Ground solar absorption observations of total column CO, CO 2 , CH 4 , and aerosol optical depth from California's Sequoia Lightning Complex Fire: emission factors and modified combustion efficiency at regional scales
Open accessPublished version of a preprint
Abstract
With global wildfires becoming more widespread and severe, tracking their emissions of greenhouse gases and air pollutants is becoming increasingly important. Wildfire emissions have primarily been characterized by in situ laboratory and field observations at fine scales. While this approach captures the mechanisms relating emissions to combustion phase and fuel properties, their evaluation on regional-scale plumes has been limited. In this study, we report remote observations of total column trace gases and aerosols during the 2020 wildfire season from smoke plumes in the Sierra Nevada of California with an EM27/SUN solar Fourier transform infrared (FTIR) spectrometer. We derive total column aerosol optical depth (AOD), emission factors (EFs) and modified combustion efficiency (MCE) for these fires and evaluate relationships between them, based on combustion phase at regional scales. We demonstrate that the EM27/SUN effectively detects changes in CO, CO 2 , and CH 4 in the atmospheric column at ∼10 km horizontal scales that are attributed to wildfire emissions. These observations are used to derive total column EF CO of 120.5±12.2 and EFCH4 of 4.3±0.8 for a regional smoke plume event in mixed combustion phases. These values are consistent with in situ relationships measured in similar temperate coniferous forest wildfires. FTIR-derived AOD was compared to a nearby AERONET (AErosol RObotic NETwork) station and observed ratios of X CO to AOD were consistent with those previously observed from satellites. We also show that co-located X CO observations from the TROPOspheric Monitoring Instrument (TROPOMI) satellite-based instrument are 9.7±1.3 % higher than our EM27/SUN observations during the wildfire period. Finally, we put wildfire CH 4 emissions in context of the California state CH 4 budget and estimate that 213.7±49.8 Gg CH 4 were emitted by large wildfires in California during 2020, about 13.7 % of the total state CH 4 emissions in 2020. Our work demonstrates a novel application of the ground-based EM27/SUN solar spectrometers in wildfire monitoring by integrating regional-scale measurements of trace gases and aerosols from smoke plumes.
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Written from the paper’s full text.
TL;DR
Ground-based EM27/SUN solar FTIR observations captured total column CO, CO₂, CH₄, and AOD from California’s 2020 Sequoia Lightning Complex and Creek Fire smoke plumes. The authors derive regional-scale emission factors and modified combustion efficiency, compare XCO with TROPOMI, and estimate that California’s 20 largest 2020 wildfires emitted 213.7 ± 49.8 Gg CH₄.
Key findings
- During the 12 September 2020 SQF Complex plume, XCO peaked at 1012.8 ppb and XCO₂ at 421.6 ppm; XCH₄ peaked later on 28 September at 2050.1 ppb due to dairy farm influence.
- For the 12 September plume, EF_CO was 120.5 ± 12.2 g kg⁻¹, EF_CH₄ was 4.3 ± 0.8 g kg⁻¹, and EF_CO₂ was 1632.9 ± 163.3 g kg⁻¹; ER_CO was 0.1161 ± 0.0005, ER_CH₄ was 0.00730 ± 0.00007, and MCE was 0.89 ± 0.21.
- TROPOMI XCO was 9.7 ± 1.3 % higher than EM27/SUN XCO during the wildfire period using 15 km radius and 30 min averaging (19 coincident points, R² = 0.97).
- FTIR-derived AOD at 500 nm reached up to 15 on 12 September; compared with AERONET Fresno, the hourly AOD slope was 1.4 ± 0.3 with R² = 0.39. The top 20 California wildfires of 2020 emitted 213.7 ± 49.8 Gg CH₄, about 13.7 % of total state anthropogenic CH₄ emissions.
Methods
- An EM27/SUN solar-viewing FTIR spectrometer was deployed in Farmersville, California (36.31, −119.19), from 8 September to 17 October 2020, collecting 40 days of daytime column measurements; XCO, XCO₂, and XCH₄ were retrieved with I2S/GFIT/EGI and calibrated against co-located CIT TCCON observations.
- The 12 September SQF Complex smoke plume was used as a case study; emission ratios were calculated from York linear regressions of excess CH₄ and CO versus excess CO₂, emission factors assumed 500 ± 50 g carbon per kg dry biomass, and MCE was calculated as excess CO₂ divided by excess CO + excess CO₂, with averaging-kernel corrections.
- EM27/SUN XCO was compared with TROPOMI CO L2 data using sensitivity tests over 5–50 km radii and 5–30 min averaging; AOD was compared with AERONET Fresno_2; statewide CH₄ emissions were estimated by applying vegetation-specific ER_CH₄ values to CARB CO₂ emission estimates for the 20 largest 2020 wildfires.
Limitations
- Stated by the paper: EM27/SUN observations are daytime-only, optically thick smoke can block the solar disk, ash can degrade mirrors, the line-of-sight instrument can miss plumes (as on 13–14 September), instruments are costly and often require daily personnel, and the nearest AERONET site was about 90 km away, preventing a true side-by-side AOD comparison.
- Stated by the paper: FTIR-derived AOD during high aerosol loading requires further verification because scattered diffuse light may reduce reliability.
- Evident from the text: the EF and MCE results are based on a single case-study day and one regional vegetation type, the TROPOMI comparison has only 19 coincident points in a heterogeneous plume, and dairy farm CH₄/CO₂ enhancements complicate source separation in the San Joaquin Valley.
Model-written summary. Check it against the paper before relying on it.
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Claims the paper makes
29 of 47 cited sources checked · 20 supported · 2 flagged · accuracy not yet measured
- Findingcitation
The mean relative difference of 9.7 ± 1.3 % found in this study is similar to the systematic difference of 9.22 ± 3.45 % between TROPOMI and all TCCON stations.
“The mean relative difference found in this study of 9.7 ± 1.3 % is similar to the systematic difference of 9.22 ± 3.45 % between TROPOMI and all TC-CON stations (Sha et al., 2021).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Sha et al., 2021 source
- Premisecitation
Field-based measurements of biomass burning in temperate forests are limited and sparse.
“Field-based measurements of biomass burning in temperate forests are limited and sparse (Burling et al., 2011;Urbanski, 2014), despite the increase in burning activity in the western USA (Zhuang et al., 2021).”
Quote in the paperSubstantial claim1 of 2 sources checked- cites Burling et al., 2011 source
- cites Urbanski, 2014
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
When an enhancement ratio does not change with dilution and mixing with background air, it equals the emission ratio of a source.
“When an enhancement ratio does not change with dilution and mixing with background air, then the enhancement ratio is equal to the emission ratio (ER) of a source (Yokelson et al., 2013).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Yokelson et al., 2013 source
The Discussion and conclusions states that an enhancement ratio remains equal to the source emission ratio despite dilution when the source emission ratio and background composition are fixed and neither measured species is produced or lost. The citing sentence omits these conditions, so an unchanged ratio under dilution alone does not establish the stated equality. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Premisecitation
Dairy farms near the EM27/SUN site are a large regional source of CH4 emissions.
“The EM27/SUN's location enabled us to sample transient fire plumes from local and state wildfires but was also located near a large cluster of dairy farms, which are a large regional source of CH 4 emissions (Heerah et al., 2021;Marklein et al., 2021).”
Quote in the paperSubstantial claim2 of 2 sources checked - Premisecitation
Bottom-up CH4 inventories tend to report large uncertainties.
“however, these bottom-up CH 4 inventories tend to report large uncertainties (Saunois et al., 2020).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Saunois et al., 2020 source
- Premisecitation
For the Sierra Nevada, only three field-based studies have estimated emission factors in this area.
“For the Sierra Nevada, only three field-based studies have estimated emission factors in this area, despite the increase in wildfire burns over the previous decade (Burling et al., 2011;Yates et al., 2016;Liu et al., 2017).”
Quote in the paperNot a substantial claim2 of 3 sources checked - Findingcitation
The authors' calculated emission factors agree well with recently compiled emission factors for North American conifer forests.
“Additionally, our calculated emission factors also agree well with recently compiled emission factors for North American conifer forests, where Prichard et al. (2020) found a fire average for EF CO 2 of 1629.54 ± 63.43, EF CO of 104.01 ± 34.93, and EF CH 4 of 5.05 ± 2.41.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Prichard et al., 2020 source
- Study design and conductcitation
The uncertainty in the AOD product in this study is 0.02 for a 1 min analysis.
“The uncertainty in the AOD product in this study is determined by adding in quadrature the estimated uncertainty of ∼ 0.006, determined in Barreto et al. (2020), for the 10 co-added interferogram scans for a total uncertainty of 0.02 for a 1 min analysis.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Barreto et al. (2020) source
Section 6.2 (p. 17) reports an RMSE below 0.006 as a conservative uncertainty estimate for the compared AOD products. Section 5.5 (p. 12) says a configuration with 10 co-added scans can take approximately 1 minute, but does not assign it an uncertainty of 0.006. The paper does not derive a total uncertainty of 0.02 for a 1-minute analysis by adding uncertainties in quadrature; its mention of 0.02 in Section 4.1 (p. 6) concerns the upper end of an expected range for AERONET field instruments. (LLM, conf=0.87)
Experimental — accuracy not yet measured
- Findingown data
The EM27/SUN effectively detects changes in CO, CO2, and CH4 in the atmospheric column at approximately 10 km horizontal scales that are attributed to wildfire emissions.
“We demonstrate that the EM27/SUN effectively detects changes in CO, CO 2 , and CH 4 in the atmospheric column at ∼ 10 km horizontal scales that are attributed to wildfire emissions.”
