Heterogeneous N 2 O 5 Uptake During Winter: Aircraft Measurements During the 2015 WINTER Campaign and Critical Evaluation of Current Parameterizations
Nocturnal dinitrogen pentoxide (N 2 O 5 ) heterogeneous chemistry impacts regional air quality and the distribution and lifetime of tropospheric oxidants. Formed from the oxidation of nitrogen oxides, N 2 O 5 is heterogeneously lost to aerosol with a highly variable reaction probability, γ (N 2 O 5...
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| Veröffentlicht in: | Journal of geophysical research. Atmospheres 2018-04, Vol.123 (8), p.4345-4372 |
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| creator | McDuffie, Erin E. Fibiger, Dorothy L. Dubé, William P. Lopez‐Hilfiker, Felipe Lee, Ben H. Thornton, Joel A. Shah, Viral Jaeglé, Lyatt Guo, Hongyu Weber, Rodney J. Michael Reeves, J. Weinheimer, Andrew J. Schroder, Jason C. Campuzano‐Jost, Pedro Jimenez, Jose L. Dibb, Jack E. Veres, Patrick Ebben, Carly Sparks, Tamara L. Wooldridge, Paul J. Cohen, Ronald C. Hornbrook, Rebecca S. Apel, Eric C. Campos, Teresa Hall, Samuel R. Ullmann, Kirk Brown, Steven S. |
| description | Nocturnal dinitrogen pentoxide (N
2
O
5
) heterogeneous chemistry impacts regional air quality and the distribution and lifetime of tropospheric oxidants. Formed from the oxidation of nitrogen oxides, N
2
O
5
is heterogeneously lost to aerosol with a highly variable reaction probability,
γ
(N
2
O
5
), dependent on aerosol composition and ambient conditions. Reaction products include soluble nitrate (HNO
3
or NO
3
−
) and nitryl chloride (ClNO
2
). We report the first‐ever derivations of
γ
(N
2
O
5
) from ambient wintertime aircraft measurements in the critically important nocturnal residual boundary layer. Box modeling of the 2015 Wintertime INvestigation of Transport, Emissions, and Reactivity (WINTER) campaign over the eastern United States derived 2,876 individual
γ
(N
2
O
5
) values with a median value of 0.0143 and range of 2 × 10
−5
to 0.1751. WINTER
γ
(N
2
O
5
) values exhibited the strongest correlation with aerosol water content, but weak correlations with other variables, such as aerosol nitrate and organics, suggesting a complex, nonlinear dependence on multiple factors, or an additional dependence on a nonobserved factor. This factor may be related to aerosol phase, morphology (i.e., core shell), or mixing state, none of which are commonly measured during aircraft field studies. Despite general agreement with previous laboratory observations, comparison of WINTER data with 14 literature parameterizations (used to predict
γ
(N
2
O
5
) in chemical transport models) confirms that none of the current methods reproduce the full range of
γ
(N
2
O
5
) values. Nine reproduce the WINTER median within a factor of 2. Presented here is the first field‐based, empirical parameterization of
γ
(N
2
O
5
), fit to WINTER data, based on the functional form of previous parameterizations.
