Geostatistical Analysis of CH4 Columns over Monsoon Asia Using Five Years of GOSAT Observations
文献类型：期刊论文
| 作者 | Liu, Min1; Lei, Liping1; Liu, Da1; Zeng, Zhao-Cheng1 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2016 |
| 卷号 | 8期号:5 |
| 关键词 | SUPPORT VECTOR MACHINES WAVE-FORM LIDAR LASER-SCANNING DATA SPECIES CLASSIFICATION MULTISPECTRAL IMAGERY SPATIAL SCALES FOREST BIOMASS INTENSITY DATA URBAN AREA VEGETATION |
| 通讯作者 | Zeng, ZC (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China. ; Zeng, ZC (reprint author), Chinese Univ Hong Kong, Inst Space & Earth Informat Sci, Shatin 999077, Hong Kong, Peoples R China. |
| 英文摘要 | The aim of this study is to evaluate the Greenhouse gases Observation SATellite (GOSAT) column-averaged CH4 dry air mole fraction (XCH4) data by using geostatistical analysis and conducting comparisons with model simulations and surface emissions. Firstly, we propose the use of a data-driven mapping approach based on spatio-temporal geostatistics to generate a regular and gridded mapping dataset of XCH4 over Monsoon Asia using five years of XCH4 retrievals by GOSAT from June 2009 to May 2014. The prediction accuracy of the mapping approach is assessed by using cross-validation, which results in a significantly high correlation of 0.91 and a small mean absolute prediction error of 8.77 ppb between the observed dataset and the prediction dataset. Secondly, with the mapping data, we investigate the spatial and temporal variations of XCH4 over Monsoon Asia and compare the results with previous studies on ground and other satellite observations. Thirdly, we compare the mapping XCH4 with model simulations from CarbonTracker-CH4 and find their spatial patterns very consistent, but GOSAT observations are more able to capture the local variability of XCH4. Finally, by correlating the mapping data with surface emission inventory, we find the geographical distribution of high CH4 values correspond well with strong emissions as indicated in the inventory map. Over the five-year period, the two datasets show a significant high correlation coefficient (0.80), indicating the dominant role of surface emissions in determining the distribution of XCH4 concentration in this region and suggesting a promising statistical way of constraining surface CH4 sources and sinks, which is simple and easy to implement using satellite observations over a long term period. |
| 学科主题 | Remote Sensing |
| 类目[WOS] | Remote Sensing |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000378406400005 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39228]  |
| 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.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Univ Hong Kong, Inst Space & Earth Informat Sci, Shatin 999077, Hong Kong, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Min,Lei, Liping,Liu, Da,et al. Geostatistical Analysis of CH4 Columns over Monsoon Asia Using Five Years of GOSAT Observations[J]. REMOTE SENSING,2016,8(5). |
| APA | Liu, Min,Lei, Liping,Liu, Da,&Zeng, Zhao-Cheng.(2016).Geostatistical Analysis of CH4 Columns over Monsoon Asia Using Five Years of GOSAT Observations.REMOTE SENSING,8(5). |
| MLA | Liu, Min,et al."Geostatistical Analysis of CH4 Columns over Monsoon Asia Using Five Years of GOSAT Observations".REMOTE SENSING 8.5(2016). |
入库方式： OAI收割
来源：遥感与数字地球研究所
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