Quote in the paperSubstantial claim - Findingown data
Co-located TROPOMI X CO observations are 9.7 ± 1.3 % higher than EM27/SUN observations during the wildfire period.
“We also show that co-located X CO observations from the TROPOspheric Monitoring Instrument (TROPOMI) satellite-based instrument are 9.7±1.3% higher than our EM27/SUN observations during the wildfire period.”
- Also stated in: § 3.2 Comparison of EM27/SUN and TROPOMI retrievals · plain
“This gives a total of 19 coincident data points and a mean difference of 17.2 ppb, a mean relative difference of 9.7 ± 1.3 %, and R 2 of 0.97.”
Quote in the paperNot a substantial claim - Also stated in: § 3.2 Comparison of EM27/SUN and TROPOMI retrievals · plain
- Findingown data
The measurement on 12 September corresponds to the highest fire radiative power during the record.
“The measurement on 12 September also corresponds to the highest FRP during this record.”
Quote in the paperNot a substantial claim - Findingown data
AOD on 12 September reached values above 15, indicating extremely high aerosol loading from the smoke plume event transported from the SQF Complex.
“We find that the AOD on 12 September reached values above 15, indicating extremely high aerosol loading from the smoke plume event transported from the SQF Complex in the Sierra Nevada.”
Quote in the paperNot a substantial claim - Findingown data
All combinations of TROPOMI radii and EM27/SUN averaging times produce a positive mean bias, meaning TROPOMI overestimates X CO compared to EM27/SUN measurements.
“We find that all combinations produce a positive mean bias, meaning that TROPOMI overestimates X CO compared to the EM27/SUN measurements.”
Quote in the paperNot a substantial claim - Findingown data
The average MCE for the smoke plume on 12 September was 0.89 ± 0.21 (1σ).
“The average MCE for the smoke plume on 12 September was 0.89 ± 0.21 (1σ ), meaning that observations of the smoke plume consisted of a mixture of flaming and smoldering combustion phases (Fig. 6).”
Quote in the paperSubstantial claim - Findingown data
A comparison between FTIR and AERONET hourly AOD gives a slope of 1.4 ± 0.3 and R2 of 0.39.
“A comparison between the FTIR and AERONET hourly AOD can be found in Fig. S3, where we find a slope of 1.4 ± 0.3 and R 2 of 0.39.”
Quote in the paperNot a substantial claim - Findingreasoning
Intraday variability between the FTIR and AERONET sites does not seem to follow the same trend.
“Intraday variability between the sites does not seem to follow the same trend.”
Quote in the paperNot a substantial claim - Findingreasoning
The time since emission of the observed smoke plumes was estimated to be approximately 1.5 h.
“The time since the emission of the observed smoke plumes was estimated to be ∼ 1.5 h.”
Quote in the paperSubstantial claim - Findingnone given
CH4 enhancements during strong smoke events greatly exceeded CH4 enhancements from local dairy sources on hourly timescales.
“Nevertheless, CH 4 enhancements during the strong smoke events greatly exceeded CH 4 enhancements from local dairy sources on hourly timescales.”
Quote in the paperSubstantial claim - Findingown data
The York linear regression fit for TROPOMI versus EM27/SUN X CO is y = (1.35 ± 0.01)x - 39.30 ± 0.58.
“We find a York linear regression fit of y = (1.35± 0.01)x -39.30 ± 0.58.”
Quote in the paperNot a substantial claim - Findingown data
X CO was exceptionally high on 12 September, reaching mixing ratios 10 times higher than the previous days.
“Fire-emitted CO can be observed in the time series, and X CO is exceptionally high on 12 September, reaching mixing ratios 10 times higher than the previous days.”
Quote in the paperNot a substantial claim - Findingown data
The 20 largest wildfires of 2020 emitted 13.7% of total anthropogenic CH4 emissions.
“The 20 largest wildfires of 2020 emitted 92 % of the total CO 2 emissions released from wildfires in that year and emitted 213.7 ± 49.8 Gg CH 4 or 13.7 % of total anthropogenic CH 4 emissions.”
Quote in the paperSubstantial claim - Findingown data
The authors' emission factor estimates from the 12 September event for CO2 (1632.9 ± 163.3 g kg-1), CO (120.5 ± 12.2 g kg-1), and CH4 (4.3 ± 0.8 g kg-1) are within the range of those reported from Sierra Nevada conifer forests.
“Despite the variability, our emission factor estimates from the 12 September event for CO 2 (1632.9± 163.3 g kg -1 ), CO (120.5 ± 12.2 g kg -1 ), and CH 4 (4.3 ± 0.8 g kg -1 ) are within the range of those and 2019 (green) and during the fire period of September-October 2020 (gray).”
Quote in the paperNot a substantial claim - Findingown data
The average EFCH4 for Sierra Nevada wildfires (Creek Fire, SQF Complex, North Complex) is 5.6 ± 1.5 g kg-1.
“For the Sierra Nevada wildfires (Creek Fire, SQF Complex, and North Complex), we derive ER CH 4 _avg by first calculating an average EF CH 4 _avg from the Sierra-Nevadaspecific EF CH 4 in Table 1 (EF CH 4 _avg = 5.6 ± 1.5 g kg -1 ).”
Quote in the paperSubstantial claim - Findingnone given
The 20 largest wildfires of 2020 emitted 92% of the total CO2 emissions released from wildfires in that year.
“The 20 largest wildfires of 2020 emitted 92 % of the total CO 2 emissions released from wildfires in that year and emitted 213.7 ± 49.8 Gg CH 4 or 13.7 % of total anthropogenic CH 4 emissions.”
Quote in the paperNot a substantial claim - Findingown data
The 20 largest wildfires of 2020 emitted 213.7 ± 49.8 Gg CH4.
“The 20 largest wildfires of 2020 emitted 92 % of the total CO 2 emissions released from wildfires in that year and emitted 213.7 ± 49.8 Gg CH 4 or 13.7 % of total anthropogenic CH 4 emissions.”
Quote in the paperSubstantial claim - Findingcitation
The slopes during low smoke and high smoke days were consistent with previous satellite observations by McMillan et al. (2008).
“The slopes during low smoke and high smoke days were consistent with previous satellite observations by McMillan et al. (2008).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites McMillan et al. (2008) source
- Findingown data
The mean relative difference between EM27/SUN and TROPOMI found in this study is 9.7 ± 1.3%.
“The 9.7 ± 1.3 % mean relative difference between the EM27/SUN and TROPOMI found in this study may also be due to the averaging of the smoke plume's heterogeneity within each TROPOMI comparison point.”
Quote in the paperNot a substantial claim - Findingcitation
Methane emission ratios reported for smoldering fires characterized by direct O2/CO measurements for the California 1999 Big Bar Complex fire are consistent with the authors' measurements.
“Methane emission ratios reported for smoldering fires that were characterized by direct O 2 /CO measurements for the California 1999 Big Bar Complex fire are also consistent with our measurements (Lueker et al., 2001).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Lueker et al., 2001 source
- Findingown data
A sensitivity study showed that a smaller radius of 5 or 15 km from TROPOMI observations, paired with 30 min averaging around the overpass time, gave better statistical agreement during wildfire events.
“A sensitivity study showed that a smaller radius of 5 or 15 km from TROPOMI observations, paired with 30 min averaging around the overpass time, gave better statistical agreement during wildfire events.”
Quote in the paperNot a substantial claim - Findingown data
A significant amount of CH4 was emitted from the largest 20 wildfires of 2020 in California.
“Finally, we find that a significant amount of CH 4 was emitted from the largest 20 wildfires of 2020 in California.”
Quote in the paperSubstantial claim - Findingown data
AOD at 500 nm reached extreme levels of up to 15 during the smoke plume event.
“AOD at 500 nm reached extreme levels of up to 15 during the smoke plume event.”
Quote in the paperNot a substantial claim - Findingown data
The authors find a strong agreement between EM27/SUN and TROPOMI, with a mean relative difference of 9.7 ± 1.3% between the platforms.
“We find a strong agreement between the EM27/SUN and TROPOMI, with a mean relative difference of 9.7 ± 1.3 % between the platforms.”
Quote in the paperSubstantial claim - Findingown data
Good agreements were found in the XCO to AOD ratios with those observed over the USA and Canada from MODIS AOD and AIRS CO.
“Good agreements were found in the X CO to AOD ratios with those observed over the USA and Canada from MODIS AOD and AIRS CO.”
Quote in the paperSubstantial claim - Findingown data
The authors' AOD values followed the same intraday pattern as the AERONET observations.
“We found that our AOD values followed the same intraday pattern as the AERONET observations.”
Quote in the paperNot a substantial claim - Findingown data
A spectral dependence of aerosol absorption can be observed, with longer wavelengths recording smaller AOD.
“A time series of the FTIR-derived AOD for the four microwindows is shown in Fig. B2, where a spectral dependance of the aerosol absorption can be observed in the plot with longer wavelengths recording smaller AOD.”
Quote in the paperNot a substantial claim - Findingnone given
The authors' total column MCE and EF with respect to CO2 are the first to be reported from ground-based FTIR measurements in California.
“Our total column MCE and EF with respect to CO 2 are the first to be reported from ground-based FTIR measurements in California.”
Quote in the paperSubstantial claim - Interpretationnone given
The derived EF CO and EF CH4 values are consistent with in situ relationships measured in similar temperate coniferous forest wildfires.
“These values are consistent with in situ relationships measured in similar temperate coniferous forest wildfires.”
