气候变化领域集成服务门户(CCPortal): Interpreting the volcanological processes of Kamchatka, based on multi-sensor satellite observations

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DOI	10.1016/j.rse.2019.111585
	Interpreting the volcanological processes of Kamchatka, based on multi-sensor satellite observations
	Flower V.J.B.; Kahn R.A.
发表日期	2020
ISSN	00344257
卷号	237
英文摘要	Volcanoes are complex environmental systems that pose challenges to scientific study, due to their inherently hazardous nature and in many cases, remote locations. Satellite-based remote sensing provides a useful tool for assessing both ongoing activity and retrospective eruptions. This paper represents an initial application of a multi-sensor approach, in part to demonstrate its strengths and limitations in a single volcanic region that is fairly well monitored in situ. We utilize data from five NASA satellite-based instruments, having up to 18 years of global observations, to conduct in-depth investigations of eight volcanoes on the Kamchatka Peninsula (Russia) that were active between 2000 and 2018. From 169 eruptive plumes observed, we performed detailed plume-dynamics analysis in eighty-two cases for which sufficiently favorable observations were obtained. Plume heights from MISR and CALIOP, microphysical particle properties (e.g. fine ash, sulfates) from MISR, thermal anomalies generated by lava features from MODIS, and sulfur dioxide (SO2) concentrations from OMI and OMPS are all considered. Evidence of eruption evolution over months-to-years was identified at Shiveluch, Kliuchevskoi, Kizimen, Karymsky, Zhupanovsky, Koryaksky and Kambalny. In cases with extensive data coverage (Kliuchevskoi, Kizimen, Karymsky and Zhupanovsky), underlying subsurface dynamics is inferred, corroborated where possible with detailed ground-based data records. The 1.1 km resolution of the particle property retrievals from the Multi-angle Imaging SpectroRadiometer (MISR) instrument capture downwind plume-particle evolution in many cases. Comparison of changes in aerosol optical depth (AOD), retrieved effective particle size (REPS) and retrieved effective particle absorption (REPA) map to six plume transport regimes, indicating varying degrees of downwind particle aggregation, deposition, and/or new particle formation. Distinct meteorological conditions are identified as likely driving these evolutionary processes, most notably the atmospheric static stability and wind shear at plume altitude. This approach can be applied to volcanic plumes globally, including those for which surface monitoring is limited or entirely absent. © 2019 Elsevier Inc.
英文关键词	Atmospheric dispersion dynamics; Eruption dynamics; Kamchatka; MISR; MODIS; OMI; Particle microphysical properties; Plume evolution; Plume height; Remote sensing; Volcano
语种	英语
scopus关键词	Agglomeration; Dynamics; NASA; Particle size; Radiometers; Remote sensing; Satellites; Sulfur dioxide; Volcanoes; Atmospheric dispersion; Kamchatka; Microphysical property; MISR; MODIS; Plume evolution; Plume heights; Particle size analysis; atmospheric dynamics; atmospheric plume; cloud microphysics; dispersion; instrumentation; MISR; natural hazard; observational method; optical depth; particle size; remote sensing; satellite sensor; volcanic eruption; volcano; wind shear; Kamchatka; Kamchatka Peninsula; Russian Federation
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179496
作者单位	Climate and Radiation Laboratory, Earth Science Division, NASA Goddard Space Flight Center, Greenbelt, MD 20771, United States; Universities Space Research Association, 7178 Columbia Gateway Drive, Columbia, MD 21046, United States
推荐引用方式 GB/T 7714	Flower V.J.B.,Kahn R.A.. Interpreting the volcanological processes of Kamchatka, based on multi-sensor satellite observations[J],2020,237.
APA	Flower V.J.B.,&Kahn R.A..(2020).Interpreting the volcanological processes of Kamchatka, based on multi-sensor satellite observations.Remote Sensing of Environment,237.
MLA	Flower V.J.B.,et al."Interpreting the volcanological processes of Kamchatka, based on multi-sensor satellite observations".Remote Sensing of Environment 237(2020).