Matches in SemOpenAlex for { <https://semopenalex.org/work/W2044167313> ?p ?o ?g. }
- W2044167313 endingPage "128" @default.
- W2044167313 startingPage "107" @default.
- W2044167313 abstract "Abstract. The history of air masses is often investigated using backward trajectories to gain knowledge about processes along the air parcel path as well as possible source regions. Here, we describe a refined approach that incorporates airborne gas, aerosol, and environmental data into back trajectories and show how this technique allows for simultaneous evaluation of air mass history and back trajectory reliability without the need to calculate trajectory errors. We use the HYbrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model and add a simple semi-automated computing routine to facilitate high-frequency coverage of back trajectories initiated along free tropospheric (FT) flight tracks and profiles every 10 s. We integrate our in situ physiochemical data by color-coding each of these trajectories with its corresponding in situ tracer values measured at the back trajectory start points along the flight path. The unique color for each trajectory aids assessment of trajectory reliability through the visual clustering of air mass pathways of similar coloration. Moreover, marked changes in trajectories associated with marked changes evident in measured physiochemical or thermodynamic properties of an air mass add credence to trajectories. This is particularly true when these air mass properties are linked to trajectory features characteristic of recognized sources or processes. This visual clustering of air mass pathways is of particular value for large-scale 3-D flight tracks common to aircraft experiments where air mass features of interest are often spatially distributed and temporally separated. The cluster-visualization tool used here reveals that most FT back trajectories with pollution signatures measured in the central equatorial Pacific reach back to sources on the South American continent over 10 000 km away and 12 days back in time, e.g., the Amazonian basin. We also demonstrate the distinctions in air mass properties between these and trajectories that penetrate deep convection in the Inter-Tropical Convergence Zone. Additionally, for the first time we show consistency of modeled precipitation along back trajectories with scavenging signatures in the aerosol measured for these trajectories." @default.
- W2044167313 created "2016-06-24" @default.
- W2044167313 creator A5004516409 @default.
- W2044167313 creator A5015944220 @default.
- W2044167313 creator A5027233915 @default.
- W2044167313 creator A5033177578 @default.
- W2044167313 creator A5049745267 @default.
- W2044167313 creator A5063684874 @default.
- W2044167313 creator A5074175446 @default.
- W2044167313 date "2014-01-14" @default.
- W2044167313 modified "2023-10-16" @default.
- W2044167313 title "Combining airborne gas and aerosol measurements with HYSPLIT: a visualization tool for simultaneous evaluation of air mass history and back trajectory consistency" @default.
- W2044167313 cites W1661141144 @default.
- W2044167313 cites W1916920625 @default.
- W2044167313 cites W1965458041 @default.
- W2044167313 cites W1977945389 @default.
- W2044167313 cites W1979076059 @default.
- W2044167313 cites W1985842505 @default.
- W2044167313 cites W1989571646 @default.
- W2044167313 cites W1989880838 @default.
- W2044167313 cites W1990918647 @default.
- W2044167313 cites W1993358129 @default.
- W2044167313 cites W1996376193 @default.
- W2044167313 cites W2002927983 @default.
- W2044167313 cites W2007931825 @default.
- W2044167313 cites W2009209364 @default.
- W2044167313 cites W2013354207 @default.
- W2044167313 cites W2017808780 @default.
- W2044167313 cites W2024091880 @default.
- W2044167313 cites W2029879781 @default.
- W2044167313 cites W2029994529 @default.
- W2044167313 cites W2032917735 @default.
- W2044167313 cites W2033400144 @default.
- W2044167313 cites W2034126772 @default.
- W2044167313 cites W2036302056 @default.
- W2044167313 cites W2043289796 @default.
- W2044167313 cites W2044499383 @default.
- W2044167313 cites W2045707590 @default.
- W2044167313 cites W2054845882 @default.
- W2044167313 cites W2054915340 @default.
- W2044167313 cites W2061859034 @default.
- W2044167313 cites W2062063900 @default.
- W2044167313 cites W2069254477 @default.
- W2044167313 cites W2075355337 @default.
- W2044167313 cites W2075714445 @default.
- W2044167313 cites W2076158447 @default.
- W2044167313 cites W2082037729 @default.
- W2044167313 cites W2082655984 @default.
- W2044167313 cites W2082847484 @default.
- W2044167313 cites W2084976180 @default.
- W2044167313 cites W2094494586 @default.
- W2044167313 cites W2095386094 @default.
- W2044167313 cites W2096618853 @default.
- W2044167313 cites W2099930727 @default.
- W2044167313 cites W2100063551 @default.
- W2044167313 cites W2101381209 @default.
- W2044167313 cites W2113967386 @default.
- W2044167313 cites W2117974441 @default.
- W2044167313 cites W2118455067 @default.
- W2044167313 cites W2128874126 @default.
- W2044167313 cites W2131398782 @default.
- W2044167313 cites W2134267629 @default.
- W2044167313 cites W2141510474 @default.
- W2044167313 cites W2148839859 @default.
- W2044167313 cites W2151449194 @default.
- W2044167313 cites W2156404109 @default.
- W2044167313 cites W2157155949 @default.
- W2044167313 cites W2164216367 @default.
- W2044167313 cites W2165883478 @default.
- W2044167313 cites W2166652605 @default.
- W2044167313 cites W2167475648 @default.
- W2044167313 cites W2170813327 @default.
- W2044167313 cites W4245351609 @default.
- W2044167313 doi "https://doi.org/10.5194/amt-7-107-2014" @default.
- W2044167313 hasPublicationYear "2014" @default.
- W2044167313 type Work @default.
- W2044167313 sameAs 2044167313 @default.
- W2044167313 citedByCount "18" @default.
- W2044167313 countsByYear W20441673132015 @default.
- W2044167313 countsByYear W20441673132016 @default.
- W2044167313 countsByYear W20441673132017 @default.
- W2044167313 countsByYear W20441673132018 @default.
- W2044167313 countsByYear W20441673132019 @default.
- W2044167313 countsByYear W20441673132020 @default.
- W2044167313 countsByYear W20441673132021 @default.
- W2044167313 countsByYear W20441673132022 @default.
- W2044167313 countsByYear W20441673132023 @default.
- W2044167313 crossrefType "journal-article" @default.
- W2044167313 hasAuthorship W2044167313A5004516409 @default.
- W2044167313 hasAuthorship W2044167313A5015944220 @default.
- W2044167313 hasAuthorship W2044167313A5027233915 @default.
- W2044167313 hasAuthorship W2044167313A5033177578 @default.
- W2044167313 hasAuthorship W2044167313A5049745267 @default.
- W2044167313 hasAuthorship W2044167313A5063684874 @default.
- W2044167313 hasAuthorship W2044167313A5074175446 @default.
- W2044167313 hasBestOaLocation W20441673131 @default.
- W2044167313 hasConcept C111603439 @default.
- W2044167313 hasConcept C121332964 @default.