question correlations conclusions · scale-dependent relationships between u.s. temperatures and...

Scale-dependent relationships between U.S. temperatures and teleconnections Carl Schreck 1 , Jared Rennie 1 , Lance Watkins 2,3 , Kelly Dobeck 2,4 , and Derek Podowitz 2,5 1 Cooperative Institute for Climate and Satellites – North Carolina (CICS-NC), 2 NASA/NOAA DEVELOP, 3 Arizona State University, 4 University of North Carolina Asheville, 5 Fleet Numerical Meteorology and Oceanography Center 4 th MJO Symposium 10–14 January 2016, New Orleans, LA NOAA’s Climate Data Record Program Poster #851 [email protected] pdf of this poster Correlations Rankings Question Which teleconnections have the strongest association with U.S. temperatures at different time scales? Data & Methodology Temperature Data • GHCN-daily data aggregated to climate divisions and then to states • NCEI U.S. Normals used to produce daily anomalies Time Scales • 5-day running average (pentads) to eliminate day-to-day variability • 100-day lowpass filter identifies seasonal signals • 100-day highpass filter identifies subseasonal signals Teleconnections • EPO: East Pacific Oscillation • MVP: Multivariate Pacific North American (PNA) • AO: Arctic Oscillation • ONI: Oceanic Niño Index • RMM1/2: Real-time Multivariate Madden–Julian Oscillation (MJO) Conclusions • EPO dominates total and subseasonal • MVP/PNA is a major player at all time scales • AO is primarily low-frequency • MJO beats out AO at subseasonal scales

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Page 1: Question Correlations Conclusions · Scale-dependent relationships between U.S. temperatures and teleconnections Carl Schreck1, Jared Rennie1, Lance Watkins2,3, Kelly Dobeck2,4, and

Scale-dependentrelationshipsbetweenU.S.temperaturesandteleconnectionsCarlSchreck1,JaredRennie1,LanceWatkins2,3,KellyDobeck2,4,andDerekPodowitz2,5

1CooperativeInstituteforClimateandSatellites– NorthCarolina(CICS-NC), 2NASA/NOAADEVELOP,3ArizonaStateUniversity,4UniversityofNorthCarolinaAsheville,5FleetNumericalMeteorologyandOceanographyCenter

4th MJOSymposium10–14January2016,NewOrleans,LA

NOAA’sClimateDataRecordProgramPoster#851

[email protected] pdf ofthisposter

Correlations

Rankings

Question

WhichteleconnectionshavethestrongestassociationwithU.S.temperaturesatdifferenttimescales?

Data&Methodology

TemperatureData• GHCN-dailydataaggregatedtoclimatedivisions

andthentostates• NCEIU.S.Normals usedtoproducedaily

anomalies

TimeScales• 5-dayrunningaverage(pentads)toeliminate

day-to-dayvariability• 100-daylowpass filteridentifiesseasonalsignals• 100-dayhighpass filteridentifiessubseasonal

signals

Teleconnections• EPO:EastPacificOscillation• MVP:MultivariatePacificNorthAmerican(PNA)• AO: ArcticOscillation• ONI:OceanicNiñoIndex• RMM1/2:Real-timeMultivariateMadden–Julian

Oscillation(MJO)

Conclusions

• EPOdominatestotalandsubseasonal

• MVP/PNAisamajorplayeratalltimescales

• AOisprimarilylow-frequency

• MJObeatsoutAOatsubseasonal scales

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