- 92 Views
- Uploaded on
- Presentation posted in: General

Lawrence C. Gloeckler and Dr. Paul E. Roundy

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.

- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

Modulation of the Extratropical Circulation by Combined Activity of the Madden–Julian Oscillation and Equatorial Rossby Waves

Lawrence C. Gloeckler and Dr. Paul E. Roundy

Department of Atmospheric and Environmental Sciences, The University at Albany – SUNY

DAES Undergraduate Thesis Presentation

2 May 2011

Albany, NY

MJO Convection

Equatorial Rossby Waves

Extratropical Rossby Waves

MJO Circulation

MJO

200-hPa streamfunction (contoured every 10 × 105 m2 s−1), total wind (vectors in m s−1), and MJO-filtered Outgoing Longwave Radiation (OLR) anomaly (shaded < −16 W m−2).

Adapted from Fig. 2b of Kiladis et al. (2005).

H

MJO

H

200-hPa streamfunction (contoured every 10 × 105 m2 s−1), total wind (vectors in m s−1), and MJO-filtered Outgoing Longwave Radiation (OLR) anomaly (shaded < −16 W m−2).

Adapted from Fig. 2b of Kiladis et al. (2005).

H

L

MJO

L

H

300-hPa streamfunction (contoured every 10 × 105 m2 s−1), total wind (vectors in m s−1), and MJO-filtered Outgoing Longwave Radiation (OLR) anomaly (shaded < −16 W m−2).

Adapted from Fig. 2b of Kiladis et al. (2005).

MJO

EQ

300-hPa

H

MJO

EQ

H

300-hPa

L

H

MJO

EQ

H

L

300-hPa

H

L

H

MJO

EQ

H

H

L

300-hPa

H

L

H

Background Flow

MJO

EQ

Background Flow

H

H

L

300-hPa

H

L

H

L

MJO

EQ

L

H

H

L

300-hPa

H

L

H

L

MJO

EQ

L

H

H

L

300-hPa

Analyzed satellite-derived OLR data and NCEP—NCAR 40-year reanalysis data pertaining to 300-hPa geopotential height and wind anomalies

Identified set of dates during NH winter (1 Nov–31 Mar) when MJO was located over Maritime Continent

Position over Maritime Continent consistent with RMM Phase 4

Identified longitude where ER wave crossing occurred most frequently for RMM Phase 4

Developed set of dates in which ER waves crossed identified longitude

RMM Phase 4

OLR (shaded between 7.5°S and 7.5°N; W m-2) and 300-hPa geopotential height anomaly (contoured between 40°N and 50°N; red=positive, blue=negative)

RMM Phase 4

OLR (shaded between 7.5°S and 7.5°N; W m-2) and 300-hPa geopotential height anomaly (contoured between 40°N and 50°N; red=positive, blue=negative)

RMM Phase 4

OLR (shaded between 7.5°S and 7.5°N; W m-2) and 300-hPa geopotential height anomaly (contoured between 40°N and 50°N; red=positive, blue=negative)

RMM Phase 4, ER Base Lon 155E

RMM Phase 4, ER Base Lon 155E

RMM Phase 4, ER Base Lon 155E

RMM Phase 4, ER Base Lon 155E

RMM Phase 4, ER Base Lon 155E

RMM Phase 4, ER Base Lon 155E

RMM Phase 4, ER Base Lon 155E

RMM Phase 4, ER Base Lon 155E

RMM Phase 4, ER Base Lon 155E

RMM Phase 4, ER Base Lon 155E

RMM Phase 4, ER Base Lon 155E

RMM Phase 4, ER Base Lon 155E

RMM Phase 4, ER Base Lon 155E

RMM Phase 4

RMM Phase 4, ER Base Lon 155E

- Randomly selected a list of dates associated with RMM phase 4 equal to number of ER wave events counted at identified base point
- Developed composite MJO with same number of degrees of freedom associated with combined composite

- Generated composite for random dates and repeated 1,000 times
- Compared composite result to composite generated by randomly selecting ER wave events during RMM phase 4

- Determined mean amplitude of random MJO composite is approximately one half mean amplitude of simultaneous composite between 40°N and 50°N
- Two distributions demonstrated mean amplitude differences significantly larger than zero at 95% confidence level

OLR, 300-hPa Height and Wind Anomaly, Lag = –5 days, RMM Phase 4

Positive 300-hPa height anomaly (20 dam intervals)

Negative 300-hPa height anomaly (20 dam intervals)

u/v wind anomaly (magnitude exceeding ± 2 m s-1)

