Observationally based analysis of land-atmosphere coupling
文献类型：期刊论文
| 作者 | Catalano, Franco1; Alessandri, Andrea1; De Felice, Matteo1; Zhu, Zaichun1; Myneni, Ranga B.1 |
| 刊名 | Earth System Dynamics
 |
| 出版日期 | 2016 |
| 卷号 | 7期号:1页码:251-266 |
| 关键词 | SINGLE-SCATTERING PROPERTIES MULTIDIRECTIONAL POLARIZATION MEASUREMENTS INHOMOGENEOUS HEXAGONAL MONOCRYSTALS DISCRETE-DIPOLE APPROXIMATION ADEOS-POLDER MEASUREMENTS BOUNDARY-ELEMENT METHOD IN-SITU OBSERVATIONS TIME-DOMAIN METHOD LIGHT-SCATTERING OPTICAL-PROPERTIES |
| 通讯作者 | Catalano, Franco (franco.catalano@enea.it) |
| 英文摘要 | The temporal variance of soil moisture, vegetation and evapotranspiration over land has been recognized to be strongly connected to the temporal variance of precipitation. However, the feedbacks and couplings between these variables are still not well understood and quantified. Furthermore, soil moisture and vegetation processes are associated with a memory and therefore they may have important implications for predictability. In this study we apply a generalized linear method, specifically designed to assess the reciprocal forcing between connected fields, to the latest available observational data sets of global precipitation, evapotranspiration, vegetation and soil moisture content. For the first time a long global observational data set is used to investigate the spatial and temporal land variability and to characterize the relationships and feedbacks between land and precipitation. The variables considered show a significant coupling among each other. The analysis of the response of precipitation to soil moisture evidences a robust coupling between these two variables. In particular, the first two modes of variability in the precipitation forced by soil moisture appear to have a strong link with volcanic eruptions and El Niño-Southern Oscillation (ENSO) cycles, respectively, and these links are modulated by the effects of evapotranspiration and vegetation. It is suggested that vegetation state and soil moisture provide a biophysical memory of ENSO and major volcanic eruptions, revealed through delayed feedbacks on rainfall patterns. The third mode of variability reveals a trend very similar to the trend of the inter-hemispheric contrast in sea surface temperature (SST) and appears to be connected to greening/browning trends of vegetation over the last three decades. © 2016 Author(s). |
| 学科主题 | Geology |
| 类目[WOS] | Geosciences, Multidisciplinary |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:20161202131264 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39420]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1. Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Rome, Italy 2. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China 3. Center for Applications of Spatial Information Technologies in Public Health, Beijing, China 4. Department of Earth and Environment, Boston University, Boston 5.MA, United States |
| 推荐引用方式 GB/T 7714 | Catalano, Franco,Alessandri, Andrea,De Felice, Matteo,et al. Observationally based analysis of land-atmosphere coupling[J]. Earth System Dynamics,2016,7(1):251-266. |
| APA | Catalano, Franco,Alessandri, Andrea,De Felice, Matteo,Zhu, Zaichun,&Myneni, Ranga B..(2016).Observationally based analysis of land-atmosphere coupling.Earth System Dynamics,7(1),251-266. |
| MLA | Catalano, Franco,et al."Observationally based analysis of land-atmosphere coupling".Earth System Dynamics 7.1(2016):251-266. |
入库方式： OAI收割
来源：遥感与数字地球研究所
浏览0
下载0
收藏0
其他版本
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。