A NEW PHYSICALLY BASED METHOD FOR AIR TEMPERATURE DOWNSCALING | |
Rong,Yuan(荣媛) ; Su,Hongbo ; Zhang,Renhua ; Tian,Jing ; Chen,Shaohui ; Yang,Yongmin ; Li,Bin | |
2011 | |
会议名称 | 2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 |
会议日期 | July 24, 2011 - July 29, 2011 |
会议地点 | Vancouver, BC, Canada |
关键词 | Data processing Geology Interpolation Rating Remote sensing Surface properties Water supply |
通讯作者 | Rong, Yuan(荣媛) |
英文摘要 | An international widespread concern about scaling is how to choose appropriate scale or resolution, and how to evaluate the impact of them[1]. Air temperature is an important input variable to estimate terrestrial evapotranspiration based on satellite remote sensing. The air temperature obtained by the observations from surface meteorological stations is limited in their spatial and temporal representation, while the validated GDAS (Global Data Assimilation System) has many advantages, it can provide the simulated temperature data every 3 hours, and it has great value in downscaling analysis. There are three major driving factors of the near surface air temperature: the surface long-wave radiative balance, land-air turbulent heat exchange, and advection. The fluctuation of the Air temperature (2m height level above ground) mainly depends on underlying surface feedback. Northern China was chosen as the study area. Using air temperature data from the GDAS forcing dataset as a data source, we proposed a new method for downscaling air temperature based on land surface temperature. In order to evaluate the performance of our methods, bilinear interpolation, spline interpolation were used in the comparison. To assess the performance of the downscaling approaches, the ground measurements were used to compare with the downscaling results. Experiments show that the effect of static feedback interpolation is the best based on the surface temperature. What we have got are as follows. First, In most plain areas, the air temperature(2m height level above ground) mainly depends on the temperature of the surface temperature. Second, during the process of downscaling, pure mathematic methods appear to be not sufficient. It is necessary that the effects of physical basis be taken into consideration. |
收录类别 | EI |
会议录 | International Geoscience and Remote Sensing Symposium (IGARSS) |
会议录出版者 | Institute of Electrical and Electronics Engineers Inc |
会议录出版地 | 445 Hoes Lane / P.O. Box 1331, Piscataway, NJ 08855-1331, United States |
ISBN号 | 9781457710056 |
内容类型 | 会议论文 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/27841] |
专题 | 地理科学与资源研究所_研究生部 |
推荐引用方式 GB/T 7714 | Rong,Yuan,Su,Hongbo,Zhang,Renhua,et al. A NEW PHYSICALLY BASED METHOD FOR AIR TEMPERATURE DOWNSCALING[C]. 见:2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011. Vancouver, BC, Canada. July 24, 2011 - July 29, 2011. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论