Tropospheric ozone data assimilation in the NASA GEOS Composition Forecast modeling system (GEOS-CF v2.0) using satellite data for ozone vertical profiles (MLS), total ozone columns (OMI), and thermal infrared radiances (AIRS, IASI)

Environmental Research Letters, Journal Year: 2023, Volume and Issue: 18(9), P. 094036 - 094036

Published: Aug. 16, 2023

Abstract The NASA Goddard Earth Observing System Composition Forecast system (GEOS-CF) provides global near-real-time analyses and forecasts of atmospheric composition. current version GEOS-CF builds on the GEOS general circulation model with Forward Processing assimilation meteorological data (GEOS-FP) includes detailed GEOS-Chem tropospheric stratospheric chemistry. Here we add 3D variational in to assimilate satellite observations ozone including MLS vertical profiles, OMI total columns, AIRS IASI hyperspectral 9.6 μ m radiances. We focus our evaluations troposphere. find that chemistry significantly improves simulated background fields relative previous versions model, allowing for specification smaller errors resulting increments correct ozone. Assimilation are largest upper troposphere consistent between sets. generally provide more information than radiances except at high latitudes where information. Comparisons independent ozonesonde aircraft (ATom-4) 2018 show significant improvement from assimilation, particularly extratropical

Language: Английский

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Ozone and water vapor variability in the polar middle atmosphere observed with ground-based microwave radiometers

Atmospheric chemistry and physics, Journal Year: 2023, Volume and Issue: 23(16), P. 9137 - 9159

Published: Aug. 18, 2023

Abstract. Leveraging continuous ozone and water vapor measurements with the two ground-based radiometers GROMOS-C MIAWARA-C at Ny-Ålesund, Svalbard (79∘ N, 12∘ E) that started in September 2015 combining MERRA-2 Aura-MLS datasets, we analyze interannual behavior differences compile climatologies of both trace gases describing annual variation polar latitudes. A climatological comparison from our reanalysis satellite data was performed. Overall between volume mixing ratio (VMR) climatology are mainly within ±7 % throughout middle upper stratosphere exceed 10 lower mesosphere (1–0.1 hPa) March October. For climatology, average 5 agreement is VMR values (100–0.01 hPa). The to yields an reveals discrepancies larger than 50 above 0.2 hPa depending on implemented radiative transfer schemes other model physics. Furthermore, perform a conjugate latitude by defining virtual station Southern Hemisphere geographic coordinate S, investigate interhemispheric atmospheric compositions. Both show much more pronounced seasonal variability Northern Hemisphere. We estimate effective transport vertical velocities corresponding upwelling downwelling periods driven residual circulation. In Hemisphere, ascent rate (5 May 20 June 2015, 2016, 2017, 2018, 2021 15 April 31 2019 2020) 3.4 ± 1.9 mm s−1 4.6 1.8 Aura-MLS, descent (15 October 2015–2021) 5.0 1.1 5.4 1.5 altitude range about 50–70 km. 30 November rates 5.2 0.8 2.6 1.4 respectively. analysis further higher suitable monitor characterize evolution northern southern dynamics linked vortex as function time altitude.

Language: Английский

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Reply on RC2

Published: May 16, 2024

Abstract. The Geostationary Environment Monitoring Spectrometer (GEMS) launched in February 2020 is now providing continuous daytime hourly observations of nitrogen dioxide (NO₂) columns over East Asia (5° S–45° N, 75° E–145° E) with 3.5 × 7.7 km² pixel resolution. These data provide unique information to improve understanding the sources, chemistry, and transport oxides (NO_x) implications for atmospheric chemistry air quality, but opportunities direct validation are very limited. Here we correct operational level-2 (L2) NO₂ vertical column densities (VCDs) from GEMS a machine learning (ML) model match much sparser more mature low Earth orbit TROPOspheric Instrument (TROPOMI), preserving density making them consistent TROPOMI. We first reprocess TROPOMI L2 products use common prior profiles (shape factors) GEOS-Chem chemical model. This removes major inconsistency between two satellite greatly improves their agreement ground-based Pandora VCD source regions. then apply ML remaining differences, Δ(GEMS-TROPOMI), using as predictor variables VCDs retrieval parameters. train collocated VCDs, taking advantage off-track viewing cover wide range effective zenith angles (EZAs) diurnal profiles. most important Δ(GEMS-TROPOMI) EZA. corrected product unbiased relative shows variation regions than product.

Language: Английский

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Reply on RC1

Published: May 16, 2024

Abstract. The Geostationary Environment Monitoring Spectrometer (GEMS) launched in February 2020 is now providing continuous daytime hourly observations of nitrogen dioxide (NO₂) columns over East Asia (5° S–45° N, 75° E–145° E) with 3.5 × 7.7 km² pixel resolution. These data provide unique information to improve understanding the sources, chemistry, and transport oxides (NO_x) implications for atmospheric chemistry air quality, but opportunities direct validation are very limited. Here we correct operational level-2 (L2) NO₂ vertical column densities (VCDs) from GEMS a machine learning (ML) model match much sparser more mature low Earth orbit TROPOspheric Instrument (TROPOMI), preserving density making them consistent TROPOMI. We first reprocess TROPOMI L2 products use common prior profiles (shape factors) GEOS-Chem chemical model. This removes major inconsistency between two satellite greatly improves their agreement ground-based Pandora VCD source regions. then apply ML remaining differences, Δ(GEMS-TROPOMI), using as predictor variables VCDs retrieval parameters. train collocated VCDs, taking advantage off-track viewing cover wide range effective zenith angles (EZAs) diurnal profiles. most important Δ(GEMS-TROPOMI) EZA. corrected product unbiased relative shows variation regions than product.

Language: Английский

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Optimization of a PM_2.5 automatic monitoring network based on the modeling approach – A case study in Long An province, Vietnam

IOP Conference Series Earth and Environmental Science, Journal Year: 2024, Volume and Issue: 1383(1), P. 012023 - 012023

Published: Aug. 1, 2024

Abstract Currently, fine particulate matter (PM 2.5 ) pollution is one of the well-recognized serious environmental health risks. In particular, PM has remarkably impacted human respiratory, cardiovascular, and circulatory systems. Vietnam frequently ranked among countries with highest annual mean levels in Southeast Asia worldwide. Thus, building a real-time continuous ambient monitoring network an important management tool to reduce effects attributable exposure. Nevertheless, measurement locations air quality (AQM) depend strongly on meteorological conditions area sensitivity local primary emission sources, which significantly determines AQM network’s operational efficiency. This study aims estimate optimize outdoor sites automatic (AAQM) using system low-cost sensors Long An province, based spatio-temporal distribution assessment results concentrations from WRF (Weather Research Forecasting Model)/CMAQ (the Community Multiscale Air Quality) models. The prominent outcomes have shown that 2018 average concentration province exceeded threshold QCVN 05:2023/BTNMT (25 μg/m 3 5.6 7.9 times. Moreover, this proposed four optimal (AQ1, AQ2, AQ3, AQ4) for automatically observation areas Tan City, Can Giuoc District, ring roads 4, Kien Tuong Town. provided scientific basis support activities; furthermore, newly will complement province’s periodic program towards 2025.

Language: Английский

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