In:
Atmospheric Chemistry and Physics, Copernicus GmbH, Vol. 23, No. 6 ( 2023-03-28), p. 3731-3748
Abstract:
Abstract. The applications of geostationary (GEO) satellite
measurements at an unprecedented spatial and temporal resolution from the
Geostationary Environment Monitoring Spectrometer (GEMS) for monitoring and
forecasting the alarming ozone pollution in Asia through data assimilation
remain at the early stage. Here we investigate the benefit of multiple ozone
observations from GEMS geostationary satellite, low Earth orbit (LEO)
satellite, and surface networks on summertime ozone simulations through
individual or joint data assimilation, built on our previous observing
system simulation experiment (OSSE) framework (Shu et al., 2022). We find that
data assimilation improves the monitoring of exceedance, spatial patterns,
and diurnal variations of surface ozone, with a regional mean negative bias
reduction from 2.1 to 0.2–1.2 ppbv in ozone simulations as well as
significant improvements of a root-mean-square error (RMSE) of by 5 %–69 %
in most Asian countries. Furthermore, the joint assimilation of GEMS and
surface observations performs the best. GEMS also brings direct added value
for better reproducing ozone vertical distributions, especially in the
middle to upper troposphere at low latitudes, but may mask the added value
of LEO measurements, which are crucial to constrain surface and upper
tropospheric ozone simulations when observations from other platforms are
inadequate. Our study provides a valuable reference for ozone data
assimilation as multisource observations become gradually available in the
era of GEO satellites.
Type of Medium:
Online Resource
ISSN:
1680-7324
DOI:
10.5194/acp-23-3731-2023
DOI:
10.5194/acp-23-3731-2023-supplement
Language:
English
Publisher:
Copernicus GmbH
Publication Date:
2023
detail.hit.zdb_id:
2092549-9
detail.hit.zdb_id:
2069847-1
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