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Lance M. Leslie

Researcher at University of Technology, Sydney

Publications -  249
Citations -  5326

Lance M. Leslie is an academic researcher from University of Technology, Sydney. The author has contributed to research in topics: Numerical weather prediction & Tropical cyclone. The author has an hindex of 38, co-authored 245 publications receiving 4886 citations. Previous affiliations of Lance M. Leslie include IBM & Monash University, Clayton campus.

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Evolution of the U.S. Tornado Database: 1954–2003

TL;DR: In this paper, a simple least squares linear regression was fitted to the annual number of tornado reports and the F1 and greater Fujita-scale record was used in determining a big tornado day.
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Northeast Asian dust storms: Real‐time numerical prediction and validation

TL;DR: In this article, an integrated wind erosion modeling system is used for 24-, 48-, and 72-hour forecasts of northeast Asian dust events for March and April 2002, and the predictions are validated with synoptic records from the meteorological network and dust concentration measurements at 12 stations in China, Japan, and Korea.
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Wind erosion prediction over the Australian continent

TL;DR: In this paper, an integrated wind erosion assessment and prediction system which couples a wind erosion scheme with an atmospheric prediction model and a Geographic Information System database is presented, which is applied to the February 1996 dust storms over the Australian continent, and the predictions are in good agreement with meteorological records and satellite images.
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Large-scale atmospheric circulation and global sea surface temperature associations with Horn of Africa June–September rainfall

TL;DR: In this paper, the authors explored the relationship between the June-September rainfall in the Horn of Africa (especially Ethiopian) and large-scale regional atmospheric circulation patterns across Africa and the Atlantic and Indian Oceans, and global sea surface temperature (SST) anomalies.
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The Basic Relationship between Tropical Cyclone Intensity and the Depth of the Environmental Steering Layer in the Australian Region

TL;DR: In this article, a simple barotropic model is employed to investigate relative impacts on tropical cyclone motion forecasts in the Australian region when wind analyses from different tropospheric levels or layers are used as the input to the model.