Quote in the paperSubstantial claim - Premisenone given
The observed small changes in CO2 with respect to the large atmospheric background have limited previous FTIR-based studies in their ability to derive EFs with respect to CO2.
“The observed small changes in CO 2 with respect to the large atmospheric background has limited previous FTIR-based studies in their ability to derive EFs with respect to CO 2 .”
Quote in the paperSubstantial claim - Study design and conductown data
TCCON sites in southern California (CIT and NASA Armstrong) were not appropriate as background sites because X CO was elevated due to local wildfires during the period.
“Data collected during this period from TCCON sites located in southern California (CIT and NASA Armstrong) were explored as background sites; however, during this period, X CO was elevated due to local wildfires in those areas and thus not appropriate to use during this time.”
Quote in the paperSubstantial claim - Study design and conductown data
Comparison between the ground-based instrument and TROPOMI showed that the 2nd percentile was appropriate for the background.
“Leveraging the comparison between our ground-based instrument and TROPOMI, we compared the spatial background to show that the 2nd percentile was appropriate (Fig. S2 in the Supplement).”
Quote in the paperNot a substantial claim - Interpretationreasoning
CH4/CO2 enhancement ratios observed in this area make it evident that dairy farm operations are the dominant source of CH4 during fire and non-fire days.
“The CH 4 /CO 2 enhancement ratios observed in this area make it evident that dairy farm operations are the dominant source of CH 4 during fire and non-fire days.”
Quote in the paperSubstantial claim - Interpretationown data
The EM27/SUN AOD estimate was able to qualitatively capture the increase in aerosols in the San Joaquin Valley as fires burned more intensely and smoke moved into the valley due to synoptic conditions.
“This suggests that the EM27/SUN AOD estimate was also able to qualitatively capture the increase in aerosols in the SJV as fires burned more intensely and smoke from fires moved into the valley due to synoptic conditions.”
Quote in the paperSubstantial claim - Interpretationreasoning
This study presents the first EFs with respect to CO2 and MCE for wildfires calculated by total column FTIR.
“Here, we present the first EFs with respect to CO 2 and MCE for wildfires calculated by total column FTIR.”
Quote in the paperSubstantial claim - Premisereasoning
Emissions of CO, CH4, and aerosols are more difficult to estimate than CO2 losses because they vary greatly with wildfire combustion phases.
“While CO 2 losses can be estimated as a function of burned area and fuel consumption, emissions of CO, CH 4 , and aerosols are more difficult to estimate because they vary greatly with wildfire combustion phases.”
Quote in the paperSubstantial claim - Interpretationreasoning
Atmospheric column observations can represent the fire as a whole by integrating smoke plume heterogeneity in the vertical atmospheric column.
“The advantage of a plume-integrated MCE is that vegetation is burned differently throughout the fire, and the atmospheric column observations can represent the fire as a whole by integrating the smoke plume heterogeneity in the vertical atmospheric column.”
Quote in the paperSubstantial claim - Interpretationreasoning
The EM27/SUN displays larger variance than TROPOMI because it captures 30 min temporal variability in the plume as it was transported above the instrument.
“The EM27/SUN displays a larger variance than TROPOMI due to capturing the 30 min temporal variability in the plume as it was transported above the instrument.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The authors are able to separate XCH4/XCO2 from dairy sources, fire, or possible urban emissions in the SJV.
“In the vicinity of the measurement site in the SJV, there is a strong influence of dairy farm agriculture and minimal urban emissions away from population centers; thus, we are able to separate X CH 4 / X CO 2 from dairy sources, from fire, or from possible urban emissions.”
Quote in the paperSubstantial claim - Premisereasoning
The limitation in deriving EFs with respect to CO2 has consequently inhibited the calculation of MCE.
“This has consequently inhibited the calculation of MCE.”
Quote in the paperSubstantial claim - Interpretationreasoning
Observations of the 12 September smoke plume consisted of a mixture of flaming and smoldering combustion phases.
“The average MCE for the smoke plume on 12 September was 0.89 ± 0.21 (1σ ), meaning that observations of the smoke plume consisted of a mixture of flaming and smoldering combustion phases (Fig. 6).”
Quote in the paperSubstantial claim - Premisecitation
Similar non-wildfire XCH4/XCO2 ratios were found in Hanford, about 40 km west of the observation site, from an aircraft study ranging from 35.9-44.4 ppb/ppm during a winter campaign.
“Similar non-wildfire ratios of X CH 4 / X CO 2 were found in Hanford, ∼ 40 km west of our observation site, from an aircraft study ranging from 35.9-44.4(ppb/ppm) during a winter campaign (Herrera et al., 2021).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Herrera et al., 2021 source
- Study design and conductown data
A sensitivity test showed that emission ratios did not change significantly if the background was calculated using the 1st-5th percentiles.
“A sensitivity test showed that emission ratios did not change significantly if the background was calculated using the 1st-5th percentiles.”
Quote in the paperNot a substantial claim - Interpretationown data
The calculated atmospheric-column-based EFs are within the expected linear range from in situ aircraft studies from the Sierra Nevada.
“Due to combustion-phase variability in field studies, we compare our atmospheric-columnbased EFs in Fig. 6 with the most relevant studies from the Sierra Nevada, which shows our calculated values are within the expected linear range from in situ aircraft studies.”
Quote in the paperSubstantial claim - Interpretationreasoning
Simultaneous measurements of ground-based total columns and satellites allow for a spatial and temporal understanding of fire events.
“Simultaneous measurements of ground-based total columns and satellites allow for a spatial and temporal understanding of the fire events.”
Quote in the paperSubstantial claim - Interpretationreasoning
Despite limitations, the authors demonstrate the ability to gather new information of EFs, MCE, and AOD for understudied vegetation types and regions.
“Despite the limitations of the EM27/SUN, we demonstrate the ability to gather new information of EFs, MCE, and AOD for understudied vegetation types and regions.”
Quote in the paperSubstantial claim - Premisecitation
The 2020 wildfires released CO2 emissions equivalent to about 36% of California's CO2 budget for the year.
“The immense scale of the 2020 wildfires meant that they released a significant amount of CO 2 emissions, equivalent to about 36 % of the state's CO 2 budget for the year (CARB, 2022a).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites CARB, 2022a
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
The EM27/SUN demonstrated the potential to elucidate trace gas and aerosol relationships even during thick aerosol periods.
“The EM27/SUN demonstrated the potential to elucidate trace gas and aerosol relationships even during thick aerosol periods.”
Quote in the paperSubstantial claim - Study design and conductnone given
Optically thick smoke plumes obstruct sunlight and prohibit continued measurements when the solar disk is not traceable by the instrument's solar tracker.
“Additionally, optically thick smoke plumes obstruct the sunlight and prohibit continued measurements when the solar disk is not traceable by the instrument's solar tracker.”
Quote in the paperNot a substantial claim - Interpretationcitation
Prescribed burn EFs may not represent wildfire EFs that burn under different conditions favorable to wildfires.
“Because prescribed burns typically occur during favorable atmospheric conditions, with specified fuel, and during non-wildfire seasons, it is possible that prescribed burn EFs may not represent wildfire EFs that burn under different conditions favorable to wildfires (Urbanski, 2013).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Urbanski, 2013
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
When used in tandem with satellite observations, the EM27/SUN collects continued temporal observations of a site of interest that a satellite does not.
“However, when used in tandem with satellite observations, our instrument collects continued temporal observations of a site of interest that a satellite does not; thus, synchronous observations provide a better spatiotemporal understanding of the emission source.”
Quote in the paperNot a substantial claim - Study design and conductreasoning
The authors were not able to capture nighttime observations.
“For this reason, we were not able to capture nighttime observations despite the continued release of smoke emissions and the growing concern of increasing nighttime wildfire activity in the continental USA (Freeborn et al., 2022).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Freeborn et al., 2022
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Emission ratios from fires are dependent on vegetation type.
“Emission ratios from fires are dependent on vegetation type; fires in California fell into temperate forest, shrubland or grassland vegetation types (Xu et al., 2022).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Xu et al., 2022
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
Observations of XCH4 suggest that the wildfires may also have had a significant effect on California's CH4 budget.
“Our observations of X CH 4 suggest that the wildfires may also have had a significant effect on the state's CH 4 budget.”
Quote in the paperSubstantial claim - Interpretationreasoning
Pairing stationary ground-based column observations with satellites can help in understanding regional wildfires at a greater spatial and temporal scale.
“Pairing stationary ground-based column observations with satellites can help in understanding regional wildfires at a greater spatial and temporal scale.”
Quote in the paperSubstantial claim - Interpretationown data
EM27/SUN total column measurements can be used for calculating MCE and EFs in smoke plumes transported from wildfires, especially for high-altitude smoke.
“We demonstrate that EM27/SUN total column measurements can be used for calculating MCE and EFs in smoke plumes transported from wildfires, especially for highaltitude smoke, adding important new estimates for fires in this region.”
Quote in the paperSubstantial claim - Interpretationreasoning
Synchronous ground-based and satellite observations provide a better spatiotemporal understanding of the emission source.
“However, when used in tandem with satellite observations, our instrument collects continued temporal observations of a site of interest that a satellite does not; thus, synchronous observations provide a better spatiotemporal understanding of the emission source.”
Quote in the paperSubstantial claim - Interpretationreasoning
The EM27/SUN can help close the gap in the temporal scale of satellite observations.
“As an instrument with the capability of measuring atmospheric columns, the EM27/SUN can help close the gap in the temporal scale of satellite observations.”
