Airborne observations made on 8 July 2002 over five locations in Virginia and Maryland revealed the presence of two discrete layers of air pollution, one of a smoke plume between ∼2 and 3 km above mean sea level advected from Quebec forest fires and another, underlying plume from fossil fuel combustion. Within the smoke layer, large increases were observed in submicrometer particle numbers, scattering, and absorption as well as ozone (O3) and CO (but not SO2) mixing ratios. The single-scattering albedos (ω0) in the layer between ∼2 and 3 km (mean value at 550 nm = 0.93 ± 0.02) were consistently smaller than those below (mean value at 550 nm = 0.95 ± 0.01). Aerosol optical depth in the lower 3 km of the atmosphere was determined at each of the five locations, and the value at 550 nm varied between 0.42 ± 0.06 and 1.53 ± 0.21. Calculations of clear-sky aerosol direct radiative forcing by the smoke plume using an atmospheric radiative transfer code indicated that the forcing at the top of the atmosphere was small relative to the forcing at the surface. Thus atmospheric absorption of solar radiation was nearly equal to the attenuation at the surface. The net effect was to cool the surface and heat the air aloft. A morning subsidence inversion positioned the smoke in a dense enough layer above the planetary boundary layer that solar heating of the layer maintained the temperature inversion through the afternoon. This created a positive feedback loop that prevented vertical mixing and dilution of the smoke plume, thereby increasing the regional radiative impact.
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 Particles generated from burning vegetation are dominated by organic carbon (OC) and black carbon (BC) [Crutzen and Andreae, 1990; Martins et al., 1998] that reduce the flux at the surface by scattering and absorbing solar radiation [Penner et al., 1992; Hobbs et al., 1997; Remer et al., 1998; Eck et al., 1998; Li, 1998; Li and Kou, 1998]. This is in contrast to sulfate particles, prevalent over the eastern United States, that predominantly scatter solar radiation and cool both the atmosphere and the surface [Charlson et al., 1991; Ramanathan et al., 2001]. The degree of absorptivity of carbonaceous smoke particles depends largely on fuel type (dictated by region and vegetation), age of the particles, and the phase of burning (i.e., flaming versus smoldering) [Dubovik et al., 2001]. Emissions from North American boreal forest fires have been shown to be less absorptive than those of African savannah and South American cerrado fires and commensurate with those of Amazonian forest fires [Dubovik et al., 2001]. This is largely due to a protracted smoldering phase in forest fires that produces less absorptive particles. Chemical and physical transformations may, however, occur downwind of the source. In an aged plume, particle coagulation, gas-to-particle conversion, heterogeneous reactions, and cloud processing influence the trace gas concentrations and the size distribution and optical properties of the smoke particles [Reid et al., 1998, 1999; Wong and Li, 2002]. Near source and downwind in situ measurements are thus necessary to provide constraints on remote sensing retrieval algorithms as well as for validations of numerical based model simulations.
 The scattering Ångström exponent, α, a measure of the wavelength (λ) dependence of the scattering coefficient, is inversely related to particle size, and thereby provides information on the source and age of the observed particles:
The single-scattering albedo (ω0) is the ratio of particle scattering (represented by the scattering coefficient, σsp) to total extinction due to particle scattering and absorption (represented by the absorption coefficient, σap), and represents the probability that a photon encountering the particle will be scattered:
 Smoke particles reportedly become less absorptive with age [Reid et al., 1998]. In optically thick smoke plumes, small changes in ω0 can have profound impacts on the radiative budget [Reid et al., 1999]. The energy balance of the surface-atmosphere system is thus altered according to the degree of scattering and absorption [Eck et al., 1998]. A more absorbing aerosol can heat the atmosphere and cool the surface, generating greater stability in the lower atmosphere and impacting the hydrological cycle [Ramanathan et al., 2001]. This in turn affects the vertical mixing of the aerosols and potential removal mechanisms [e.g., Park et al., 2001].
