Husbandry Trace Gas Emissions from a Dairy Complex By Mobile in Situ and Airborne and Spaceborne Remote Sensing: A Comex Campaign Focus

Thursday, 18 December 2014
Ira Leifer1, David M. Tratt2, Heinrich Bovensmann3, Kerry Buckland2, John Philip Burrows3, Jason Frash4, Konstantin Gerilowski3, Laura T Iraci5, Patrick Johnson2, Richard Koyler5, Sven Krautwurst3, Thomas Krings3, J. Brian Leen6, Chuanmin Hu7, Christopher Melton4, Samuel A Vigil8, Emma L Yates5 and Minwei Zhang7, (1)University of California Santa Barbara, Santa Barbara, CA, United States, (2)Aerospace Corporation Pasadena, Pasadena, CA, United States, (3)University of Bremen, Bremen, Germany, (4)Bubbleology Research International LLC, Santa Barbara, CA, United States, (5)NASA Ames Research Center, Moffett Field, CA, United States, (6)Los Gatos Research, Mountain View, CA, United States, (7)University of South Florida St. Petersburg, Optical Oceanography, St Petersburg, FL, United States, (8)California Polytechnic State University San Luis Obispo, San Luis Obispo, CA, United States
Recent field study reviews on the greenhouse gas methane (CH4) found significant underestimation from fossil fuel industry and husbandry. The 2014 COMEX campaign seeks to develop methods to derive CH4 and carbon dioxide (CO2) from remote sensing data by combining hyperspectral imaging (HSI) and non-imaging spectroscopy (NIS) with in situ airborne and surface data. COMEX leverages synergies between high spatial resolution HSI column abundance maps and moderate spectral/spatial resolution NIS.

Airborne husbandry data were collected for the Chino dairy complex (East Los Angeles Basin) by NIS–MAMAP, HSI–Mako thermal-infrared (TIR); AVIRIS NG shortwave IR (SWIR), with in situ surface mobile–AMOG Surveyor (AutoMObile greenhouse Gas)–and airborne in situ from a Twin Otter and the AlphaJet.

AMOG Surveyor uses in situ Integrated Cavity Off Axis Spectroscopy (OA-ICOS) to measure CH4, CO2, H2O, H2S and NH3 at 5-10 Hz, 2D winds, and thermal anomaly in an adapted commuter car. OA-ICOS provides high precision and accuracy with excellent stability.

NH3 and CH4 emissions were correlated at dairy size-scales but not sub-dairy scales in surface and Mako data, showing fine-scale structure and large variations between the numerous dairies in the complex (herd ~200,000-250,000) embedded in an urban setting. Emissions hotspots were consistent between surface and airborne surveys. In June, surface and MAMAP data showed a weak overall plume, while surface and Mako data showed a stronger plume in late (hotter) July. Multiple surface plume transects using NH3 fingerprinting showed East and then NE advection out of the LA Basin consistent with airborne data. Long-term trends were investigated in satellite data.

This study shows the value of synergistically combined NH3 and CH4 remote sensing data to the task of CH4 source attribution using airborne and space-based remote sensing (IASI for NH3) and top of atmosphere sensitivity calculations for Sentinel V and Carbon Sat (CH4).