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FS 3.143

Atmospheric Composition

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  • Full Title

    FS 3.143: Atmospheric Processes and Composition in Complex Environments
  • Scheduled

    TBA
  • Location

    TBA
  • Convener

  • Co-Conveners

    ---

  • Assigned to Synthesis Workshop

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  • Thematic Focus

    Atmosphere, Ecosystems
  • Keywords

    carbon dixoide, gases, aerosols, air pollution, climate forcers

Description

This session welcomes contributions related to chemical and compositional processes in the atmosphere relevant to complex environments including mountainous areas. While the physical modification by orography has been largely acknowledged, the status of atmospheric composition is much less understood. Atmospheric chemistry in mountainous regions is made complex by the interplay between dynamical effects and a diverse precursor mix of ozone and aerosol-forming compounds. Early modelling attempts found an underestimation of tropospheric ozone (e.g. ALPNAP) in the greater Alpine region. Another interesting aspect relates to aerosol formation processes, that have been observed to be amplified in the presence of complex topography. From a remote sensing point of view, only now atmospheric composition starts being resolved at spatial scales that can capture individual valleys (e.g. CAMS, COPERNICUS). Past shortcomings in remote sensing observations of the atmosphere over mountains therefore need to be urgently addressed by taking advantage of new high resolution models and a wide array of in-situ observations. From a chemical point of view, complex does not necessarily only relate to topography, but also to situations where highly heterogenous and complex surface emissions impact the chemistry of the atmosphere. We therefore would like to solicitate observational (remote sensing and in-situ) and modelling contributions from all aspects where complexity plays a role, this certainly includes regions impacted by mountains, but should not exclude regions where complexity is defined in a different context.

Submitted Abstracts

ID: 3.9116

Unravelling the performance of atmospheric radiative transfer schemes in the simulation of mean surface climate in Central Africa using the RegCM5 climate model

Emma Estelle Djouka Kankeu
Gabin Parfait, Demanou Koudjou

Abstract/Description

The theory of radiative transfer in the atmosphere is crucial in the study of climate, because radiative exchanges are at the origin of the atmospheric dynamics. It is therefore important to evaluate this phenomenon in order to be able to take effective measures to tackle climate change. The objective of this work is to evaluate the capability of the RegCM5 climate model to reproduce radiative transfer over Central Africa. The analysis is carried out over a 10-year period, from January 2002 to December 2011 preceded by 1 year as spin-up. RegCM5 model were evaluated using the ERA5 dataset for the radiative transfer parameters (the shortwave radiation [SWR], longwave radiation [LWR], cloud cover [CLT], surface albedo [ALB] and surface temperature), as well as CHIRPS dataset for precipitation. Three subregions were identified for more specific analysis of the model, namely the Sahel, Congo basin and Cameroon highlands. Two radiative schemes were used: the radiative scheme of the community climate model (CCM) and Rapid Radiative Transfer Model (RRTM). The assessment of radiative transfer parameters was carried out by examining their seasonal variability and annual cycles using data from two RegCM5 experiments, RegCM5-CCM3 and RegCM5-RRTM. Before this assessment, a sensibility analysis to convective schemes carried out with the default RegCM5 radiative scheme (CCM3) shows that Grell scheme with Arakawa and Shulber closure is the best scheme to represent key radiation parameters (LWR and SWR). This convective scheme is therefore used for assessing the two Radiative transfer schemes. Results show that both RegCM5 experiments simulate relatively well the variables linked to radiative transfer for the four seasons of the year. However, RegCM5 with RRTM as radiative scheme depicts better performance over all subregions and seasons, suggesting that the choice of this scheme does not depend on land cover, topography and rainfall regimes in a complex region such as Central Africa.