 The direct effect of aerosols upon this energy balance is quantified through calculations of aerosol direct radiative forcing. Top of the atmosphere forcing (ΔF TOA) is a measure of the reflectivity of the atmosphere (after surface albedo is accounted for), while surface forcing (ΔF sfc) gives the total attenuation of solar flux at the surface, both driven by aerosols in this case. If the two are equal, then the aerosols are completely scattering. If the attenuation at the surface is greater than the reflected flux at the top of the atmosphere, then the aerosols have absorbed some of the solar radiation. Aerosol direct radiative forcing depends upon the aerosol optical depth (AOD,τ), ω0, and the asymmetry parameter (g) of the particles. Aerosol optical depth is defined as the extinction coefficient, σext, integrated from the surface (sfc) to the top of the atmosphere (TOA):
The extinction coefficient is the sum of the scattering and absorption coefficients and τ can therefore be represented as the sum of their vertical integrals:
The asymmetry parameter represents the degree of asymmetry of the angular scattering and is defined as
where θ is the scattering angle and P is the phase function, the scattered intensity at angle θ relative to the incident beam.
 Results of aircraft measurements of trace gas and particle concentrations as well as particle optical properties on 8 July 2002 over Maryland and Virginia are reported herein. The sampling methods and analytical techniques are described in detail. The AOD, aerosol direct radiative forcing, and heating rates associated with the smoke plume advected from Quebec forest fires are calculated. This paper also investigates the impacts that absorptive heating within the plume had on atmospheric stability.
2. Sampling Platform
 The sampling platform used for this study was a twin engine Piper Aztec-F PA-23-250 research aircraft. The aircraft is outfitted with a suite of trace gas and aerosol instruments, the inlets for which are engineered onto the upper fuselage. There is an aft-facing inlet plumbed to the trace gas instruments while a forward facing, isokinetic inlet feeds the aerosol instruments. Owing to inlet sampling line losses of supermicrometer particles, all measurements reported are of submicrometer particles only. A meteorological probe is nestled between these two inlets. Position was measured and stored using a Global Positioning System, GPS (Garmin GPS-90), with 10 s resolution, and verified several times per flight relative to known geographic reference points. Temperature and relative humidity (RH) were measured using a thermistor and capacitive thin film, respectively, with a regularly calibrated Rustrak RR2-252 RH probe (EIL Instruments Inc., Hunt Valley, Maryland). The instrument is capable of 0.5°C temperature precision and 2% humidity precision with a 10 s response time. Pressure was measured using a Rosemount Model 2008 pressure transducer, capable of 5 mb precision, and calibrated regularly to a laboratory standard. Pressure altitude was calculated from static pressure using the U.S. Standard Atmosphere (1976) approximation, normalized relative to known surface elevation and ambient surface static pressure averaged between takeoff and landing locations.
 Ozone data were acquired with a commercial instrument using UV absorption at 254 nm (Thermo Environmental, TEI Model 49, Franklin, Massachusetts), modified for increased (4 s) temporal response. This instrument was routinely compared to an in-house primary O3 calibrator (TEI Model 49PS) fed on zero-grade air.
 For observations of CO, a high-performance, modified [Dickerson and Delany, 1988] commercial (TEI Model 48) nondispersive infrared (NDIR) gas filter correlation analyzer was used. For this study, this instrument had a detection limit of ∼24 ppbv (signal to noise, S:N = 1:1 for ±2σ noise) for a 1 min mean of 10 s data, and was calibrated regularly using CO working standards (1–2 ppmv CO in nitrogen; Scott-Marrin, Riverside, California), in turn referenced to a National Institute of Standards and Technology (NIST) Standard Reference Material (1677c 9970 ppbv CO in nitrogen, certified; NIST, Gaithersburg, Maryland). This instrument is capable of ∼1% precision determined for a 1 min mean of 10 s data. The CO instrument has undergone formal international calibrations [Novelli et al., 1998] under a WMO protocol [Doddridge et al., 1995].
 A modified [Luke, 1997] commercial pulsed fluorescence detector (TEI Model 43C) was used for measurements of ambient SO2. For this experiment, the SO2 instrument had a detection limit of ∼140 pptv (S:N = 1:1 for ±2σ noise) for a 1 min mean of 10 s data and was calibrated regularly using SO2 working standards.
