Detection and Inventory of Intense Pyroconvection in Western North America using GOES-15 Daytime Infrared DataSource: Journal of Applied Meteorology and Climatology:;2016:;volume( 056 ):;issue: 002::page 471Author:Peterson, David A.
,
Fromm, Michael D.
,
Solbrig, Jeremy E.
,
Hyer, Edward J.
,
Surratt, Melinda L.
,
Campbell, James R.
DOI: 10.1175/JAMC-D-16-0226.1Publisher: American Meteorological Society
Abstract: ntense wildfires occasionally generate fire-triggered storms, known as pyrocumulonimbus (pyroCb), that can inject smoke particles and trace gases into the upper troposphere and lower stratosphere (UTLS). This study develops the first pyroCb detection algorithm using three infrared (IR) channels from the imager on board GOES-West (GOES-15). The algorithm first identifies deep convection near active fires via the longwave IR brightness temperature, distinguishing between midtropospheric and UTLS injections. During daytime, unique pyroCb microphysical properties are characterized by a medium-wave brightness temperature that is significantly larger than that in the longwave, allowing for separation of pyroCb from other deep convection. A cloud-opacity test reduces potential false detections. Application of this algorithm to 88 intense wildfires observed during the 2013 fire season in western North America resulted in successful detection of individual intense events, pyroCb embedded within traditional convection, and multiple, short-lived pulses of pyroconvective activity. Comparisons with a community inventory indicate that this algorithm captures the majority of pyroCb. The primary limitation is that pyroCb anvils can be small relative to GOES-West pixel size, especially in regions with large viewing angles. The algorithm is also sensitive to some false positives from traditional convection that either ingests smoke or exhibits extreme updraft velocities. A total of 26 pyroCb events are inventoried, including 31 individual pulses, all of which can inject smoke into the UTLS. Six of the inventoried intense pyroCb were not previously documented. Near-real-time application of this algorithm can be extended to other regions and to next-generation geostationary sensors, which offer significant advantages for pyroCb and fire detection.
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contributor author | Peterson, David A. | |
contributor author | Fromm, Michael D. | |
contributor author | Solbrig, Jeremy E. | |
contributor author | Hyer, Edward J. | |
contributor author | Surratt, Melinda L. | |
contributor author | Campbell, James R. | |
date accessioned | 2017-06-09T16:51:35Z | |
date available | 2017-06-09T16:51:35Z | |
date copyright | 2017/02/01 | |
date issued | 2016 | |
identifier issn | 1558-8424 | |
identifier other | ams-75412.pdf | |
identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4217746 | |
description abstract | ntense wildfires occasionally generate fire-triggered storms, known as pyrocumulonimbus (pyroCb), that can inject smoke particles and trace gases into the upper troposphere and lower stratosphere (UTLS). This study develops the first pyroCb detection algorithm using three infrared (IR) channels from the imager on board GOES-West (GOES-15). The algorithm first identifies deep convection near active fires via the longwave IR brightness temperature, distinguishing between midtropospheric and UTLS injections. During daytime, unique pyroCb microphysical properties are characterized by a medium-wave brightness temperature that is significantly larger than that in the longwave, allowing for separation of pyroCb from other deep convection. A cloud-opacity test reduces potential false detections. Application of this algorithm to 88 intense wildfires observed during the 2013 fire season in western North America resulted in successful detection of individual intense events, pyroCb embedded within traditional convection, and multiple, short-lived pulses of pyroconvective activity. Comparisons with a community inventory indicate that this algorithm captures the majority of pyroCb. The primary limitation is that pyroCb anvils can be small relative to GOES-West pixel size, especially in regions with large viewing angles. The algorithm is also sensitive to some false positives from traditional convection that either ingests smoke or exhibits extreme updraft velocities. A total of 26 pyroCb events are inventoried, including 31 individual pulses, all of which can inject smoke into the UTLS. Six of the inventoried intense pyroCb were not previously documented. Near-real-time application of this algorithm can be extended to other regions and to next-generation geostationary sensors, which offer significant advantages for pyroCb and fire detection. | |
publisher | American Meteorological Society | |
title | Detection and Inventory of Intense Pyroconvection in Western North America using GOES-15 Daytime Infrared Data | |
type | Journal Paper | |
journal volume | 56 | |
journal issue | 2 | |
journal title | Journal of Applied Meteorology and Climatology | |
identifier doi | 10.1175/JAMC-D-16-0226.1 | |
journal fristpage | 471 | |
journal lastpage | 493 | |
tree | Journal of Applied Meteorology and Climatology:;2016:;volume( 056 ):;issue: 002 | |
contenttype | Fulltext |