ID: 3.9492

The land surface-atmospheric interaction over the complex mountain terrain in the southeastern area of the Tibetan Plateau

Huizhi Liu

Abstract/Description

The Hengduan mountain situated in the southeast area of the Tibetan Plateau is in the conjunction area of the south Asia monsoon and southeast Asia monsoon, and it is also the heating sensitive area of the atmospheric heating source. It is of great importance for the understanding of the key processes of the atmospheric water resource in the Tibetan Plateau to investigate the effects and its parameterization schemes of the interaction between the land surface and the atmosphere on the water and energy exchange processes in this region. Based on the continuous eddy covariance measurements from the Erhai lake, Lijiang alpine grassland and Tengchong Beihai wetland land surface process observation sites, the characteristics of the interaction between the wetland/ lake/ grassland surfaces and the atmosphere will be analyzed. Combined with remote sensing datasets, the effect of the interaction between the land and the atmosphere on regional water and energy budgets and its theoretical model will be investigated in this region. The applicability of planetary boundary layer parameterizations schemes over this region in the mesoscale models will be validated. New parameterization schemes for the water and heat process in the planetary boundary layer over complex regions in mesoscale models will be developed. We try to find the mechanism of the effects of the exchange processes between the land surface and the atmosphere on energy and water cycles at regional scales (10-30 km) over complex terrain in the southeast part of the Tibetan Plateau.

ID: 3.11813

Long-term (2000-2022) scenario of aerosol pollution over the IGP and Himalayan region: Decadal changes and identification of potential source regions

Soumen Raul
Dutta, Monami; Chatterjee, Abhijit

Abstract/Description

The Himalayan region, adjacent to the highly polluted Indo-Gangetic Plain (IGP), has experienced rising air pollution due to emissions from construction, vehicles, industry, and biomass burning. These sources contribute significantly to aerosols in the high-altitude Himalayas. This study examines long-term (2000-2022) aerosol pollution scenarios using MODIS AOD, Ångström Exponent, and MERRA-2 data to assess aerosol loading and its trends, source regions, and dominant aerosol types. The lower IGP is the most polluted hotspot (0.64±0.09), followed by the middle (0.60±0.10) and upper IGP (0.49±0.10), while the central Himalayas show higher AOD (0.028±0.08) than other Himalayan parts. AOD trends (yr⁻¹) show an increasing pattern in IGP (lower: ~0.016, middle: ~0.01, upper: ~0.004), whereas Himalayan regions exhibit minimal variation (~0.001-0.003). Carbonaceous (Black Carbon, Organic Carbon) and Sulphate (SO₄²⁻) aerosols show rising trends in the lower IGP and eastern Himalayas (within Himalayas), with stronger increases in the 2000s than in the 2010s, though (%) changes are higher in the 2010s. Dust aerosols follow an opposite decadal trend. Concentration-weighted trajectory (CWT) and cluster analysis identify western/north-western regions and upper IGP as key aerosol sources for the western Himalayas. The middle IGP, along with these regions, contributes to central Himalayan pollution, while lower IGP, North-East India, and intra-Himalayan transport affect the eastern Himalayas. MODIS AOD-Ångström Exponent analysis reveals increase in biomass burning/urban industrial (BB/UI) aerosols in central and eastern Himalayas from the 2000s to 2010s. BB/UI aerosols dominate the IGP and North-East India, increasing by 7-10% during 2010s. Controlling emissions in the highly polluted IGP region is crucial to mitigating aerosol pollution in the fragile Himalayan region.

ID: 3.12413

Aerosol Profiles with Pandora Sky Measurements

Marie Stöckhardt
Proietti Pelliccia, Giorgia; Momoi, Masahiro; Herreras-Giralda, Marcos; Lopatin, Anton; Torres, Benjamin; Cede, Alexander; Lind, Elena; Dubovik, Oleg; Kreuter, Axel

Abstract/Description

Influencing the radiation budget of the atmosphere and air quality, aerosol particles are crucial in climate change research and public health. Aerosols can have a wide range of optical and microphysical properties with high temporal and spatial variability, which poses a challenge in comprehensively characterizing them. The aerosol vertical distribution is relevant for several reasons: as a priori information for satellite retrievals, for constraining the impact on radiative processes and cloud formation and for particle concentration at the surface.
Lidar instruments are well established tools for retrieving aerosol profiles. Passive ground-based remote sensing measurements also provide information on aerosol profiles, but there is no established retrieval method yet. With their highest sensitivity being at low altitudes, they could complement the lidar method, which is limited to altitudes above 500m to 1000m. The Pandora spectrometer system and the Cimel photometer routinely perform direct sun and sky measurements within the Pandonia Global Network (PGN) and the Aerosol Robotic Network (AERONET). Trace gas profiles of NO2, HCHO and H20 are already retrieved based on so-called Multi-Axis Differential Optical Absorption Spectroscopy (MAX-DOAS) observations, i.e. spectral sky radiance measurements at various elevation angles (at a constant azimuth angle) and applying a spectral fitting method.
Aerosol profiles are more complex to retrieve because their impact on sky radiance has no spectral signature and depends on their optical properties, which may vary widely between different types.
Here we report on first results of aerosol profile retrievals from passive ground-based remote sensing for Innsbruck, Austria. In this study we analyse two approaches. First, we use a parametrized approach based on relative sky radiance and retrieved absolute slant column densities of the oxygen dimer (O2O2) from Pandora. AOD per layer is calculated based on the comparison with look-up tables of a pure Rayleigh atmosphere and scaled by total AOD. This approach would facilitate the integration as near-real-time PGN product.
Second, we apply the optimal estimation technique of a modified version of the GRASP algorithm, fitting the measurements of sky radiance from the AERONET and slant columns from the PGN to a radiative transfer model.

