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Lakes in land surface models: Simulation and validation using satellite measurements.

机译:陆地表面模型中的湖泊:使用卫星测量进行模拟和验证。

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This dissertation is part of the long-term research towards building a complete surface water representation in the land surface model, in order to quantify the spatial and temporal variations of surface water bodies, especially lakes, and to further understand the role of lakes in the climate system. Changes in lake water storage reflect variations in climate such as changes in precipitation, land surface evaporation, net river discharge, and groundwater storage. However, owing to the lack of a comprehensive surface water observing system, continental-to-global-scale changes in surface water heights and inundation extent remain poorly understood.;In the previous study, a Catchment-based Hydrologic And Routing Modeling System (CHARMS) was developed to be run on a catchment-based modeling template, which was modified from the grid-based National Center for Atmospheric Research (NCAR) Community Land Model (CLM). In the CHARMS model, the catchment-based CLM was coupled to a catchment-based river routing model, which simulated the movement of water through river channels and floodplains. However, the lake component was not included in the CHARMS routing system. Moreover, in the CLM model, lakes are considered to have a globally consistent depth of 50m and a constant volume. In this dissertation, a lake model (CHARMS-lake) is implemented in the routing path of CHARMS, with the objective of better representing the surface water system in the land surface model.;In Chapter 2 of this dissertation, the CHARMS model is modified. In the previous version of CHARMS model, an explicit representation of lake bodies was missing, with the lakes either ignored from the surface water system or kept constant in storage. In this chapter the routing path for CHARMS is manipulated by adding lakes into the river network. Modeled lake levels for Lake Superior and Lake Victoria are compared with the altimetry data, and the outflow discharge from lake basins is also compared with the model case which assumes no lake in the basin.;The performance of NASA's Gravity Recovery and Climate Experiment (GRACE) detecting changes in land water mass is evaluated in Chapter 3, to test its ability of capturing the hydrologic signal from lakes. After removing the hydrologic leakage from the surrounding area, the gridded GRACE TELLUS RL 05 product is scaled over the 16 largest lakes in the world, and compared with the altimetry data for the period of 2003 to 2010. Statistical analysis is performed to find factors that significantly influence the quality of GRACE observations over lakes.;Chapter 4 of the dissertation studies the physical properties of lakes, such as thermal expansion, as well as lake bathymetry, in order to better understand their impact on lake level variations. The high resolution bathymetry data for the Great Lakes is integrated and the hypsometric curves for the five lakes are plotted. Thermal expansion of the lakes is estimated using the MODIS surface water temperature data for 6 lakes in two different climate zones. The ratio of thermal expansion to the total amount of lake level change is calculated, indicating that in the tropical regions the impact of thermal expansion can be ignored.;This CHARMS-lake model will provide a better understanding of the global hydrologic cycle, and is expected to be coupled to a global scale atmospheric model to study the feedbacks between climate and the terrestrial surface water system.
机译:这篇论文是长期研究的一部分,目的是在陆地表面模型中建立完整的地表水代表性,以便量化地表水体(尤其是湖泊)的时空变化,并进一步了解湖泊在水体中的作用。气候系统。湖泊蓄水量的变化反映了气候的变化,例如降水量,土地表层蒸发,河流净流量和地下水储量的变化。然而,由于缺乏一个全面的地表水观测系统,对地表水高度和淹没程度的全球范围内全球变化的了解仍然很少。;在以前的研究中,基于集水区的水文和路径模型系统(CHARMS) )可以在基于集水区的建模模板上运行,该模板已从基于网格的美国国家大气研究中心(NCAR)社区土地模型(CLM)进行了修改。在CHARMS模型中,将基于流域的CLM与基于流域的河道模型耦合,该模型模拟了水在河道和洪泛区中的流动。但是,湖泊部分未包括在CHARMS路由系统中。此外,在CLM模型中,湖泊被认为具有50m的全球一致深度和恒定体积。本文在CHARMS的路径中实现了湖泊模型(CHARMS-lake),目的是更好地描述地表模型中的地表水系统。第二章对CHARMS模型进行了修改。 。在CHARMS模型的先前版本中,缺少湖泊主体的显式表示,湖泊或者从地表水系统中被忽略,或者在存储中保持不变。在本章中,通过向河流网络中添加湖泊来操纵CHARMS的路由路径。将苏必利尔湖和维多利亚湖的模型湖水位与测高数据进行比较,还将湖盆的流出量与假设流域无湖的模型实例进行比较。; NASA重力恢复和气候实验(GRACE)的性能)在第3章中评估了检测陆地水量的变化,以测试其捕获湖泊水文信号的能力。消除周围地区的水文渗漏后,将网格化的GRACE TELLUS RL 05产品缩放到世界上16个最大的湖泊中,并与2003年至2010年的测高数据进行比较。进行统计分析以找出导致以下情况的因素:论文的第四章研究了湖泊的物理性质,如热膨胀和湖泊测深法,以更好地了解它们对湖泊水位变化的影响。整合了大湖区的高分辨率测深数据,并绘制了五个湖的水势曲线。利用MODIS地表水温度数据估算了两个不同气候区中6个湖泊的湖泊热膨胀。计算了热膨胀与湖泊水位变化总量的比率,表明在热带地区,热膨胀的影响可以忽略。该CHARMS-lake模型将提供对全球水文循环的更好理解,并且预计将与全球规模的大气模型耦合,以研究气候与地面地表水系统之间的反馈。

著录项

  • 作者

    Liu, Huidong.;

  • 作者单位

    University of California, Irvine.;

  • 授予单位 University of California, Irvine.;
  • 学科 Hydrology.;Geophysics.;Remote Sensing.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 108 p.
  • 总页数 108
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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