Quote in the paperSubstantial claim - Study design and conductreasoning
EM27/SUN solar column observations are limited to daytime hours because the instrument requires the Sun as the light source.
“The EM27/SUN solar column observations are limited to the daytime hours, as the instrument requires the Sun as the light source.”
Quote in the paperSubstantial claim - Interpretationcitation
Biomass burning CH4 may be an important and unaccounted-for positive feedback to climate change.
“Globally, about 10 % of anthropogenic global CH 4 is emitted by biomass burning (Saunois et al., 2020) and may be an important and unaccounted for positive feedback to climate change, given the effect of increasing temperatures on fire severity.”
Quote in the paperNot a substantial claim - Interpretationreasoning
A combination of EM27/SUN and satellite observations can elucidate the spatiotemporal variability in wildfire emissions.
“Here we show that a combination of the two can elucidate the spatiotemporal variability in wildfire emissions.”
Quote in the paperSubstantial claim - Study design and conductown data
The EM27/SUN has different instrument sensitivities defined by averaging kernels for each species measured.
“The EM27/SUN has different instrument sensitivities that are defined by the averaging kernels (AK) for each species measured (shown in Fig. C1).”
Quote in the paperSubstantial claim - Interpretationreasoning
The ground-based EM27/SUN is a useful instrument for understanding emissions of trace gases and aerosols from wildfires at regional scales.
“The ground-based EM27/SUN is a useful instrument for understanding the emissions of trace gases and aerosols from wildfires at regional scales.”
Quote in the paperSubstantial claim - Study design and conductreasoning
The difference in sensitivity for trace gases may introduce a bias in calculated ERs and MCE.
“The difference in sensitivity for the trace gases may introduce a bias in the calculated ERs and MCE.”
Quote in the paperSubstantial claim
- Classified as probably not a substantial claim. 30
- May combine two claims. 54
- The quote only partly states this claim. 2
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationOther column-based studies determined XCH4/XCO2 for urban sources in Los Angeles ranging from 6.65 to 9.96 ppb/ppm in 2015 and 11 ± 2 ‰ in 2008.
“Other column-based studies have determined the X CH 4 /X CO 2 for urban sources in the Los Angeles city, finding ratios ranging from 6.65 to 9.96 (ppb/ppm) in 2015 (Chen et al., 2016) and 11 ± 2 ‰ in 2008 (Wunch et al., 2009).”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites Chen et al., 2016 source
- cites Wunch et al., 2009 source
Table 1 (Summary and Conclusions) gives the xCH₄-to-xCO₂ anomaly slope as 7.8 ± 0.8‰, not 11 ± 2‰. The 11 ± 2‰ value belongs to xCO-to-xCO₂. This verdict concerns only the Wunch et al. value, not the separately cited 2015 range. (LLM, conf=0.90)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationGlobally, about 10% of anthropogenic global CH4 is emitted by biomass burning.
“Globally, about 10 % of anthropogenic global CH 4 is emitted by biomass burning (Saunois et al., 2020) and may be an important and unaccounted for positive feedback to climate change, given the effect of increasing temperatures on fire severity.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Saunois et al., 2020 source
The Biomass burning section (p. 16) estimates biomass-burning emissions at about 5% of global anthropogenic methane emissions in 2008–2017, not about 10%. The separate Biofuel burning section (p. 17) assigns biofuel burning another 3%; the cited paper does not assign their combined share to biomass burning alone. (LLM, conf=0.90)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationWildfires are a major source of air pollutants including particulate matter, carbon monoxide, and greenhouse gases primarily carbon dioxide and methane.
“Wildfires are a major source of air pollutants, including particulate matter (PM), carbon monoxide (CO), and greenhouse gases, primarily carbon dioxide (CO 2 ) and methane (CH 4 ; Akagi et al., 2011;Wiedinmyer et al., 2011;Andreae, 2019).”
Quote in the paperNot a substantial claim2 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe EM27/SUN is a ground-based remote sensing instrument that is relatively portable and robust for field deployments.
“The EM27/SUN is a ground-based remote sensing instrument that is relatively portable and robust for field deployments (Chen et al., 2016;Heerah et al., 2021).”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites Chen et al., 2016 source
- cites Heerah et al., 2021 source
Section 2.2 (page unavailable) calls the EM27/SUN a “compact field deployable” spectrometer and reports its use during summer and winter field campaigns, supporting the ground-based and relatively portable parts of the claim. It does not describe the instrument as robust or assess its durability in field conditions. (LLM, conf=0.82)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationColumn measurements are insensitive to planetary boundary layer growth and are less affected by nearby point sources than in situ measurements, making them a good candidate for regional-scale monitoring.
“Column measurements are insensitive to the planetary boundary layer growth and are less affected by nearby point sources than in situ measurements, making them a good candidate for regional-scale monitoring (Lindenmaier et al., 2014).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Lindenmaier et al., 2014 source
The SI Text (p. 2) says column observations detected regionally elevated CO2 over strong, extended source regions when averaged across several years, offering limited support for regional-scale use. The retrieved passages do not say that column measurements are insensitive to planetary boundary layer growth or less affected by nearby point sources than in situ measurements. (LLM, conf=0.77)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationAERONET stations are frequently calibrated and set the standard for aerosol measurements and validation for satellite products.
“The stations are frequently calibrated, and they set the standard for aerosol measurements and validation for satellite products (Giles et al., 2019).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Giles et al., 2019 source
May combine two claims.
PremisecitationUrban fossil fuel and wildfire XCH4/XCO2 ratios are very similar due to incomplete combustion and are not distinct enough to separate.
“Wunch et al. (2009) determined that urban fossil fuel and wildfire X CH 4 /X CO 2 ratios are very similar due to incomplete combustion, and the ratios are not distinct enough to separate.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Wunch et al., 2009 source
The Methods (§2, paragraph 10; page unavailable) say wildfire-affected days were excluded because they had large CO contributions. The Introduction (§1, paragraph 2; page unavailable) links incomplete combustion to CO, not to an XCH4/XCO2 ratio. Searches for wildfire–fossil-fuel ratio comparisons found no passage saying their XCH4/XCO2 ratios are similar or cannot distinguish the sources. (LLM, conf=0.76)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationUnless instruments are secured properly, measurements require personnel to set up and operate the instrument daily.
“Unless instruments are secured properly, as has been done in long-term FTIR network studies (Frey et al., 2019;Dietrich et al., 2021), measurements require personnel to set up and operate the instrument daily.”
Quote in the paperNot a substantial claim2 of 2 sources checkedMay combine two claims.
PremisecitationIn California, statewide wildfire estimates of CO2 and PM are based on FOFEM, though reports of CH4 estimates from wildfires are lacking.
“In California, statewide wildfire estimates of CO 2 and PM are based on the USA Forest Service's First Order Fire Effects Model (FOFEM; Reinhardt and Dickinson, 2010), though reports of CH 4 estimates from wildfires are lacking, despite the importance of CH 4 for meeting the state's ambitious climate goals.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Reinhardt and Dickinson, 2010 source
The Conclusions table identifies FOFEM as a system used for smoke-production modeling, supporting the identification of the model. The paper does not say that California’s statewide CO2 and PM wildfire estimates are based on FOFEM, or that reports of wildfire CH4 estimates are lacking (searched: California statewide estimates, CO2, PM, and CH4). (LLM, conf=0.82)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationPrichard et al. (2020) found a fire average for North American conifer forests of EFCO2 1629.54 ± 63.43, EFCO 104.01 ± 34.93, and EFCH4 5.05 ± 2.41.
“Additionally, our calculated emission factors also agree well with recently compiled emission factors for North American conifer forests, where Prichard et al. (2020) found a fire average for EF CO 2 of 1629.54 ± 63.43, EF CO of 104.01 ± 34.93, and EF CH 4 of 5.05 ± 2.41.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Prichard et al., 2020 source
Table 5 (shown in the Sample calculations section; page unavailable) gives exactly these fire-average means and standard deviations for CO₂, CO and CH₄. The table labels the figures as applying to western US conifer forests (western pine and mixed conifer), not North American conifer forests as a whole. (LLM, conf=0.88)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationEmpirically quantified EFs in temperate conifer forests are limited in number, and many measurements in these regions are from prescribed burning for land management.
“Empirically quantified EFs in temperate conifer forests are limited in number, and many of the measurements in these regions are from prescribed burning for land management (Burling et al., 2011;Akagi et al., 2011;Urbanski, 2013).”
Quote in the paperSubstantial claim2 of 3 sources checkedMay combine two claims.
PremisecitationBarreto et al. (2020) carefully selected and evaluated several FTIR micro-windows to minimize gas absorption; thus, τg,λ is considered negligible.
“Barreto et al. (2020) carefully selected and evaluated several FTIR micro-windows to minimize the gas absorption; thus, τ g, λ is considered negligible.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Barreto et al. (2020) source
Classified as probably not a substantial claim.
Study design and conductcitationAn averaging kernel correction has been applied to the EM27/SUN observations prior to comparison, following Hedelius et al. (2016).
“An averaging kernel correction has been applied to the EM27/SUN observations prior to comparison, following Hedelius et al. (2016).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Hedelius et al. (2016) source
Classified as probably not a substantial claim.
PremisecitationBarreto et al. (2020) found good agreement between AERONET and TCCON FTIR-derived AOD at the high-altitude Izaña Atmospheric Observatory in Spain.
“To calculate AOD from the EM27/SUN solar measurements, we follow the methods described in Barreto et al. (2020), who found good agreement between AERONET and TC-CON FTIR-derived AOD at the high-altitude Izaña Atmospheric Observatory in Spain.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Barreto et al. (2020) source
May combine two claims.
