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Daniel Breed

Researcher at National Center for Atmospheric Research

Publications -  23
Citations -  678

Daniel Breed is an academic researcher from National Center for Atmospheric Research. The author has contributed to research in topics: Seeding & Cloud seeding. The author has an hindex of 13, co-authored 22 publications receiving 573 citations.

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Haboob dust storms of the southern Arabian Peninsula

TL;DR: The United Arab Emirates Unified Aerosol Experiment (UAE2) provided a unique opportunity to observe the haboob activity common to this region by way of a large assortment of satellite, radar, lidar, and meteorological station network observations as discussed by the authors.
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Evaluating Winter Orographic Cloud Seeding: Design of the Wyoming Weather Modification Pilot Project (WWMPP)

TL;DR: The Wyoming Weather Modification Pilot Project (WWMPP) as discussed by the authors evaluated the effectiveness of cloud seeding with silver iodide in the Medicine Bow and Sierra Madre Ranges of south-central Wyoming.
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Implementation of a Silver Iodide Cloud-Seeding Parameterization in WRF. Part I: Model Description and Idealized 2D Sensitivity Tests

TL;DR: In this article, a silver iodide (AgI) cloud-seeding parameterization has been implemented into the Thompson microphysics scheme of the Weather Research and Forecasting model to investigate glaciogenic cloud seeding effects.
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Implementation of a silver iodide cloud-seeding parameterization in WRF. Part II: 3D simulations of actual seeding events and sensitivity tests

TL;DR: In this article, four cloud-seeding cases over southern Idaho during the 2010/11 winter season have been simulated by the Weather Research and Forecasting (WRF) model using the coupled silver iodide (AgI) cloud seeding scheme that was described in Part I.
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A case study of radar observations and WRF LES simulations of the impact of ground-based glaciogenic seeding on orographic clouds and precipitation. Part I: Observations and model validations

TL;DR: In this article, the impact of ground-based glaciogenic seeding on cloud and precipitation in a shallow stratiform orographic winter storm was examined using airborne radar data and accompanying large-eddy-simulation (LES) modeling.