Aircraft measurements over the eastern United States provide the largest number of N
2
O
5
uptake coefficient
γ
(N
2
O
5
) determinations during winter
Despite a large range and variability, several
γ
(N
2
O
5
) dependencies are statistically significant, particularly with aerosol liquid water
Standard
γ
(N
2
O
5
) parameterizations do not capture the variability but several, including an empirical form derived here, capture the median |
| doi_str_mv | 10.1002/2018JD028336 |
| format | Article |
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2
O
5
) heterogeneous chemistry impacts regional air quality and the distribution and lifetime of tropospheric oxidants. Formed from the oxidation of nitrogen oxides, N
2
O
5
is heterogeneously lost to aerosol with a highly variable reaction probability,
γ
(N
2
O
5
), dependent on aerosol composition and ambient conditions. Reaction products include soluble nitrate (HNO
3
or NO
3
−
) and nitryl chloride (ClNO
2
). We report the first‐ever derivations of
γ
(N
2
O
5
) from ambient wintertime aircraft measurements in the critically important nocturnal residual boundary layer. Box modeling of the 2015 Wintertime INvestigation of Transport, Emissions, and Reactivity (WINTER) campaign over the eastern United States derived 2,876 individual
γ
(N
2
O
5
) values with a median value of 0.0143 and range of 2 × 10
−5
to 0.1751. WINTER
γ
(N
2
O
5
) values exhibited the strongest correlation with aerosol water content, but weak correlations with other variables, such as aerosol nitrate and organics, suggesting a complex, nonlinear dependence on multiple factors, or an additional dependence on a nonobserved factor. This factor may be related to aerosol phase, morphology (i.e., core shell), or mixing state, none of which are commonly measured during aircraft field studies. Despite general agreement with previous laboratory observations, comparison of WINTER data with 14 literature parameterizations (used to predict
γ
(N
2
O
5
) in chemical transport models) confirms that none of the current methods reproduce the full range of
γ
(N
2
O
5
) values. Nine reproduce the WINTER median within a factor of 2. Presented here is the first field‐based, empirical parameterization of
γ
(N
2
O
5
), fit to WINTER data, based on the functional form of previous parameterizations.
Aircraft measurements over the eastern United States provide the largest number of N
2
O
5
uptake coefficient
γ
(N
2
O
5
) determinations during winter
Despite a large range and variability, several
γ
(N
2
O
5
) dependencies are statistically significant, particularly with aerosol liquid water
Standard
γ
(N
2
O
5
) parameterizations do not capture the variability but several, including an empirical form derived here, capture the median</description><identifier>ISSN: 2169-897X</identifier><identifier>EISSN: 2169-8996</identifier><identifier>DOI: 10.1002/2018JD028336</identifier><language>eng</language><ispartof>Journal of geophysical research. Atmospheres, 2018-04, Vol.123 (8), p.4345-4372</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c806-101183675505366a14f7c072961f685d4843fa87f77febaf84832dbb99c327eb3</citedby><cites>FETCH-LOGICAL-c806-101183675505366a14f7c072961f685d4843fa87f77febaf84832dbb99c327eb3</cites><orcidid>0000-0001-5547-106X ; 0000-0003-3096-7709 ; 0000-0003-1866-801X ; 0000-0002-6845-6077 ; 0000-0001-6203-1847 ; 0000-0001-6175-8286 ; 0000-0003-3930-010X ; 0000-0002-6304-6554 ; 0000-0001-9749-151X ; 0000-0001-6617-7691 ; 0000-0001-9421-818X ; 0000-0002-8525-0513 ; 0000-0003-0765-8035 ; 0000-0002-5057-2168 ; 0000-0001-7539-353X ; 0000-0002-5098-4867 ; 0000-0003-0487-3610 ; 0000-0002-0537-471X ; 0000-0001-7477-9078 ; 0000-0002-2060-7112</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>McDuffie, Erin E.</creatorcontrib><creatorcontrib>Fibiger, Dorothy L.</creatorcontrib><creatorcontrib>Dubé, William P.