扩展我们对利用 "三角 "技术检索地表能量通量和地表土壤水分的理解

IF 4.8 2区 环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
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引用次数: 0

摘要

本研究展示了一种被称为 "三角 "的反演建模方案的能力,该方案利用 ASTER 卫星图像与 SimSphere 陆地生物圈模型协同作用,以高分辨率检索地表能量通量和土壤表面湿度(SSM)的时空估算值。此外,本研究的另一个目标是检验该技术在检索蒸发分量(EF)和非蒸发分量(NEF)方面的应用情况,以此作为白天平均通量的代表。利用从代表各种气候、地形和环境条件的九个 CarboEurope 站点获取的现场数据,对 2011 年 16 个日历日的情况进行了研究,以证明所研究技术的适用性。结果表明,所有反演参数与相应的原位数据非常接近。SSM 预测图显示的偏差较小,为 0.08 Vol-1,散度为 0.18 Vol-1,均方根误差为 0.19 Vol-1。预测的 LE 通量显示出相对较低的总体一致性(RMSD = 65.10 Wm-2),而报告的 H 通量 RMSD 为 85.02 Wm-2。研究结果还证实,所研究的技术能够对 NEF 和 EF 进行有意义的估算。总之,本研究的结果至少与使用高分辨率(机载)和低分辨率(卫星)数据对 "三角区 "进行的其他类似验证研究的结果相当,甚至更准确。据我们所知,本研究是在欧洲环境下结合 SimSphere SVAT 模型和 ASTER EO 数据集对这一特定方法的性能进行的首次全面评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Extending our understanding on the retrievals of surface energy fluxes and surface soil moisture from the “triangle” technique

The present study demonstrates the capability of an inversion modelling scheme so-called the “triangle” to retrieve spatiotemporal estimates of surface energy fluxes and soil surface moisture (SSM) at high resolution using ASTER satellite imagery synergistically with SimSphere land biosphere model. In addition, as a further objective of this study is to examine the use of the technique for retrieving the Evaporative (EF) and the Non-Evaporative (NEF) Fractions as representations of the daytime average fluxes. The applicability of the investigated technique, is demonstrated for sixteen calendar days of year 2011 using in-situ data acquired from nine CarboEurope sites representing a variety of climatic, topographic and environmental conditions. Results indicated a close agreement between all the inverted parameters and the corresponding in-situ data. SSM predicted maps showed a small bias of 0.08 vol vol−1, a scatter of 0.18 vol vol−1 and a RMSD of 0.19 vol vol−1. The predicted LE fluxes showed a relatively low overall agreement (RMSD = 65.10 Wm-2), whereas for H flux reported RMSD was 85.02 Wm-2. The results also confirmed the ability of the investigated technique to provide meaningful estimates of the NEF and EF. All in all, the present study findings were at least comparable, or of higher accuracy, to those reported in other similar verification studies of the “triangle” using both high resolution (airborne) and low resolution (satellite) data. To our knowledge, this study represents the first comprehensive evaluation of the performance of this particular methodological implementation at a European setting combining the SimSphere SVAT model and ASTER EO datasets.

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来源期刊
Environmental Modelling & Software
Environmental Modelling & Software 工程技术-工程:环境
CiteScore
9.30
自引率
8.20%
发文量
241
审稿时长
60 days
期刊介绍: Environmental Modelling & Software publishes contributions, in the form of research articles, reviews and short communications, on recent advances in environmental modelling and/or software. The aim is to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.
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