Unaccounted variability in NH3 agricultural sources detected by IASI contributing to European spring haze episode

Ammonia (NH3), whose main source in the troposphere is agriculture, is an important gaseous precursor of atmospheric particulate matter (PM). We derived daily ammonia emissions using NH3 total columns measured from the Infrared Atmospheric Sounding Interferometer (IASI) on board Metop‐A, at a relati...

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Veröffentlicht in:Geophysical research letters 2016-05, Vol.43 (10), p.5475-5482
Hauptverfasser: Fortems‐Cheiney, A., Dufour, G., Hamaoui‐Laguel, L., Foret, G., Siour, G., Van Damme, M., Meleux, F., Coheur, P.‐F., Clerbaux, C., Clarisse, L., Favez, O., Wallasch, M., Beekmann, M.
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container_end_page 5482
container_issue 10
container_start_page 5475
container_title Geophysical research letters
container_volume 43
creator Fortems‐Cheiney, A.
Dufour, G.
Hamaoui‐Laguel, L.
Foret, G.
Siour, G.
Van Damme, M.
Meleux, F.
Coheur, P.‐F.
Clerbaux, C.
Clarisse, L.
Favez, O.
Wallasch, M.
Beekmann, M.
description Ammonia (NH3), whose main source in the troposphere is agriculture, is an important gaseous precursor of atmospheric particulate matter (PM). We derived daily ammonia emissions using NH3 total columns measured from the Infrared Atmospheric Sounding Interferometer (IASI) on board Metop‐A, at a relatively high spatial resolution (grid cell of 0.5° × 0.5°). During the European spring haze episodes of 24–31 March 2012 and 8–15 March 2014, IASI reveals NH3 total column magnitudes highlighting higher NH3 emissions over central Europe (especially over Germany, Czech Republic, and eastern France) from the ones provided by the European reference European Monitoring and Evaluation Programme inventory. These ammonia emissions exhibit in addition a large day‐to‐day variability, certainly due to spreading practices. The increase of NH3 emissions in the model, that reaches +300% locally, leads to an increase of both NH3 and PM2.5 surface concentrations and allows for a better comparison with independent measurements (in terms of bias, root‐mean‐square error, and correlation). This study suggests that there are good prospects for better quantifying NH3 emissions by atmospheric inversions. Key Points Strong potential of IASI for deducing NH3 daily emissions High NH3 emissions revealed over central Europe Strong impact of NH3 emissions on pollution particle formation
doi_str_mv 10.1002/2016GL069361
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We derived daily ammonia emissions using NH3 total columns measured from the Infrared Atmospheric Sounding Interferometer (IASI) on board Metop‐A, at a relatively high spatial resolution (grid cell of 0.5° × 0.5°). During the European spring haze episodes of 24–31 March 2012 and 8–15 March 2014, IASI reveals NH3 total column magnitudes highlighting higher NH3 emissions over central Europe (especially over Germany, Czech Republic, and eastern France) from the ones provided by the European reference European Monitoring and Evaluation Programme inventory. These ammonia emissions exhibit in addition a large day‐to‐day variability, certainly due to spreading practices. The increase of NH3 emissions in the model, that reaches +300% locally, leads to an increase of both NH3 and PM2.5 surface concentrations and allows for a better comparison with independent measurements (in terms of bias, root‐mean‐square error, and correlation). This study suggests that there are good prospects for better quantifying NH3 emissions by atmospheric inversions. 