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Global Historical Canopy Resistance Data Set for Climate Simulation
本研究利用一般氣象資料，配合太陽及大氣輻射等資料，建立全球地貌阻尼歷史資料庫，提供氣候模擬所需之地表參數。模擬結果顯示地貌阻尼有隨季節更迭之特性，且與降雨量及葉面積指數有關。地貌阻尼在沙漠地區相當大，約在500 s/m以上，雨林及溫帶沿海的都市約在50 ~100 s/m之間。此外亞馬遜流域之地貌阻尼還有逐年增加之趨勢。|
The continental surfaces, including vegetation cover, represent an important component of the Earth's climate system. From the point of view of atmospheric sciences, the land surface and biosphere interact with the lower atmosphere, and they have a significant impact on near-surface meteorological and climatological phenomena. Atmospheric general circulation models (GCMs) for climate simulations or numerical weather prediction require a realistic description of land surface processes. The degree of complexity needed for these land surface schemes is not yet completely determined. Numerous numerical experiments have been conducted with GCMs, revealing a sensitivity of the simulated climate to various land surface characteristics. For instance, different components of the global water cycle were found to be sensitive to the available soil moisture or the water-holding capacity of land as well as to land surface albedo or roughness. A new method is derived to calculate the canopy resistance requiring only normal meteorological data plus solar radiation and atmospheric radiation data. We estimated data set for past of tens years and provide models for surface parameters. The results of simulation showed that characteristic of changes seasonally of canopy resistance, and had relationship with precipitation and leaf area index. Canopy resistance was more than 500 s/m at desert areas, and was during 50 ~ 100 s/m at rainforest and urban area situated along coast with the temperate zone.
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