In:
Journal of Geophysical Research: Atmospheres, American Geophysical Union (AGU), Vol. 125, No. 15 ( 2020-08-16)
Kurzfassung:
We develop an online air‐sea exchange module for acetone, with ocean biogeochemistry represented using data‐oriented machine learning Two separate global acetone simulations are compared to global‐scale multiseasonal airborne observations Global models consistently overestimate acetone in the upper troposphere over the Southern Ocean in austral winter
Materialart:
Online-Ressource
ISSN:
2169-897X
,
2169-8996
DOI:
10.1029/2020JD032553
Sprache:
Englisch
Verlag:
American Geophysical Union (AGU)
Publikationsdatum:
2020
ZDB Id:
710256-2
ZDB Id:
2016800-7
ZDB Id:
2969341-X
SSG:
16,13