 Particle light absorption was measured using a Particle/Soot Absorption Photometer (PSAP, Radiance Research, Seattle, Washington), which quantified the intensity of 565 nm light after it passed through a filter on which ambient aerosol was deposited. The detection limit (95% confidence level) for S:N = 1 is 0.9 × 10−6 m−1 [Anderson et al., 1999; Bond et al., 1999] when 1 min measurement averages are used as in this experiment. Absorption values were corrected for differences in flow rate (as measured by the instrument and an electronic bubble flow meter) and spot size, instrumental variation, noise, and exaggerations of absorption due to scattering and nonscattering influences [Bond et al., 1999]. These corrections resulted in a decrease in absorption values from those indicated by the instrument from approximately 10% for the smaller values to almost 20% for the larger ones. The estimated instrumental uncertainty for the absorption values is 25% with 95% confidence.
 Particle light scattering was quantified using an integrating nephelometer (TSI Model 3563) that measured the total particle scattering coefficient (σsp) at 450, 550, and 700 nm [Anderson et al., 1996]. The nephelometer was calibrated with CO2 and particle-free air, and corrected as necessary. At an averaging time of 5 min, detection limits for S:N = 2 are = 0.44 × 10−6 m−1, = 0.17 × 10−6 m−1, and = 0.26 × 10−6 m−1. Corrections were made to the measurements to account for forward scattering angular truncation and non-Lambertian distribution of illumination intensity within the nephelometer. A wavelength-dependent correction factor (Cts) was calculated assuming a linear relationship between Cts and the scattering Ångström exponent (α), such that Cts = a + bα, where a and b are constants used for submicrometer particles and α450/550, α450/700, and α550/700 are used for 450, 550, and 700 nm, respectively [Anderson and Ogren, 1998]. Application of this correction increased the scattering values from ∼5% at 700 nm for the planetary boundary layer (PBL) particles to nearly 15% at 450 nm for the particles in the smoke plume. The estimated instrumental uncertainty for values of total scattering is 10% with 95% confidence.
 Number distributions for particles with optical diameters between 0.30 and 1.0 μm were collected with an optical particle counter (Met One Model 9012) that used a laser diode-based optical sensor to convert scattered light to numbers of particles per size range. The prespecified size ranges were 0.30–0.40 μm, 0.40–0.491 μm, 0.491–0.60 μm, 0.60–0.701 μm, 0.701–0.80 μm, and 0.80 ∼ 1.0 μm.
3. Results and Discussion
 Two research flights, one in the morning and one in the afternoon, were conducted on 8 July 2002 (Figure 1). The dark black circles on the figure indicate ascending or descending fixed location vertical survey spirals performed at ∼100 vertical m min−1 between ∼5 m above ground level (AGL) to ∼3 km above mean sea level (MSL). The first spiral was made over Luray, Virginia (38.70°N, 78.48°W) beginning at ∼1300 UTC. After a short transect to the northeast, the second spiral was performed over Winchester, Virginia (39.15°N, 78.15°W) commencing at ∼1400 UTC. The final spiral of the morning, over Cumberland, Maryland (39.60°N, 78.70°W) was initiated at ∼1500 UTC. The afternoon spirals were performed over Harford County (Harford), Maryland (39.56°N, 76.18°W) and Easton, Maryland (38.80°N, 76.06°W) beginning at ∼1900 and 2000 UTC, respectively. Evidence of the smoke plume was strongest over Luray, Winchester, Harford, and Easton. The spiral over Cumberland showed little evidence of the smoke plume. A backward trajectory analysis will be discussed in section 3.2.
 Vertical profiles of the temperature and RH measured over the five locations are given in Figure 2. The three morning profiles (Luray, Winchester, and Cumberland) show a nocturnal radiance inversion around 500 m that erodes by the time of the later profiles. A persistent inversion around 2 km is evident in all of the profiles, delineating the upper limits of the PBL and the dichotomy between the two regimes observed in this study. In this paper we investigate the hypothesis that absorption of solar radiation within the layer between ∼2 and 3 km led to the protraction of this temperature inversion, initiated by morning subsidence, through the afternoon.
