Quantifying the present and future climate impact of wildfire emission heights in an Earth System Model

Wildfires represent a major source for aerosol particles impacting atmospheric radiative transfer, atmospheric chemistry and cloud micro-physical properties. Compared to other emission sources, wildfires are unique in the sense that they are the only widespread source which can release emissions at high altitudes. Previous studies indicate that the height of the aerosol-radiation interaction crucially affects its climate impact. But the sensitivity to emission heights, i.e., the altitude at which emissions are injected into the atmosphere, has been examined only by a few case studies. In Earth system models (ESMs), the release of wildfire emissions is usually prescribed at the surface or at fixed heights. In this study, a semi-empirical plume height parametrization is implemented and advanced in the aerosol-climate model ECHAM6-HAM2 to investigate the impact of wildfire emission heights on the atmospheric long-range transport of black carbon (BC) particles and radiation. The modified plume height parametrization simulates a reasonable global plume height distribution representing a major improvement over a prescribed emission release. However, the comparison to observational aerosol optical thickness (AOT) data shows that the improved plume height implementation only slightly enhances the model performance in AOT regionally, while large biases remain globally. Free-tropospheric BC concentrations are mainly determined by tropical convection and differences in emission inventories rather than by differences between parametrized and prescribed emission heights. Using the plume height parametrization, wildfire aerosol emissions cause a top of atmosphere radiative forcing (TOA RF) of -0.20±0.07 Wm−2. A prescribed emission release at the surface entails a comparable TOA RF of -0.16±0.06 Wm−2. Overall, substantial improvements in wildfire aerosol modeling likely rely on better emission inventories and aerosol process modeling rather than on improved emission heights. In addition to the plume height sensitivity experiments, future wildfire emission fluxes and emission heights are simulated for Representative Concentration Pathway (RCP) scenarios. For this purpose, the process-based fire model SPITFIRE within the global vegetation model JSBACH is modified and run. The simulated fire emission fluxes and fire intensities serve as input for an ensemble of ECHAM6-HAM2 experiments. Compared to present day, fire emission fluxes are simulated to significantly increase in the extra-tropics by 2090-2099 due to enhanced fuel availability. The strongest changes in emission fluxes are found for the strongest warming scenario RCP8.5. In the tropics, fire emissions generally decrease due to land-use changes. While the increased atmospheric stability tends to decrease plume heights for RCP2.6 and RCP4.5, the enhanced fire intensity overcompensates the stability effects in RCP8.5. Nevertheless, mean global emission heights differ only by a few hundred meters. Changes in atmospheric BC concentrations and AOT are primarily driven by changes in fire emission fluxes and large-scale circulation patterns. In summary, this PhD thesis for the first time assesses the importance of the wildfire emission height representation in an ESM for present and future climate conditions. Although emission heights are of limited importance globally, they may be key parameters for aspects such as regional aerosol-cloud interaction. The new implementations, which link global vegetation-fire and atmospheric aerosol modeling, provide a novel framework to investigate these regional aerosol-climate interactions in future high-resolution ESMs.

[1]  G. Lasslop,et al.  Wildfires in a warmer climate: Emission fluxes, emission heights, and black carbon concentrations in 2090–2099 , 2015 .

[2]  I. N. Kuznetsova,et al.  The role of semi-volatile organic compounds in the mesoscale evolution of biomass burning aerosol: a modeling case study of the 2010 mega-fire event in Russia , 2015 .

[3]  F. Putz,et al.  Landscape fragmentation, severe drought, and the new Amazon forest fire regime. , 2015, Ecological applications : a publication of the Ecological Society of America.

[4]  E. Chuvieco,et al.  Anthropogenic effects on global mean fire size , 2015 .

[5]  A. Veira,et al.  Fire emission heights in the climate system – Part 1: Global plume height patterns simulated by ECHAM6-HAM2 , 2015 .