ID: 3.12438

Seasonal variability of aerosol properties at Testa Grigia Observatory (3480 m), in the western Italian Alps

Stefania Gilardoni
Bonasoni, Paolo; Marinoni, Angela; Gencarelli, Christian; Diemoz, Henri; Bellini, Annachiara; Mariani, Eros; Provenzale, Antonello; Mazari, Luigi; Petracchini, Francesco

Abstract/Description

Observations of atmospheric aerosols at high elevations play a crucial role in monitoring changes in atmospheric background composition, evaluating the effects of both anthropogenic and natural aerosols at a regional scale, and enhancing our understanding of aerosol-cloud interaction mechanisms. However, high-altitude observations are limited due to environmental and technical challenges.
We will present aerosol measurements collected at the Testa Grigia Observatory, at 3,480 m in the Italian Alps. This observatory was established in 1948 for cosmic ray measurements, and continuous monitoring of aerosol particle number size distribution (ranging from 0.25 to 35 micrometers) and aerosol absorption coefficients began in 2021.
Through multivariate statistical analysis of the variability in particle number size distribution over two-year period, we identified three distinct regimes: clean conditions, long-range dust transport episodes, and pollution transport events. Back trajectory analysis indicates that clean conditions occur when the observatory is influenced by air masses that spend most of their time in the free troposphere. Pollution transport events are characterized by an increase in particle numbers in the accumulation mode, occurring exclusively during the warm season when the boundary layer extends to higher elevations. During this regime, we observed higher particle loadings, particularly when local meteorology favors transport from the Po Valley. Dust transport episodes were noted during the spring and summer, coinciding with reanalysis provided by the CAMS (Copernicus Atmosphere Monitoring Service) models.
A better understanding of the link between aerosol microphysical properties and their sources and atmospheric transport is essential for modeling the impact of particulate matter on climate change and local weather patterns.

ID: 3.12585

Bioaerosol monitoring and research at the Sonnblick Observatory (3106 m asl)

Julia Burkart
Bucci, Silvia; Kölzer, Karen; Stohl, Andreas; Weinzierl, Bernadett; Ludewig, Elke; Bastl, Maximilian

Abstract/Description

Bioaerosols are an integral and ubiquitous component of the atmospheric aerosol. Despite this, they have received little attention in the atmospheric sciences for many years. Recently, however, interest in bioaerosols has been stimulated by growing evidence that bioaerosols are not only a health concern, but may also play an important role in cloud formation. At the same time, automated and on-line instrumentation for bioaerosol research has emerged, promising new insights into the abundance and distribution patterns of bioaerosols by providing higher time resolution and less labor-intensive measurements. In particular, measurements at a mountain station in atmospheric regions where clouds form are rare.

At the Sonnblick Observatory we have installed a SwisensPoleno Jupiter next to a traditional Hirst-type pollen trap since April 2023. The SwisensPoleno Jupiter is an online aerosol monitor that obtains scattered light, two holographic images and fluorescence signals of individual aerosol particles. Using the Hirst pollen trap, particles are collected on a sticky tape and later manually examined under a microscope to visually identify pollen and fungal spores. This data is used to validate the automatic measurements.

In this presentation we will focus our discussion on selected time periods where FLEXPART simulations indicate long-range transport of air masses, e.g. from the Saharan region. For these periods, we have taken a closer look at the fluorescence properties of the particles together with the holographic images. In a previous laboratory study, we obtained representative fluorescence signals for three classes of bioaerosol particles: pollen, fungal spores and plant debris. We use these data in combination with pollen and spore counts from the Hirst trap to characterize the selected events and to contrast and compare them with periods of stagnant conditions and stronger local influence.

