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GDAS数据和NOAH陆面模式在中国应用的精度检验
  • 期刊名称:地理科学进展
  • 时间:0
  • 页码:1422-1430
  • 语言:中文
  • 分类:TP79[自动化与计算机技术—控制科学与工程;自动化与计算机技术—检测技术与自动化装置]
  • 作者机构:[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]中国科学院地理科学与资源研究所生态系统网络观测与模拟重点实验室,北京100101
  • 相关基金:基金项目:国家重点基础研究发展计划项目(2009CB421305);国家自然科学基金项目(40801141,40871170);中科院百人计划项目.
  • 相关项目:地表蒸散的遥感定量反演及其时域尺度扩展研究
中文摘要:

GDAS数据集中的大气强迫数据是目前使用最广的用于陆面模式模拟地表水热参数的输入数据集,除模型本身外,可以说这些输入数据决定了模型的模拟精度。虽然这类数据具有空间分辨率低、空间代表性和精度有限的缺点,但在没有更好办法的现实条件下,现阶段多数研究者还是以此为依据进行陆面过程的模拟分析。本文的目的就是对目前普遍使用的GDAS强迫数据和NOAH陆面模式在中国应用的模拟精度进行检验,是模型和数据不做任何改动条件下的检验结果,给出客观的评价,以作为数据和模型使用者的参考依据,引起研究者的重视。利用中国3种典型生态系统的地面实测数据进行检验的结果显示:@GDAS强迫数据中的短波净辐射数据和总净辐射数据质量非常好,可以作为重要的辐射数据源使用;(2)GDAS的降雨数据与地面雨量筒实测数据比较误差较大,但综合考虑降雨数据验证时的尺度效应问题和目前降雨空间数据资源十分有限,GDAS的降雨数据仍具有很高的实用价值;(3)NOAH模拟的地表潜热、显热通量和0-10cm表层土壤含水量数据在时间变化趋势上与地面观测结果较一致,说明模拟结果能够很好地反映地表真实的变化过程,但在具体量值上仍存在较大差异;(4)NOAH模拟对土壤热通量的模拟精度较差。

英文摘要:

At present, GDAS atmospheric forcing data is widely used as the inputs in the simulation of water and energy cycles. Besides the problem of the model itself, these forcing data determine the accuracy of the simulation. Although there are obvious uncertainties and low spatial resolution for these data, most of researches still used them to perform the simulation of land surface process because no better way can be used. The purpose of this paper is to test the accuracy of the results simulated by NOAH land surface model taking GDAS atmospheric forcing data as the inputs and gives the objective evaluations, which has important reference value for the users of the data and the model. The test results obtained on the basis of the observation data from Yucheng, Xilinhaote and Changbaishan ecological observation sites showed that the accuracy of shortwave net radiation and total net radiation in GDAS dataset are very good. It is reliable in the applications. Large differences were found between precipitation data in GDAS dataset and those from the three sites; however, there is good consistence between their precipitation times. Considering the effect of scale difference between GDAS and measure- ment on the validation, and the lack of the spatial precipitation data, this data is also worth of application. In addition, there are also good consistence between the change trend of latent heat flux, sensible heat flux and the top soil water content simulated by NOAH and that by measurements, and the simulated results can truly reflect the change process of surface situation although there are large difference between their absolute values. Poor accuracy was found in simulated soil heat flux.

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