[6]  A. Veira,et al.  Fire emission heights in the climate system – Part 2: Impact on transport, black carbon concentrations and radiation , 2015 .

[7]  M. Fromm,et al.  The 2013 Rim Fire: Implications for Predicting Extreme Fire Spread, Pyroconvection, and Smoke Emissions , 2015 .

[8]  S. Freitas,et al.  Development and optimization of a wildfire plume rise model based on remote sensing data inputs – Part 2 , 2015 .

[9]  J. Randerson,et al.  Influence of tree species on continental differences in boreal fires and climate feedbacks , 2015 .

[10]  P. Ciais,et al.  Modelling the role of fires in the terrestrial carbon balance by incorporating SPITFIRE into the global vegetation model ORCHIDEE – Part 2: Carbon emissions and the role of fires in the global carbon balance , 2014 .

[11]  P. Ciais,et al.  Modelling the role of fires in the terrestrial carbon balance by incorporating SPITFIRE into the global vegetation model ORCHIDEE – Part 1: simulating historical global burned area and fire regimes , 2014 .

[12]  Jaakko Kukkonen,et al.  Applicability of an integrated plume rise model for the dispersion from wild-land fires , 2014 .

[13]  E. N. Stavros,et al.  The climate–wildfire–air quality system: interactions and feedbacks across spatial and temporal scales , 2014 .

[14]  Johannes W. Kaiser,et al.  Constraining CO 2 emissions from open biomass burning by satellite observations of co-emitted species: a method and its application to wildfires in Siberia , 2014 .

[15]  S. Freitas,et al.  Characterising Brazilian biomass burning emissions using WRF-Chem with MOSAIC sectional aerosol , 2014 .

[16]  M. Deeter,et al.  Quantifying pyroconvective injection heights using observations of fire energy: sensitivity of spaceborne observations of carbon monoxide , 2014 .

[17]  Kirsten Thonicke,et al.  SPITFIRE within the MPI Earth system model: Model development and evaluation , 2014 .

[18]  Jun Wang,et al.  Sensitivity of mesoscale modeling of smoke direct radiative effect to the emission inventory: a case study in northern sub-Saharan African region , 2014 .

[19]  B. Josse,et al.  Contribution of light-absorbing impurities in snow to Greenland/'s darkening since 2009 , 2014 .

[20]  S. Barrett,et al.  Contrasting the direct radiative effect and direct radiative forcing of aerosols , 2014 .

[21]  Yang Zhang,et al.  Impacts of future climate and emission changes on U.S. air quality , 2014 .

[22]  P. Stier,et al.  A pathway analysis of global aerosol processes , 2014 .

[23]  T. Fu,et al.  Injection heights of springtime biomass-burning plumes over peninsular Southeast Asia and their impacts on long-range pollutant transport , 2014 .

[24]  Rachel A. Loehman,et al.  Wildland fire emissions, carbon, and climate: Seeing the forest and the trees – A cross-scale assessment of wildfire and carbon dynamics in fire-prone, forested ecosystems , 2014 .

[25]  S. Urbanski Wildland fire emissions, carbon, and climate: Emission factors , 2014 .

[26]  Yongqiang Liu,et al.  Wildland fire emissions, carbon, and climate: Plume rise, atmospheric transport, and chemistry processes , 2014 .

[27]  Jun Wang,et al.  Quantifying the potential for high‐altitude smoke injection in the North American boreal forest using the standard MODIS fire products and subpixel‐based methods , 2014 .

[28]  Corinne Le Quéré,et al.  Carbon and Other Biogeochemical Cycles , 2014 .

[29]  D. E. Hall,et al.  Integrated Active Fire Retrievals and Biomass Burning Emissions Using Complementary Near-Coincident Ground, Airborne and Spaceborne Sensor Data , 2014 .

[30]  T. Carter,et al.  Climate and socio-economic scenarios for climate change research and assessment: reconciling the new with the old , 2014, Climatic Change.

