Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2018JD030045 |
Characteristics of Satellite Sampling Errors in Total Precipitable Water from SSMIS, HIRS, and COSMIC Observations | |
Xue, Yunheng1,2,3; Li, Jun2; Menzel, W. Paul2; Borbas, Eva2; Ho, Shu-Peng4; Li, Zhenglong2; Li, Jinlong2 | |
2019-07-16 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
![]() |
ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2019 |
卷号 | 124期号:13页码:6966-6981 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; USA |
英文摘要 | This study quantifies the characteristics of different satellite sampling errors in the time series of total precipitable water (TPW) derived from Constellation System for Meteorology, Ionosphere, and Climate (COSMIC) radio occultation, Special Sensor Microwave Imager Sounder (SSMIS), and High-resolution Infrared Radiation Sounder (HIRS) during the overlapping time period of January 2007 to December 2013. Gap-free data from ERA5 reanalysis of the European Centre for Medium Range Weather Forecasts are used as reference values. All TPW data are first compared with microwave radiometer measurements from Atmospheric Radiation Measurement Program. In general, they are consistent, with all their regression coefficients being greater than 0.77. Discrepancies in global TPW time series can be mainly attributed to the inherent sampling errors of these three different satellite remote sensing systems. COSMIC has small sampling errors in higher latitudes. But it has scarce samples in tropical regions, which leads to a large sampling error of 3.00 mm in the estimation of global TPW. Sampling in SSMIS is more uniform with mean errors less than 0.5 mm. But the sampling is only over the ocean. Sampling errors in HIRS are larger in tropics and north subtropical areas due to clear sky biased sampling. Moreover, it is significantly correlated with the variability of TPW, whereas the sampling error in COSMIC is less influenced by TPW. Sampling errors will be reduced and more consistent global TPW time series will be derived by simply combining the multisensor samplings together. |
英文关键词 | TPW variation remote sensing sampling error |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000477580200020 |
WOS关键词 | GPS RADIO OCCULTATION ; CLEAR-SKY ; GLOBAL ENERGY ; VAPOR ; CLIMATE ; WEATHER ; RETRIEVALS ; ATMOSPHERE ; MOISTURE ; TRENDS |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
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/185130 |
专题 | 气候变化 |
作者单位 | 1.Chinese Acad Sci, Inst Atmospher Phys, Beijing, Peoples R China; 2.Univ Wisconsin, Cooperat Inst Meteorol Satellite Studies, Madison, WI 53706 USA; 3.Univ Chinese Acad Sci, Beijing, Peoples R China; 4.NOAA, Ctr Satellite Applicat & Res, College Pk, MD USA |
推荐引用方式 GB/T 7714 | Xue, Yunheng,Li, Jun,Menzel, W. Paul,et al. Characteristics of Satellite Sampling Errors in Total Precipitable Water from SSMIS, HIRS, and COSMIC Observations[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2019,124(13):6966-6981. |
APA | Xue, Yunheng.,Li, Jun.,Menzel, W. Paul.,Borbas, Eva.,Ho, Shu-Peng.,...&Li, Jinlong.(2019).Characteristics of Satellite Sampling Errors in Total Precipitable Water from SSMIS, HIRS, and COSMIC Observations.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,124(13),6966-6981. |
MLA | Xue, Yunheng,et al."Characteristics of Satellite Sampling Errors in Total Precipitable Water from SSMIS, HIRS, and COSMIC Observations".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 124.13(2019):6966-6981. |
条目包含的文件 | 条目无相关文件。 |
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