 A cutoff upper-level low-pressure system centered over Maine, together with a high-amplitude ridge to the west, caused long range funneling of northern continental air to the midatlantic region beginning on 5 July 2002 and continuing through the morning of 8 July (Figure 3). This meridional flow is normally associated with cool, dry, and relatively clean air. However, smoke from forest fires burning in northern Quebec traveled south over 1000 km to blanket the midatlantic and northeastern United States in a thick pall. Diffluence downstream of the upper-level trough caused the plume to fan out over the region. Figure 4 is a Moderate-Resolution Imaging Spectroradiometer (MODIS) visible image of the plume and several active fire detections (red dots) on 7 July that shows how the diffluent flow caused such a regional impact.
 On 8 July, the upper-level trough filled and migrated east, resulting in a wind shift to the west. This began to push the plume out over the Atlantic Ocean. By the 9th the majority of the plume was advected offshore. For a more complete analysis of the meteorology associated with this event, see http://www.atmos.umd.edu/∼forecaster/summary_2002.htm.
3.2. Trajectory Analysis
 A backward trajectory analysis utilizing the NOAA Air Resources Laboratory (ARL) Hybrid Single-Particle Lagrangian Integrated Trajectory (HY-SPLIT) model (Version 4) (R. R. Draxler and G. D. Rolph, 2003, http://www.arl.noaa.gov/ready/hysplit4.html) and Eta Data Assimilation System (EDAS) meteorological fields was performed at each of the five locales addressed in this study (Figure 5). The 72 hour model vertical velocity backward trajectories were commenced at altitudes of 1000, 2000, and 3000 m MSL to shed light on observations made within the PBL and the observed free tropospheric pall. The upper-level trajectories all show advection from the north and northwest, indicating that the observations between 2 and 3 km MSL were of the Canadian forest fire smoke. The meteorological and trajectory analyses suggest that air parcels were lifted near the fires and then transported in the lower free troposphere. The lower-level trajectories also show northerly advection, however the observations made in this study suggest a vertical separation between PBL air and that in the free troposphere.
3.3. Trace Gases
 The mixing ratios for O3, CO, and SO2 measured over the five locations are provided in Figures 6, 7, and 8, respectively. Luray, Winchester, Harford, and Easton displayed similar trends: high O3 and CO mixing ratios between 2 and 3 km with little SO2 observed within this altitude range. O3 mixing ratios exceeded 160 ppbv at this altitude and the mixing ratios in the layer aloft consistently exceeded those in the PBL by 40–60 ppbv. CO mixing ratios approached 1600 ppbv in the layer aloft, and were upward of 1000 ppbv greater than those in the PBL. These observations are indicative of a photochemically aged smoke plume. Large amounts of SO2 were observed near the surface in the three later profiles, including Cumberland. This enhanced SO2, routinely observed during regular air pollution survey flights conducted in this area [Ryan et al., 1998], could be the result of westerly transport from a point source, observed in the later profiles because of the wind shift from the north to the west.
3.4. Aerosol Properties
 Particle scattering at 450, 550, and 700 nm, absorption at 550 nm, and size number distributions for the six accumulation mode size bins over the five locations are provided in Figures 9, 10, and 11, respectively. The absorption values were extrapolated from 565 to 550 nm, based on the assumption that σap ∝ (1/λ) [Bodhaine, 1995], to calculate the AOD and single-scattering albedo at this wavelength. Methods used to extrapolate measured optical properties across the solar spectrum will be addressed later in this section. Total scattering at 450, 550, and even at 700 nm over Harford and Easton, exceeded 10−3 m−1 between 2 and 3 km. Particle absorption at 550 nm approached 100 Mm−1 in this vertical layer over each location and even surpassed this value at Easton. The greatest numbers of particles were observed in the 0.30–0.60 μm diameter range. Particles larger than this may not have been collected efficiently due to inlet line losses. There were at least as many particles in the 0.40–0.491 μm range as in the smallest size bin observed over each location (except Cumberland and Harford) at ∼2.5 km, roughly the vertical center of the smoke plume. At Luray and Winchester, particles with diameters between 0.491–0.60 μm were also as numerous as those in the smallest size bin. These observations are rare in a typical plume of anthropogenic origin. In such cases, the particles with diameters between 0.30–0.40 μm are far more numerous than the larger particles, as can be seen in the PBL in the morning profiles.
