Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2017GL075656 |
The Error Structure of the SMAP Single and Dual Channel Soil Moisture Retrievals | |
Dong, Jianzhi1; Crow, Wade T.1; Bindlish, Rajat2 | |
2018-01-28 | |
发表期刊 | GEOPHYSICAL RESEARCH LETTERS
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ISSN | 0094-8276 |
EISSN | 1944-8007 |
出版年 | 2018 |
卷号 | 45期号:2页码:758-765 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | Knowledge of the temporal error structure for remotely sensed surface soil moisture retrievals can improve our ability to exploit them for hydrologic and climate studies. This study employs a triple collocation analysis to investigate both the total variance and temporal autocorrelation of errors in Soil Moisture Active and Passive (SMAP) products generated from two separate soil moisture retrieval algorithms, the vertically polarized brightness temperature-based single-channel algorithm (SCA-V, the current baseline SMAP algorithm) and the dual-channel algorithm (DCA). A key assumption made in SCA-V is that real-time vegetation opacity can be accurately captured using only a climatology for vegetation opacity. Results demonstrate that while SCA-V generally outperforms DCA, SCA-V can produce larger total errors when this assumption is significantly violated by interannual variability in vegetation health and biomass. Furthermore, larger autocorrelated errors in SCA-V retrievals are found in areas with relatively large vegetation opacity deviations from climatological expectations. This implies that a significant portion of the autocorrelated error in SCA-V is attributable to the violation of its vegetation opacity climatology assumption and suggests that utilizing a real (as opposed to climatological) vegetation opacity time series in the SCA-V algorithm would reduce the magnitude of autocorrelated soil moisture retrieval errors. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000425514300032 |
WOS关键词 | SURFACE ; MISSION |
WOS类目 | Geosciences, Multidisciplinary |
WOS研究方向 | Geology |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/26874 |
专题 | 气候变化 |
作者单位 | 1.USDA, Hydrol & Remote Sensing Lab, Beltsville, MD 20705 USA; 2.NASA, Goddard Space Flight Ctr, Greenbelt, MD USA |
推荐引用方式 GB/T 7714 | Dong, Jianzhi,Crow, Wade T.,Bindlish, Rajat. The Error Structure of the SMAP Single and Dual Channel Soil Moisture Retrievals[J]. GEOPHYSICAL RESEARCH LETTERS,2018,45(2):758-765. |
APA | Dong, Jianzhi,Crow, Wade T.,&Bindlish, Rajat.(2018).The Error Structure of the SMAP Single and Dual Channel Soil Moisture Retrievals.GEOPHYSICAL RESEARCH LETTERS,45(2),758-765. |
MLA | Dong, Jianzhi,et al."The Error Structure of the SMAP Single and Dual Channel Soil Moisture Retrievals".GEOPHYSICAL RESEARCH LETTERS 45.2(2018):758-765. |
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