Results 101 to 110 of about 1,349 (138)

A study on atmospheric relative dispersion using the transport model FLEXPART

open access: yes, 2011
Relative dispersion is a widely used measure to characterize mixing properties of atmospheric passive tracers. Numerical models allow for a large number of particles. In this thesis, the Lagrangian transport model FLEXPART has been used to generate particle trajectories.
openaire   +1 more source

Source areas and effect of wet deposition on particles detected at SMEAR II measurement station as studied with FLEXPART

open access: yes, 2016
Aerosol particles are one of the most studied phenomena of modern days because their concretion and chemical compositions affect, both directly and indirectly, many aspects of society, for example, human health. The source areas of the particles affects
Kivimäki, Ella
core  

A Comparative Study between FLEXPART-WRF and HYSPLIT in an Operational Setting: Analysis of Fire Emissions across complex geography using WRF

open access: yes, 2010
Transport and dispersion models are frequently used by the meteorological community to understand and predict the trajectories of anthropogenic, natural and accidental chemical releases of hazardous materials.
Pagano, Lara Elizabeth
core  

Digital Twin Development in Omniverse: the FLEXPART Particle Dispersion Case

open access: yes
The first use of a digital twin goes back to the 1960's, originating from NASA, when they attempted to create one for the Apollo 13 mission using multiple simulators, with the intent of failure prediction and error prevention. Although the concept of digital twins has been around for several decades, the recent boom in the fields of computer ...
openaire   +1 more source

Changes in Moisture Sources of Atmospheric Rivers Landfalling the Iberian Peninsula With WRF‐FLEXPART

open access: yesJournal of Geophysical Research D: Atmospheres, 2023
Abstract This paper makes use of a combination of FLEXPART‐WRF simulations forced with ERA5 and the CESM2 model—incorporated in the CMIP6 project—to infer a series of changes over the present century in the behavior of the landfalling atmospheric rivers (ARs) arriving to the Iberian Peninsula.
JOSÉ C Fernández-Álvarez   +2 more
exaly   +5 more sources

Lagrangian Particle Dispersion Models in the Grey Zone of Turbulence: Adaptations to FLEXPART-COSMO for Simulations at 1 km Grid Resolution [PDF]

open access: yesBoundary-Layer Meteorology, 2022
Lagrangian particle dispersion models (LPDMs) are frequently used for regional-scale inversions of greenhouse gas emissions. However, the turbulence parameterizations used in these models were developed for coarse resolution grids, hence, when moving to ...
Katharopoulos Ioannis   +2 more
exaly   +2 more sources
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Revamping FLEXPART for the next generation of simulations

2022
<p>The Lagrangian atmospheric transport model, FLEXPART, is used to investigate a broad spectrum of topics within the atmospheric sciences, from the propagation of particles emitted during nuclear accidents to global moisture transport.
Lucie Bakels   +7 more
openaire   +1 more source

Effects of improved interpolation in the wet-scavenging scheme of FLEXPART

2021
<p>The Lagrangian dispersion model FLEXPART v10.4 uses cloud water content, temperature, and precipitation rates to calculate wet scavenging. Currently, only precipitation fields are interpolated spatially to the particle positions. A simple nearest-neighbour approach is used for cloud parameters and temperature. This is made worse by the
Anne Tipka, Petra Seibert
openaire   +1 more source

Scavenging and Convective Clouds in the Lagrangian Dispersion Model FLEXPART

2017
The Lagrangian particle dispersion model (LPDM) FLEXPART includes a parameterisation of wet scavenging. With FLEXPART version 8, an improved scheme was introduced which distinguishes between in-cloud and below-cloud scavenging. However, clouds are only diagnosed from grid-scale variables and thus convective clouds are neglected. Although the convection
Philipp, Anne, Seibert, Petra
openaire   +2 more sources

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