Smoke plume characteristics over Greece using space-based multiangle imaging

Estimate the height of the smoke plume from satellite imagery

Оптика атмосферы и океана ◽

10.15372/aoo20200609 ◽

2020 ◽

Keyword(s):

Satellite Imagery ◽

Smoke Plume

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Important parameters for smoke plume rise simulation with Daysmoke

Atmospheric Pollution Research ◽

10.5094/apr.2010.032 ◽

2010 ◽

Vol 1 (4) ◽

pp. 250-259 ◽

Cited By ~ 21

Author(s):

Yongqiang Liu ◽

Gary L. Achtemeier ◽

Scott L. Goodrick ◽

William A. Jackson

Keyword(s):

Plume Rise ◽

Smoke Plume

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Global and regional evaluation of over-land spectral aerosol optical depth retrievals from SeaWiFS

Atmospheric Measurement Techniques Discussions ◽

10.5194/amtd-5-2169-2012 ◽

2012 ◽

Vol 5 (2) ◽

pp. 2169-2220 ◽

Cited By ~ 7

Author(s):

A. M. Sayer ◽

N. C. Hsu ◽

C. Bettenhausen ◽

M.-J. Jeong ◽

B. N. Holben ◽

...

Keyword(s):

North America ◽

Aerosol Optical Depth ◽

Optical Depth ◽

Field Of View ◽

Wide Field ◽

Imaging Spectrometer ◽

Wide Field Of View ◽

Moderate Resolution ◽

Resolution Imaging ◽

Multiangle Imaging

Abstract. This study evaluates a new spectral aerosol optical depth (AOD) dataset derived from Sea-viewing Wide Field-of-view Sensor (SeaWiFS) measurements over land. First, the data are validated against Aerosol Robotic Network (AERONET) direct-sun AOD measurements, and found to compare well on a global basis. If only data with the highest quality flag are used, the correlation is 0.86 and 72% of matchups fall within an expected absolute uncertainty of 0.05 + 20% (for the wavelength of 550 nm). The quality is similar at other wavelengths and stable over the 13-yr (1997–2010) mission length. Performance tends to be better over vegetated, low-lying terrain with typical AOD of 0.3 or less, such as found over much of North America and Eurasia. Performance tends to be poorer for low-AOD conditions near backscattering geometries, where SeaWiFS overestimates AOD, or optically-thick cases of absorbing aerosol, where SeaWiFS tends to underestimate AOD. Second, the SeaWiFS data are compared with midvisible AOD derived from the Moderate Resolution Imaging Spectrometer (MODIS) and Multiangle Imaging Spectroradiometer (MISR). All instruments show similar spatial and seasonal distributions of AOD, although there are regional and seasonal offsets between them. At locations where AERONET data are available, these offsets are largely consistent with the known validation characteristics of each dataset. With the results of this study in mind, the SeaWiFS over-land AOD record is suitable for quantitative scientific use.

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Photogrammetric and Photometric Investigation of a Smoke Plume Viewed from Space

Journal of Applied Meteorology ◽

10.1175/1520-0450(1971)010<1122:papioa>2.0.co;2 ◽

1971 ◽

Vol 10 (6) ◽

pp. 1122-1131 ◽

Cited By ~ 3

Author(s):

Darryl Randerson ◽

Joe G. Garcia ◽

Victor S. Whitehead

Keyword(s):

Smoke Plume ◽

Photometric Investigation

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Review and Validation of the Current Smoke Plume Entrainment Models for Large-Volume Buildings

Fire Technology ◽

10.1007/s10694-018-0801-4 ◽

2018 ◽

Vol 55 (3) ◽

pp. 789-816 ◽

Cited By ~ 4

Author(s):

Gabriele Vigne ◽

Cándido Gutierrez-Montes ◽

Alexis Cantizano ◽

Wojciech Węgrzyński ◽

Guillermo Rein

Keyword(s):

Large Volume ◽

Smoke Plume

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Tropical biomass burning smoke plume size, shape, reflectance, and age based on 2001–2009 MISR imagery of Borneo

Atmospheric Chemistry and Physics ◽

10.5194/acp-12-3437-2012 ◽

2012 ◽

Vol 12 (7) ◽

pp. 3437-3454 ◽

Cited By ~ 9

Author(s):

C. S. Zender ◽

A. G. Krolewski ◽

M. G. Tosca ◽

J. T. Randerson

Keyword(s):

Optical Properties ◽

Tropical Forests ◽

Optical Depth ◽

Biomass Burning ◽

Single Scattering ◽

Particle Dispersion ◽

Hygroscopic Growth ◽

Smoke Plume ◽

Fire Emissions ◽

Plume Geometry

Abstract. Land clearing for crops, plantations and grazing results in anthropogenic burning of tropical forests and peatlands in Indonesia, where images of fire-generated aerosol plumes have been captured by the Multi-angle Imaging SpectroRadiometer (MISR) since 2001. Here we analyze the size, shape, optical properties, and age of distinct fire-generated plumes in Borneo from 2001–2009. The local MISR overpass at 10:30 a.m. misses the afternoon peak of Borneo fire emissions, and may preferentially sample longer plumes from persistent fires burning overnight. Typically the smoke flows with the prevailing southeasterly surface winds at 3–4 m s−1, and forms ovoid plumes whose mean length, height, and cross-plume width are 41 km, 708 m, and 27% of the plume length, respectively. 50% of these plumes have length between 24 and 50 km, height between 523 and 993 m and width between 18% and 30% of plume length. Length and cross-plume width are lognormally distributed, while height follows a normal distribution. Borneo smoke plume heights are similar to previously reported plume heights, yet Borneo plumes are on average nearly three times longer than previously studied plumes. This could be due to sampling or to more persistent fires and greater fuel loads in peatlands than in other tropical forests. Plume area (median 169 km2, with 25th and 75th percentiles at 99 km2 and 304 km2, respectively) varies exponentially with length, though for most plumes a linear relation provides a good approximation. The MISR-estimated plume optical properties involve greater uncertainties than the geometric properties, and show patterns consistent with smoke aging. Optical depth increases by 15–25% in the down-plume direction, consistent with hygroscopic growth and nucleation overwhelming the effects of particle dispersion. Both particle single-scattering albedo and top-of-atmosphere reflectance peak about halfway down-plume, at values about 3% and 10% greater than at the origin, respectively. The initially oblong plumes become brighter and more circular with time, increasingly resembling smoke clouds. Wind speed does not explain a significant fraction of the variation in plume geometry. We provide a parameterization of plume shape that can help atmospheric models estimate the effects of plumes on weather, climate, and air quality. Plume age, the age of smoke furthest down-plume, is lognormally distributed with a median of 2.8 h (25th and 75th percentiles at 1.3 h and 4.0 h), different from the median ages reported in other studies. Intercomparison of our results with previous studies shows that the shape, height, optical depth, and lifetime characteristics reported for tropical biomass burning plumes on three continents are dissimilar and distinct from the same characteristics of non-tropical wildfire plumes.

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