A5058356055- Atmospheric chemistry and aerosols
- Air Quality Monitoring and Forecasting
- Air Quality and Health Impacts
- Atmospheric aerosols and clouds
- Atmospheric and Environmental Gas Dynamics
- Atmospheric Ozone and Climate
- Vehicle emissions and performance
- Odor and Emission Control Technologies
- Radiomics and Machine Learning in Medical Imaging
- Mercury impact and mitigation studies
- Machine Learning in Healthcare
- Water Quality Monitoring and Analysis
- Target Tracking and Data Fusion in Sensor Networks
- Inertial Sensor and Navigation
- Climate variability and models
- Environmental Policies and Emissions
- Arctic and Antarctic ice dynamics
- Transportation Planning and Optimization
- Ocean Acidification Effects and Responses
- Smart Materials for Construction
University of Helsinki
2019-2025
Abstract Over Boreal regions, monoterpenes emitted from the forest are main precursors for secondary organic aerosol (SOA) formation and primary driver of growth new particles to climatically important cloud condensation nuclei (CCN). Autoxidation leads rapid Highly Oxygenated Molecules (HOM). We have developed first model with near-explicit representation atmospheric particle (NPF) HOM formation. The can reproduce observed NPF, gas-phase composition SOA over forest. During spring, increases...
The understanding at a molecular level of ambient secondary organic aerosol (SOA) formation is hampered by poorly constrained mechanisms and insufficient analytical methods. Especially in developing countries, SOA related haze great concern due to its significant effects on climate human health. We present simultaneous measurements gas-phase volatile compounds (VOCs), oxygenated molecules (OOMs), particle-phase Beijing. show that condensation the measured OOMs explains 26–39% mass growth,...
Abstract A multitude of biogeochemical feedback mechanisms govern the climate sensitivity Earth in response to radiation balance perturbations. One mechanism, which remained missing from most current System Models applied predict future change IPCC AR6, is impact higher temperatures on emissions biogenic volatile organic compounds (BVOCs), and their subsequent effects hydroxyl radical (OH) concentrations. OH, turn, main sink term for many gaseous including methane, second important...
Abstract. Urban air consists of a complex mixture gaseous and particulate species from anthropogenic biogenic sources that are further processed in the atmosphere. This study investigated characteristics volatile organic compounds (VOCs) submicron aerosol (OA) traffic environment Helsinki, Finland, late summer. The VOCs (aVOCs; aromatic hydrocarbons) (bVOCs; terpenoids) relevant for secondary-organic-aerosol formation were analyzed with an online gas chromatograph mass spectrometer, whereas...
Abstract. The radiative properties of the clouds depend partially on cloud droplet number concentration, which is determined by available condensation nuclei (CCN) when are formed. In turn, CCN concentrations atmospheric particle size distribution and their chemical composition. Here, we use a novel modelling framework (SOSAA-FP) that combines a) backward trajectories from FLEXPART airmass dispersion model, b) detailed description chemistry aerosol dynamics SOSAA c) global emission datasets...
Abstract. The radiative properties of the clouds depend partially on cloud droplet number concentration, which is determined by available condensation nuclei (CCN) when are formed. In turn, CCN concentrations atmospheric particle size distribution and their chemical composition. Here, we use a novel modelling framework (SOSAA-FP) that combines a) backward trajectories from FLEXPART airmass dispersion model, b) detailed description chemistry aerosol dynamics SOSAA c) global emission datasets...
Abstract. The radiative properties of the clouds depend partially on cloud droplet number concentration, which is determined by available condensation nuclei (CCN) when are formed. In turn, CCN concentrations atmospheric particle size distribution and their chemical composition. Here, we use a novel modelling framework (SOSAA-FP) that combines a) backward trajectories from FLEXPART airmass dispersion model, b) detailed description chemistry aerosol dynamics SOSAA c) global emission datasets...
Abstract. The radiative properties of clouds depend partially on the cloud droplet number concentration, which is determined by concentration condensation nuclei (CCN) when are formed. In turn, CCN concentrations atmospheric particle size distribution and their chemical composition. We use a novel Lagrangian modelling framework to examine origins history gas aerosol components observed at boreal forest measurement site SMEAR II, potential act as CCN. This combines: a) global emission...
