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DOI | 10.1016/j.rse.2020.111896 |
Recent declines in global water vapor from MODIS products: Artifact or real trend? | |
Wang R.; Liu Y. | |
发表日期 | 2020 |
ISSN | 00344257 |
卷号 | 247 |
英文摘要 | Atmospheric water vapor plays a key role in the global water and energy cycles. Accurate estimation of water vapor and consistent representation of its spatial-temporal variation are critical to climate analysis and model validation. This study used ground observational data from global radiosonde and sunphotometer networks to evaluate MODIS (MODerate-resolution Imaging Spectroradiometer) precipitable water vapor (PWV) products for 2000–2017. The products included the thermal-infrared (TIR) (Collection 6, C006) and its updated version (Collection 061, C061), and near-infrared (NIR) products (C061). Our results demonstrated that compared to its earlier version subject to sensor crosstalk problem, the C061_TIR data showed improved accuracy in terms of bias, standard deviation, mean absolute error, root mean square error, and coefficient of determination, regression slope and intercept. Among the PWV products, C061_NIR data achieved the best overall performance in accuracy evaluation. The C061_NIR revealed the PWV had a multi-year average of 2.50 ± 0.08 cm for the globe, 2.03 ± 0.06 cm for continents, and 2.70 ± 0.09 cm for oceans in 2000–2017. The PWV values yielded an increasing rate of 0.015 cm/year for the globe, 0.010 cm/year for continents, and 0.017 cm/year for oceans. Nearly 98.95% of the globe showed an increasing trend, 80.74% of statistical significance, mainly distributed within and around the tropical zones. The findings should be valuable for understanding of global water and energy cycles. © 2020 Elsevier Inc. |
英文关键词 | Climate change; Global precipitable water vapor; MODIS; Radiosonde; Sunphotometer |
语种 | 英语 |
scopus关键词 | Climate models; Infrared devices; Mean square error; Radiometers; Tropics; Accuracy evaluation; Atmospheric water vapor; Coefficient of determination; Mean absolute error; Moderate resolution imaging spectroradiometer; Precipitable water vapor; Root mean square errors; Statistical significance; Water vapor; climate modeling; data interpretation; energy balance; error correction; global perspective; hydrological cycle; MODIS; radiosonde; satellite altimetry; trend analysis; water vapor |
来源期刊 | Remote Sensing of Environment
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/179270 |
作者单位 | Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, No.73 East Beijing Road, Nanjing, 210008, China; University of Chinese Academy of Sciences, No.19 Yuquan Road, Beijing, 100049, China |
推荐引用方式 GB/T 7714 | Wang R.,Liu Y.. Recent declines in global water vapor from MODIS products: Artifact or real trend?[J],2020,247. |
APA | Wang R.,&Liu Y..(2020).Recent declines in global water vapor from MODIS products: Artifact or real trend?.Remote Sensing of Environment,247. |
MLA | Wang R.,et al."Recent declines in global water vapor from MODIS products: Artifact or real trend?".Remote Sensing of Environment 247(2020). |
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