Findingown dataAn estimated 213.7 ± 49.8 Gg CH4 were emitted by large wildfires in California during 2020, about 13.7 % of the total state CH4 emissions in 2020.
“Finally, we put wildfire CH 4 emissions in context of the California state CH 4 budget and estimate that 213.7±49.8Gg CH 4 were emitted by large wildfires in California during 2020, about 13.7 % of the total state CH 4 emissions in 2020.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataTotal column EF CO is 120.5 ± 12.2 and EF CH4 is 4.3 ± 0.8 for a regional smoke plume event in mixed combustion phases.
“These observations are used to derive total column EF CO of 120.5 ± 12.2 and EF CH 4 of 4.3 ± 0.8 for a regional smoke plume event in mixed combustion phases.”
- Also stated in: § 3.3 Emission factors and modified combustion efficiency · plain
“ER CO was 0.1161 ± 0.0005, and the ER CH 4 was 0.00730 ± 0.00007, resulting in an EF CO 2 of 1632.9±163.3g CO 2 kg -1 biomass combusted, EF CO of 120.5 ± 12.2 g CO kg -1 biomass combusted, and EF CH 4 of 4.3±0.8g CH 4 kg -1 biomass combusted.”
Quote in the paperSubstantial claim- The authors state this as an assumption: 500 ± 50 g of carbon is emitted per kilogram of dry biomass consumed.
- Also stated in: § 3.3 Emission factors and modified combustion efficiency · plain
May combine two claims.
Findingown dataA regional smoke plume captured by NOAA-20 VIIRS on 12 September originated from the SQF Complex and traveled west directly over the measurement site.
“A regional smoke plume was captured by the NOAA-20 VIIRS satellite on 12 September that originated from the SQF Complex and traveled west directly over the measurement site, as seen in Fig. 1b.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataHigh-altitude smoke can be transported large distances, corroborated by ash falling at a site about 60 km from the fire and by satellite imagery.
“Highaltitude smoke can be transported large distances, corroborated by observations of ash falling from the sky at a measurement site ∼ 60 km away from the fire and clearly observable by satellite imagery (Fig. 1b).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataX CO, X CO2, and X CH4 averaged 154 ± 78 ppb, 413 ± 1 ppm, and 1938 ± 27 ppb from 8 September to 17 October.
“X CO , X CO 2 , and X CH 4 averaged at 154±78 ppb, 413±1 ppm, and 1938±27 ppb from 8 September to 17 October.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe FTIR AOD follows the same inter-day trend as AERONET AOD, with a peak on 12 September, although the sites are about 90 km apart and smoke reaching them varied over these spatial scales.
“The observational sites were relatively far from each other (∼ 90 km), and although smoke reaching the two sites varied over these spatial scales, the FTIR AOD follows the same inter-day trend as the AOD measured by the AERONET, with a peak in AOD on 12 September.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataX CO and X CO2 peaked on 12 September at 1012.8 ppb and 421.6 ppm, while X CH4 peaked on 28 September at 2050.1 ppb due to dairy farms in the area.
“X CO and X CO 2 peaked on 12 September at 1012.8 ppb and 421.6 ppm, while X CH 4 peaked on 28 September at 2050.1 ppb due to the dairy farms in the area.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataX CO2 and X CH4 were enhanced on the 12 September smoke event and followed the same trend as X CO over the course of the day.
“X CO 2 and X CH 4 were also enhanced on the 12 September smoke event and followed the same trend as X CO over the course of the day.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingnone givenIn the vicinity of the measurement site in the SJV, there is a strong influence of dairy farm agriculture and minimal urban emissions away from population centers.
“In the vicinity of the measurement site in the SJV, there is a strong influence of dairy farm agriculture and minimal urban emissions away from population centers; thus, we are able to separate X CH 4 / X CO 2 from dairy sources, from fire, or from possible urban emissions.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataER CO was 0.1161 ± 0.0005 and ER CH4 was 0.00730 ± 0.00007 on 12 September.
“ER CO was 0.1161 ± 0.0005, and the ER CH 4 was 0.00730 ± 0.00007, resulting in an EF CO 2 of 1632.9±163.3g CO 2 kg -1 biomass combusted, EF CO of 120.5 ± 12.2 g CO kg -1 biomass combusted, and EF CH 4 of 4.3±0.8g CH 4 kg -1 biomass combusted.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe 12 September smoke plume event had a smaller emission ratio of 7.3 ± 0.07 ppb/ppm compared to larger XCH4/XCO2 enhancement ratios of 38.4 ± 21.7 and 30.5 ± 5.0 ppb/ppm observed in September 2018 and 2019.
“The 12 September smoke plume event is highlighted in Fig. 7 (red markers) and has a smaller emission ratio of 7.3 ± 0.07 (ppb/ppm) compared to larger X CH 4 / X CO 2 enhancement ratios of 38.4 ± 21.7 and 30.5 ± 5.0 (ppb/ppm) observed in September 2018 and 2019.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe monthly background in September was 411.3 ppm for X CO2, 99.4 ppb for X CO, and 1905.3 ppb for X CH4.
“The monthly background in September was 411.3 ppm (parts per million) for X CO 2 , 99.4 ppb for X CO , and 1905.3 ppb for X CH 4 .”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataStrong relationships (R2 > 0.61) were found between EM27/SUN X CO and AOD at 500 nm, with slopes ranging from 29.01 to 92.41 ppb/AOD.
“We find strong relationships (R 2 > 0.61) between the EM27/SUN X CO and AOD at 500 nm, with slopes ranging from 29.01 to 92.41 ppb/AOD (Table 1 and Fig. 3).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataEnhancements of AOD were observed throughout the first week of measurements, with the highest recorded AOD on 12 September.
“Similar to observations of X CO , enhancements of AOD are observed throughout the week, with the highest recorded AOD on 12 September.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataSelecting a 15 km maximum radius with a 30 min averaging time gives 19 coincident data points, a mean difference of 17.2 ppb, a mean relative difference of 9.7 ± 1.3 %, and R2 of 0.97.
“This gives a total of 19 coincident data points and a mean difference of 17.2 ppb, a mean relative difference of 9.7 ± 1.3 %, and R 2 of 0.97.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataDuring September-October 2020 observations, XCH4/XCO2 ratios of dairy farm influence were found on several days, in addition to lower slopes indicative of combustion sources.
“During September-October 2020 observations, X CH 4 / X CO 2 ratios of dairy farm influence were found on several days, in addition to lower slopes indicative of Figure 6.Emission factors (g kg -1 ) for (a) CH 4 and (b) CO as a function of MCE for temperate coniferous forests from Sierra Nevada wildfires.”
Quote in the paperNot a substantial claimThe quote only partly states this claim.
FindingreasoningThe average ERCH4 for Sierra Nevada wildfires is 0.0084 ± 0.0022.
“We then used Eq. ( 2) to solve for ER CH 4 with C T equal to 1 (ER CH 4 _avg = 0.0084 ± 0.0022).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe XCO enhancement from the 2020 wildfires in the Sierra Nevada was observed from space, and in concentrated smoke plumes, XCO was up to 10 times higher than local background during the 12 September smoke plume event.
“The X CO enhancement from the 2020 wildfires in the Sierra Nevada was also observed from space, and in concentrated smoke plumes, X CO was up to 10 times higher than the local background, which was clearly visible in the TROPOMI soundings during the 12 September smoke plume event.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFTIR-derived AOD at 500 nm reached extremely high levels during the 12 September smoke plume event and followed the same trend on other days as the trace gas enhancements.
“FTIR-derived AOD at 500 nm reached extremely high levels during the 12 September smoke plume event and followed the same trend on other days as the trace gas enhancements.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe FTIR-derived AOD showed the same baseline pattern as the AERONET site in Fresno, demonstrating the ability of the EM27/SUN to simultaneously measure AOD and trace gases through a thick plume of smoke.
“However, the FTIR-derived AOD showed the same baseline pattern as the AERONET site in Fresno, demonstrating the ability of the EM27/SUN to simultaneously measure AOD and trace gases through a thick plume of smoke, which can elucidate mechanisms within smoke plumes.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataMirror degradation and exposure to dust or ash from fires can be observed in a declining ln(Vo), and a sudden jump in ln(Vo) is observed in late October and early November after the mirrors were cleaned, suggesting debris had diminished the solar intensity measured by the FTIR instrument.
“Mirror degradation and exposure to dust or ash from fires can be observed in a declining ln(V o ), and a sudden jump in ln(V o ) is observed in late October and early November after the mirrors were cleaned, suggesting that debris had diminished the solar intensity measured by the FTIR instrument.”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningWithout applying the averaging kernel correction, ECH4 would be underestimated by 9.5% and ECO by 14.2% due to difference in sensitivity.
“Without applying this correction, E CH 4 would be underestimated by 9.5 % and E CO by 14.2 % due to the difference in sensitivity.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Findingnone givenWildfire smoke produced overcast skies throughout the western USA during this period, with smoke plumes being transported over long distances.
“Wildfire smoke produced overcast skies throughout the western USA during this period, with smoke plumes being transported over long distances.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe 20 largest wildfires of 2020 emitted 13.7% of total state anthropogenic CH4 emissions, which is more than the commercial and residential, transportation, and electric power sectors.
“These wildfires alone emitted 13.7 % of the total state anthropogenic CH 4 emissions, which is more than the commercial and residential, transportation, and electric power sectors.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe mean relative difference in the correction for the 12 September plume event is -1.1%; not applying this correction would overestimate MCE by 1.1%.