ID: 3.12676

Evaluating the influence of heat waves on pollutant concentrations in the Pyrenees from in-situ measurements and Sentinel data

Laura Trapero
Udina, Mireia; Marín, Víctor; Campos, Cristina; Busquets, Eulàlia; Solà, Yolanda; Bech, Joan; Albalat, Anna

Abstract/Description

Tropospheric ozone (O₃) is a secondary atmospheric pollutant formed through photochemical reactions between nitrogen oxides (NOₓ) and volatile organic compounds (VOCs) under the influence of solar radiation. Ozone formation and accumulation are particularly relevant during the summer when high temperatures intensify photochemical reactions and can be advected by recirculations or formed in the presence of precursors during heat wave episodes. Instead, nitrogen dioxide (NO2) concentrations mainly increase during winter with stagnant stability conditions and enhanced by the presence of thermal inversions. In this study we present an analysis of the pollutant concentrations in the Pyrenees and we also seek to find its relationship with heat wave episodes. A total of 20 ozone monitoring air quality stations located in the cross-border area of the Pyrenees are analyzed for the 5-year period from 2019 to 2023. Results show that the information threshold is exceeded occasionally in Bellver, Berga, Montsec, Torrelisa and Lourdes. We also found that urban locations such as Prat Gran (Andorra) and Iturrama (Basque Country) have lower mean ozone levels while rural places such as Montsec (Catalunya) and Torrelisa (Aragón) register the highest mean ozone levels. Using ERA5 data a total of 17 heat wave periods are selected during 5 years, including a total of 105 days. The highest ozone concentrations occurred in summer and during these heat wave periods (defined as 3 or more consecutive days that exceed the P99 of hourly temperatures). On the other hand, the spatial distribution of NO2 vertical tropospheric column from Sentinel 5P revealed localized maximums during winter season. This study was performed in the framework of the project “Towards a climate resilient cross-border mountain community in the Pyrenees (LIFE22-IPC-ES-LIFE PYRENEES4CLIMA)”.

ID: 3.13052

Integrating Sentinel-II NDVI data into eddy-covariance postprocessing

Leonardo Montagnani
Callesen, Torben; Candotti, Anna; Montagnani, Leonardo

Abstract/Description

Title: Integrating Sentinel NDVI data into eddy covariance postprocessing Authors: Torben Callesen, Anna Candotti, Leonardo Montagnani Mountain eddy covariance (EC) sites are often characterised by a high degree of heterogeneity in land cover. Combined with other factors like diel variation in wind direction and atmospheric decoupling due to slope wind circulation, this can cause measurement bias in the integrated flux signal. While current footprint partitioning tools focus on interpretation of processed data, the increasing availability of high-resolution remote sensing products may facilitate a more automated and fundamental inclusion of site surface information in the data processing pipeline. This study combines a 10 m resolution NDVI site map derived from Sentinel-2 Level 2-A bands with footprint projections calculated using the open-source tool provided by Kljun et al. (2015) to obtain weighted surface characteristics for each half-hourly averaging period. Data comprising three months of EC measurements from three different sites with complex topographies and heterogenous land cover was used for analysis. Postprocessing was performed using the REddyProc R package (Wutzler et al., 2018) following otherwise common flux network procedure (Pastorello et al., 2020). We demonstrate that remote sensing information such as NDVI may be integrated into data quality flagging, gap-filling and flux partitioning with marked impacts on these processes due to the improved ability to explain variation in net ecosystem exchange (NEE). Although, as with many filtering approaches, segregation by footprint-weighted NDVI may suffer from bias due to concurrent wind and meteorological conditions, appropriate grouping has proven sufficient to allow existing algorithms enough data to function reliably in each of the three very different site cases. We therefore recommend that, with future refinement, this and similar remote sensing products be integrated into standard EC postprocessing methodology.