</creatorcontrib><creatorcontrib>Lopez‐Hilfiker, Felipe</creatorcontrib><creatorcontrib>Lee, Ben H.</creatorcontrib><creatorcontrib>Thornton, Joel A.</creatorcontrib><creatorcontrib>Shah, Viral</creatorcontrib><creatorcontrib>Jaeglé, Lyatt</creatorcontrib><creatorcontrib>Guo, Hongyu</creatorcontrib><creatorcontrib>Weber, Rodney J.</creatorcontrib><creatorcontrib>Michael Reeves, J.</creatorcontrib><creatorcontrib>Weinheimer, Andrew J.</creatorcontrib><creatorcontrib>Schroder, Jason C.</creatorcontrib><creatorcontrib>Campuzano‐Jost, Pedro</creatorcontrib><creatorcontrib>Jimenez, Jose L.</creatorcontrib><creatorcontrib>Dibb, Jack E.</creatorcontrib><creatorcontrib>Veres, Patrick</creatorcontrib><creatorcontrib>Ebben, Carly</creatorcontrib><creatorcontrib>Sparks, Tamara L.</creatorcontrib><creatorcontrib>Wooldridge, Paul J.</creatorcontrib><creatorcontrib>Cohen, Ronald C.</creatorcontrib><creatorcontrib>Hornbrook, Rebecca S.</creatorcontrib><creatorcontrib>Apel, Eric C.</creatorcontrib><creatorcontrib>Campos, Teresa</creatorcontrib><creatorcontrib>Hall, Samuel R.</creatorcontrib><creatorcontrib>Ullmann, Kirk</creatorcontrib><creatorcontrib>Brown, Steven S.</creatorcontrib><title>Heterogeneous N 2 O 5 Uptake During Winter: Aircraft Measurements During the 2015 WINTER Campaign and Critical Evaluation of Current Parameterizations</title><title>Journal of geophysical research. Atmospheres</title><description>Nocturnal dinitrogen pentoxide (N
2
O
5
) heterogeneous chemistry impacts regional air quality and the distribution and lifetime of tropospheric oxidants. Formed from the oxidation of nitrogen oxides, N
2
O
5
is heterogeneously lost to aerosol with a highly variable reaction probability,
γ
(N
2
O
5
), dependent on aerosol composition and ambient conditions. Reaction products include soluble nitrate (HNO
3
or NO
3
−
) and nitryl chloride (ClNO
2
). We report the first‐ever derivations of
γ
(N
2
O
5
) from ambient wintertime aircraft measurements in the critically important nocturnal residual boundary layer. Box modeling of the 2015 Wintertime INvestigation of Transport, Emissions, and Reactivity (WINTER) campaign over the eastern United States derived 2,876 individual
γ
(N
2
O
5
) values with a median value of 0.0143 and range of 2 × 10
−5
to 0.1751. WINTER
γ
(N
2
O
5
) values exhibited the strongest correlation with aerosol water content, but weak correlations with other variables, such as aerosol nitrate and organics, suggesting a complex, nonlinear dependence on multiple factors, or an additional dependence on a nonobserved factor. This factor may be related to aerosol phase, morphology (i.e., core shell), or mixing state, none of which are commonly measured during aircraft field studies. Despite general agreement with previous laboratory observations, comparison of WINTER data with 14 literature parameterizations (used to predict
γ
(N
2
O
5
) in chemical transport models) confirms that none of the current methods reproduce the full range of
γ
(N
2
O
5
) values. Nine reproduce the WINTER median within a factor of 2. Presented here is the first field‐based, empirical parameterization of
γ
(N
2
O
5
), fit to WINTER data, based on the functional form of previous parameterizations.
Aircraft measurements over the eastern United States provide the largest number of N
2
O
5
uptake coefficient
γ
(N
2
O
5
) determinations during winter
Despite a large range and variability, several
γ
(N
2
O
5
) dependencies are statistically significant, particularly with aerosol liquid water
Standard
γ
(N
2
O
5