“The mean relative difference in the correction for the 12 September plume event is -1.1 %; thus, not applying this correction would overestimate the MCE by 1.1 %.”
Quote in the paperSubstantial claimMay combine two claims. The quote only partly states this claim.
Study design and conductreasoningAOD was derived from micro-windows within the first detector, so AOD calculations were not affected by the camera misalignment.
“AOD was derived from micro-windows within the first detector; thus, calculations of AOD were not affected.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenThe majority of the TROPOMI X CH4 product was flagged out near the observational site during the measurement period and was not included in the analysis.
“The majority of the TROPOMI X CH 4 product was flagged out near the observational site during our measurement period and hence was not included in this analysis.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductnone givenMeasurement uncertainties for the EFs were calculated by propagating the error from the ER linear regression standard error, C T, and 10 % error from M Biomass.
“The measurement uncertainties for the EFs were calculated by propagating the error from the ER linear regression standard error, C T , and 10 % error from M Biomass .”
Quote in the paperSubstantial claim- The authors state this as an assumption: 500 ± 50 g of carbon is emitted per kilogram of dry biomass consumed.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Study design and conductnone givenCo-locating the EM27/SUN and TCCON instruments ensures system stability of the EM27/SUN after transportation to field sites.
“Co-locating the EM27/SUN and TC-CON instruments ensures system stability of the EM27/SUN after transportation to field sites.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationMonthly average mixing ratios measured in situ at Mauna Loa for CO2 were 411.5 ± 0.2 ppm and CH4 1884.7 ± 1 ppb during September 2020.
“The monthly average mixing ratios measured in situ at Mauna Loa for CO 2 were 411.5±0.2 ppm and CH 4 1884.7± 1 ppb during September 2020 (https://gml.noaa.gov/obop/ mlo/, last access: 15 April 2022).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites https://gml.noaa.gov/obop/ mlo/
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisereasoningGround-based solar spectrometers present an alternative technique to measure and understand fire emissions at regional scales and temporally complement satellite observations.
“Ground-based solar spectrometers present an alternative technique to measure and understand fire emissions at regional scales and temporally complement satellite observations.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe York linear regression considers instrument errors along both axes.
“The York linear regression considers the instrument errors along both axes.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisereasoningThe EM27/SUN provides vertically integrated column measurements of CH4, CO2, and CO, which allows calculation of modified combustion efficiency and emission factors in the total column of smoke plumes downwind of wildfires.
“The EM27/SUN provides vertically integrated column measurements of CH 4 , CO 2 , and CO, which allows for the calculation of the modified combustion efficiency (MCE) and emission factors (EFs) in the total column of smoke plumes downwind of wildfires.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenThe measured X CO on 12 September is the highest reported X CO value in the EM27/SUN literature.
“The measured X CO on 12 September is the highest reported X CO value in the EM27/SUN literature.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenRetrievals of X gas using the EM27/SUN in such dense smoke plumes have not been reported in previous studies.
“Retrievals of X gas , using the EM27/SUN in such dense smoke plumes, has not been reported in previous studies.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Study design and conductnone givenExposing the instrument's mirrors to harsh conditions such as ash decreases the instrument signal and may decrease the lifetime of the mirrors.
“Exposing the instrument's mirrors to harsh conditions such as ash decreases the instrument signal and may decrease the lifetime of the mirrors.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationCARB reported a total of 106.7 Tg of CO2 emitted from 2020 wildfires and individual CO2 emission estimates for the 20 largest wildfires of 2020.
“The California Air Resources Board (CARB) reported that a total of 106.7 Tg of CO 2 was emitted from 2020 wildfires and reported individual CO 2 emission estimates for the 20 largest wildfires of 2020.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites CARB
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Study design and conductnone givenThe majority of the TROPOMI XCH4 product was flagged out completely near the observational site during the 7-15 September period and was not included in this analysis.
“For example, the majority of the TROPOMI X CH 4 product was flagged out completely near the observational site during the 7-15 September period and hence was not included in this analysis.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationRowe et al. (2022) found that multiple scattering on aerosols may be responsible for 5%-10% of increased XCO observations from TROPOMI in thick smoke plumes.
“Alternatively, Rowe et al. (2022) found that multiple scattering on aerosols may be responsible for 5 %-10 % of the increased X CO observations from TROPOMI in thick smoke plumes.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Rowe et al., 2022 source
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Study design and conductnone givenEM27/SUN instruments are costly, which can limit the number of instruments deployed.
“EM27/SUN instruments are also costly, which can limit the number of instruments deployed.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationJacobs (2021) found that wildfire influences in XCO resulted in high observational variance in EM27/SUN observations and suggested this may be due to spatial and temporal variability in the smoke plume measured by TROPOMI and EM27/SUN.
“Jacobs (2021) found that wildfire influences in X CO resulted in a high observational variance in EM27/SUN observations and suggested that this may be due to spatial and temporal variability in the smoke plume measured by TROPOMI and the EM27/SUN.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Jacobs, 2021
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationFires in California fell into temperate forest, shrubland or grassland vegetation types.
“Emission ratios from fires are dependent on vegetation type; fires in California fell into temperate forest, shrubland or grassland vegetation types (Xu et al., 2022).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Xu et al., 2022
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Interpretationnone givenScattered diffuse light during high aerosol loading from biomass burning may decrease the reliability of AOD observations, so further verification of FTIR-derived AOD during high aerosol loading is required.
“Scattered diffuse light during high aerosol loading from biomass burning may decrease the reliability of the AOD observations; thus, further verification of the FTIRderived AOD during high aerosol loading is required.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationnone givenEM27/SUN observations can be used as a validation tool for orbiting satellites like TROPOMI, OCO-2, OCO-3, and future satellites.
“Furthermore, the EM27/SUN observations can be used as a validation tool for orbiting satellites like TROPOMI, the Orbiting Carbon Observatory-2 (OCO-2), OCO-3, and future satellites.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThe mean relative difference between EM27/SUN and TROPOMI may be due to averaging of smoke plume heterogeneity within each TROPOMI comparison point.
“The 9.7 ± 1.3 % mean relative difference between the EM27/SUN and TROPOMI found in this study may also be due to the averaging of the smoke plume's heterogeneity within each TROPOMI comparison point.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductreasoningThe FTIR is limited to the line of sight of the instrument and on occasion can miss the plume, as happened on 13 and 14 September.
“Although total column measurements are sensitive to larger scales than in situ stations, the FTIR is limited to the line of sight of the instrument and on occasion can miss the plume, like we did on 13 and 14 September, whereas aircraft observations have extensive spatial reach and more flexibility in locating and sampling plumes to obtain spatially rich information of the plume.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAOD at the AERONET site in Fresno increased by 3 to 5 times in the yearly average from 2002-2019.
“The air quality index in the SJV was at an all-time high in the hazardous range for weeks during the 2020 wildfire season (Morris and Dennis, 2020), and AOD at the AERONET site in Fresno, the yearly average from 2002-2019 increased by 3 to 5 times (Cho et al., 2022).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Cho et al., 2022
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe air quality index in the SJV was at an all-time high in the hazardous range for weeks during the 2020 wildfire season.
“The air quality index in the SJV was at an all-time high in the hazardous range for weeks during the 2020 wildfire season (Morris and Dennis, 2020), and AOD at the AERONET site in Fresno, the yearly average from 2002-2019 increased by 3 to 5 times (Cho et al., 2022).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Morris and Dennis, 2020
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Study design and conductnone givenThe nearest AERONET station was relatively far away from the EM27/SUN site, so a true side-by-side comparison cannot be done.
“Since the nearest AERONET station was relatively far away from our EM27/SUN site, we cannot do a true side-by-side comparison.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Study design and conductnone givenStationary, ground-based instruments are limited to observing a line of sight or point in space.
“Conversely, stationary, ground-based instruments are limited to observing a line of sight or point in space.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThe EFs, MCE, and their uncertainties fall within the range of expected values, lending confidence that this technique can be used for studying combustion phases of wildfires for other vegetation types.
“The EFs, MCE, and their uncertainties fall within the range of expected values, thus lending confidence that this technique can be used for studying combustion phases of wildfires for other vegetation types.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductreasoningThe EM27/SUN measured continuously in the daytime, filling in temporal gaps from TROPOMI's single overpass observations.
“The EM27/SUN measured continuously in the daytime, filling in the temporal gaps from the satellite TROPOMI's single overpass observations.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductnone givenThe EM27/SUN measures a vertically integrated regional signal but is limited spatially compared to observations from satellites.
“The EM27/SUN measures a vertically integrated regional signal but is limited spatially compared to observations from satellites.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataDue to a camera misalignment on 2 and 3 September, XCO correction factors for those dates are not reported.
“Due to a camera misalignment on 2 and 3 September, X CO correction factors for those dates are not reported.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenA cloud filter is applied to the spectra based on measured fractional variation in solar intensity, set to a maximum of 0.5% variability to ensure minimum cloud interference.
“A cloud filter is applied to the spectra based on the measured fractional variation in solar intensity (fvsi).We set this quality filter to a maximum of 0.5 % variability to ensure minimum cloud interference.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThis agreement is consistent with systematic differences between TCCON and TROPOMI, in addition to previous studies of EM27/SUN XCO for wildfires in rural Alaska and Idaho.
“This is consistent with systematic differences between TCCON and TROPOMI, in addition to previous studies of EM27/SUN X CO for wildfires in rural Alaska and Idaho.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductown dataThe EM27/SUN was co-located with the CIT TCCON for 2-3 days before and after the field measurements.