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We derived daily ammonia emissions using NH3 total columns measured from the Infrared Atmospheric Sounding Interferometer (IASI) on board Metop‐A, at a relatively high spatial resolution (grid cell of 0.5° × 0.5°). During the European spring haze episodes of 24–31 March 2012 and 8–15 March 2014, IASI reveals NH3 total column magnitudes highlighting higher NH3 emissions over central Europe (especially over Germany, Czech Republic, and eastern France) from the ones provided by the European reference European Monitoring and Evaluation Programme inventory. These ammonia emissions exhibit in addition a large day‐to‐day variability, certainly due to spreading practices. The increase of NH3 emissions in the model, that reaches +300% locally, leads to an increase of both NH3 and PM2.5 surface concentrations and allows for a better comparison with independent measurements (in terms of bias, root‐mean‐square error, and correlation). This study suggests that there are good prospects for better quantifying NH3 emissions by atmospheric inversions. Key Points Strong potential of IASI for deducing NH3 daily emissions High NH3 emissions revealed over central Europe Strong impact of NH3 emissions on pollution particle formation</description><subject>Agriculture</subject><subject>Air pollution</subject><subject>Ammonia</subject><subject>Ammonia emissions</subject><subject>Atmospheric and Oceanic Physics</subject><subject>Atmospheric particulate matter</subject><subject>Atmospheric particulates</subject><subject>Atmospheric sounding</subject><subject>Bias</subject><subject>Correlation</subject><subject>Correlation analysis</subject><subject>Emission inventories</subject><subject>Emission measurements</subject><subject>Emissions</subject><subject>Environmental Sciences</subject><subject>Error analysis</subject><subject>Evaluation</subject><subject>Haze</subject><subject>IASI</subject><subject>Infrared interferometers</subject><subject>Inversions</subject><subject>Onboard</subject><subject>Particulate emissions</subject><subject>Particulate matter</subject><subject>Permissible error</subject><subject>Physics</subject><subject>Pollution monitoring</subject><subject>Spatial discrimination</subject><subject>Spatial resolution</subject><subject>spreading practices</subject><subject>Spring</subject><subject>Suspended particulate matter</subject><subject>Troposphere</subject><subject>Variability</subject><issn>0094-8276</issn><issn>1944-8007</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNp9kcFq3DAQhkVJoZu0tz6AoLfCJjMa25KOS0h3F0wCbXMWsixlFVx7I9kJ26ePlw2lp5xmGL6Z-Wd-xr4iXCKAuBKA1bqGSlOFH9gCdVEsFYA8YwsAPedCVp_Yec6PAEBAuGBP9711bpj60bf82aZom9jF8cBjz283xO1Dim7qxinZjudhSs5n3vrRu2NDc-Db1a8td0M_pthMY-wf-DjwmykNe297nvfpWNrZv577fcxD6z-zj8F22X95ixfs_sfN7-vNsr5bb69X9XJHQsplAEuqbARKVVilgqcqqCAaF1C0wipqdRBlCERUkUCvAkHhtBNYNeDLli7Y99Pcne3MLOOPTQcz2Gg2q9rEPk8GkISY__OMM_ztBO_T8DT5PJrH-dZ-1mdQIwokXap3KallUWqQMFPiRL3Ezh_-rUYwR5PM_yaZ9c-6LAqS9AoMgYTv</recordid><startdate>20160528</startdate><enddate>20160528</enddate><creator>Fortems‐Cheiney, A.</creator><creator>Dufour, G.</creator><creator>Hamaoui‐Laguel, L.</creator><creator>Foret, G.</creator><creator>Siour, G.</creator><creator>Van Damme, M.</creator><creator>Meleux, F.</creator><creator>Coheur, P.‐F.</creator><creator>Clerbaux, C.</creator><creator>Clarisse, L.</creator><creator>Favez, O.</creator><creator>Wallasch, M.</creator><creator>Beekmann, M.</creator><general>John Wiley &amp; 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subjects Agriculture
Air pollution
Ammonia
Ammonia emissions
Atmospheric and Oceanic Physics
Atmospheric particulate matter
Atmospheric particulates
Atmospheric sounding
Bias
Correlation
Correlation analysis
Emission inventories
Emission measurements
Emissions
Environmental Sciences
Error analysis
Evaluation
Haze
IASI
Infrared interferometers
Inversions
Onboard
Particulate emissions
Particulate matter
Permissible error
Physics
Pollution monitoring
Spatial discrimination
Spatial resolution
spreading practices
Spring
Suspended particulate matter
Troposphere
Variability
title Unaccounted variability in NH3 agricultural sources detected by IASI contributing to European spring haze episode
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