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Perspicacious indicators of atmospheric blocking
Open accessAbstract
A novel dynamically‐based approach is introduced to identify, describe and diagnose atmospheric blocking events. The approach is based upon the potential vorticity perspective and takes into account the three‐dimensional structure of the phenomenon. It is argued that the essence of a blocking anomaly is located in the upper troposphere, just below the tropopause. The associated novel blocking indicators are derived from two‐dimensional fields at 6‐hourly temporal resolution, and provide information on the spatial scale, shape, amplitude and movement of blocks. A northern hemisphere winter (DJF) climatology for the ERA15 period (1979–1993) is presented and comments are made on the relationship between the indicators and previous blocking indices.
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Citations
Cited by
A Climatology of Northern Hemisphere Blocking
Barriopedro, D., García-Herrera, R., Lupo, A. R., & Hernández, E. (2006) · Journal of Climate · doi:10.1175/jcli3678.1 · Cited by 420
Atmospheric blocking and weather extremes over the Euro-Atlantic sector – a review
Kautz, L.-A., Martius, O., Pfahl, S., Pinto, J. G., Ramos, A. M., Sousa, P. M., & Woollings, T. (2022) · Weather and Climate Dynamics · doi:10.5194/wcd-3-305-2022 · Cited by 337
Metadata
- Authors
- Schwierz, C., Croci‐Maspoli, M., & Davies, H. C.
- Venue
- Geophysical Research Letters
- Publisher
- American Geophysical Union (AGU)
- Published
- 2004-03
- Volume
- 31
- Issue
- 6
- ISSN
- 0094-8276 (ISSN-L)
- 1944-8007
- OpenAlex
- W2067778350
- Cited by
- 304
- References
- 0
- FWCI
- 2.72
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Schwierz, C., Croci‐Maspoli, M., & Davies, H. C. (2004). Perspicacious indicators of atmospheric blocking. Geophysical Research Letters. https://doi.org/10.1029/2003gl019341
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.