Cyclone Tracking in Different Spatial and Temporal Resolutions

By R. Blender, M. Schubert. 2000

149 citations recorded by the source corpus.

Subfields: Atmospheric Science, Computational Mechanics

View Paper: https://www.semanticscholar.org/paper/e5d225f43872230eeb9692eed66b0c01e716a565

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. Michael Sprenger
2. Heini Wernli
3. C. Raible
4. C. Thorncroft
5. R. Caballero
6. K. Fraedrich
7. I. Simmonds
8. Xiaolan L. Wang

In Computational Mechanics

1. K. Fraedrich
2. Yang Feng

Citations in the corpus

• IMILAST: A Community Effort to Intercompare Extratropical Cyclone Detection and Tracking Algorithms (2013, background): “1 Space–time resolution of the input data may have a significant impact on cyclone statistics (Blender and Schubert 2000; Pinto et al. 2005; Jung et al. 2006), and high resolution is essential to help capture the full life cycles of cyclones and to ensure that even small cyclonic windstorms can be i”
• A Comparison of Recent Reanalysis Datasets Using Objective Feature Tracking: Storm Tracks and Tropical Easterly Waves (2003, background): “The study of Blender (2000), which compared cyclone tracking at different space and time resolutions using a combined spatiotemporal, measure is an elegant example of this methodology.”