 A large increase in the number of particles between 0.30–0.40 μm was seen at roughly 500 m above Cumberland. This increase corresponded to an increase in SO2 at the same altitude over Cumberland. Despite the fact that similar increases in SO2 were measured at low altitudes over Harford and Easton, no increase in the number of 0.30–0.40 μm particles was observed. The optically thick layer of smoke covering Harford and Easton may have inhibited the photooxidation of SO2 to SO42− and thereby secondary aerosol formation. Over Cumberland, where there was less solar attenuation, gas to particle conversion would not have been hindered. This may have resulted in the observed increase in small particles. Unfortunately, there was no speciation data to confirm this supposition.
 Calculations of α were made using the following ratios of the total scattering at 450, 550, and 700 nm: 450/550, 450/700, and 550/700. Figure 12 shows α450/700 over the five locations. Table 1 gives the average values of α for the smoke layer and the PBL at each location. The average values of α in the PBL are larger than those in the smoke layer, indicating smaller particles in the PBL and larger ones aloft. This is consistent with relatively fresh anthropogenic particles lying below an aged smoke plume that had traveled over 1000 km [Reid et al., 1998]. Even the Cumberland profile, despite showing a weak overall smoke signature, is consistent with this trend.
Table 1. Ångström Exponents Calculated for the Smoke Layer and Planetary Boundary Layer (PBL) at Vertical Survey Spiral Locations During Flights on 8 July 2002a
Uncertainties represent 1 σ deviation about the mean.
0.57 ± 0.18
0.83 ± 0.15
1.04 ± 0.11
1.84 ± 0.42
1.92 ± 0.38
1.99 ± 0.34
0.60 ± 0.44
0.85 ± 0.32
1.05 ± 0.22
1.90 ± 0.34
1.99 ± 0.32
2.06 ± 0.30
1.17 ± 0.64
1.23 ± 0.38
1.29 ± 0.30
1.85 ± 0.26
1.96 ± 0.22
2.05 ± 0.21
0.87 ± 0.10
1.09 ± 0.09
1.26 ± 0.09
1.45 ± 0.33
1.59 ± 0.30
1.70 ± 0.29
0.71 ± 0.10
0.97 ± 0.09
1.18 ± 0.09
1.83 ± 0.19
1.94 ± 0.19
2.03 ± 0.16
 Measurements of light scattering were made after the sample airflow was dried from ambient conditions to an RH of ≤20%. Measurements of light absorption were performed at ambient conditions. Although it was assumed in this study that changes in RH did not affect absorption, it has been shown that RH variations can cause inaccuracies in measurements made by the PSAP [Anderson et al., 2003]. Because of the measurement of dry light scattering, σsp(ref), the calculation of AOD must be modified to account for the difference between σsp(ref) and σsp(λ,RH):
F(RH) was then calculated using the following relationship between particle scattering coefficients at two values of RH:
where RHamb is the ambient RH, RHref is the RH inside the nephelometer, and γ is an empirically derived constant.
 Parallel nephelometers were not used in this study, so γ had to be estimated. In polluted conditions, such as those on the east coast of the United States, typical values of γ range from 0.20–0.50. For this study a value of 0.35 was chosen as per Remer et al.  because of the similarities of both the sampling platforms and the regions of the studies. However, this correction factor was only applied to total scattering measurements made within the PBL. The smoke plume was presumably less hygroscopic than the sulfate dominated anthropogenic aerosols of the midatlantic United States and was observed in the free troposphere, where the RH was already below 20%. The corrections for angular nonidealities, on the other hand, were applied to all of the measurements.
