Quantification of fuel moisture effects on biomass consumed derived from fire radiative energy retrievals

Alistair M.S. Smith; Wade T. Tinkham; David P. Roy; Luigi Boschetti; Robert L. Kremens; Sanath S. Kumar; Aaron M. Sparks; Michael J. Falkowski

doi:10.1002/2013GL058232

Quantification of fuel moisture effects on biomass consumed derived from fire radiative energy retrievals

Alistair M.S. Smith, Wade T. Tinkham, David P. Roy, Luigi Boschetti, Robert L. Kremens, Sanath S. Kumar, Aaron M. Sparks, Michael J. Falkowski

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Abstract

Satellite based fire radiant energy retrievals are widely applied to assess biomass consumed and emissions at regional to global scales. A known potential source of uncertainty in biomass burning estimates arises from fuel moisture but this impact has not been quantified in previous studies. Controlled fire laboratory experiments are used in this study to examine the biomass consumed and the radiant energy release (Fire Radiative Energy, FRE, (MJ)) for western white pine needle fuels burned with water content (W_C, unitless) from 0.01 to 0.14. Results indicate a significant relationship: FRE per kilogram of fuel consumed = -5.32 W_C + 3.025 (r² = 0.83, n = 24, P < 0.001) and imply that not taking into account fuel moisture variations in the assumed relationship between FRE and fuel consumed can lead to systematic biases. A methodological framework to derive a revised formula that enables the estimation of biomass consumed from FRE, which explicitly takes into account fuel water content, is presented. Key Points FRE biomass consumed exhibits bias if fuel moisture is not considered A method accounting for fuel moisture is presented Dual-band thermometry FRP provides comparable measures to other FRP methods

Original language	English (US)
Pages (from-to)	6298-6302
Number of pages	5
Journal	Geophysical Research Letters
Volume	40
Issue number	23
DOIs	https://doi.org/10.1002/2013GL058232
State	Published - Dec 16 2013

Keywords

FRE
FRP
biomass burning
emissions
fire
remote sensing

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10.1002/2013GL058232

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title = "Quantification of fuel moisture effects on biomass consumed derived from fire radiative energy retrievals",

abstract = "Satellite based fire radiant energy retrievals are widely applied to assess biomass consumed and emissions at regional to global scales. A known potential source of uncertainty in biomass burning estimates arises from fuel moisture but this impact has not been quantified in previous studies. Controlled fire laboratory experiments are used in this study to examine the biomass consumed and the radiant energy release (Fire Radiative Energy, FRE, (MJ)) for western white pine needle fuels burned with water content (WC, unitless) from 0.01 to 0.14. Results indicate a significant relationship: FRE per kilogram of fuel consumed = -5.32 WC + 3.025 (r2 = 0.83, n = 24, P < 0.001) and imply that not taking into account fuel moisture variations in the assumed relationship between FRE and fuel consumed can lead to systematic biases. A methodological framework to derive a revised formula that enables the estimation of biomass consumed from FRE, which explicitly takes into account fuel water content, is presented. Key Points FRE biomass consumed exhibits bias if fuel moisture is not considered A method accounting for fuel moisture is presented Dual-band thermometry FRP provides comparable measures to other FRP methods",

keywords = "FRE, FRP, biomass burning, emissions, fire, remote sensing",

author = "Smith, {Alistair M.S.} and Tinkham, {Wade T.} and Roy, {David P.} and Luigi Boschetti and Kremens, {Robert L.} and Kumar, {Sanath S.} and Sparks, {Aaron M.} and Falkowski, {Michael J.}",

year = "2013",

month = dec,

day = "16",

doi = "10.1002/2013GL058232",

language = "English (US)",

volume = "40",

pages = "6298--6302",

journal = "Geophysical Research Letters",

issn = "0094-8276",

publisher = "American Geophysical Union",

number = "23",

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TY - JOUR

T1 - Quantification of fuel moisture effects on biomass consumed derived from fire radiative energy retrievals

AU - Smith, Alistair M.S.

AU - Tinkham, Wade T.

AU - Roy, David P.

AU - Boschetti, Luigi

AU - Kremens, Robert L.

AU - Kumar, Sanath S.

AU - Sparks, Aaron M.

AU - Falkowski, Michael J.

PY - 2013/12/16

Y1 - 2013/12/16

N2 - Satellite based fire radiant energy retrievals are widely applied to assess biomass consumed and emissions at regional to global scales. A known potential source of uncertainty in biomass burning estimates arises from fuel moisture but this impact has not been quantified in previous studies. Controlled fire laboratory experiments are used in this study to examine the biomass consumed and the radiant energy release (Fire Radiative Energy, FRE, (MJ)) for western white pine needle fuels burned with water content (WC, unitless) from 0.01 to 0.14. Results indicate a significant relationship: FRE per kilogram of fuel consumed = -5.32 WC + 3.025 (r2 = 0.83, n = 24, P < 0.001) and imply that not taking into account fuel moisture variations in the assumed relationship between FRE and fuel consumed can lead to systematic biases. A methodological framework to derive a revised formula that enables the estimation of biomass consumed from FRE, which explicitly takes into account fuel water content, is presented. Key Points FRE biomass consumed exhibits bias if fuel moisture is not considered A method accounting for fuel moisture is presented Dual-band thermometry FRP provides comparable measures to other FRP methods

AB - Satellite based fire radiant energy retrievals are widely applied to assess biomass consumed and emissions at regional to global scales. A known potential source of uncertainty in biomass burning estimates arises from fuel moisture but this impact has not been quantified in previous studies. Controlled fire laboratory experiments are used in this study to examine the biomass consumed and the radiant energy release (Fire Radiative Energy, FRE, (MJ)) for western white pine needle fuels burned with water content (WC, unitless) from 0.01 to 0.14. Results indicate a significant relationship: FRE per kilogram of fuel consumed = -5.32 WC + 3.025 (r2 = 0.83, n = 24, P < 0.001) and imply that not taking into account fuel moisture variations in the assumed relationship between FRE and fuel consumed can lead to systematic biases. A methodological framework to derive a revised formula that enables the estimation of biomass consumed from FRE, which explicitly takes into account fuel water content, is presented. Key Points FRE biomass consumed exhibits bias if fuel moisture is not considered A method accounting for fuel moisture is presented Dual-band thermometry FRP provides comparable measures to other FRP methods

KW - FRE

KW - FRP

KW - biomass burning

KW - emissions

KW - fire

KW - remote sensing

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Quantification of fuel moisture effects on biomass consumed derived from fire radiative energy retrievals

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