Multi-satellite sensor study on precipitation-induced emission pulses of NO&amp;lt;sub&amp;gt;&amp;lt;i&amp;gt;x&amp;lt;/i&amp;gt;&amp;lt;/sub&amp;gt; from soils in semi-arid ecosystems

Zörner, Jan; Vries, Marloes Penning de; Beirle, Steffen; Sihler, Holger; Veres, P. R.; Williams, Jonathan; Wagner, Thomas

doi:10.5194/acp-16-9457-2016

Cited by 19 publications

(12 citation statements)

References 92 publications

(115 reference statements)

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“…Soil emissions of nitrogen oxide (NO), and their increase from soil wetting, have long been recognized and included in models. Over the African Sahel NO emission pulses after rain events contribute 21-44% of soil NO x emissions (Zörner et al, 2016). Soil NO x emissions following the wetting of dry soil have been shown to contribute up to 22% of annual emissions in a Venezuelan savanna (Davidson, 1992).…”

Section: Relevance Of Soil Voc Emissions To Atmospheric Chemistrymentioning

confidence: 99%

Volatile Organic Compound Emissions From Soil Following Wetting Events

et al. 2018

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Dynamics of carbon dioxide (CO2) emissions following the wetting of dry soil have been widely studied in field and laboratory settings. Nonmethane volatile organic compounds (VOCs) are also emitted from soil following a rain event and are evident from the characteristic smell of wet soil. Few studies have documented VOC emissions before and after soil rewetting. Soil emissions were studied using a dynamic flux chamber system purged with VOC‐free air, with identification and quantification of emissions performed by gas chromatography/mass spectrometry. All soils exhibited a rewetting‐induced pulse of VOC emissions, with VOC emissions 14 times higher (on average) in the few hours after rewetting compared to moist soils 2 days after rewetting. This VOC rewetting pulse mirrored the CO2 rewetting pulse (the so‐called “Birch Effect”) but was shorter in duration. Average VOC emissions were 5.0 ± 2.0% of CO2 emissions (molar C equivalent) and increased with increasing soil organic matter content (ρ = 0.40, ρ = 0.99 with one soil excluded). The amounts and types of VOCs varied with time since rewetting and across the five studied soil types, though acetone and small hydrocarbons were the dominant compounds emitted from all soils. Some of the VOCs emitted are likely important mediators of microbial activities and relevant to atmospheric chemical dynamics. Soil VOC emissions, similar to CO2 emissions, are strongly affected by rewetting events, and it is important to consider these rewetting dynamics when modeling soil and ecosystem VOC emissions and understand their relevance to terrestrial ecosystem functioning and atmospheric processes.

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Section: Relevance Of Soil Voc Emissions To Atmospheric Chemistrymentioning

confidence: 99%

Volatile Organic Compound Emissions From Soil Following Wetting Events

et al. 2018

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“…Zhao and Wang (2009) concluded that soil emissions are enhanced in summer and contribute to at least 14 % of the total emissions in July in China. Soil emissions have a positive exponential relationship with soil temperature (Schindlbacher et al, 2004) and can be enhanced after precipitation over vegetation (Zörner et al, 2016), which could explain the seasonality in satellite-derived emissions in most parts of China. Also, emissions by biomass burning and crop burning are maximized in summer in China Zhang et al, 2016).…”

Section: Temporal Analysesmentioning

confidence: 99%

Intercomparison of NOx emission inventories over East Asia

Ding

Miyazaki

et al. 2017

Atmos. Chem. Phys.

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Abstract. We compare nine emission inventories of nitrogen oxides including four satellite-derived NO x inventories and the following bottom-up inventories for East Asia: REAS (Regional Emission inventory in ASia), MEIC (Multiresolution Emission Inventory for China), CAPSS (Clean Air Policy Support System) and EDGAR (Emissions Database for Global Atmospheric Research). Two of the satellitederived inventories are estimated by using the DECSO (Daily Emission derived Constrained by Satellite Observations) algorithm, which is based on an extended Kalman filter applied to observations from OMI or from GOME-2. The other two are derived with the EnKF algorithm, which is based on an ensemble Kalman filter applied to observations of multiple species using either the chemical transport model CHASER and MIROC-chem. The temporal behaviour and spatial distribution of the inventories are compared on a national and regional scale. A distinction is also made between urban and rural areas. The intercomparison of all inventories shows good agreement in total NO x emissions over mainland China, especially for trends, with an average bias of about 20 % for yearly emissions. All the inventories show the typical emission reduction of 10 % during the Chinese New Year and a peak in December. Satellite-derived approaches using OMI show a summer peak due to strong emissions from soil and biomass burning in this season. Biases in NO x emissions and uncertainties in temporal variability increase quickly when the spatial scale decreases. The analyses of the differences show the importance of using observations from multiple instruments and a high spatial resolution model for the satellite-derived inventories, while for bottom-up inventories, accurate emission factors and activity information are required. The advantage of the satellite-derived approach is that the emissions are soon available after observation, while the strength of the bottom-up inventories is that they include detailed information of emissions for each source category.

