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Space-Based Constraints on Lightning NOx Emissions Randall V. Martin 1,2, Bastien Sauvage 1, Ian Folkins 1, Christopher Sioris 2,3, Christopher Boone 4,

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Presentation on theme: "Space-Based Constraints on Lightning NOx Emissions Randall V. Martin 1,2, Bastien Sauvage 1, Ian Folkins 1, Christopher Sioris 2,3, Christopher Boone 4,"— Presentation transcript:

1 Space-Based Constraints on Lightning NOx Emissions Randall V. Martin 1,2, Bastien Sauvage 1, Ian Folkins 1, Christopher Sioris 2,3, Christopher Boone 4, Peter Bernath 4, Jerry Ziemke 5 1 Dalhousie University 2 Harvard-Smithsonian Center for Astrophysics 3 University of Saskatchewan 4 University of Waterloo 5 NASA Goddard Introduction Nitrogen oxide radicals (NO x ) largely control tropospheric ozone production. Lightning remains the most uncertain source of NO x. Most estimates of the global lightning NO x source employed a bottom-up approach. Top-down constraints based on satellite observations of trace gases could reduce considerably this uncertainty. SCIAMACHY NO 2 Columns Abstract Data from three satellite platforms are applied to provide top-down constraints on the production of NO by lightning. The satellite retrievals are tropospheric NO 2 columns from SCIAMACHY, tropospheric O 3 columns from OMI and MLS, and upper tropospheric HNO 3 from ACE-FTS. A global chemical transport model (GEOS-Chem) is used to identify locations and times in which lightning would be expected to dominate the trace gas observations. The satellite retrievals and model are sampled at those locations and time periods. All three retrievals exhibit a maximum in the tropical Atlantic and a minimum in the tropical Pacific, driven by injection of lightning NO into the upper troposphere over the tropical continents, followed by photochemical production of NO 2, HNO 3, and O 3 during transport. A global emission rate of 6±2 Tg N yr -1 from lightning in the model best represents the satellite observations of tropospheric NO 2, O 3, and HNO 3. OMI/MLS Tropospheric Ozone Annual average of tropospheric NO 2 columns at locations and times in which more than 40% of the simulated NO 2 column is from lightning, and less than 20% of the simulated NO 2 column is from soils or biomass burning. White areas indicate regions where these thresholds are not met. ACE-FTS Upper Tropospheric HNO 3 Acknowledgements Annual average of tropospheric ozone columns at locations and times in which GEOS-Chem simulations yield more than 40% of the tropospheric ozone column from lightning. Annual average of the upper tropospheric HNO 3 mixing ratio at locations and times in which more than 50% of the simulated HNO 3 concentration is from lightning. Meridional Average Meridional average of annual mean trace gas concentrations for locations and months that are dominated by the effects lightning NOx. Black lines indicate satellite observations. Blue lines indicate the standard simulation with 6 Tg N yr -1 from lightning. The boundaries of the yellow shaded regions indicate sensitivity simulations of 4 and 8 Tg N yr -1 from lightning. Red lines indicate the simulation without lightning NOx emissions. Summary Lightning produces a broad enhancement over the tropical Atlantic of 4x10 14 molecules NO 2 cm ‑ 2, 4x10 17 molecules O 3 cm -2 (15 Dobson Units), and 150 pptv of upper tropospheric HNO 3. The lightning background is 25-50% weaker over the tropical Pacific. A global emission rate of 6±2 Tg N yr -1 from lightning in the model best represents the satellite observations of tropospheric NO 2, O 3, and HNO 3. Calculated sensitivity of the tropical HNO 3 concentrations to NO x emissions from lightning as determined by the difference between the standard simulation with 6 Tg N yr -1 and a simulation without lightning NO x emissions. HNO 3 in the upper troposphere is highly sensitive to lightning. 19% of data -5% bias vs SCIAMACHY -61% bias vs SCIAMACHY 22% of data -3% bias vs OMI/MLS -43% bias vs OMI/MLS Sensitivity Simulations (GEOS-Chem Model) Sensitivity to NO x emissions from lightning. Long lifetimes in the upper troposphere enhance the sensitivity to lightning over remote regions. Biomass burning and soils have larger local contributions. Tropospheric NO 2 ColumnTropospheric O 3 Column 83% of data 12% bias vs ACE-FTS -61% bias vs ACE-FTS This work was supported by NASA’s Radiation Science Program. GEOS-Chem nolight ACE-FTS OMI/MLS SCIAMACHY GEOS-Chem with lightning 6±2 Tg N yr -1 6 Tg N yr -1 from lightning


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