 The vertical survey spirals covered roughly the bottom 3 km of the atmosphere, from ∼5 m AGL (z1) to ∼3 km MSL (z2). Because of the small temporal and horizontal spatial scale of the individual spirals, atmospheric homogeneity was assumed in both horizontal composition and time. Thus AOD for the vertical column at a single time was calculated. Measurements of extinction (as the sum of scattering and absorption) were made every minute and roughly every 100 m to give approximately 30 measurements per spiral. These extinction measurements were then integrated vertically and the AOD reported herein was calculated as such:
The smoke plume was observed in the lower free troposphere at a minimum altitude of ∼2 km MSL and extended somewhat beyond 3 km MSL. Therefore the entire smoke plume was not accounted for in these calculations. AOD at 550 nm (τ550) is given in Table 2. The uncertainty in these values was calculated by adding in quadrature the uncertainties in the particle scattering and absorption. A 25% uncertainty was assigned to the absorption values according to the instrumental error. A 15% uncertainty was estimated for the scattering values after adding in quadrature the 10% instrumental error and an additional 11% sensitivity to the possible range of γ values.
Table 2. Aerosol Optical Depth (AOD) at 550 nm Calculated From ∼5 m Above Ground Level to ∼3 km Above Mean Sea Level at Vertical Survey Spiral Locations During Flights on 8 July 2002
Aerosol optical depth only to ∼2.5 km above mean sea level.
1.01 ± 0.14
0.98 ± 0.14
0.42 ± 0.06
1.05 ± 0.15
1.53 ± 0.21
 The profiles of ω0 at 550 nm over the five locations are given in Figure 13. The average values of in the PBL and smoke layer aloft at each location are given in Table 3. The particles in the smoke plume were consistently more absorbing than the particles in the PBL. The mean values in the smoke plume and the PBL at 550 nm were 0.93 ± 0.02 and 0.95 ± 0.01, respectively. Calculation of the mean smoke value excluded Cumberland. A weak smoke signature was observed over this location, and inclusion would bias the calculation toward a value uncharacteristic of the smoke plume measured over the other sites. These values are consistent with those reported by Dubovik et al.  for North American boreal forest fires and at NASA GSFC. The smoke plume values also fall within the range of satellite-based retrieved values for smoke from boreal forest fires [Ferrare et al., 1990; Li and Kou, 1998]. The uncertainty in ω0 was calculated according to the aforementioned uncertainties in the absorption and scattering values with the following equation:
Table 3. Single-Scattering Albedo at 550 nm Calculated for the Smoke Layer and PBL at Vertical Survey Spiral Locations During Flights on 8 July 2002
0.91 ± 0.03
0.93 ± 0.02
0.81 ± 0.06
0.93 ± 0.02
0.93 ± 0.02
0.95 ± 0.01
0.95 ± 0.01
0.94 ± 0.02
0.94 ± 0.02
0.96 ± 0.01
 The wavelength-dependent indices of refraction and particle size distributions were necessary to extrapolate optical properties at the measured wavelengths over the solar spectrum using Mie theory [Mishchenko et al., 2002]. The real indices of refraction at 550 nm were determined assuming the column integrated AERONET (Aerosol Robotic Network) [Holben et al., 1998] value at 550 nm (1.56, interpolated from the wavelengths measured) on 8 July 2002 represented a weighted average of two discrete values, one for the PBL plume and one for the smoke plume. The value assigned to the PBL plume was 1.43 according to a 7 year average from NASA GSFC in Greenbelt, Maryland [Dubovik et al., 2001]. A value of 1.58 was therefore assigned to the smoke plume, slightly larger than the column integrated value. These refractive indices were then scaled according to the wavelength dependence of the AERONET values. The imaginary indices of refraction were calculated assuming absorption was solely the result of particle BC content. The wavelength dependence was then considered to be proportional to that measured for BC [Chang and Charalampopolous, 1990], adjusted so the ω0 value calculated at 550 nm matched the in situ value.
 The measured particle size distributions were over a limited size range. Thus size distributions were determined using the measured Ångström exponents and the assumed complex indices of refraction at 550 nm. The lognormal distributions were adjusted so that the Ångström exponents calculated from Mie theory matched the measured values. Optical properties (ω0, phase functions) at other wavelengths were then calculated based on the size distributions and wavelength-dependent complex indices of refraction.