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“…Satellite measurements have been used to constrain natural NO x sources as well, predominantly biomass burning (e.g., Mebust et al, 2011;Huijnen et al, 2012;Cohen, 2013, 2014;Bousserez, 2014;Schreier et al, 2014;Castellanos et al, 2015;van Marle et al, 2017), lightning (e.g., Beirle et al, 2004;Martin et al, 2007;Beirle et al, 2010;Bucsela et al, 2010;Miyazaki et al, 2014;Pickering et al, 2016;Nault et al, 2017), and soil NO x (e.g., van der A et al, 2008;Hudman et al, 2010Hudman et al, , 2012Zörner et al, 2016). The episodic and geographically disparate nature of these sources (especially lightning and biomass burning) make satellite observations an ideal method to constrain their emissions, given satellites' continuous data record and broad geographic coverage.…”

Section: Introductionmentioning

confidence: 99%

The Berkeley High Resolution Tropospheric NO2 product

Laughner

Zhu

Cohen

2018

Earth Syst. Sci. Data

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Abstract. We describe upgrades to the Berkeley High Resolution (BEHR) NO2 satellite retrieval product. BEHR v3.0B builds on the NASA version 3 standard Ozone Monitoring Instrument (OMI) tropospheric NO2 product to provide a high spatial resolution product for a domain covering the continental United States and lower Canada that is consistent with daily variations in the 12 km a priori NO2 profiles. Other improvements to the BEHR v3.0 product include surface reflectance and elevation, and factors affecting the NO2 a priori profiles such as lightning and anthropogenic emissions.We describe the retrieval algorithm in detail and evaluate the impact of changes to the algorithm between v2.1C and v3.0B on the retrieved NO2 vertical column densities (VCDs). Not surprisingly, we find that, on average, the changes to the a priori NO2 profiles and the update to the new NASA slant column densities have the greatest impact on the retrieved VCDs. More significantly, we find that using daily a priori profiles results in greater average VCDs than using monthly profiles in regions and times with significant lightning activity.The BEHR product is available as four subproducts on the University of California DASH repository, using monthly a priori profiles at native OMI pixel resolution (https://doi.org/10.6078/D1N086) and regridded to 0.05° × 0.05° (https://doi.org/10.6078/D1RQ3G) and using daily a priori profiles at native OMI (https://doi.org/10.6078/D1WH41) and regridded (https://doi.org/10.6078/D12D5X) resolutions. The subproducts using monthly profiles are currently available from January 2005 to July 2017, and will be expanded to more recent years. The subproducts using daily profiles are currently available for years 2005–2010 and 2012–2014; 2011 and 2015 on will be added as the necessary input data are simulated for those years.

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Multi-satellite sensor study on precipitation-induced emission pulses of NO<sub><i>x</i></sub> from soils in semi-arid ecosystems

Cited by 19 publications

References 92 publications

Volatile Organic Compound Emissions From Soil Following Wetting Events

Volatile Organic Compound Emissions From Soil Following Wetting Events

Intercomparison of NO<sub><i>x</i></sub> emission inventories over East Asia

The Berkeley High Resolution Tropospheric NO<sub>2</sub> product

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Multi-satellite sensor study on precipitation-induced emission pulses of NO&lt;sub&gt;&lt;i&gt;x&lt;/i&gt;&lt;/sub&gt; from soils in semi-arid ecosystems

Cited by 19 publications

References 92 publications

Volatile Organic Compound Emissions From Soil Following Wetting Events

Volatile Organic Compound Emissions From Soil Following Wetting Events

Intercomparison of NO&lt;sub&gt;&lt;i&gt;x&lt;/i&gt;&lt;/sub&gt; emission inventories over East Asia

The Berkeley High Resolution Tropospheric NO&lt;sub&gt;2&lt;/sub&gt; product

Contact Info

Product

Resources

About

Multi-satellite sensor study on precipitation-induced emission pulses of NO<sub><i>x</i></sub> from soils in semi-arid ecosystems

Intercomparison of NO<sub><i>x</i></sub> emission inventories over East Asia

The Berkeley High Resolution Tropospheric NO<sub>2</sub> product