Research underconstruction - Revision history

Atmoschem at 01:48, 6 May 2014

2014-05-06T01:48:42Z

Atmoschem at 01:46, 6 May 2014

2014-05-06T01:46:59Z

Atmoschem at 01:45, 6 May 2014

2014-05-06T01:45:30Z

Atmoschem at 01:44, 6 May 2014

2014-05-06T01:44:44Z

Atmoschem at 01:41, 6 May 2014

2014-05-06T01:41:56Z

Atmoschem at 01:41, 6 May 2014

2014-05-06T01:41:40Z

Atmoschem at 01:39, 6 May 2014

2014-05-06T01:39:23Z

Atmoschem at 01:31, 6 May 2014

2014-05-06T01:31:42Z

Atmoschem at 01:26, 6 May 2014

2014-05-06T01:26:38Z

Atmoschem at 01:22, 6 May 2014

2014-05-06T01:22:23Z

← Older revision		Revision as of 01:48, 6 May 2014
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		+	{{Box\|type=l_red_light\|text='''Impacts of zinc and calcium on the aqueous formation of organic acids'''
		+
		+	{{HideProject\|
		+	Fu et al., in progress.
		+	}}
		+	}}

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 Volatile organic compounds (VOC) impact the oxidizing power of the atmosphere and produce ozone and secondary organic aerosols. VOCs are emitted into the atmosphere from both natural and anthropogenic activities, and quantifying these many overlapping sources can be a challenge.  We use remote sensing (satellite) and in situ observations to make 'top-down' estimates of VOC emissions from different sources. We use chemical transport models to evaluate the impact of VOCs on tropospheric chemistry.
-{{Box|type=l_red_light|text='''Carbonaceous aerosols in China: top-down constraints on primary sources and estimation of secondary contribution'''
 {{HideProject|
-{{:Papers:Fu_et_al_2012}}
+{{:Papers:Fu_et_al_2008}}
 }}

@@ Line 164: / Line 164: @@
-{{Box|type=l_red_light|text=Impacts of smoke plume injection heights over the Peninsular Southeast Asia on long-range pollutant transport}}
+{{Box|type=l_red_light|text='''Injection heights of springtime biomass-burning plumes over peninsular Southeast Asia and their impacts on long-range pollutant transport'''
 {{HideProject|
-Publication: Jian and Fu (2014)
+{{:Papers:Jian_and_Fu_2014}}
 }}

@@ Line 1: / Line 1: @@
 =Sources of Chinese air pollutants=
 Team members: [[Nan LI]], [[Yue JIAN]], [[Heng TIAN]], [[Hansen CAO]], [[Tzung-May FU]]
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-{{Box|type=l_red_light|text='''Sources of PM2.5 in a coastal city in Southern China in spring'''
+{{Box|type=l_red_light|text='''Air-Sea Exchange of Volatile Organic Compounds: A New Model with Microlayer Effects'''
 {{HideProject|
@@ Line 148: / Line 156: @@
 }}
 }}
 =Long-range transport of pollutants=
 Team member: [[Yue JIAN]]
 {{Box|type=l_red_light|text=Impacts of smoke plume injection heights over the Peninsular Southeast Asia on long-range pollutant transport}}
 {{HideProject|
 Publication: Jian and Fu (2014)
 }}

@@ Line 51: / Line 51: @@
 {{HideProject|
-Publications | Millet et al. [2007], Palmer et al. [2006]
+Publications : Millet et al. [2007], Palmer et al. [2006]
 }}
 }}

