Umfang:
Online-Ressource
ISSN:
1680-7324
Inhalt:
Abstract 2, tropospheric ozone (TO3), and H2 O (v), have increased TOH globally. However, these findings often offer a global average and may not include more recent changes in diverse compounds emitted on various spatiotemporal scales. Here, we aim to deepen our understanding of global TOH trends for more recent years (2005–2019) at 1 × 1 °. To achieve this, we use satellite observations of HCHO and NO2 to constrain simulated TOH using a technique based on a Bayesian data fusion method, alongside a machine learning module named the Efficient CH4 -CO-OH (ECCOH) configuration, which is integrated into NASA's Goddard Earth Observing System (GEOS) global model. This innovative module helps efficiently predict the convoluted response of TOH to its drivers and proxies in a statistical way. Aura Ozone Monitoring Instrument (OMI) NO2 observations suggest that the simulation has high biases for biomass burning activities in Africa and eastern Europe, resulting in a regional overestimation of up to 20 % in TOH. OMI HCHO primarily impacts the oceans, where TOH linearly correlates with this proxy. Five key parameters, i.e., TO3, H2 O (v), NO2, HCHO, and stratospheric ozone, can collectively explain 65 % of the variance in TOH trends. The overall trend of TOH influenced by NO2 remains positive, but it varies greatly because of the differences in the signs of anthropogenic emissions. Over the oceans, TOH trends are primarily positive in the Northern Hemisphere, resulting from the upward trends in HCHO, TO3, and H2 O (v). Using the present framework, we can tap the power of satellites to quickly gain a deeper understanding of simulated TOH trends and biases.
In:
volume:24
In:
number:15
In:
year:2024
In:
pages:8677-8701
In:
extent:25
In:
Atmospheric chemistry and physics, Katlenburg-Lindau : EGU, 2001-, 24, Heft 15 (2024), 8677-8701 (gesamt 25), 1680-7324
Sprache:
Englisch
DOI:
10.5194/acp-24-8677-2024
URN:
urn:nbn:de:101:1-2408080418383.563068566644
URL:
https://doi.org/10.5194/acp-24-8677-2024
URL:
https://nbn-resolving.org/urn:nbn:de:101:1-2408080418383.563068566644
URL:
https://d-nb.info/1338261908/34
URL:
https://acp.copernicus.org/articles/24/8677/2024/acp-24-8677-2024.pdf
URL:
https://acp.copernicus.org/articles/24/8677/2024/