[31]  Aaron M. Sparks,et al.  Quantification of fuel moisture effects on biomass consumed derived from fire radiative energy retrievals , 2013 .

[32]  L. Luo,et al.  Will future climate favor more erratic wildfires in the western United States , 2013 .

[33]  D. Fahey,et al.  Global-scale seasonally resolved black carbon vertical profiles over the Pacific , 2013, Geophysical research letters.

[34]  C. Ichoku,et al.  Global top-down smoke aerosol emissions estimation using satellite fire radiative power measurements , 2013 .

[35]  Michael J. Garay,et al.  Stereoscopic Height and Wind Retrievals for Aerosol Plumes with the MISR INteractive eXplorer (MINX) , 2013, Remote. Sens..

[36]  M. Lomas,et al.  Fire at high latitudes: Data‐model comparisons and their consequences , 2013 .

[37]  S. Seneviratne,et al.  Climate extremes and the carbon cycle , 2013, Nature.

[38]  P. Santoni,et al.  Radiant, convective and heat release characterization of vegetation fire , 2013 .

[39]  Mikhail Sofiev,et al.  Global mapping of maximum emission heights and resulting vertical profiles of wildfire emissions , 2013 .

[40]  V. Brovkin,et al.  Representation of natural and anthropogenic land cover change in MPI‐ESM , 2013 .

[41]  B. Stevens,et al.  Climate and carbon cycle changes from 1850 to 2100 in MPI‐ESM simulations for the Coupled Model Intercomparison Project phase 5 , 2013 .

[42]  Philip Stier,et al.  Constraints on aerosol processes in climate models from vertically-resolved aircraft observations of black carbon , 2013 .

[43]  B. DeAngelo,et al.  Bounding the role of black carbon in the climate system: A scientific assessment , 2013 .

[44]  B. Stevens,et al.  Atmospheric component of the MPI‐M Earth System Model: ECHAM6 , 2013 .

[45]  Jun Wang,et al.  A short-term predictor of satellite-observed fire activity in the North American boreal forest: Toward improving the prediction of smoke emissions , 2013 .

[46]  T. Raddatz,et al.  Land contribution to natural CO2 variability on time scales of centuries , 2013 .

[47]  J. Randerson,et al.  Global impact of smoke aerosols from landscape fires on climate and the Hadley circulation , 2013 .

[48]  J. Kaplan,et al.  A model for global biomass burning in preindustrial time: LPJ-LMfire (v1.0) , 2013 .

[49]  M. Flannigan,et al.  Global wildland fire season severity in the 21st century , 2013 .

[50]  M. Flannigan,et al.  Climate change impacts on future boreal fire regimes , 2013 .

[51]  Scott L. Goodrick,et al.  Smoke plume height measurement of prescribed burns in the south-eastern United States , 2013 .

[52]  Peter H. Verburg,et al.  Uncertainties in global-scale reconstructions of historical land use: an illustration using the HYDE data set , 2013, Landscape Ecology.

[53]  S. Freitas,et al.  Modeling the South American regional smoke plume: aerosol optical depth variability and surface shortwave flux perturbation , 2013 .

[54]  M. Chin,et al.  Radiative forcing in the ACCMIP historical and future climate simulations , 2013 .

[55]  Boon N. Chew,et al.  Characterizing the vertical profile of aerosol particle extinction and linear depolarization over Southeast Asia and the Maritime Continent: The 2007–2009 view from CALIOP , 2013 .

[56]  Alexander Loew,et al.  Evaluation of vegetation cover and land‐surface albedo in MPI‐ESM CMIP5 simulations , 2013 .

[57]  Gary L. Achtemeier,et al.  Modelling smoke transport from wildland fires: a review , 2013 .

[58]  Jun Wang,et al.  A sub-pixel-based calculation of fire radiative power from MODIS observations: 1 Algorithm development and initial assessment , 2013 .

