1. 西安理工大学水资源研究所,西安,710048
2. 西安理工大学信息管理系,西安,710048
网络首发:2010-10-10,
纸质出版:2010
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李建勋 1, 2, 解建仓 1, 等. 计算网格下的高性能MODIS蒸散发反演研究[J]. 西安交通大学学报, 2010,44(10):36-41.
An Approach for MODIS Evapotranspiration Inversion with High Performance Based on Computational Grid[J]. 2010, 44(10): 36-41.
针对MODIS蒸散发反演运算效率不高的问题
提出一种基于计算网格技术的并行处理方法
以提高水文预报的精度和时效.通过给出原子的形式化定义
将蒸散发反演算法拆分为可在网格上调度执行的原子; 建立标准化的参数引用关系和编排机制
形成基于地球表面能量平衡原理的反演作业图; 根据作业拓扑结构和节点状况
以细粒度方式加以调度.实验表明
该方法具有良好的高性能特征
反演速度快、稳定
并可合理地利用计算力资源.
According to the inefficiency of MODIS evapotranspiration inversion
a parallel processing method is proposed based on computational grid to improve the accuracy and timeliness of hydrological forecasting. A formal definition of atom is given
and then the MODIS evapotranspiration inversion algorithm is split into atoms that can be scheduled and executed on grid. Standard relations and arrangement mechanism of parameters are established and the inversion task graph is constructed based on the principle of the earth's surface energy balance. The schedule of the task is made by particles with small size
task topological structure and node state. Experimental results show that the algorithm has good characteristics of high-performance
fast and stable inversion
and reasonable use of node computing resources.
AHMAD M, BIGGS T, TURRAL H, et al. Application of SEBAL approach and MODIS time-series to map vegetation water use patterns in the data scarce Krishna river basin of India[J]. Water Science & Technology, 2006,53(10):83-90.
ZHANG Y Q, MARTIN W. Integration of MODIS data into a simple model for the spatial distributed simulation of soil water content and evapotranspiration[J]. Remote Sensing of Environment, 2006,22(5):393-408.
NISHIDA K, NEMANI R, RUNNING S, et al. Development of an evapotranspiration index from aqua/MODIS for monitoring surface moisture status[J]. IEEE Transactions of Geoscience and Remote Sensing, 2003,41(2):493-501.
CLEUGH H, LEUNING Q, RUNNING S. Regional evaporation estimates from flux tower and MODIS satellite data[J]. Remote Sensing of Environment, 2007,106:285-304.
MU Q, HEINSCH F, ZHAO M, et al. Development of a global evapotranspiration algorithm based on MODIS and global meteorology data[J]. Remote Sensing of Environment, 2007,111(4):519-536.
YU J H, LIOU Y, CHANG T Y. Using MODIS imagery to estimate of evapotranspiration over Paddy Field in ChaiYi Plain[J]. Journal of Photogrammetry and Remote Sensing, 2007,12(4):334-339.
PAMELA L, JAMES C, EDWARD G, et al. Predicting riparian evapotranspiration from MODIS vegetation indices and meteorological data[J]. Remote Sensing of Environment, 2005,94:17-30.
桂小林, 钱德沛. 基于Internet的网格计算模型研究[J]. 西安交通大学学报, 2001,35(10):1008-1011.
GUI Xiaolin, QIAN Depei. Grid computing prototype based on internet[J]. Journal of Xi'an Jiaotong University, 2001,35(10):1008-1011.
SU Z. The surface energy balance system(SEBS)for estimation of turbulent heat fluxes [J]. Hydrology and Earth System Sciences, 2002,6(1):85-99.
CHEN Y H, LI X B, JING G F, et al. An estimation model for daily regional evapotranspiration[J]. International Journal of Remote Sensing, 2003,24:199-205.
杨华, 朱骥, 陆忠华, 等. 基于GOS的国家网格集成环境及应用实例开发[J]. 计算机应用研究, 2007(2):196-198.
YANG Hua, ZHU Ji, LU Zhonghua, et al. CNGrid integrated environment and application development base on GOS [J]. Application Research of Computers, 2007(2):196-198.
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