Surface soil moisture retrieval from the temporal evolution of surface temperature for bare surface
文献类型:会议论文
作者 | Zhao, Wei(赵伟) ; Li, Zhao-Liang |
出版日期 | 2011 |
会议名称 | Progress in Electromagnetics Research Symposium, PIERS 2011 Suzhou |
会议日期 | September 12, 2011 - September 16, 2011 |
会议地点 | Suzhou, China |
关键词 | Atmospheric temperature Computer simulation Geostationary satellites Groundwater Mean square error Soil moisture |
通讯作者 | Zhao, Wei(赵伟) |
英文摘要 | Land surface soil moisture (SSM) has an important role for groundwater recharge, agriculture, soil chemistry, and climate forecasting. Many recent scientific research efforts have aimed toward a predictive-understanding of SSM over space and time based on the instantaneous observations of land surface temperature (LST). However, the information provided by the temporal variation of LST has been less considered or discussed. The present study aims to find the relationship between the temporal variation of LST and SSM and then to propose a method for retrieving SSM from geostationary satellite data. Due to the absence of the accurate SSM measurements at large scale, NOAH land surface model (LSM) is used to provide the temporal evolution of the LST under different soil types and SSM conditions for cloud free days and bare soil surfaces. Two empirical models (linear and second-degree polynomial forms) are proposed to estimate SSM using the two LST temporal variables TN (the LST rising rate normalized by the difference in the net surface shortwave radiation during the mid-morning) and td (the time at which the daily maximum temperature occurs). The root mean square errors (RMSE) of the SSM retrieved using the linear and second-degree models with simulated data are found to be 0.03 m 3/m3 and 0.024 m3/m3 respectively. The results show that the coefficients except for the constant term in both models are independent of the atmospheric conditions and soil types, but the constant term varies with atmospheric forcing data. This study indicates that the SSM of bare soil surfaces can be estimated with high accuracy if the constant term is obtained or estimated accurately. |
收录类别 | EI |
会议主办者 | Soochow University; Zhejiang University; The Electromagnetics Academy at Zhejiang University; Cent. Opt. Electromagn. Res. Zhejiang Univ.; The Electromagnetics Academy; Suzhou Association for Science and Technology |
会议录 | Progress in Electromagnetics Research Symposium
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会议录出版者 | Electromagnetics Academy |
会议录出版地 | 77 Massachusetts Avenue, Room 26-305, Cambridge, MA 02139, United States |
语种 | 英语 |
ISSN号 | 1559-9450 |
ISBN号 | 9781934142189 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/21936] ![]() |
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 | Zhao, Wei,Li, Zhao-Liang. Surface soil moisture retrieval from the temporal evolution of surface temperature for bare surface[C]. 见:Progress in Electromagnetics Research Symposium, PIERS 2011 Suzhou. Suzhou, China. September 12, 2011 - September 16, 2011. |
入库方式: OAI收割
来源:地理科学与资源研究所
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