We integrated Enviro-HIRLAM (Environment-High Resolution Limited Area Model) meteorological output into FLEXPART (FLEXible PARTicle dispersion model). A simulation requires input from a numerical weather prediction (NWP) model. The publicly available version of can utilize either ECMWF (European Centre for Medium-range Weather Forecasts) Integrated Forecast System (IFS) forecast or reanalysis NWP data, NCEP (U.S. National Center Environmental Prediction) Global (GFS) data. primary benefits...
Abstract. In this study, we modeled the aerosol particle formation along air mass trajectories arriving at remote Arctic research stations Gruvebadet (67 m a.s.l.) and Zeppelin (474 a.s.l.), Ny-Ålesund, during May 2018. The aim of study was to improve our understanding processes governing secondary in marine environments. We run Lagrangian chemistry transport model ADCHEM, generated with FLEXPART v10.4. masses Ny-Ålesund spent most their time over open ice-free ocean. order capture from DMS...
Abstract. We introduce the Atmospherically Relevant Chemistry and Aerosol box model ARCA (v.1.2.2). It is a zero-dimensional process with focus on atmospheric chemistry submicron aerosol processes, including cluster formation. A novel feature in its comprehensive graphical user interface, allowing for detailed configuration documentation of simulation settings, flexible input, output visualization. Additionally, interface contains tools module customization input data acquisition. These...
Organic aerosols (OA) have gained attention as a substantial component of atmospheric owing to their impact on visibility, climate, and human health. Although oxygenated organic molecules (OOMs) are essential contributors OA formation, the sources, transformations, fates OOMs not fully understood. Herein, anthropogenic (AOOMs), volatile compounds (AVOCs), were concurrently measured in Xiamen, coastal city southeastern China. Our results show that AOOMs exhibited high nitrogen content (76%)...
The Pan-Eurasian Experiment Modelling Platform (PEEX-MP) is one of the key blocks PEEX Research Programme. MP has more than 30 models and directed towards seamless environmental prediction. main focus area Arctic-boreal regions China. used in PEEX-MP cover several components Earth's system, such as atmosphere, hydrosphere, pedosphere biosphere, resolve physical-chemical-biological processes at different spatial temporal scales resolutions. This paper introduces discusses multi-scale...
In the last few decades, atmospheric formation of secondary organic aerosols (SOA) has gained increasing attention due to their impact on air quality and climate. However, methods predict abundance are mainly empirical may fail under real conditions. this work, a close-to-mechanistic approach allowing SOA quantification is presented, with focus chain-like chemical reaction called "autoxidation". A novel framework employed (a) describe gas-phase chemistry, (b) products' molecular structures...
Modeling atmospheric chemistry is complex and computationally intense. Given the recent success of Deep neural networks in digital signal processing, we propose a Neural Network Emulator for fast chemical concentration modeling. We consider as time-dependent Ordinary Differential Equation. To extract hidden correlations between initial states future time evolution, ChemNNE, an Attention based (NNE) that can model ODE process. efficiently simulate changes, sinusoidal embedding to estimate...
The new particle formation (NPF) process is a significant source of atmospheric secondary particles, which has remarkable impacts on the regional air quality and global radiative forcing. Most NPF studies conduct their measurements at single site, can hardly provide information about regionality events large scales (>100 km). During 2022 Winter Olympic Paralympic Games, simultaneous number size distributions NPF-associated precursors were conducted mountainous site close to Village in...
We applied the 1D model SOSAA to simulate atmospheric concentrations of OH, NO 3 , and H 2 SO 4 from 2007 2018 at SMEAR II. The results showed that daily OH increased by 2.39% per year decreased 3.41% 2.78% year, respectively.
Abstract. We introduce the Atmospherically Relevant Chemistry and Aerosol box model ARCA (v.1.2.0). It is a zero-dimensional process with focus in atmospheric chemistry submicron aerosol processes, including cluster formation. Novel feature its comprehensive graphical user interface, allowing for detailed configuration documentation of simulation settings, flexible input output visualization. Additionally, interface contains tools module customization data acquisition. These properties –...