地理学报 ›› 2015, Vol. 70 ›› Issue (5): 809-818.doi: 10.11821/dlxb201505011

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基于水文模型的蒸散发数据同化研究进展

占车生1(), 董晴晴2(), 叶文2, 王会肖2, 王飞宇1,3   

  1. 1. 中国科学院地理科学与资源研究所 陆地水循环及地表过程重点实验室,北京 100101
    2. 北京师范大学水科学研究院,北京 100875
    3 中国科学院大学,北京 100049
  • 收稿日期:2015-01-09 修回日期:2015-04-08 出版日期:2015-05-20 发布日期:2015-06-11
  • 作者简介:

    作者简介:占车生(1975-), 男, 湖北黄冈人, 副研究员, 主要从事流域水循环模拟研究。E-mail: zhancs@igsnrr.ac.cn

  • 基金资助:
    国家重点基础研究发展计划(973计划)项目(2015CB452701);国家自然科学基金项目(41271003, 41371043)

A review on evapotranspiration data assimilation based on hydrological models

Chesheng ZHAN1(), Qingqing DONG2(), Wen YE2, Huixiao WANG2, Feiyu WANG1,3   

  1. 1. Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
    2. College of Water Sciences, Beijing Normal University, Beijing 100875, China
    3. University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2015-01-09 Revised:2015-04-08 Online:2015-05-20 Published:2015-06-11
  • Supported by:
    National Key Basic Research Program of China (973Program), No.2015CB452701;National Natural Science Foundation of China, No.41271003, No.41371043

摘要:

本文系统综述了基于水文模型的蒸散发数据同化研究,阐述了蒸散发作为非状态变量构建数据同化演算关系的难点和瓶颈,并系统分析了利用当前各种通用水文模型进行蒸散发同化的可行性。基于此,尝试提出了一种易于操作且具有水循环物理机制的蒸散发同化新方案,该方案利用具有蒸散发—土壤湿度非线性时间响应关系的分布式时变增益模型(DTVGM),并进一步完善DTVGM蒸散发机理,构建基于DTVGM水文模型的蒸散发数据同化系统。该新方案将为区域蒸散发精确模拟提供新的思路和借鉴。

关键词: 蒸散发, 数据同化, 水文模型, 非状态变量

Abstract:

This paper provided a comprehensive review of evapotranspiration data assimilation based on hydrological model. The difficulty and bottleneck for ET was elaborated to construct data assimilation relationship as a non-state variable, with a discussion and analysis about the feasibility of various hydrological models to assimilate ET. Based on this, a new evapotranspiration assimilation scheme was proposed. The scheme presented developed an improved data assimilation system that use distributed time-variant gain model (DTVGM) which contains evapotranspiration-soil humidity nonlinear time response relationship. Moreover, the evapotranspiration mechanism in DTVGM was improved to perfect the ET data assimilation system.

Key words: evapotranspiration, data assimilation, hydrological model, non-state variable