键词: Collaborative; research; quantifying; impacts; atmospheric

This project studies the potential feedback between soil moisture and precipitation. A positive feedback would mean that enhanced soil moisture leads to enhanced precipitation, as a wetter surface provides a source of evaporation for subsequent rainfall. In that case, precipitation would lead to wetter soil, which would in turn lead to further precipitation, while a lack of precipitation could lead to a lack of soil moisture and hence further reductions in precipitation leading to prolonged drought. This study assesses the influence of atmospheric and land surface heterogeneity and spatial scale on soil moisture-precipitation coupling, principally at daily timescales, through two interconnected approaches: 1) diagnostic analysis of available observations, reanalysis products, and global climate model (GCM) output; and 2) conceptual modeling of land-atmosphere interactions using process-based idealized models expresed as analytic equations as well as atmospheric column models coupled to simple soil models (eg "bucket" models). A primary objective of this activity is the development of robust, physically-based metrics for quantifying and comparing intraday soil moisture/precipitation coupling in models and observations.The issues addressed in this project have relevance to society as well as science, as drought duration and intensity have substantial consequences for agriculture. In addition, the project will support and train a postdoctoral researcher, thereby helping to support and train the next generation of scientists.

该项目研究土壤水分和降水之间的潜在反馈。 正反馈意味着土壤湿度的增加导致降水量的增加，因为更潮湿的表面为随后的降雨提供了蒸发源。 在这种情况下，降水将导致土壤更加湿润，这反过来又会导致进一步的降水，而降水不足可能导致土壤水分不足，从而导致降水进一步减少，导致长期干旱。本研究通过两种相互关联的方法评估了大气和陆面异质性和空间尺度对土壤水分-降水耦合的影响，主要是在日时间尺度上：1）对现有观测、再分析产品和全球气候模式（GCM）输出进行诊断分析;（2）陆-气相互作用的概念模型，基于理想化的模型表示为解析方程以及大气柱模型耦合到简单的土壤模型（如“桶”模型）。这项活动的主要目标是发展强大的，物理为基础的量化和比较模型和observations.The在这个项目中所解决的问题有相关的社会以及科学，干旱的持续时间和强度对农业的影响重大的一天土壤水分/降水耦合的指标。 此外，该项目将支持和培训一名博士后研究人员，从而帮助支持和培训下一代科学家。