@@ Line 40: / Line 40: @@
-{{Box|type=l_red_light|text='''Space-based formaldehyde measurements as constraints on volatile
+{{Box|type=l_red_light|text='''Space-based formaldehyde measurements as constraints on volatile organic compound emissions in east and south Asia and implications for ozone'''
 organic compound emissions in east and south Asia and implications
 for ozone'''
 {{HideProject|
@@ Line 49: / Line 47: @@
 }}
 {{Box|type=l_red_light|text=Using satellite HCHO observations to constrain biogenic isoprene emissions in North America
 {{HideProject|
@@ Line 65: / Line 64: @@
-{{Box|type=l_red_light|text='''Global budgets of atmospheric glyoxal and methylglyoxal, and
+{{Box|type=l_red_light|text='''Global budgets of atmospheric glyoxal and methylglyoxal, and implications for formation of secondary organic aerosols'''
 implications for formation of secondary organic aerosols'''
 {{HideProject|
@@ Line 72: / Line 70: @@
 }}
 }}
 {{Box|type=l_red_light|text='''Carbonaceous aerosols in China: top-down constraints on primary sources and estimation of secondary contribution'''
@@ Line 79: / Line 78: @@
 }}
   }}
 {{Box|type=l_red_light|text='''Sources of secondary organic aerosols in the Pearl River Delta region in fall: Contributions from the aqueous reactive uptake of dicarbonyls'''
@@ Line 87: / Line 87: @@
 }}
-{{HideProject|
+{{Box|type=l_red_light|text='''Seasonal and spatial variability of the OM/OC mass ratios and high regional correlation between oxalic acid and zinc in Chinese urban organic aerosols'''
-Publication: Xing et al. (2013)
-aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
 {{HideProject|
-Publication: Xing et al. (2013)
+{{:Papers:Xing_et_al_2013}}
 }}
 {{Box|type=l_red_light|text='''A new physically-based parameterization scheme for organic aerosol size evolution'''
@@ Line 114: / Line 107: @@
 Team members: [[Jinxuan CHEN]], [[Yaping MA]], [[Wanying KANG]], [[Aoxing ZHANG]], [[Ye QING]]
-{{Box|type=l_red_light|text=Accounting for the impacts of the subgrid variability of RH on aerosol optical depth in large-scale models}}
+{{Box|type=l_red_light|text='''Accounting for the subgrid variability of humidity on aerosol optical depth in large-scale models'''
 {{HideProject|
-Publication:
+Ye et al., in preparation.
 }}
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 The ocean can act both as a source and a sink of atmospheric organic material. The air/sea exchange of organic materials is complexly regulated by both physical and biological conditions at the interface and poorly understood. We developed a new conceptual model to account for these physical and biological processes, including the presence of microfilms, production/consumption of organic matter by marine life, and other photochemical processes.
-Publications: He and Fu (2013)
 =Long-range transport of pollutants=

@@ Line 40: / Line 40: @@
-{{Box|type=l_red_light|text=Top-down constraints on NMVOC emissions from East and South Asia}}
+{{Box|type=l_red_light|text='''Space-based formaldehyde measurements as constraints on volatile
 {{HideProject|
-Publication: Fu et al. [2007]
+{{:Papers:Fu_et_al_2007}}
 }}
 {{HideProject|
-Publication: Millet et al. [2007], Palmer et al. [2006]
+'''Publications |''' Millet et al. [2007], Palmer et al. [2006]
 }}

@@ Line 21: / Line 21: @@
 {{HideProject|
-Publication: Jian et al., in progress.
+Jian et al., in progress.
 }}
 }}
@@ Line 61: / Line 61: @@
-{{Box|type=l_red_light|text=Global budgets of atmospheric glyoxal and methylglyoxal, and
+{{Box|type=l_red_light|text='''Global budgets of atmospheric glyoxal and methylglyoxal, and
-implications for formation of secondary organic aerosols
+implications for formation of secondary organic aerosols'''
 {{HideProject|
@@ Line 76: / Line 76: @@
   }}
-{{Box|type=l_red_light|text=Sources of secondary organic aerosols in the Pearl River Delta region in fall: Contributions from the aqueous reactive uptake of dicarbonyls
+{{Box|type=l_red_light|text='''Sources of secondary organic aerosols in the Pearl River Delta region in fall: Contributions from the aqueous reactive uptake of dicarbonyls'''
 {{HideProject|
@@ Line 98: / Line 98: @@
 Publication: Xing et al. (2013)
 }}
 {{Box|type=l_red_light|text=A new physically-based parameterization scheme for organic aerosol size evolution}}
 =Chemistry-Climate interactions and Chemistry-Climate Model (CCM) development=
 Team members: [[Jinxuan CHEN]], [[Yaping MA]], [[Wanying KANG]], [[Aoxing ZHANG]], [[Ye QING]]
 {{Box|type=l_red_light|text=Accounting for the impacts of the subgrid variability of RH on aerosol optical depth in large-scale models}}
 {{HideProject|
@@ Line 111: / Line 119: @@
 =Measurements of Chinese PM2.5 composition=
 Team members: [[Wei XU]], [[Jinxuan CHEN]], [[Heng TIAN]], [[Aoxing ZHANG]]

