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DC-8 In Situ Measurements for ASCENDS and ABoVE 2017

Stephan Randolph Kawa, NASA GSFC, stephan.r.kawa@nasa.gov (Presenter)
Joshua Paul DiGangi, NASA Langley Research Center, joshua.p.digangi@nasa.gov
Glenn Diskin, NASA Langley Research Center, glenn.s.diskin@nasa.gov
Yonghoon Choi, NASA LaRC/SSAI, yonghoon.choi-1@nasa.gov
John Nowak, NASA Langley Research Center, john.b.nowak@nasa.gov
Jianping Mao, NASA GSFC/ESSIC, jianping.mao@nasa.gov
James B. Abshire, NASA GSFC, james.b.abshire@nasa.gov
Bing Lin, NASA Langley Research Center, bing.lin@nasa.gov
Edward V. Browell, NASA Langley Research Center/UNH, edward.v.browell@nasa.gov

During July and August 2017 the NASA DC-8 completed 8 flights from Palmdale, CA and Fairbanks, AK in support of atmospheric CO2 measurements using lidar instruments designed as demonstrators for NASA’s planned ASCENDS mission (Active Sensing of CO2 Emissions over Nights, Days, & Seasons). In addition to these CO2 laser remote sensing instruments, the aircraft carried a set of in situ sensors to provide ancillary data for the lidar XCO2 data validation, as well as to establish the airborne measurement context. In situ data are available for CO2 and CH4 from two different Picarro instruments, H2O from the Diode Laser Hygrometer (DLH), and CO from the Differential Absorption Carbon Monoxide Measurement (DACOM).

The airborne campaign covered a wide range of Arctic/Boreal locations in 4 flights from Fairbanks plus the incoming and outgoing transits. Approximately 40 hours of flight data are available at high latitudes including 30 spiral profiles from ~9 km altitude to the surface. These data form a unique observational resource for the ABoVE 2017 intensive campaign.

Here we present an initial analysis of the in situ complement of the DC-8 campaign data. We will show an overview of the data along with some systematic features and findings. The overriding first impression from this data set is the high degree of variability in the tracer data with altitude, location, and time. Inferring the influence of local sources, sinks, and transport will be challenging in such a dynamic environment. We look forward to connection with other in situ, ground-based and satellite remote sensing, and model output data together with application of the DC-8 data in syntheses for flux inference and process studies in the ABoVE domain.

Associated Project(s): 

Poster Location ID: 12

Session Assigned: Carbon Dynamics

 


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