...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Geophysical Research. Biogeosciences >Satellite estimation of photosynthetically active radiation in Southeast Asia: Impacts of smoke and cloud cover - art. no. D04102
【24h】

Satellite estimation of photosynthetically active radiation in Southeast Asia: Impacts of smoke and cloud cover - art. no. D04102

机译：东南亚对光合有效辐射的卫星估计：烟雾和云层的影响-艺术。没有。 D04102

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Since large-scale variations in photosynthetically active radiation (PAR) influence the terrestrial carbon sources and sinks through the plant photosynthesis variations, large-scale evaluation of PAR is required. In the present study a simple PAR estimation model was developed for Southeast Asia, where large-scale forest fires occurred during El Nino years. The model considered the smoke aerosol released by forest fires using satellite-based smoke detection methods. A comparison study with ground-based solar radiation data for Malaysia and Thailand indicated that the current model could estimate monthly PAR with 10% (root-mean-square) accuracy and would successfully trace the seasonal and year-to-year variations in PAR, including the forest fire periods. During the peak-smoke month in Indonesia, September 1997, the reduction of PAR by smoke reached 63-75% in the center of the Kalimantan and Sumatra Islands. From the analyses of the smoke and cloud cover impacts on PAR in 1997-1999, annual PAR variations were found to be mostly regulated by smoke variations on the Malay Peninsula, Sumatra, and Kalimantan Islands and cloud cover variations on the Indo-China Peninsula. Thus annual variations in PAR changed with location. These variations did not simply correlate with year- to-year variations in cloud cover associated with the El Nino and La Nina cycle, but exhibited more complicated spatial variations due to the existence of smoke in Southeast Asia. [References: 42]
机译：由于光合有效辐射（PAR）的大规模变化会通过植物的光合作用变化影响陆地碳源和汇，因此需要对PAR进行大规模评估。在本研究中，为东南亚开发了一个简单的PAR估计模型，在该地区，厄尔尼诺现象期间发生了大规模的森林大火。该模型使用基于卫星的烟雾检测方法考虑了森林大火释放的烟雾。与马来西亚和泰国的地面太阳辐射数据进行的比较研究表明，当前模型可以估算每月PAR，准确度为10％（均方根），并且可以成功追踪PAR的季节性和逐年变化，包括森林大火时期。在1997年9月印度尼西亚的高峰烟月期间，加里曼丹和苏门答腊群岛中部的烟尘使PAR降低了63-75％。通过对1997-1999年烟尘和云层覆盖对PAR的影响分析，发现年度PAR变化主要受马来半岛，苏门答腊和加里曼丹群岛的烟气变化以及印度支那半岛的云层变化影响。因此，PAR的年度变化随位置而变化。这些变化不仅与厄尔尼诺和拉尼娜周期相关的云量年变化相关，而且由于东南亚存在烟尘，显示出更为复杂的空间变化。 [参考：42]

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号