@@ Line 62: / Line 62: @@
 {{Box|type=l_red_light|text=Global budgets of atmospheric glyoxal and methylglyoxal, and
-implications for formation of secondary organic aerosols}}
+implications for formation of secondary organic aerosols
 {{HideProject|
-We construct global budgets of atmospheric glyoxal and methylglyoxal with the goal
+{{:Papers:Fu_et_al_2008}}
-of quantifying their potential for global secondary organic aerosol (SOA) formation via
+}}
-irreversible uptake by aqueous aerosols and clouds. We conduct a detailed simulation of
-glyoxal and methylglyoxal in the GEOS-Chem global 3-D chemical transport model
-including our best knowledge of source and sink processes. Our resulting best estimates of
-the global sources of glyoxal and methylglyoxal are 45 Tg/a and 140 Tg/a,
-respectively. Oxidation of biogenic isoprene contributes globally 47% of glyoxal and 79%
-of methylglyoxal. The second most important precursors are acetylene (mostly
-anthropogenic) for glyoxal and acetone (mostly biogenic) for methylglyoxal. Both
-acetylene and acetone have long lifetimes and provide a source of dicarbonyls in the free
-troposphere. Atmospheric lifetimes of glyoxal and methylglyoxal in the model are 2.9 h
-and 1.6 h, respectively, mostly determined by photolysis. Simulated dicarbonyl
-concentrations in continental surface air at northern midlatitudes are in the range
-–100 ppt, consistent with in situ measurements. On a global scale, the highest
-concentrations are over biomass burning regions, in agreement with glyoxal column
-observations from the SCIAMACHY satellite instrument. SCIAMACHY and a few
-ship cruises also suggest a large marine source of dicarbonyls missing from our
-model. The global source of SOA from the irreversible uptake of dicarbonyls in
-GEOS-Chem is 11 Tg C/a, including 2.6 Tg C/a from glyoxal and 8 Tg C/a
-from methylglyoxal; 90% of this source takes place in clouds. The magnitude of the
-global SOA source from dicarbonyls is comparable to that computed in GEOS-Chem
-from the standard mechanism involving reversible partitioning of semivolatile
-products from the oxidation of monoterpenes, sesquiterpenes, isoprene, and aromatics.
-−
-−
-Publication: Fu et al. [2008]
 }}
 {{HideProject|
-We simulated elemental carbon (EC) and organic
+{{:Papers:Fu_et_al_2012}}
-carbon (OC) aerosols in China and compared model
-results to surface measurements at Chinese rural and background
-sites, with the goal of deriving “top-down” emission
-estimates of EC and OC, as well as better quantifying
-the secondary sources of OC. We included in the model
-state-of-the-science Chinese “bottom-up” emission inventories
-for EC (1.92 TgC/yr) and OC (3.95 TgC/yr), as well
-as updated secondary OC formation pathways. The average
-simulated annual mean EC concentration at rural and background
-sites was 1.1 μgC/m3, 56% lower than the observed
-.5 μgC/m3. The average simulated annual mean OC concentration
-at rural and background sites was 3.4 μgC/m3,
-% lower than the observed 14 μgC/m3. Multiple regression
-to fit surface monthly mean EC observations at rural
-and background sites yielded the best estimate of Chinese
-EC source of 3.05±0.78 TgC/yr. Based on the topdown
-EC emission estimate and observed seasonal primary
-OC/EC ratios, we estimated Chinese OC emissions to be
-.67±1.30 6.67±1.30 TgC/yr. Using these top-down estimates, the
-simulated average annual mean EC concentration at rural and
-background sites was significantly improved to 1.9 μgC/m3.
-However, the model still significantly underestimated observed