“The EM27/SUN was co-located with the CIT TCCON for 2-3 d before (2 and 3 September 2020) and after (30 and 31 October and 1 November 2020) the field measurements.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataWildfires are an important source of CH4 for California and may delay meeting the state's ambitious goals for reducing greenhouse gas emissions.
“Given the importance of the CH 4 emissions reduction for the state, our study suggests that wildfires are an important source of CH 4 for California and may delay the meeting of the state's ambitious goals for reducing greenhouse gas emissions.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductown dataDue to varying ln(Vo), AOD is calculated only for the first week of data collection (8-15 September), using ln(Vo) obtained during the earlier period of September.
“Due to the varying ln(V o ), we calculate AOD only for the first week of data collection (8-15 September), using the ln(V o ) obtained during the earlier period of September (summarized in Table B1).”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationnone givenThe portable nature of the EM27/SUN allows for deployment downwind of fires and for calculating important variables like EFs and MCE.
“The portable nature of the EM27/SUN allows for deployment downwind of fires and for calculating important variables like EFs and MCE.”
Quote in the paperSubstantial claim
The authors state this as an assumption.
500 ± 50 g of carbon is emitted per kilogram of dry biomass consumed.
“while assuming 500±50 g of carbon is emitted per kilogram of dry biomass consumed (M Biomass ; Burling et al., 2010;Akagi et al., 2011).”
The authors state this as an assumption.
A linear model forced through the origin describes the relationship between EM27/SUN and TCCON X gas measurements for calibration.
“assuming a linear model forced through the origin for each gas (e.g., X TCCON = X EM27 R gas ; Chen et al., 2016;Hedelius et al., 2016).”
The paper relies on this without support.
During the flaming phase of a fire, CO2 is produced and convection created by high flame temperatures produces lofting of smoke.
“During the flaming phase of a fire, CO 2 is produced, and convection is created by high flame temperatures, producing the lofting of smoke.”
The paper relies on this without support.
Smoldering fires burn at lower intensity and produce incomplete combustion side products like CO, CH4, and organic carbon aerosol.
“In contrast to the flaming phase, smoldering fires burn at lower intensity, and incomplete combustion side products like CO, CH 4 , and organic carbon aerosol are produced.”
The paper relies on this without support.
Dairy farms emit significant amounts of CH4 from enteric fermentation and on-farm manure management.
“Dairy farms are known to emit significant amounts of CH 4 from the animals' enteric fermentation and on-farm manure management.”
The paper relies on this without support.
Over the past 50 years, approximately three-quarters of the area burned by wildfires in California has been in the Sierra Nevada and North Coast.
“Over the past 50 years, approximately three-quarters of the area burned by wildfires in California has been in the Sierra Nevada and North Coast, highlighting the importance of studying emission factors from fires in these ecosystems.”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
AOD intraday agreement is described inconsistently
MinorThe conclusions say the FTIR-derived AOD followed AERONET's intraday pattern, whereas the results explicitly say intraday variability at the two sites did not follow the same trend.
“We found that our AOD values followed the same intraday pattern as the AERONET observations.”
“Intraday variability between the sites does not seem to follow the same trend.”
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Wildland fire emissions, carbon, and climate: Emission factors
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“These instruments are the basis for the ground-based network of the Fourier transform infrared (FTIR) COCCON (COllaborative Carbon Column Observing Network; Frey et al., 2019; Vogel et al., 2019; Alberti et al., 2022a, b), which complements the NDACC (Network for the Detection of At-mospheric Composition Change; Bader…”
A Multiyear Global Surface Wind Velocity Dataset Using SSM/I Wind Observations
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“We follow the a priori substitution method described in Jacobs (2021) and Sha et al. (2021) to calculate an additive factor for the EM27/SUN.”
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“These instruments are the basis for the ground-based network of the Fourier transform infrared (FTIR) COCCON (COllaborative Carbon Column Observing Network; Frey et al., 2019; Vogel et al., 2019; Alberti et al., 2022a, b), which complements the NDACC (Network for the Detection of At-mospheric Composition Change; Bader…”
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“The EM27/SUN is a ground-based remote sensing instrument that is relatively portable and robust for field deployments (Chen et al., 2016; Heerah et al., 2021).”
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“4 2 the same spectral region (Hase et al., 2016).”
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“When an enhancement ratio does not change with dilution and mixing with background air, then the enhancement ratio is equal to the emission ratio (ER) of a source (Yokelson et al., 2013).”
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“…al., 2022a, b), which complements the NDACC (Network for the Detection of At-mospheric Composition Change; Bader et al., 2017; De Maz-ière et al., 2018) and TCCON (Total Column Carbon Observing Network), two high-resolution FTIR trace gas monitoring networks (Toon et al., 2009; Wunch et al., 2011).”
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“…for the ground-based network of the Fourier transform infrared (FTIR) COCCON (COllaborative Carbon Column Observing Network; Frey et al., 2019; Vogel et al., 2019; Alberti et al., 2022a, b), which complements the NDACC (Network for the Detection of At-mospheric Composition Change; Bader et…”
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Trace gas and particulate emissions from the 2003 southern California wildfires
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Lindenmaier, R., Dubey, M. K., Henderson, B. G., Butterfield, Z. T., Herman, J. R., Rahn, T., & Lee, S.-H. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1321883111 · Cited by 56 · see citing works
Self-citationLutsch, E., Strong, K., Jones, D. B. A., Blumenstock, T., Conway, S., Fisher, J. A., Hannigan, J. W., Hase, F., Kasai, Y. J., Mahieu, E., et al. (2020) · Atmospheric chemistry and physics · doi:10.5194/acp-20-12813-2020 · Cited by 55 · see citing works
Wilmot, T. Y., Mallia, D. V., Hallar, A. G., & Lin, J. C. (2022) · Scientific Reports · doi:10.1038/s41598-022-16607-3 · Cited by 52 · see citing works
McMillan, W. W., Warner, J. X., Comer, M. M., Maddy, E., Chu, A., Sparling, L., Eloranta, E., Hoff, R., Sachse, G., Barnet, C., et al. (2008) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2007jd009711 · Cited by 50 · see citing works
Severe Californian wildfires in November 2018 observed from space: the carbon monoxide perspective
Schneising, O., Buchwitz, M., Reuter, M., et al. (2020) · Atmospheric chemistry and physics · doi:10.5194/acp-20-3317-2020 · Cited by 49 · cited 1× · see citing works
“While several space-based instruments can retrieve and derive emissions of important trace gases globally, observations of trace gases are limited by spatiotemporal coverage and aerosol burden from smoke plumes (Schneising et al., 2020).”
Identifying fire plumes in the Arctic with tropospheric FTIR measurements and transport models
Viatte, C., Strong, K., Hannigan, J. W., Nussbaumer, E. A., Emmons, L. K., Conway, S., Paton‐Walsh, C., Hartley, J. W., Benmergui, J., & Lin, J. C. (2015) · Atmospheric chemistry and physics · doi:10.5194/acp-15-2227-2015 · Cited by 47 · see citing works
Viatte, C., Strong, K., Walker, K. A., & Drummond, J. R. (2014) · Atmospheric measurement techniques · doi:10.5194/amt-7-1547-2014 · Cited by 46 · see citing works
Air-Quality Impacts and Intake Fraction of PM 2.5 during the 2013 Rim Megafire
Navarro, K. M., Cisneros, R., O’Neill, S. M., Schweizer, D. W., Larkin, N. K., & Balmes, J. R. (2016) · Environmental Science & Technology · doi:10.1021/acs.est.6b02252 · Cited by 43 · see citing works
Large wildfire driven increases in nighttime fire activity observed across CONUS from 2003–2020
Freeborn, P. H., Jolly, W. M., Cochrane, M. A., & Roberts, G. (2021) · Remote Sensing of Environment · doi:10.1016/j.rse.2021.112777 · Cited by 36 · see citing works
Wildfire burn severity and emissions inventory: an example implementation over California
Xu, Q., Westerling, A. L., Notohamiprodjo, A., Wiedinmyer, C., Picotte, J. J., Parks, S. A., Hurteau, M. D., Marlier, M. E., Kolden, C. A., Sam, J. A., et al. (2022) · Environmental Research Letters · doi:10.1088/1748-9326/ac80d0 · Cited by 31 · see citing works
Trace gases and air mass origin at Kaashidhoo, Indian Ocean
Lobert, J. M., & Harris, J. M. (2002) · Journal of Geophysical Research Atmospheres · doi:10.1029/2001jd000731 · Cited by 30 · see citing works
Yates, E. L., Iraci, L. T., SINGH, H. B., TANAKA, T., Roby, M. C., Hamill, P., Clements, C. B., Lareau, N. P., Contezac, J., Blake, D. R., et al. (2015) · Atmospheric Environment · doi:10.1016/j.atmosenv.2015.12.038 · Cited by 29 · see citing works
Facility-scale inventory of dairy methane emissions in California: implications for mitigation
Marklein, A. R., Meyer, D., Fischer, M. L., Jeong, S., Rafiq, T., Carr, M., & Hopkins, F. M. (2021) · Earth System Science Data · doi:10.5194/essd-13-1151-2021 · Cited by 28 · cited 1× · see citing works
“The EM27/SUN’s location enabled us to sample transient fire plumes from local and state wildfires but was also located near a large cluster of dairy farms, which are a large regional source of CH4 emissions (Heerah et al., 2021; Marklein et al., 2021).”
