Exhaust identification product for MARCUS project aboard Aurora Australis 2017/18

• Other Authors: HUMPHRIES, RUHI S (hasPrincipalInvestigator), HUMPHRIES, RUHI S (processor), Australian Antarctic Data Centre (publisher)
• Format: Dataset
• Language: unknown
• Published: Australian Antarctic Data Centre
• Subjects: EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC CHEMISTRY > CARBON AND HYDROCARBON COMPOUNDS > ATMOSPHERIC CARBON MONOXIDE; PARTICULATE MATTER; EARTH SCIENCE; ATMOSPHERE; AEROSOLS; EMISSIONS; AIR QUALITY; CARBON MONOXIDE; ARM AOS; EXHAUST; TSI CONDENSATION PARTICLE COUNTER 3772; LGR N2O_CO 907-0015-1000; PARTICLE DETECTORS; CHN ANALYZERS > Carbon Hydrogen Nitrogen Analyzers; R/V AA > R/V Aurora Australis; OCEAN > SOUTHERN OCEAN; GEOGRAPHIC REGION > POLAR; CONTINENT > ANTARCTICA; Austral; Southern Ocean; Antarc*; Antarctica; aurora australis
• Online Access: https://researchdata.edu.au/exhaust-identification-product-australis-201718/1424425; https://doi.org/10.26179/5cf868e1d3414; https://data.aad.gov.au/metadata/records/AAS_4292_ExhaustID_201718_AA_MARCUS; http://nla.gov.au/nla.party-617536

Exhaust identification product calculated using CN and CO data from the ARM AOS facility aboard the Aurora Australis during the 2017/18 resupply season (Austral summer) as part of the Measurements of Aerosols, Radiation and CloUds over the Southern Ocean (MARCUS) project. The product is a binary timeseries (UTC) indicating the presence (True) or absence (False) of exhaust on the atmospheric measurements. The algorithm is described in https://doi.org/10.5194/amt-12-3019-2019 and is modified for this dataset. Included here are a number of permutations which vary the number of median absolute deviations (MAD) and percentage threshold for the window filter (see section 3.3 of paper). It is left to the end-user to assess the suitability to their dataset and choose the appropriate permutation for their needs or expand the window filtering to make it more stringent. The authors recommend the exhaust_4mad02thresh as the best output. For use in publications, please contact Ruhi Humphries ([e-mail]) to discuss appropriate acknowledgement. This dataset is associated with AAD projects 4292 and 4431.