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Assessment of two Satellite-Based Land Surface Shortwave Downward Radiation Datasets Over the Tibetan Plateau

机译:青藏高原两个基于卫星的地面短波向下辐射数据集的评估

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Land surface shortwave downward radiation (SWDR), as one of major components of the surface radiation budget (SRB), plays an important role in the fields of atmospheric, oceanic, and land processes, and ultimately influences the Earth's climate as well as the matter and energy cycle of the earth system. Currently, regional or global SWDR can be obtained either from reanalysis products or from satellite observations based on statistical or physical-based retrieval models. Although great efforts have been made to assess the applicability and accuracy of those different SWDR datasets, few studies have been conducted to evaluate the performance of the Clouds and the Earth's Radiant Energy System Synoptic (CERES-SYN) Edition 3a and Himawari-8 SWDR datasets over the Tibetan Plateau. In this study, the both SWDR datasets are validated against in-situ data at 11 ground sites from the China Meteorological Administration (CMA). It is found that the Himawari-8 SWDR product has a slightly higher accuracy in these two SWDR datasets but with a significantly higher spatial resolution (5km). The mean bias is 1.7 W/m2 for CERES-SYN and -1.6 W/m2for Himawari-8, respectively, the root mean square errors (RMSE) are 31.3 W/m2for CERES-SYN and 31.2 W/m2for Himawari-8, respectively. Mean coefficient of determination (R2) of the two datasets are both over 0.8. It is clearly that CERES-SYN tends to overestimate SWDR somewhat while the Himawari-8 has slight underestimation over the Tibetan Plateau. The findings in this paper can be valuable for hydrological, ecological, agrometeorological and biogeochemical applications and researches.
机译:陆地表面短波下行辐射(SWDR)作为表面辐射预算(SRB)的主要组成部分之一,在大气,海洋和陆地过程领域中发挥着重要作用,并最终影响地球的气候和物质和地球系统的能量循环。目前,可以从重新分析产品或基于统计或基于物理的检索模型的卫星观测中获得区域或全球SWDR。尽管已做出巨大的努力来评估那些不同的SWDR数据集的适用性和准确性,但很少进行研究来评估云和地球辐射能系统概要(CERES-SYN)版本3a和Himawari-8 SWDR数据集的性能在青藏高原上。在这项研究中,两个SWDR数据集均根据来自中国气象局(CMA)的11个地面站点的现场数据进行了验证。发现Himawari-8 SWDR产品在这两个SWDR数据集中具有更高的精度,但具有明显更高的空间分辨率(5 km)。平均偏差为1.7 W / m 2 用于CERES-SYN和-1.6 W / m 2 对于Himawari-8,均方根误差(RMSE)分别为31.3 W / m 2 CERES-SYN和31.2 W / m 2 分别是Himawari-8两个数据集的平均确定系数(R2)均超过0.8。显然,CERES-SYN倾向于高估SWDR,而Himawari-8在青藏高原上略有低估。本文的发现对于水文,生态,农业气象和生物地球化学的应用和研究具有重要的参考价值。

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