Analyzing wildland fire smoke emissions data using compositional data techniques.

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	Art. e2019JD032128
Journal	Journal of Geophysical Research Atmospheres
Volume	125
Issue number	6
DOIs	https://doi.org/10.1029/2019JD032128
Publication status	Published - 27 Mar 2020

Keywords

@article{1a9381a7c6c146ab93e30b3397e6e73f,

title = "Analyzing wildland fire smoke emissions data using compositional data techniques.",

keywords = "Balance, Linear trend",

author = "D.R. Weise and J. Palarea-Albaladejo and T.J. Johnson and H.J. Jung",

year = "2020",

month = mar,

day = "27",

doi = "10.1029/2019JD032128",

language = "English",

volume = "125",

journal = "Journal of Geophysical Research Atmospheres",

number = "6",

}

TY - JOUR

T1 - Analyzing wildland fire smoke emissions data using compositional data techniques.

AU - Weise, D.R.

AU - Palarea-Albaladejo, J.

AU - Johnson, T.J.

AU - Jung, H.J.

PY - 2020/3/27

Y1 - 2020/3/27

KW - Balance

KW - Linear trend

U2 - 10.1029/2019JD032128

DO - 10.1029/2019JD032128

M3 - Article

VL - 125

JO - Journal of Geophysical Research Atmospheres

JF - Journal of Geophysical Research Atmospheres

IS - 6

M1 - Art. e2019JD032128

ER -