-OC in all seasons (simulated average annual mean OC
-at rural and background sites was 5.4 μgC/m3), with little
-skill in capturing the spatiotemporal variability. Secondary
-formation accounts for 21% of Chinese annual mean surface
-OC in the model, with isoprene being the most important precursor.
-In summer, as high as 62% of the observed surface
-OC may be due to secondary formation in eastern China. Our
-analysis points to four shortcomings in the current bottom-up
-inventories of Chinese carbonaceous aerosols: (1) the anthropogenic
-source is underestimated on a national scale, particularly
-for OC; (2) the spatiotemporal distributions of emissions
-are misrepresented; (3) there is a missing source in
-western China, likely associated with the use of biofuels or
-other low-quality fuels for heating; and (4) sources in fall are
-not well represented, either because the seasonal shifting of.
-emissions and/or secondary formation are poorly captured or
-because specific fall emission events are missing. In addition,
-secondary production of OC in China is severely underestimated.
-More regional measurements with better spatiotemporal
-coverage are needed to resolve these shortcomings.
-−
-−
-Publication: Fu et al. (2012)
 }}
 {{HideProject|
-We used the regional air quality model CMAQ to simulate organic aerosol (OA) concentrations over the Pearl River Delta region (PRD) and compared model results to measurements. Our goals were (1) to evaluate the potential contribution of the aqueous reactive uptake of dicarbonyls (glyoxal and methylglyoxal) as a source of secondary organic aerosol (SOA) in an urban environment, and (2) to quantify the sources of SOA in the PRD in fall. We improved the representation of dicarbonyl gas phase chemistry in CMAQ, as well as added SOA formation via the irreversible uptake of dicarbonyls by aqueous aerosols and cloud droplets, characterized by a reactive uptake coefficient gamma = 2.9e3 based on laboratory
+{{:Papers:Li_et_al_2013}}
-studies. Our model results were compared to aerosol mass spectrometry (AMS) measurements in
+}}
-Shenzhen during a photochemical smog event in fall 2009. Including the new dicarbonyl SOA source in CMAQ led to an increase in the simulated mean SOA concentration at the sampling site from 4.1 μg/m3 to 9.0 μg/m3  during the smog event, in better agreement with the mean observed oxygenated OA (OOA) concentration (8.0 μg/m3). The simulated SOA reproduced the variability of observed OOA (r = 0.89). Moreover, simulated dicarbonyl SOA was highly correlated with simulated sulfate (r = 0.72), consistent with the observed high correlation between OOA and sulfate (r = 0.84). Including the dicarbonyl SOA source also increased the mean simulated concentrations of total OA from 8.2 μg/m3  to 13.1 μg/m3,
-closer to the mean observed OA concentration (16.5 μg/m3). The remaining difference between the observed and simulated OA was largely due to impacts from episodic biomass burning emissions, but the model did not capture this variability. We concluded that, for the PRD in fall and outside of major biomass burning events, 75% of the total SOA was biogenic. Isoprene was the most important precursor, accounting for 41% of the total SOA. Aromatics accounted for 13% of the total SOA. Our results show that the aqueous chemistry of dicarbonyls can be an important SOA source, potentially accounting for 53% of
-the total surface SOA in the PRD in fall.
-−
-−
-Publication: Li et al. (2013)
 }}
 {{Box|type=l_red_light|text=Organic matter to organic carbon mass ratio in Chinese urban aerosols