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New land surface albedo parameterization based on MODIS data: Preliminary result

  • Xin Zhong Liang*
  • , Min Xu
  • , Wei Gao
  • , Kenneth Kunkel
  • , James Slusser
  • , Yongjiu Dai
  • , Qilong Min
  • *此作品的通讯作者
  • University of Illinois at Urbana-Champaign
  • Colorado State University
  • Beijing Normal University
  • SUNY Albany

科研成果: 期刊稿件会议文章同行评审

摘要

A new parameterization of snow-free land surface albedo is developed using the MODerate resolution Imaging Spectroradiometer (MODIS) products of broadband black-sky and white-sky reflectance and vegetation information as well as the North American and Global Land Data Assimilation System (LDAS) outputs of soil moisture during 2000-2003. It represents the predictable albedo dependences on solar zenith angle, surface soil moisture, fractional vegetation cover, and leaf plus stem area index, while including a statistic correction for static effects specific of local surface characteristics. All parameters are estimated by solving optimization problems of a physically-based conceptual model for the minimization of the bulk variances between simulations and observations. A preliminary result showed that, for composites of all temporal and spatial samples of a same land cover category over North America, correlation coefficients between the new parameterization with the MODIS data range from 0.6 to 0.9, while relative errors vary within 5-20%. This is a substantial improvement over the existing state-of-the-art Common Land Model (CLM) albedo scheme, which has correlation coefficients from -0.5 to 0.5 and relative errors of 20-100%.

源语言英语
文章编号41
页(从-至)55-60
页数6
期刊Proceedings of SPIE - The International Society for Optical Engineering
5544
DOI
出版状态已出版 - 2004
已对外发布
活动Remote Sensing and Modeling of Ecosystems for Sustainability - Denver, CO, 美国
期限: 2 8月 20044 8月 2004

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