气候变化领域集成服务门户(CCPortal): Global validation of columnar water vapor derived from EOS MODIS-MAIAC algorithm against the ground-based AERONET observations

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DOI	10.1016/j.atmosres.2019.04.005
	Global validation of columnar water vapor derived from EOS MODIS-MAIAC algorithm against the ground-based AERONET observations
	Martins V.S.; Lyapustin A.; Wang Y.; Giles D.M.; Smirnov A.; Slutsker I.; Korkin S.
发表日期	2019
ISSN	0169-8095
起始页码	181
结束页码	192
卷号	225
英文摘要	The water vapor is a relevant greenhouse gas in the Earth's climate system, and satellite products become one of the most effective way to characterize and monitor the columnar water vapor (CWV) content at global scale. Recently, a new product (MCD19) was released as part of MODIS (Moderate Resolution Imaging Spectroradiometer) Collection 6 (C6). This operational product from Multi-Angle Implementation for Atmospheric Correction (MAIAC) algorithm includes a high 1 km resolution CWV retrievals. This study presents the first global validation of MAIAC C6 CWV obtained from MODIS MCD19A2 product. This evaluation was performed using Aerosol Robotic Network (AERONET) observations at 265 sites (2000–2017). Overall, the results show a good agreement between MAIAC/AERONET CWV retrievals, with correlation coefficient higher than 0.95 and RMS error lower than 0.250 cm. The binned error analysis revealed an underestimation (~10%) of Aqua CWV retrievals with negative bias for CWV higher than 3.0 cm. In contrast, Terra CWV retrievals show a slope of regression close to unity and a low mean bias of 0.075 cm. While the accuracy is relatively similar between 1.0 and 5.0 cm for both sensor products, Terra dataset is more reliable for applications in humid tropical areas (>5.0 cm). The expected error was defined as ±15%, with >68% of retrievals falling within this envelope. However, the accuracy is regionally dependent, and lower error should be expected in some regions, such as South America and Oceania. Since MODIS instruments have exceeded their design lifetime, time series analysis was also presented for both sensor products. The temporal analysis revealed a systematic offset of global average between Terra and Aqua CWV records. We also found an upward trend (~0.2 cm/decade) in Terra CWV retrievals, while Aqua CWV retrievals remain stable over time. The sensor degradation influences the ability to detect climate signals, and this study indicates the need for revisiting calibration of the MODIS bands 17–19, mainly for Terra instrument, to assure the quality of the MODIS water vapor product. Finally, this study presents a comprehensive validation analysis of MAIAC CWV over land, raising the understanding of its overall quality. © 2019 The Authors
英文关键词	MAIAC water vapor; MCD19A2; MODIS Collection 6; Time series analysis
语种	英语
scopus关键词	Errors; Greenhouse gases; Harmonic analysis; Product design; Radiometers; Time series analysis; Tropics; Water vapor; Aerosol robotic networks; Atmospheric corrections; Columnar water vapors; Correlation coefficient; MCD19A2; Moderate resolution imaging spectroradiometer; MODIS Collection 6; Operational products; Quality control; AERONET; algorithm; calibration; degradation; error analysis; greenhouse gas; model validation; MODIS; observational method; robotics; time series analysis; water vapor
来源期刊	Atmospheric Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/162163
作者单位	Agricultural and Biosystems Engineering, Iowa State University, Ames, IA, United States; NASA Goddard Space Flight Center, Greenbelt, MD, United States; Joint Center for Earth systems Technology (JCET), University of Maryland-Baltimore County (UMBC), Baltimore, MD, United States; Science Systems and Applications, Inc., Lanham, MD, United States; Universities Space Research Association (USRA) GESTAR, Columbia, MD, United States
推荐引用方式 GB/T 7714	Martins V.S.,Lyapustin A.,Wang Y.,et al. Global validation of columnar water vapor derived from EOS MODIS-MAIAC algorithm against the ground-based AERONET observations[J],2019,225.
APA	Martins V.S..,Lyapustin A..,Wang Y..,Giles D.M..,Smirnov A..,...&Korkin S..(2019).Global validation of columnar water vapor derived from EOS MODIS-MAIAC algorithm against the ground-based AERONET observations.Atmospheric Research,225.
MLA	Martins V.S.,et al."Global validation of columnar water vapor derived from EOS MODIS-MAIAC algorithm against the ground-based AERONET observations".Atmospheric Research 225(2019).