Failures in Detecting Volcanic Ash from a Satellite-Based Technique

Simpson, Joseph; Hufford, Gary L.; Pieri, David C.; Berg, Jared S.

doi:10.1016/s0034-4257(99)00103-0

Cited by 101 publications

(78 citation statements)

References 21 publications

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“…The algorithm uses 11 µm and 12 µm brightness temperatures, to take advantage of the opposite absorption characteristics of water vapor or water/ice clouds and volcanic ash clouds at these wavelengths. Known limitations of the technique are summarized by , Simpson et al (2000) and . For the cases presented here, the most relevant limitations are:…”

Section: Analysis Of Ir and Visible Imagerymentioning

confidence: 99%

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An evaluation of volcanic cloud detection techniques during recent significant eruptions in the western ‘Ring of Fire’

Tupper

Carn

Davey

et al. 2004

Remote Sensing of Environment

108

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We examined recent volcanic cloud events in the Western Pacific and Indonesian area, to validate the performance of remote sensing techniques used to support the International Airways Volcano Watch (IAVW). Five events were considered, during which eruptions from eight volcanoes injected ash into the upper troposphere or lower stratosphere. For one of the eruptions, at Miyakejima, Japan, at least five aircraft encountered volcanic ash clouds, and the cost to three operators alone exceeded US $12,000,000 in aircraft repairs, diversions, and lost operating time. We performed 'reverse' absorption and 'pattern analysis' using GMS-5/VISSR, MODIS and AVHRR data, and we examined TOMS SO 2 and Aerosol Index data, surface-based observations, pilot reports, and dispersion model output. Our results verify that the introduction of 'reverse' absorption using the geostationary GMS-5 platform significantly enhanced our capacity to monitor volcanic ash clouds in the region. In one case, we tracked an eruption cloud for approximately 80 hours. The primary impediment to remote monitoring is the presence of overlying cloud, or substantial amounts of ice within the volcanic clouds. TOMS data showed success in identifying volcanic clouds during these conditions, but was limited by the infrequency of observations. More effective future operation of the IAVW relies on developing complementary methods of volcanic cloud remote sensing, and greatly increasing the amount and quality of available surface and air observations, including observations of precursor activity. An understanding of the likely future limitations of remote sensing techniques will aid in the refining of IAVW procedures.

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Section: Analysis Of Ir and Visible Imagerymentioning

confidence: 99%

“…On this basis criticized the methodology employed by Simpson et al (2000), who defined a reverse absorption failure rate based on cloud identified using pattern analysis. In practice, pattern analysis and reverse absorption are used together to produce operational analyses.…”

Section: Iv)mentioning

confidence: 99%

An evaluation of volcanic cloud detection techniques during recent significant eruptions in the western ‘Ring of Fire’

Tupper

Carn

Davey

et al. 2004

Remote Sensing of Environment

108

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“…It is improved and applied in several studies (e.g. Barton et al, 1992;Wen and Rose, 1994;Prata and Grant, 2001) and its limitations and challenges are discussed by Simpson et al (2000) and . For hyper-spectral instruments new methods are reported by Clarisse et al (2010) and Gangale et al (2010), which also rely on the characteristic spectral behaviour of volcanic ash and ice that is exploited by Prata (1989b).…”

Section: Introductionmentioning

confidence: 99%

Volcanic ash detection with infrared limb sounding: MIPAS observations and radiative transfer simulations

Grießbach¹,

Hoffmann²,

Spang³

et al. 2014

Atmos. Meas. Tech.

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Abstract. Small volcanic ash particles have long residence times in the troposphere and the stratosphere so that they have significant impact on the Earth's radiative budget and consequently affect climate. For global long-term observations of volcanic aerosol, infrared limb measurements provide excellent coverage, sensitivity to thin aerosol layers, and altitude information. The optical properties of volcanic ash and ice particles, derived from micro-physical properties, have opposing spectral gradients between 700 and 960 cm −1 for small particle sizes. Radiative transfer simulations that account for single scattering showed that the opposing spectral gradients directly transfer to infrared limb spectra. Indeed, we found the characteristic spectral signature, expected for volcanic ash, in measurements of the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) after the eruption of the Chilean volcano Puyehue-Cordón Caulle in June 2011. From these measurements we derived an ash detection threshold function. The empirical ash detection threshold was confirmed in an extensive simulations study covering a wide range of atmospheric conditions, particle sizes and particle concentrations for ice, volcanic ash and sulfate aerosol. From the simulations we derived the upper detectable effective radius of 3.5 µm and the detectable extinction coefficient range of 5 × 10 −3 to 1 × 10 −1 km −1 . We also showed that this method is only sensitive to volcanic ash particles, but not to volcanic sulfate aerosol. This volcanic ash detection method for infrared limb measurements is a fast and reliable method and provides complementary information to existing satellite aerosol products.

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“…그리고 인공위성자료는 화 산재 구름에 대한 정량적, 정성적을 정량적, 정성적 탐지 및 평가하는데 사용되고 있다 (Ellord et al, 2003;Francis et al, 2012). 1980년대 후반에 인공위성 탑재 센서의 적 외선 영역의 채널 관측 자료를 이용하여 화산재를 탐지 하는 방법이 처음으로 제안되었다 (Prata, 1989a) 적외 온도차를 이용한 화산재 탐지 기법의 단점은 Simpson et al,(2000) 과 Prata et al,(2001) HYSPLIT 모델링 결과의 검증을 위하여 알라스카의 Spurr 화산(1992년 폭발, 북위 61.30˚, 서경 152.25˚), 인 도네시아 Rinjani 화산(1994년 폭발, 남위 8.42˚, 동경 116.47˚), 캄차카 반도의 Klyuchevskoi 화산(1994년 폭발, 남위 56.06˚, 동경 160.64˚)의 사례에 대하여 비교하였으 며 만족할 만한 수준의 모델링 결과를 나타내었다 (Mastin et al, 2009;Webley et al, 2009;Stunder et al, 2007;Tupper et al, 2006;Heffter, 1996;Heffter and Stunder, 1993;Heffter et al, 1990). Sawamura et al(2012) (Kalnay et al, 1996), 그리고…”

Section: 화산재 입자는 인간의 호흡기 질환을 일으키기도 하unclassified

Monitoring of the Volcanic Ash Using Satellite Observation and Trajectory Analysis Model

Lee¹,

Jang²

2014

Korean Journal of Remote Sensing

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: Satellite remote sensing data have been valuable tool for volcanic ash monitoring. In this study, we present the results of application of satellite remote sensing data for monitoring of volcanic ash for three major volcanic eruption cases (2008 Chaitén, 2010 Eyjafjallajökull, and 2011. Volcanic ash detection products based on the Moderate Resolution Imaging Spectroradiometer (MODIS) observation data using infrared brightness temperature difference technique were compared to the forward air mass trajectory analysis by the HYbrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model. There was good correlation between MODIS volcanic ash image and trajectory lines after the volcanic eruptions, which support the feasibility of using the integration of satellite observed and model derived data for volcanic ash forecasting.

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Failures in Detecting Volcanic Ash from a Satellite-Based Technique

Cited by 101 publications

References 21 publications

An evaluation of volcanic cloud detection techniques during recent significant eruptions in the western ‘Ring of Fire’

An evaluation of volcanic cloud detection techniques during recent significant eruptions in the western ‘Ring of Fire’

Volcanic ash detection with infrared limb sounding: MIPAS observations and radiative transfer simulations

Monitoring of the Volcanic Ash Using Satellite Observation and Trajectory Analysis Model

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