3.5. Aerosol Direct Radiative Forcing
 The clear-sky aerosol direct radiative forcing (ΔF) at each location was calculated using the Santa Barbara DISORT Radiative Transfer (SBDART) code [Ricchiazzi et al., 1998]. AOD is proportional to the sum of the scattering and absorption cross sections calculated from Mie theory, allowing measured values to be extrapolated to any wavelength. The calculated values of AOD and ω0 at 0.30, 0.40, 0.55, 0.70, 1.0, 2.0, and 3.0 μm in ∼100 m vertical layers from roughly the surface to 3 km (depending on the vertical survey spiral at each location) were used as inputs to the code. Measured temperature, pressure, water vapor, and ozone values were also input for the lowest 3 km. Surface albedo between 0.47–2.1 μm was taken from the MODIS land team 8 day surface reflectance product [Vermote and Vermuelen, 1999] (see http://modis.gsfc.nasa.gov/data/atbd/atbd_mod08.pdf), derived from satellite measurements during a low-aerosol period 2–3 weeks after this study. Outside of this wavelength range, CERES mixed vegetation albedos were used (T. Charlock et al., 2002, http://www-surf.larc.nasa.gov/surf/pages/explan.html). These values were chosen because of consistency with the MODIS land team surface reflectance at the specified sites.
 ΔF TOA, ΔF sfc, and atmospheric absorption (Atmos) were calculated at each location. To determine the effects of the smoke layer at each location, the program was run with the smoke layer intact and after removal of the layer. The difference between the two sets of outputs was the direct effect of the smoke plume (Table 4). The PBL forcing was compared to a zero aerosol background and was, therefore, not the anthropogenic forcing. Since no background was assumed, a more accurate value for the smoke forcing was thereby obtained. Because the smoke signature was weak at Cumberland and the majority of the plume was not measured at Harford, the values reported for these locations are not necessarily representative of the situation being described.
Table 4. Top of the Atmosphere Forcing (ΔF TOA), Surface Forcing (ΔF sfc), and Atmospheric Absorption (Atmos) Calculated at Vertical Survey Spiral Locations During Flights on 8 July 2002
Difference between the total forcing and PBL values.
−47 ± 7
115 ± 17
−162 ± 24
−26 ± 4
30 ± 5
−56 ± 8
−21 ± 3
85 ± 13
−106 ± 16
−50 ± 8
108 ± 16
−168 ± 25
−20 ± 3
23 ± 3
−43 ± 6
−30 ± 5
85 ± 13
−115 ± 17
−25 ± 4
57 ± 9
−82 ± 12
−27 ± 4
36 ± 5
−63 ± 9
2 ± 1
21 ± 3
−19 ± 3
−42 ± 6
124 ± 19
−166 ± 25
−31 ± 5
57 ± 9
−88 ± 13
−11 ± 2
67 ± 10
−78 ± 12
−57 ± 9
167 ± 25
−224 ± 34
−29 ± 4
29 ± 4
−58 ± 9
−28 ± 4
138 ± 21
−166 ± 25
 Sources of error in the values calculated using the radiative transfer code resulted from uncertainties in the AOD at 550 nm and the extrapolation to other wavelengths using Mie theory. The AOD at 550 nm was found to be linearly proportional to the calculated forcing values, and the uncertainty in the forcing values was therefore assumed to be proportional to the uncertainty in AOD. The extrapolation uncertainty was calculated using sensitivity tests in which the real index of refraction was varied by 0.04 (a value greater than the AERONET uncertainty of 0.03) [Dubovik et al., 2000], and the Ångström exponents used to calculate the size distributions were varied by one standard deviation. These sources of error were then added in quadrature to give the uncertainties listed in Table 4.
 Calculations of the effect of the smoke plume indicated that the forcing at the TOA was small relative to the surface forcing. The values for atmospheric absorption were, therefore, nearly equal to the attenuation at the surface. This indicates that multiple scattering of solar radiation within the optically thick plume typically ended in photon absorption. The fact that the smoke overlaid more scattering, smaller particles also increased the absorption within the smoke layer. The net effect was to cool the surface and heat the air aloft, thereby increasing the vertical stability of the lower atmosphere.
 To quantify this effect, the calculated heating rates at each spiral location were integrated from sunrise to the time of observation. These values were then used to generate vertical heating profiles. Observed temperature profiles from the surface to ∼2 km (below the temperature inversion) were extrapolated to 3 km to provide a temperature profile that did not include the observed inversion. The extrapolated temperature profiles were then subtracted from the measured temperature profiles. The resulting temperature difference was compared to the integrated heating profiles to determine the impact of the absorptive heating on the observed temperature profiles (Figure 14).
