DOI: 10.1002/jgrd.50173
论文题名: Automated retrievals of volcanic ash and dust cloud properties from upwelling infrared measurements
作者: Pavolonis M.J. ; Heidinger A.K. ; Sieglaff J.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 21698996
出版年: 2013
卷: 118, 期: 3 起始页码: 1436
结束页码: 1458
语种: 英语
英文关键词: ash clouds
; dust clouds
; Eyjafjallajökull
; GOES-R
; remote sensing
Scopus关键词: Algorithms
; Atmospheric temperature
; Dust
; Electromagnetic wave emission
; Kaolinite
; Optical radar
; Pixels
; Remote sensing
; Volcanoes
; Weather satellites
; Ash clouds
; Atmospheric water vapor
; Dust clouds
; Generation geostationary operational environmental satellites
; GOES-R
; Infrared measurements
; Operational algorithms
; Spinning Enhanced Visible and Infrared Imager
; Uncertainty analysis
; automation
; dust
; estimation method
; global perspective
; infrared imagery
; lidar
; measurement method
; Meteosat
; satellite imagery
; upwelling
; volcanic ash
; Leeward Islands [Lesser Antilles]
; Montserrat
; Soufriere Hills Volcano
英文摘要: A fully automated, globally applicable algorithm to retrieve ash and dust cloud properties from infrared satellite measurements is presented. The algorithm, which will serve as the official operational algorithm of the next generation Geostationary Operational Environmental Satellite (GOES-R), utilizes an optimal estimation framework that allows uncertainties in the measurements and forward model to be taken into account and uncertainty estimates for each of the retrieved parameters to be determined. The retrieval approach is globally applicable because background atmospheric water vapor, surface temperature, and surface emissivity are explicitly accounted for on a pixel-by-pixel basis. The retrieval is demonstrated using the Spinning Enhanced Visible and Infrared Imager (SEVIRI) on-board the Second Generation Meteosat. Ash clouds from the 2010 eruption of Eyjafjallajökull in Iceland and the 2010 eruption of Soufriere Hills in the eastern Caribbean and a Saharan dust cloud were analyzed, and the accuracy of the retrieval was evaluated using spaceborne lidar measurements. The validation analysis shows that the retrieved ash/dust cloud height, cloud emissivity, and effective particle radius generally agrees well with lidar measurements, especially when volcanic ash clouds are assumed to be composed of andesite and dust clouds composed of kaolinite. ©2013. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/63948
Appears in Collections: 影响、适应和脆弱性 气候减缓与适应
There are no files associated with this item.
作者单位: National Oceanic and Atmospheric Administration Center for Satellite Applications and Research, 1225 W. Dayton St., Madison, WI 53706, United States; Cooperative Institute for Meteorological Satellite Studies, Madison, WI, United States
Recommended Citation:
Pavolonis M.J.,Heidinger A.K.,Sieglaff J.. Automated retrievals of volcanic ash and dust cloud properties from upwelling infrared measurements[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(3)