English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

. The Stochastic Time-Inverted Lagrangian Transport (STILT) modelis comprised of a compiled Fortran executable that carries out advection anddispersion calculations as well as a higher-level code layer for simulationcontrol and user interaction, written in the open-source data analysislanguage R. We introduce modifications to the STILT-R code base with the aimto improve the model's applicability to fine-scale (  1  km ) tracegas measurement studies. The changes facilitate placement of spatiallydistributed receptors and provide high-level methods for single- andmulti-node parallelism. We present a kernel density estimator to calculateinfluence footprints and demonstrate improvements over prior methods.Vertical dilution in the hyper near field is calculated using the Lagrangiandecorrelation timescale and vertical turbulence to approximate the effectivemixing depth. This framework provides a central source repository to reducecode fragmentation among STILT user groups as well as a systematic, well-documented workflow for users. We apply the modified STILT-R to light-railmeasurements in Salt Lake City, Utah, United States, and discuss how resultsfrom our analyses can inform future fine-scale measurement approaches andmodeling efforts.

geoscientific model development

Simulating atmospheric tracer concentrations for spatially distributed receptors: updates to the Stochastic Time-Inverted Lagrangian Transport model's R interface (STILT-R version 2)