[59]  Jun Wang,et al.  A sub-pixel-based calculation of fire radiative power from MODIS observations: 2. Sensitivity analysis and potential fire weather application , 2013 .

[60]  S. Freitas,et al.  One-dimensional simulation of fire injection heights in contrasted meteorological scenarios with PRM and Meso-NH models , 2013 .

[61]  J. Burrows,et al.  Fire in the Air: Biomass Burning Impacts in a Changing Climate , 2013 .

[62]  Charles Ichoku,et al.  Space‐based observational constraints for 1‐D fire smoke plume‐rise models , 2012 .

[63]  J. Randerson,et al.  The changing radiative forcing of fires: global model estimates for past, present and future , 2012 .

[64]  K. Bartlett,et al.  Comparison of AOD between CALIPSO and MODIS: significant differences over major dust and biomass burning regions , 2012 .

[65]  T. Diehl,et al.  Black carbon vertical profiles strongly affect its radiative forcing uncertainty , 2012 .

[66]  Matthew B. Dickinson,et al.  Radiant flux density, energy density and fuel consumption in mixed-oak forest surface fires , 2012 .

[67]  U. Lohmann,et al.  The global aerosol-climate model ECHAM-HAM, version 2: sensitivity to improvements in process representations , 2012 .

[68]  Harshvardhan,et al.  The use of satellite‐measured aerosol optical depth to constrain biomass burning emissions source strength in the global model GOCART , 2012 .

[69]  David M. Winker,et al.  The global 3-D distribution of tropospheric aerosols as characterized by CALIOP , 2012 .

[70]  S. K. Akagi,et al.  Measurements of reactive trace gases and variable O3 formation rates in some South Carolina biomass burning plumes , 2012 .

[71]  K. Robertson,et al.  Energy content of common fuels in upland pine savannas of the south-eastern US and their application to fire behaviour modelling , 2012 .

[72]  A. Provenzale,et al.  Aerosol optical depth over the Arctic: a comparison of ECHAM-HAM and TM5 with ground-based, satellite and reanalysis data , 2012 .

[73]  Christopher C. Schmidt,et al.  Near-Real-Time Global Biomass Burning Emissions Product from Geostationary Satellite Constellation , 2012 .

[74]  M. Chin,et al.  Satellite contributions to the quantitative characterization of biomass burning for climate modeling , 2012 .

[75]  David J. Ganz,et al.  Climate change and disruptions to global fire activity , 2012 .

[76]  W. Collins,et al.  Application of the CALIOP layer product to evaluate the vertical distribution of aerosols estimated by global models: AeroCom phase I results , 2012 .

[77]  Jean-Noël Thépaut,et al.  The MACC reanalysis: an 8 yr data set of atmospheric composition , 2012 .

[78]  K. Caldeira,et al.  Dependence of climate forcing and response on the altitude of black carbon aerosols , 2012, Climate Dynamics.

[79]  Thomas F. Eck,et al.  A critical examination of spatial biases between MODIS and MISR aerosol products – application for potential AERONET deployment , 2011 .

[80]  F. Bréon,et al.  An evaluation of satellite aerosol products against sunphotometer measurements , 2011 .

[81]  J. Hadji-Lazaro,et al.  Hindcast experiments of tropospheric composition during the summer 2010 fires over western Russia , 2011 .

[82]  Mikhail Sofiev,et al.  Evaluation of the smoke-injection height from wild-land fires using remote-sensing data , 2011 .

[83]  James T. Randerson,et al.  The impacts of climate, land use, and demography on fires during the 21st century simulated by CLM-CN , 2011 .

[84]  T. Ackerman,et al.  Comparison of Moderate Resolution Imaging Spectroradiometer ocean aerosol retrievals with ship‐based Sun photometer measurements from the Around the Americas expedition , 2011 .

