DAD-drift

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Autore principale: Fuchs, Mike Devin
Natura: Recurso digital
Pubblicazione: Zenodo 2026
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_version_ 1866901879848435712
author Fuchs, Mike Devin
author_facet Fuchs, Mike Devin
contents <p>This release extends the Gaussian puff formulation used in DAD-drift and improves computational performance.</p> <p>The primary motivation for this development was to address symmetric Gaussian behavior that may result in non-zero upwind deposition under certain conditions. To this end, a skewing term in the downwind direction has been implemented.</p> <p>As part of this development, the Gaussian puff model was further extended to a fully shear-resolved formulation using multiple vertical slices. This required a revised treatment of the wind profile representation within the model.</p> <p>In addition, the numerical treatment of spray drift deposition was refined by replacing point-based sampling at fixed coordinates with an integration over grid cells in the horizontal plane. This reduces numerical sensitivity to sampling intervals and improves the robustness of deposition estimates.</p> <p>Several algorithmic optimizations were also implemented, resulting in substantially reduced computation times compared to v1.0.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_18174935
institution Zenodo
language
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle DAD-drift
Fuchs, Mike Devin
drift
spray drift
pesticides
plant protection products
risk assessment
atmospheric dispersion
Gaussian diffusion
DAD-drift
model
modelling
environmental
<p>This release extends the Gaussian puff formulation used in DAD-drift and improves computational performance.</p> <p>The primary motivation for this development was to address symmetric Gaussian behavior that may result in non-zero upwind deposition under certain conditions. To this end, a skewing term in the downwind direction has been implemented.</p> <p>As part of this development, the Gaussian puff model was further extended to a fully shear-resolved formulation using multiple vertical slices. This required a revised treatment of the wind profile representation within the model.</p> <p>In addition, the numerical treatment of spray drift deposition was refined by replacing point-based sampling at fixed coordinates with an integration over grid cells in the horizontal plane. This reduces numerical sensitivity to sampling intervals and improves the robustness of deposition estimates.</p> <p>Several algorithmic optimizations were also implemented, resulting in substantially reduced computation times compared to v1.0.</p>
title DAD-drift
topic drift
spray drift
pesticides
plant protection products
risk assessment
atmospheric dispersion
Gaussian diffusion
DAD-drift
model
modelling
environmental
url https://doi.org/10.5281/zenodo.18174935