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Page 1: AAG Tampa 2014

José J. Hernández Ayala

PhD Student

Department of Geography

University of Florida

Page 2: AAG Tampa 2014

INTRODUCTION

• Teleconnection: is a recurring and persistent large scale pattern of

pressure, sea surface temperature or circulation anomalies that spans

vast geographical areas.

• Teleconnections influence:

• Jet stream patterns

• Jet stream location/ intensity

• Temperature

• Rainfall

• Storm development/tracks

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PROBLEM STATEMENT

• This study examines the relationship between rainfall and the (NAO), (AO)

and (ENSO) in the island of Puerto Rico.

Questions:

1. Which teleconnection exhibits the strongest relationship with

rainfall?

2. During what temporal scale (annual, dry season or wet

season) are the correlations statistically significant?

3. Is there a specific region of the island that exhibits stronger

correlations?

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HYPOTHESIS NAO AO SOI

• Above average precipitable water values are associated with the negative phase of each of the Teleconnections for the Caribbean region where Puerto Rico is

located.

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• Area: 9,104 km.sq

• Population: 3.7 million (Census 2010)

• Pop Density: 418/km.sq

Study Area

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RAINFALL OVER SPACE AND TIME

• Most of Puerto Rico precipitation is

orographic in nature.

• Wettest months are September and

October and the driest February and

March.

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DATA

• Monthly data for 30 weather stations (1960-2010) from the National Climate

Data Center (NCDC).

• Annual, dry season (Dec-April) and wet season (May-Nov) rain was calculated.

• Teleconnections indexes were obtained from the Climate Prediction Center

(CPC).

NAO Index (daily 500mb height anomalies over the Northern Hemisphere)

AO Index (daily 1000mb height anomalies poleward of 20°N)

SOI Index (Stand Tahiti - Stand Darwin) Sea Level Press Anomaly

• Annual, dry season and wet season means of the indexes were calculated.

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METHODS

• The annual, dry season, and wet season rainfall (Log 10) for all stations were regressed with their correspondent NAO, AO and SOI (Z scores) indexes.

• A factor analysis regionalization was employed in order to group and reduce the number of stations to only a few factors in order to capture regional patterns (Carter and Elsner, 1996).

• The annual, dry season and wet season rainfall factors (regions) were regressed with their respective NAO, AO and ENSO indexes.

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REGRESSION RESULTS ANNUAL

• AR/NAO - significant correlations (.05 or less) in the northern and central mountain stations.

• AR/AO - the strongest correlations (.05 or less) in almost all regions of the island.

• AR/ENSO – no significant correlations, however positive correlations were present.

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REGRESSION RESULTS DRY SEASON

• DSR/NAO - exhibits significant correlations (.05 or less) in two of the northern stations.

• DSR/AO -the strongest correlations (.05 or less) in the northwest region of the island.

• DSR/ENSO - did not show any statistically significant correlations.

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REGRESSION RESULTS WET SEASON

• WSR/NAO - only one station in the central mountains with positive correlations.

• WSR/AO - shows two stations in the central mountains with significant negative correlations.

• WSR/ENSO - only one station in the central mountains with positive correlations.

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FACTOR ANALYSIS REGIONALIZATION ANNUAL

• F4 (Northwest/Central) significant with NAO (-.336)

• F6 (Northwest) significant with NAO (-.271)

• F4 (Northwest/Central) correlations with AO (-.483)

• F5 (Central West Region) significant with ENSO (.310)

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FACTOR REGIONALIZATION DRY SEASON AND WET SEASON

• F3 (Northwest) significant

correlations with NAO (-.333).

• F3(Northwest) significant

correlations with AO (-.396).

• No correlations with wet season rainfall regions and the

teleconnections.

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CONCLUSIONS• AR/ teleconnections - negative correlations for both NAO and AO.

• The strongest correlations were found with AO in almost all of Puerto Rico.

• DSR/ teleconnections - strongest correlations in the northwest region of the island.

• Mainly with AO and NAO, again the AO with the strongest correlations.

• WSR/ teleconnections - three stations with significant correlations, 1 positive with NAO, 2 negative with AO and 1 positive with ENSO.

• All three of them in the central mountains region.

• Factor Analysis Regionalization/Regression - northwest and central mountain regions to be negatively correlated with NAO and AO for both the annual and dry season rainfall.

• ENSO only exhibited significant correlations with one factor located in the central mountains for annual rainfall.

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RESEARCH LIMITATIONS

• Limited to annual, dry season and wet season rainfall.

• Correlations with the teleconnections, how to separate NAO signal from AO or ENSO?

• Other teleconnections not considered? AMO?

• Local factors?

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QUESTIONS?

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