) parameterizations do not capture the variability but several, including an empirical form derived here, capture the median</description><issn>2169-897X</issn><issn>2169-8996</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNpNUNtKw0AUDKJgqX3zA84HGN1LsrvxraTVVmorUqlv4STdratNUnYTQT_E7zX1hvMyAzMMwwTBKSXnlBB2wQhVNyPCFOfiIOgxKpJQJYk4_NPy8TgYeP9MOijCozjqBR8T3WhXb3Sl69bDHBgsIIaHXYMvGkats9UGVrbqQpcwtK5waBq41ehbp0tdNf431Dxp6DbEsJrOl-N7SLHcod1UgNUaUmcbW-AWxq-4bbGxdQW1gbR1ruuAO3RY7ofY9y_PnwRHBrdeD364Hyyvxst0Es4W19N0OAsLRURICaWKCxnHJOZCII2MLIhkiaBGqHgdqYgbVNJIaXSORkWKs3WeJ0nBmdQ57wdn37WFq7132mQ7Z0t0bxkl2f7V7P-r_BOCMGlQ</recordid><startdate>20180427</startdate><enddate>20180427</enddate><creator>McDuffie, Erin E.</creator><creator>Fibiger, Dorothy L.</creator><creator>Dubé, William P.</creator><creator>Lopez‐Hilfiker, Felipe</creator><creator>Lee, Ben H.</creator><creator>Thornton, Joel A.</creator><creator>Shah, Viral</creator><creator>Jaeglé, Lyatt</creator><creator>Guo, Hongyu</creator><creator>Weber, Rodney J.</creator><creator>Michael Reeves, J.</creator><creator>Weinheimer, Andrew J.</creator><creator>Schroder, Jason C.</creator><creator>Campuzano‐Jost, Pedro</creator><creator>Jimenez, Jose L.</creator><creator>Dibb, Jack E.</creator><creator>Veres, Patrick</creator><creator>Ebben, Carly</creator><creator>Sparks, Tamara L.</creator><creator>Wooldridge, Paul J.</creator><creator>Cohen, Ronald C.</creator><creator>Hornbrook, Rebecca S.</creator><creator>Apel, Eric C.</creator><creator>Campos, Teresa</creator><creator>Hall, Samuel R.</creator><creator>Ullmann, Kirk</creator><creator>Brown, Steven S.</creator><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0001-5547-106X</orcidid><orcidid>https://orcid.org/0000-0003-3096-7709</orcidid><orcidid>https://orcid.org/0000-0003-1866-801X</orcidid><orcidid>https://orcid.org/0000-0002-6845-6077</orcidid><orcidid>https://orcid.org/0000-0001-6203-1847</orcidid><orcidid>https://orcid.org/0000-0001-6175-8286</orcidid><orcidid>https://orcid.org/0000-0003-3930-010X</orcidid><orcidid>https://orcid.org/0000-0002-6304-6554</orcidid><orcidid>https://orcid.org/0000-0001-9749-151X</orcidid><orcidid>https://orcid.org/0000-0001-6617-7691</orcidid><orcidid>https://orcid.org/0000-0001-9421-818X</orcidid><orcidid>https://orcid.org/0000-0002-8525-0513</orcidid><orcidid>https://orcid.org/0000-0003-0765-8035</orcidid><orcidid>https://orcid.org/0000-0002-5057-2168</orcidid><orcidid>https://orcid.org/0000-0001-7539-353X</orcidid><orcidid>https://orcid.org/0000-0002-5098-4867</orcidid><orcidid>https://orcid.org/0000-0003-0487-3610</orcidid><orcidid>https://orcid.org/0000-0002-0537-471X</orcidid><orcidid>https://orcid.org/0000-0001-7477-9078</orcidid><orcidid>https://orcid.org/0000-0002-2060-7112</orcidid></search><sort><creationdate>20180427</creationdate><title>Heterogeneous N 2 O 5 Uptake During Winter: Aircraft Measurements During the 2015 WINTER Campaign and Critical Evaluation of Current Parameterizations</title><author>McDuffie, Erin E. ; Fibiger, Dorothy L. ; Dubé, William P. ; Lopez‐Hilfiker, Felipe ; Lee, Ben H. ; Thornton, Joel A. ; Shah, Viral ; Jaeglé, Lyatt ; Guo, Hongyu ; Weber, Rodney J. ; Michael Reeves, J. ; Weinheimer, Andrew J. ; Schroder, Jason C. ; Campuzano‐Jost, Pedro ; Jimenez, Jose L. ; Dibb, Jack E. ; Veres, Patrick ; Ebben, Carly ; Sparks, Tamara L. ; Wooldridge, Paul J. ; Cohen, Ronald C. ; Hornbrook, Rebecca S. ; Apel, Eric C. ; Campos, Teresa ; Hall, Samuel R. ; Ullmann, Kirk ; Brown, Steven S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c806-101183675505366a14f7c072961f685d4843fa87f77febaf84832dbb99c327eb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>McDuffie, Erin E.</creatorcontrib><creatorcontrib>Fibiger, Dorothy L.</creatorcontrib><creatorcontrib>Dubé, William P.</creatorcontrib><creatorcontrib>Lopez‐Hilfiker, Felipe</creatorcontrib><creatorcontrib>Lee, Ben H.</creatorcontrib><creatorcontrib>Thornton, Joel A.</creatorcontrib><creatorcontrib>Shah, Viral</creatorcontrib><creatorcontrib>Jaeglé, Lyatt</creatorcontrib><creatorcontrib>Guo, Hongyu</creatorcontrib><creatorcontrib>Weber, Rodney J.</creatorcontrib><creatorcontrib>Michael Reeves, J.