 The integrated heating for the morning profiles underestimated the observed temperature difference while the afternoon profiles overestimated the amount of heating. The spatially and temporally dynamic nature of the smoke plume would naturally affect the accuracy of this calculation. However, there was also more smoke above the highest measurements made in the aircraft, which was unaccounted for in the heating rate calculations. Solar attenuation from this unaccounted for smoke would reduce the calculated absorption, and thereby the heating rates, at lower altitudes. This would decrease the amplitude and width of the resulting heating rate profiles. Although these explanations could account for the discrepancy in the afternoon profiles, heating in the smoke layer did not seem to account for the morning inversion.
Figure 15 is the NOAA ARL EDAS meteogram of pressure vertical velocity from 900–700 mb, which shows weak subsidence on the morning of 8 July. Hence adiabatic heating of the descending air may have initially capped the mixed layer and positioned the smoke plume in a thin layer just above it, where heating of the absorptive smoke layer strengthened the inversion. The meteogram shows negative vertical velocity beginning at ∼1500 UTC, indicating upward vertical motion. If the modeled vertical velocity was correct, the subsidence inversion should have dissipated by the afternoon. However, the measured temperature showed an inversion after 2000 UTC. Thus the initial subsidence inversion may have acted to sequester the smoke in a thin enough layer above the PBL where it heated the layer and stabilized the atmosphere enough to create a positive feedback loop for its own sequestration. This prevented vertical mixing and dilution and ultimately increased the regional impact of the plume.
 Measurements were made of trace gas and particle concentrations as well as particle optical properties associated with the smoke plume advected ∼1500 km from Quebec forest fires. Large increases in CO and O3 mixing ratios, total particle scattering and absorption, as well as in the number of particles with optical diameters between 0.30 ∼ 1.0 μm were observed between ∼2 and 3 km. However, very little SO2 (less than 0.1% of the CO) was observed at this altitude.
 The more absorptive smoke particles had a mean single-scattering albedo value of 0.93 ± 0.02 at 550 nm while the underlying PBL particles had a mean value of 0.95 ± 0.01 at 550 nm. The scattering Ångström exponents of the larger, aged smoke particles were between 0.83 ± 0.15 and 1.23 ± 0.38 while the smaller, PBL particles had values between 1.59 ± 0.30 and 1.99 ± 0.32 for α450/700. Calculated aerosol optical depths (550 nm) from just above the surface to ∼3 km ranged from 0.42 ± 0.06 above Cumberland to 1.53 ± 0.21 above Easton.
 Clear-sky aerosol direct radiative forcing was calculated at each location using the SBDART code. Absorption of solar radiation within the smoke plume nearly equaled that which was attenuated at the surface, acting to cool the surface and heat the air aloft. Owing to a morning subsidence inversion, the smoke plume was positioned in a thin layer above the PBL between ∼2 and 3 km. The heating of this layer was concentrated enough to maintain the temperature inversion through the afternoon. This created a positive feedback loop that prevented vertical mixing and dilution, thereby protracting the lifetime of the plume and the regional radiative impacts.
 Funding for this work was provided by the Maryland Department of Environment (MDE), the Mid-Atlantic and Northeast-Visibility Union (MANE-VU), and the U.S. Department of Energy's Atmospheric Radiation Measurement (ARM) program, grant DEFG0201ER63166. The authors are eternally grateful to the AERONET team and to Paul Ricchiazzi and the SBDART code. We gratefully acknowledge the NOAA Air Resources Laboratory (ARL) for the provision of the HY-SPLIT transport and dispersion model and/or READY website (http://www.arl.noaa.gov/ready.html) used in this publication. We would like to thank the MODIS rapid response system team for their image of the smoke plume. A special thanks for their support and contributions goes to Tad Aburn, George Allen, Kevin Civerolo, Tom Downs, Rich Poirot, Matt Seybold, Gopal Sistla, Jeff Stehr, and Jeff Underhill.