ID: 3.13486

Aerosol induced Changes in Glacial and Polar Ice Melt: A Multi-Scale Analysis using Remote Sensing and Transport Modeling

Satyajit Singh Saini
Arya, Dhyan Singh

Abstract/Description

While temperature anomalies are the primary drivers of glacial and polar ice melt, aerosols play a significant yet less explored role in accelerating this process. Black carbon (BC) and secondary organic aerosols (SOAs), transported over long distances, deposit onto ice surfaces, reducing albedo and enhancing radiative forcing. This leads to increased absorption of solar radiation, triggering feedback mechanisms that further amplify regional warming. Understanding the role of aerosols in glacial melt is essential for improving climate projections and mitigation strategies. This study aims to quantify aerosol deposition and its impact on ice melt using a combination of satellite remote sensing, reanalysis datasets, and atmospheric transport modeling. MODIS Aerosol Optical Depth (AOD) data, along with MERRA-2 and ERA5 reanalysis, will provide spatial and temporal trends of aerosol presence over glaciated regions. HYSPLIT backward trajectory analysis will identify potential source regions contributing to aerosol deposition in polar and high-altitude glacier environments. To assess radiative effects, the SNICAR model (Snow, Ice, and Aerosol Radiation model) will simulate surface albedo changes due to BC and SOA accumulation, improving our understanding of aerosol-induced cryosphere feedbacks. By integrating observational datasets with transport modeling, this research aims to establish a framework for assessing the role of anthropogenic and natural aerosol sources in glacial melt. The findings will help refine climate models and contribute to targeted policy recommendations for emission controls, particularly in the areas where aerosol impacts on the cryosphere remain insufficiently constrained.

ID: 3.13856

Insights into Atmospheric Composition and Climate Variability in Caucasus Ice Cores and Snow Pits via Trace Element Analysis

Maria Vinogradova
Vorobyev, Mstislav; Mikhalenko, Vladimir; Khairedinova, Aleksandra; Nikolaeva, Elizaveta; Kutuzov, Stanislav; Chizhova, Yulia

Abstract/Description

Mountain glaciers act as natural archives of atmospheric composition, preserving records of trace element deposition from both natural and anthropogenic sources. In this study, we analyze trace element concentrations in a deep ice core and multiple seasonal snow pits from a high-altitude Caucasus glacier. Using inductively coupled plasma mass spectrometry (ICP-MS) we investigate the temporal variability of heavy metals and assess their potential sources. Comparisons with Alpine ice core records reveal both local and long-range transport influences, including industrial emissions and regional atmospheric circulation patterns. Snow pit data provides insight into recent short-term variability and complements the long-term ice core record. Our findings contribute to a better understanding of trace element deposition processes in high-altitude glaciers, offering valuable data for climate model refinement and pollution reconstruction in the Caucasus region. This research enhances knowledge of atmospheric composition in complex environments and its implications for past and present environmental change.

ID: 3.17208

Methane Emissions in a Mountainous Urban Setting: Insights from Eddy Covariance Measurements

Michael Stichaner
Karl, Thomas; Jud, Werner; Lamprecht, Christian; Jensen, Niels; Peron, Arianna; Graus, Martin; Manca, Giovanni

Abstract/Description

Innsbruck, an urban area nestled in a mountainous region, presents unique challenges for atmospheric research due to its complex orography. This inherent complexity complicates the accurate quantification of emission sources, particularly greenhouse gases such as methane. Recognizing the importance of methane in climate change and its associated uncertainties in alpine environments, the Innsbruck Atmospheric Observatory (IAO) at the University of Innsbruck has implemented a long-term monitoring strategy employing the eddy covariance measurement technique. As a Top-Down approach, these measurements provide direct emission estimates that complement and validate conventional Bottom-Up emission inventories, which often rely on assumptions about activity data and emission factors.
Our multi-year dataset, combining continuous observations of methane, carbon dioxide, and nitrogen oxides with campaign-based non-methane volatile organic compound (NMVOC) flux measurements, enables a detailed characterization of urban methane emissions. We identify pre-flush operations and inefficient gas furnaces as the dominant methane sources, with fluxes showing a strong correlation with ethane and a negative temperature dependence. The observed ethane-to-methane ratio (~5%) aligns with the composition of the regional gas supply.
The estimated 20-year global warming potential (GWP) of methane emissions from the residential, commercial, and public sectors could be as high as 20–30% relative to CO₂ emissions, underlining the significance of unburned methane as a climate-relevant pollutant. Our findings highlight the potential for immediate emission reductions through the transition from gas furnaces to heat pumps, offering a clear path for mitigating methane emissions in urban areas. In this regard, the study emphasizes the value of long-term flux measurements in alpine urban environments for improving regional climate models and guiding effective mitigation strategies.