</creatorcontrib><creatorcontrib>Weinheimer, Andrew J.</creatorcontrib><creatorcontrib>Schroder, Jason C.</creatorcontrib><creatorcontrib>Campuzano‐Jost, Pedro</creatorcontrib><creatorcontrib>Jimenez, Jose L.</creatorcontrib><creatorcontrib>Dibb, Jack E.</creatorcontrib><creatorcontrib>Veres, Patrick</creatorcontrib><creatorcontrib>Ebben, Carly</creatorcontrib><creatorcontrib>Sparks, Tamara L.</creatorcontrib><creatorcontrib>Wooldridge, Paul J.</creatorcontrib><creatorcontrib>Cohen, Ronald C.</creatorcontrib><creatorcontrib>Hornbrook, Rebecca S.</creatorcontrib><creatorcontrib>Apel, Eric C.</creatorcontrib><creatorcontrib>Campos, Teresa</creatorcontrib><creatorcontrib>Hall, Samuel R.</creatorcontrib><creatorcontrib>Ullmann, Kirk</creatorcontrib><creatorcontrib>Brown, Steven S.</creatorcontrib><collection>CrossRef</collection><jtitle>Journal of geophysical research. Atmospheres</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>McDuffie, Erin E.</au><au>Fibiger, Dorothy L.</au><au>Dubé, William P.</au><au>Lopez‐Hilfiker, Felipe</au><au>Lee, Ben H.</au><au>Thornton, Joel A.</au><au>Shah, Viral</au><au>Jaeglé, Lyatt</au><au>Guo, Hongyu</au><au>Weber, Rodney J.</au><au>Michael Reeves, J.</au><au>Weinheimer, Andrew J.</au><au>Schroder, Jason C.</au><au>Campuzano‐Jost, Pedro</au><au>Jimenez, Jose L.</au><au>Dibb, Jack E.</au><au>Veres, Patrick</au><au>Ebben, Carly</au><au>Sparks, Tamara L.</au><au>Wooldridge, Paul J.</au><au>Cohen, Ronald C.</au><au>Hornbrook, Rebecca S.</au><au>Apel, Eric C.</au><au>Campos, Teresa</au><au>Hall, Samuel R.</au><au>Ullmann, Kirk</au><au>Brown, Steven S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Heterogeneous N 2 O 5 Uptake During Winter: Aircraft Measurements During the 2015 WINTER Campaign and Critical Evaluation of Current Parameterizations</atitle><jtitle>Journal of geophysical research. Atmospheres</jtitle><date>2018-04-27</date><risdate>2018</risdate><volume>123</volume><issue>8</issue><spage>4345</spage><epage>4372</epage><pages>4345-4372</pages><issn>2169-897X</issn><eissn>2169-8996</eissn><abstract>Nocturnal dinitrogen pentoxide (N
2
O
5
) heterogeneous chemistry impacts regional air quality and the distribution and lifetime of tropospheric oxidants. Formed from the oxidation of nitrogen oxides, N
2
O
5
is heterogeneously lost to aerosol with a highly variable reaction probability,
γ
(N
2
O
5
), dependent on aerosol composition and ambient conditions. Reaction products include soluble nitrate (HNO
3
or NO
3
−
) and nitryl chloride (ClNO
2
). We report the first‐ever derivations of
γ
(N
2
O
5
) from ambient wintertime aircraft measurements in the critically important nocturnal residual boundary layer. Box modeling of the 2015 Wintertime INvestigation of Transport, Emissions, and Reactivity (WINTER) campaign over the eastern United States derived 2,876 individual
γ
(N
2
O
5
) values with a median value of 0.0143 and range of 2 × 10
−5
to 0.1751. WINTER
γ
(N
2
O
5
) values exhibited the strongest correlation with aerosol water content, but weak correlations with other variables, such as aerosol nitrate and organics, suggesting a complex, nonlinear dependence on multiple factors, or an additional dependence on a nonobserved factor. This factor may be related to aerosol phase, morphology (i.e., core shell), or mixing state, none of which are commonly measured during aircraft field studies. Despite general agreement with previous laboratory observations, comparison of WINTER data with 14 literature parameterizations (used to predict
γ
(N
2
O
5
) in chemical transport models) confirms that none of the current methods reproduce the full range of
γ
(N
2
O
5
) values. Nine reproduce the WINTER median within a factor of 2. Presented here is the first field‐based, empirical parameterization of
γ
(N
2
O
5
), fit to WINTER data, based on the functional form of previous parameterizations.