[85]  Scott L. Goodrick,et al.  Modeling Smoke Plume-Rise and Dispersion from Southern United States Prescribed Burns with Daysmoke , 2011 .

[86]  Jens Redemann,et al.  The comparison of MODIS-Aqua (C5) and CALIOP (V2 & V3) aerosol optical depth , 2011 .

[87]  E. Stehfest,et al.  Harmonization of land-use scenarios for the period 1500–2100: 600 years of global gridded annual land-use transitions, wood harvest, and resulting secondary lands , 2011 .

[88]  G. P. Kyle,et al.  Global and regional evolution of short-lived radiatively-active gases and aerosols in the Representative Concentration Pathways , 2011 .

[89]  A. Thomson,et al.  The representative concentration pathways: an overview , 2011 .

[90]  M. Razinger,et al.  Biomass burning emissions estimated with a global fire assimilation system based on observed fire radiative power , 2011 .

[91]  B. Holben,et al.  An Accuracy Assessment of the CALIOP/CALIPSO Version 2/Version 3 Daytime Aerosol Extinction Product Based on a Detailed Multi-Sensor, Multi-Platform Case Study , 2011 .

[92]  I. Bey,et al.  Pollution transport efficiency toward the Arctic: Sensitivity to aerosol scavenging and source regions , 2011 .

[93]  David J. Diner,et al.  Dynamics of fire plumes and smoke clouds associated with peat and deforestation fires in Indonesia , 2011 .

[94]  S. Petelina,et al.  Transport and evolution of the 2009 Australian Black Saturday bushfire smoke in the lower stratosphere observed by OSIRIS on Odin , 2011 .

[95]  Alexander Smirnov,et al.  Maritime aerosol network as a component of AERONET - first results and comparison with global aerosol models and satellite retrievals , 2011 .

[96]  S. K. Akagi,et al.  The Fire INventory from NCAR (FINN): a high resolution global model to estimate the emissions from open burning , 2010 .

[97]  S. Freitas,et al.  Inclusion of biomass burning in WRF-Chem: impact of wildfires on weather forecasts , 2010 .

[98]  J. Randerson,et al.  Global fire emissions and the contribution of deforestation, savanna, forest, agricultural, and peat fires (1997-2009) , 2010 .

[99]  M. Brauer,et al.  The validity and utility of MODIS data for simple estimation of area burned and aerosols emitted by wildfire events , 2010 .

[100]  R. Kahn,et al.  An investigation of methods for injecting emissions from boreal wildfires using WRF-Chem during ARCTAS , 2010 .

[101]  S. K. Akagi,et al.  Emission factors for open and domestic biomass burning for use in atmospheric models , 2010 .

[102]  D. Shindell,et al.  Driving forces of global wildfires over the past millennium and the forthcoming century , 2010, Proceedings of the National Academy of Sciences.

[103]  Yongqiang Liu,et al.  Important parameters for smoke plume rise simulation with Daysmoke , 2010 .

[104]  J. Reid,et al.  An over-land aerosol optical depth data set for data assimilation by filtering, correction, and aggregation of MODIS Collection 5 optical depth retrievals , 2010 .

[105]  H. Treut,et al.  THE CALIPSO MISSION: A Global 3D View of Aerosols and Clouds , 2010 .

[106]  Thomas Trickl,et al.  The Untold Story of Pyrocumulonimbus , 2010 .

[107]  Sandy P. Harrison,et al.  The influence of vegetation, fire spread and fire behaviour on biomass burning and trace gas emissions: results from a process-based model , 2010 .

[108]  F. M. Hoffman,et al.  Fire dynamics during the 20th century simulated by the Community Land Model , 2010 .

[109]  G. Mann,et al.  A review of natural aerosol interactions and feedbacks within the Earth system , 2010 .

[110]  Scott L. Goodrick,et al.  Trends in global wildfire potential in a changing climate , 2010 .

[111]  S. Bauer,et al.  Attribution of climate forcing to economic sectors , 2010, Proceedings of the National Academy of Sciences.

[112]  P. Palmer,et al.  Vertical transport of surface fire emissions observed from space , 2010 .

[113]  Michael J. Garay,et al.  MISR Stereo Heights of Grassland Fire Smoke Plumes in Australia , 2008, IEEE Transactions on Geoscience and Remote Sensing.

[114]  M. Chin,et al.  Evaluation of black carbon estimations in global aerosol models , 2009 .

[115]  J. D. Laat,et al.  An aerosol boomerang: Rapid around-the-world transport of smoke from the December 2006 Australian forest fires observed from space , 2009 .

[116]  J. Randerson,et al.  Do biomass burning aerosols intensify drought in equatorial Asia during El Niño , 2009 .

[117]  J. Logan,et al.  Impacts of climate change from 2000 to 2050 on wildfire activity and carbonaceous aerosol concentrations in the western United States , 2009 .

[118]  D. L. Nelson,et al.  Smoke injection heights from fires in North America: analysis of 5 years of satellite observations , 2009 .

[119]  Numerical simulation of tropospheric injection of biomass burning products by pyro-thermal plumes , 2009 .

[120]  D. L. Nelson,et al.  Interactive comment on “ The sensitivity of CO and aerosol transport to the temporal and vertical distribution of North American boreal fire emissions ” by Y . , 2009 .

[121]  M. Krawchuk,et al.  Implications of changing climate for global wildland fire , 2009 .

[122]  Saulo R. Freitas,et al.  Technical Note: Sensitivity of 1-D smoke plume rise models to the inclusion of environmental wind drag , 2009 .

[123]  R. Draxler,et al.  Verification of the NOAA Smoke Forecasting System: Model Sensitivity to the Injection Height , 2009 .

[124]  D. Fahey,et al.  Atmospheric Chemistry and Physics Modelled Radiative Forcing of the Direct Aerosol Effect with Multi-observation Evaluation , 2022 .

[125]  B. Duncan,et al.  Vegetation fire emissions and their impact on air pollution and climate , 2009 .

[126]  Patricia L. Andrews BehavePlus fire modeling system, version 5.0: Variables , 2009 .

[127]  James J. Hack,et al.  A New Sea Surface Temperature and Sea Ice Boundary Dataset for the Community Atmosphere Model , 2008 .

[128]  F. Joos,et al.  Climate and human influences on global biomass burning over the past two millennia , 2008 .

[129]  David J. Diner,et al.  Quantitative studies of wildfire smoke injection heights with the Terra Multi-angle Imaging SpectroRadiometer , 2008, Optical Engineering + Applications.

[130]  Yang Chen,et al.  Example applications of the MISR INteractive eXplorer (MINX) software tool to wildfire smoke plume analyses , 2008, Optical Engineering + Applications.

[131]  D. Zrnic,et al.  Radar polarimetric signatures of fire plumes in Oklahoma , 2008 .

[132]  S. Sitch,et al.  The role of fire disturbance for global vegetation dynamics: coupling fire into a Dynamic Global Vegetation Model , 2008 .

[133]  David J. Diner,et al.  Stratospheric impact of the Chisholm pyrocumulonimbus eruption: 1. Earth-viewing satellite perspective , 2008 .

[134]  Jonathan M. Gregory,et al.  Mechanisms for the land/sea warming contrast exhibited by simulations of climate change , 2008 .

[135]  David J. Diner,et al.  Wildfire smoke injection heights: Two perspectives from space , 2008 .

[136]  Charles Ichoku,et al.  Relationships between energy release, fuel mass loss, and trace gas and aerosol emissions during laboratory biomass fires , 2008 .

[137]  O. Boucher,et al.  Aerosol forcing, climate response and climate sensitivity in the Hadley Centre climate model , 2007 .

[138]  E. Kasischke,et al.  Examining injection properties of boreal forest fires using surface and satellite measurements of CO transport , 2007 .

[139]  Christine Wiedinmyer,et al.  Wildfire particulate matter in Europe during summer 2003: meso-scale modeling of smoke emissions, transport and radiative effects , 2007 .

[140]  U. Lohmann,et al.  Cloud microphysics and aerosol indirect effects in the global climate model ECHAM5-HAM , 2007 .

[141]  David J. Diner,et al.  Aerosol source plume physical characteristics from space-based multiangle imaging , 2007 .

[142]  David G. Streets,et al.  Impacts of enhanced biomass burning in the boreal forests in 1998 on tropospheric chemistry and the sensitivity of model results to the injection height of emissions , 2007 .

[143]  John A. Smith,et al.  Modeling the transport and optical properties of smoke aerosols from African savanna fires during the Southern African Regional Science Initiative campaign (SAFARI 2000) , 2007 .

[144]  David J. Diner,et al.  A data-mining approach to associating MISR smoke plume heights with MODIS fire measurements , 2007 .

[145]  Philip J. Rasch,et al.  Present-day climate forcing and response from black carbon in snow , 2006 .

[146]  S. Freitas,et al.  Including the sub-grid scale plume rise of vegetation fires in low resolution atmospheric transport models , 2006 .

[147]  Gunnar Luderer,et al.  Modeling of biomass smoke injection into the lower stratosphere by a large forest fire (Part I): reference simulation , 2006 .

[148]  Gunnar Luderer,et al.  Modeling of biomass smoke injection into the lower stratosphere by a large forest fire (Part II): sensitivity studies , 2006 .

[149]  J. Randerson,et al.  The Impact of Boreal Forest Fire on Climate Warming , 2006, Science.

[150]  J. Randerson,et al.  Interannual variability in global biomass burning emissions from 1997 to 2004 , 2006 .

[151]  M. Andreae,et al.  Black carbon or brown carbon? The nature of light-absorbing carbonaceous aerosols , 2006 .

[152]  Sundar A. Christopher,et al.  Mesoscale modeling of Central American smoke transport to the United States: 1. “Top‐down” assessment of emission strength and diurnal variation impacts , 2006 .

[153]  M. Fromm,et al.  Violent pyro‐convective storm devastates Australia's capital and pollutes the stratosphere , 2006 .

[154]  Mike Fromm,et al.  A case study of pyro-convection using transport model and remote sensing data , 2006 .

[155]  Y. Kaufman,et al.  Retrieval of biomass combustion rates and totals from fire radiative power observations: FRP derivation and calibration relationships between biomass consumption and fire radiative energy release , 2005 .

[156]  Vivek K. Arora,et al.  Fire as an interactive component of dynamic vegetation models , 2005 .

[157]  J. Randerson,et al.  Global estimation of burned area using MODIS active fire observations , 2005 .

[158]  W. Collins,et al.  An AeroCom Initial Assessment - Optical Properties in Aerosol Component Modules of Global Models , 2005 .

[159]  M. Chin,et al.  A review of measurement-based assessments of the aerosol direct radiative effect and forcing , 2005 .

[160]  W. Bond,et al.  Fire as a global 'herbivore': the ecology and evolution of flammable ecosystems. , 2005, Trends in ecology & evolution.

[161]  E. Vermote,et al.  The MODIS Aerosol Algorithm, Products, and Validation , 2005 .

[162]  G. Certini Effects of fire on properties of forest soils: a review , 2005, Oecologia.

[163]  U. Lohmann,et al.  Global indirect aerosol effects: a review , 2004 .

[164]  O. Boucher,et al.  The aerosol-climate model ECHAM5-HAM , 2004 .

[165]  T. Eck,et al.  A review of biomass burning emissions part III: intensive optical properties of biomass burning particles , 2004 .

[166]  Daniel M. Murphy,et al.  In‐situ observations of mid‐latitude forest fire plumes deep in the stratosphere , 2004 .

[167]  Piers M. Forster,et al.  The semi‐direct aerosol effect: Impact of absorbing aerosols on marine stratocumulus , 2004 .

[168]  Mark R. Schoeberl,et al.  Transport of smoke from Canadian forest fires to the surface near Washington, D.C.: Injection height, entrainment, and optical properties , 2004 .

[169]  J. Hansen,et al.  Soot climate forcing via snow and ice albedos. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[170]  Ulrich Platt,et al.  Satellite detection of a continental‐scale plume of nitrogen oxides from boreal forest fires , 2001 .

[171]  M. Andreae,et al.  Emission of trace gases and aerosols from biomass burning , 2001 .

[172]  K. K. Goldewijk Estimating global land use change over the past 300 years: The HYDE Database , 2001 .

[173]  J. Goldammer,et al.  Modeling of carbonaceous particles emitted by boreal and temperate wildfires at northern latitudes , 2000 .

[174]  O. Boucher,et al.  Estimates of the direct and indirect radiative forcing due to tropospheric aerosols: A review , 2000 .

[175]  Trainer,et al.  The influence of canadian forest fires on pollutant concentrations in the united states , 2000, Science.

[176]  T. Eck,et al.  Wavelength dependence of the optical depth of biomass burning, urban, and desert dust aerosols , 1999 .

[177]  Daniel G. Neary,et al.  Fire effects on belowground sustainability: a review and synthesis , 1999 .

[178]  Alexander Smirnov,et al.  Comparison of aerosol optical depth from four solar radiometers during the fall 1997 ARM intensive observation period , 1999 .

[179]  A. Smirnov,et al.  AERONET-a federated instrument network and data archive for aerosol Characterization , 1998 .

[180]  Bernard Pinty,et al.  Multi-angle Imaging SpectroRadiometer (MISR) instrument description and experiment overview , 1998, IEEE Trans. Geosci. Remote. Sens..

[181]  L. Mearns,et al.  Climate Change and Forest Fire Potential in Russian and Canadian Boreal Forests , 1998 .

[182]  D. Tanré,et al.  Remote sensing of aerosol properties over oceans using the MODIS/EOS spectral radiances , 1997 .

[183]  J. Penner,et al.  A global three‐dimensional model study of carbonaceous aerosols , 1996 .

[184]  Tom Beer,et al.  Estimating australian forest fire danger under conditions of doubled carbon dioxide concentrations , 1995 .

[185]  David Rind,et al.  The Impact of a 2 × CO2 Climate on Lightning-Caused Fires , 1994 .

[186]  M. Flannigan,et al.  CLIMATE CHANGE AND WILDFIRE IN CANADA , 1991 .

[187]  P. Crutzen,et al.  Biomass Burning in the Tropics: Impact on Atmospheric Chemistry and Biogeochemical Cycles , 1990, Science.

[188]  K. Heikes,et al.  Numerical simulation of small area fires , 1990 .

[189]  B. Albrecht Aerosols, Cloud Microphysics, and Fractional Cloudiness , 1989, Science.

[190]  J. Kirkpatrick,et al.  The flammability and energy content of some important plant species and fuel components in the forests of southeastern Tasmania , 1985 .

[191]  G. Briggs,et al.  Plume Rise Predictions , 1982 .

[192]  S. Twomey The Influence of Pollution on the Shortwave Albedo of Clouds , 1977 .

[193]  G. A. Briggs A Discussion on recent research in air pollution - Optimum formulas for buoyant plume rise , 1969, Philosophical Transactions of the Royal Society of London. Series A, Mathematical and Physical Sciences.

[194]  A. Ångström Atmospheric turbidity, global illumination and planetary albedo of the earth , 1962 .

[195]  Aerosol-Cloud-Precipitation Interactions : Shallow Cumulus , 2022 .