BackgroundSelf-citationAlberti, C., Tu, Q., Hase, F., Makarova, M., Gribanov, K. G., Foka, S. C., Zakharov, V., Blumenstock, T., Buchwitz, M., Diekmann, C. J., et al. (2022) · Atmospheric measurement techniques · doi:10.5194/amt-15-2199-2022 · Cited by 27 · cited 1× · see citing works
“…network of the Fourier transform infrared (FTIR) COCCON (COllaborative Carbon Column Observing Network; Frey et al., 2019; Vogel et al., 2019; Alberti et al., 2022a, b), which complements the NDACC (Network for the Detection of At-mospheric Composition Change; Bader et al., 2017; De Maz-ière…”
The oxygen to carbon dioxide ratios observed in emissions from a wildfire in northern California
Lueker, T. J., Keeling, R. F., & Dubey, M. K. (2001) · Geophysical Research Letters · doi:10.1029/2000gl011860 · Cited by 26 · see citing works
Self-citationRowe, J. P., Zarzana, K. J., Kille, N., Borsdorff, T., Goudar, M., Lee, C. F., Koenig, T. K., Romero-Alvarez, J., Campos, T., Knote, C., et al. (2022) · ACS Earth and Space Chemistry · doi:10.1021/acsearthspacechem.2c00048 · Cited by 25 · see citing works
Heerah, S., Frausto‐Vicencio, I., Jeong, S., Marklein, A. R., Ding, Y., Meyer, A. G., Parker, H. A., Fischer, M. L., Franklin, J. E., Hopkins, F. M., et al. (2021) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2021jd034785 · Cited by 22 · cited 1× · see citing works
“The EM27/SUN is a ground-based remote sensing instrument that is relatively portable and robust for field deployments (Chen et al., 2016; Heerah et al., 2021).”
Self-citationSagar, V. K., Pathakoti, M., Mahalakshmi, D. V., Rajan, K. S., Rama, S. S. M. V., Hase, F., Dubravica, D., & Sha, M. K. (2022) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2022.3171216 · Cited by 21 · see citing works
Significant light absorption of brown carbon during the 2020 California wildfires
Cho, C., Kim, S., Choi, W., et al. (2021) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2021.152453 · Cited by 19 · cited 1× · see citing works
“Although the Creek Fire began on 5 September, the air quality began to deteriorate a few days after, possibly due to the westerly downslope winds that pushed the smoke east of the Sierra Nevada at the beginning of the fire (Cho et al., 2022).”
Spectral Aerosol Optical Depth Retrievals by Ground-Based Fourier Transform Infrared Spectrometry
Barreto, Á., García, O. E., Schneider, M., García, R. D., Hase, F., Sepúlveda, E., Almansa, A. F., Cuevas, E., & Blumenstock, T. (2020) · Remote Sensing · doi:10.3390/rs12193148 · Cited by 18 · see citing works
Kampe, T. U., & Sokolik, I. N. (2007) · Geophysical Research Letters · doi:10.1029/2007gl029805 · Cited by 14 · see citing works
The CU Airborne Solar Occultation Flux Instrument: Performance Evaluation during BB-FLUX
Kille, N., Zarzana, K. J., Romero‐Alvarez, J., et al. (2022) · ACS Earth and Space Chemistry · doi:10.1021/acsearthspacechem.1c00281 · Cited by 14 · see citing works
Herrera, S. A., Diskin, G. S., Harward, C., Sachse, G., De Wekker, S. F. J., Yang, M., Choi, Y., Wisthaler, A., Mallia, D. V., & Pusede, S. E. (2021) · Environmental Science & Technology · doi:10.1021/acs.est.0c08418 · Cited by 11 · see citing works
Heintzenberg, J., Wiedensohler, A., & Kütz, S. (1999) · Journal of Atmospheric and Oceanic Technology · doi:10.1175/1520-0426(1999)016 · Cited by 6 · see citing works
Ahangar, F. E., Cobian‐Iñiguez, J., & Cisneros, R. (2022) · Fire · doi:10.3390/fire5030064 · Cited by 5 · see citing works
EM27/SUN GGG interferogram processing suite
Hedelius, J. K., & Wennberg, P. (2014) · CaltechDATA · doi:10.22002/d1.306 · Cited by 5 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- Jacobs, N.: Vetting Model and Satellite-Based Estimates of Regional Scale Carbon Exchange at Northern High Latitudes Using Solar-Viewing Infrared Spectroscopy, Ph.D. Dissertation, University of Alaska Fairbanks, ProQuest Publishing, https://www.proquest.com/openview/71a47e7ba937aa70a227fed926ab5826/1?pq-origsite=gscholar&cbl=18750&diss=y (last access: 15 September 2022), 2021.
Cited by
Sorted by citations
HTAP3 Fires: towards a multi-model, multi-pollutant study of fire impacts
Whaley, C. H., Butler, T. M., Adame, J. A., Ambulkar, R., Arnold, S. R., Buchholz, R. R., Gaubert, B., Hamilton, D. S., Huang, M., Hung, H., et al. (2025) · Geoscientific model development · doi:10.5194/gmd-18-3265-2025 · Cited by 15 · see citing works
Radiative impact of record-breaking wildfires from integrated ground-based data
Kassianov, E., Flynn, C., Barnard, J. C., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-85103-1 · Cited by 7 · see citing works
Odwuor, A., Yañez, C. C., Chen, Y., Hopkins, F. M., Moreno, A., Xu, X., Czimczik, C. I., & Randerson, J. T. (2023) · Environmental Research Letters · doi:10.1088/1748-9326/aced17 · Cited by 6 · see citing works
Self-citationHadiwijoyo, E., Rijal, H. B., & Abdullah, N. (2025) · Fire · doi:10.3390/fire8120471 · Cited by 4 · see citing works
Mendoza, D., Crosman, E. T., Benney, T. M., et al. (2024) · Fire · doi:10.3390/fire7060184 · Cited by 3 · see citing works
Alvárez, Ó., Barreto, Á., García, O., Hase, F., García, R. D., Gröbner, J., León-Luis, S. F., Sepúlveda, E., Carreño, V., Alcántara, A., et al. (2023) · Atmospheric measurement techniques · doi:10.5194/amt-16-4861-2023 · Cited by 2 · see citing works
Gadhavi, H., Arora, A., Jain, C. D., et al. (2025) · Atmospheric measurement techniques · doi:10.5194/amt-18-4497-2025 · Cited by 1 · see citing works
Total Column GHG Ratios From Ground‐Based Measurements Inform Emissions Inventories
Meyer, A. G., Franklin, J. E., Harkins, C., McDonald, B., & Lin, J. C. (2025) · Journal of Geophysical Research Atmospheres · doi:10.1029/2025jd044398 · Cited by 1 · see citing works
“Ratios from EM27/SUN measurements were used to quantify combustion efficiency and emission factors from urban emissions in Beijing (Che et al., 2022) and a large wildfire in California (Frausto‐Vicencio et al., 2023).”
Self-citationVillalobos, Y., Canadell, J. G., Keller, E. D., et al. (2025) · Global Biogeochemical Cycles · doi:10.1029/2024gb008484 · Cited by 1 · see citing works
“…and atmospheric CO 2 on CH 4 emissions from natural wetlands (Peng et al., 2022; Zhang et al., 2023) and wildfires (Byrne et al., 2024; Frausto‐Vicencio et al., 2023), which have increased this century in response to climate change (Jackson, Saunois, et al., 2020; Saunois et al.,…”
Advancing the BRAMS wildfire–atmosphere modelling system: application to an extreme wildfire event
Menezes, I., Rodrigues, L. F., Longo, K. M., Freitas, M. F. E., Freitas, S. R., Braz, R., Oliveira, V., Coelho, S., & Miranda, A. I. (2026) · Geoscientific model development · doi:10.5194/gmd-19-3801-2026
- Authors
- Frausto-Vicencio, I., Heerah, S., Meyer, A. G., Parker, H. A., Dubey, M., & Hopkins, F. M.
- Affiliations
- Los Alamos National Laboratory (US)
- California Institute of Technology (US)
- University of California, Riverside (US)
- Corresponding author
- Dubey, Manvendra
- Hopkins, Francesca M.
- ORCID
- Venue
- Atmospheric Chemistry and Physics
- Publisher
- Copernicus GmbH
- Published
- 2023-04-14
- Volume
- 23
- Issue
- 7
- Pages
- 4521-4543
- ISSN
- 1680-7316 (ISSN-L)
- 1680-7324
- OpenAlex
- W4376171088
- Semantic Scholar
- e606900d0cf7d10e336cfe7af7fdfe3f8f81dd82
- Cited by
- 10
- References
- 79
- Citations by year
- 2026: 1 · 2025: 6 · 2024: 1 · 2023: 2
- FWCI
- 1.11
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Atmospheric chemistry and physics (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Office of the President, University of California (Grant LFR-18-548581)
- Topics
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Atmospheric chemistry and aerosols
- Physical Sciences › Environmental Science › Global and Planetary Change › Fire effects on ecosystems
- Physical Sciences › Environmental Science › Global and Planetary Change › Atmospheric aerosols and clouds
- Keywords
- wildfire emissions, carbon monoxide, carbon dioxide, methane, aerosol optical depth, emission factors, modified combustion efficiency, combustion phase, smoke plumes, TROPOMI, AERONET, methane budget, greenhouse gas emissions, Sierra Nevada, California wildfires
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-19.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-19.
Cited sources are checked by gpt-6-sol.
Statistics and arithmetic are recomputed, not judged.
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