Aircraft measurements over the eastern United States provide the largest number of N
2
O
5
uptake coefficient
γ
(N
2
O
5
) determinations during winter
Despite a large range and variability, several
γ
(N
2
O
5
) dependencies are statistically significant, particularly with aerosol liquid water
Standard
γ
(N
2
O
5
) parameterizations do not capture the variability but several, including an empirical form derived here, capture the median</abstract><doi>10.1002/2018JD028336</doi><tpages>28</tpages><orcidid>https://orcid.org/0000-0001-5547-106X</orcidid><orcidid>https://orcid.org/0000-0003-3096-7709</orcidid><orcidid>https://orcid.org/0000-0003-1866-801X</orcidid><orcidid>https://orcid.org/0000-0002-6845-6077</orcidid><orcidid>https://orcid.org/0000-0001-6203-1847</orcidid><orcidid>https://orcid.org/0000-0001-6175-8286</orcidid><orcidid>https://orcid.org/0000-0003-3930-010X</orcidid><orcidid>https://orcid.org/0000-0002-6304-6554</orcidid><orcidid>https://orcid.org/0000-0001-9749-151X</orcidid><orcidid>https://orcid.org/0000-0001-6617-7691</orcidid><orcidid>https://orcid.org/0000-0001-9421-818X</orcidid><orcidid>https://orcid.org/0000-0002-8525-0513</orcidid><orcidid>https://orcid.org/0000-0003-0765-8035</orcidid><orcidid>https://orcid.org/0000-0002-5057-2168</orcidid><orcidid>https://orcid.org/0000-0001-7539-353X</orcidid><orcidid>https://orcid.org/0000-0002-5098-4867</orcidid><orcidid>https://orcid.org/0000-0003-0487-3610</orcidid><orcidid>https://orcid.org/0000-0002-0537-471X</orcidid><orcidid>https://orcid.org/0000-0001-7477-9078</orcidid><orcidid>https://orcid.org/0000-0002-2060-7112</orcidid></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2169-897X |
| ispartof | Journal of geophysical research. Atmospheres, 2018-04, Vol.123 (8), p.4345-4372 |
| issn | 2169-897X 2169-8996 |
| language | eng |
| recordid | cdi_crossref_primary_10_1002_2018JD028336 |
| source | Access via Wiley Online Library; Wiley Free Content; Alma/SFX Local Collection |
| title | Heterogeneous N 2 O 5 Uptake During Winter: Aircraft Measurements During the 2015 WINTER Campaign and Critical Evaluation of Current Parameterizations |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-21T09%3A02%3A25IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-crossref&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Heterogeneous%20N%202%20O%205%20Uptake%20During%20Winter:%20Aircraft%20Measurements%20During%20the%202015%20WINTER%20Campaign%20and%20Critical%20Evaluation%20of%20Current%20Parameterizations&rft.jtitle=Journal%20of%20geophysical%20research.%20Atmospheres&rft.au=McDuffie,%20Erin%20E.&rft.date=2018-04-27&rft.volume=123&rft.issue=8&rft.spage=4345&rft.epage=4372&rft.pages=4345-4372&rft.issn=2169-897X&rft.eissn=2169-8996&rft_id=info:doi/10.1002/2018JD028336&rft_dat=%3Ccrossref%3E10_1002_2018JD028336%3C/crossref%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |