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Massachusetts Institute of Technology

Precursors to atmospheric blocking events

Abstract

dc:description.abstract

Atmospheric blocking disturbs synoptic-scale features from their normal eastward progression, causing extreme weather conditions for the duration of the blocking event. Blocking precursors, as indicators of meridional flow preceding the onset of strong Atlantic blocking episodes, have been identified by using a modified version of the Tibaldi and Molteni blocking index (1990). Hovmoller diagrams of the modified index were found to be particularly useful in finding the potential cases, clearly showing a precursor signal propagating from the western United States down to the Atlantic to initiate the blocking pattern. A composite of the 14 cases identified showed the precursor pattern to be consistent with the positive phase of the PNA, while the composite mature phase of Atlantic blocking resembles the negative NAO and AO phases. The results suggest that blocking is a global, rather than localized, phenomenon.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2008

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Marino, Garrett P
Advisor dc:contributor.advisor
  • Lodovica Illari.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/114345
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/114345

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
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citation

Marino, Garrett P. Precursors to atmospheric blocking events. Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/114345