OLR, 300-hPa Height and Wind Anomaly, Lag = –4 days, RMM Phase 4

Positive 300-hPa height anomaly (20 dam intervals)

Negative 300-hPa height anomaly (20 dam intervals)

u/v wind anomaly (magnitude exceeding ± 2 m s-1)

OLR, 300-hPa Height and Wind Anomaly, Lag = –3 days, RMM Phase 4

Positive 300-hPa height anomaly (20 dam intervals)

Negative 300-hPa height anomaly (20 dam intervals)

u/v wind anomaly (magnitude exceeding ± 2 m s-1)

OLR, 300-hPa Height and Wind Anomaly, Lag = –2 days, RMM Phase 4

Positive 300-hPa height anomaly (20 dam intervals)

Negative 300-hPa height anomaly (20 dam intervals)

u/v wind anomaly (magnitude exceeding ± 2 m s-1)

OLR, 300-hPa Height and Wind Anomaly, Lag = –1 day, RMM Phase 4

Positive 300-hPa height anomaly (20 dam intervals)

Negative 300-hPa height anomaly (20 dam intervals)

u/v wind anomaly (magnitude exceeding ± 2 m s-1)

OLR, 300-hPa Height and Wind Anomaly, Lag = 0 days, RMM Phase 4

Positive 300-hPa height anomaly (20 dam intervals)

Negative 300-hPa height anomaly (20 dam intervals)

u/v wind anomaly (magnitude exceeding ± 2 m s-1)

OLR, 300-hPa Height and Wind Anomaly, Lag = 1 day, RMM Phase 4

OLR, 300-hPa Height and Wind Anomaly, Lag = 1 days, RMM Phase 4

Positive 300-hPa height anomaly (20 dam intervals)

Negative 300-hPa height anomaly (20 dam intervals)

u/v wind anomaly (magnitude exceeding ± 2 m s-1)

OLR, 300-hPa Height and Wind Anomaly, Lag = 2 days, RMM Phase 4

Positive 300-hPa height anomaly (20 dam intervals)

Negative 300-hPa height anomaly (20 dam intervals)

u/v wind anomaly (magnitude exceeding ± 2 m s-1)

OLR, 300-hPa Height and Wind Anomaly, Lag = 3 days, RMM Phase 4

Positive 300-hPa height anomaly (20 dam intervals)

Negative 300-hPa height anomaly (20 dam intervals)

u/v wind anomaly (magnitude exceeding ± 2 m s-1)

OLR, 300-hPa Height and Wind Anomaly, Lag = 4 days, RMM Phase 4

Positive 300-hPa height anomaly (20 dam intervals)

Negative 300-hPa height anomaly (20 dam intervals)

u/v wind anomaly (magnitude exceeding ± 2 m s-1)

OLR, 300-hPa Height and Wind Anomaly, Lag = 5 days, RMM Phase 4

Positive 300-hPa height anomaly (20 dam intervals)

Negative 300-hPa height anomaly (20 dam intervals)

u/v wind anomaly (magnitude exceeding ± 2 m s-1)

OLR, 300-hPa Height and Wind Anomaly, Lag = –5 days, ER Base Lon 155E

Positive 300-hPa height anomaly (20 dam intervals)

Negative 300-hPa height anomaly (20 dam intervals)

u/v wind anomaly (magnitude exceeding ± 1 m s-1)

OLR, 300-hPa Height and Wind Anomaly, Lag = –5 days, ER Base Lon 155E

Positive 300-hPa height anomaly (20 dam intervals)

Negative 300-hPa height anomaly (20 dam intervals)

u/v wind anomaly (magnitude exceeding ± 1 m s-1)

OLR, 300-hPa Height and Wind Anomaly, Lag = –5 days, ER Base Lon 155E

Positive 300-hPa height anomaly (20 dam intervals)

Negative 300-hPa height anomaly (20 dam intervals)

u/v wind anomaly (magnitude exceeding ± 1 m s-1)

OLR, 300-hPa Height and Wind Anomaly, Lag = –4 days, ER Base Lon 155E

Positive 300-hPa height anomaly (20 dam intervals)

Negative 300-hPa height anomaly (20 dam intervals)

u/v wind anomaly (magnitude exceeding ± 1 m s-1)

OLR, 300-hPa Height and Wind Anomaly, Lag = –3 days, ER Base Lon 155E

Positive 300-hPa height anomaly (20 dam intervals)

Negative 300-hPa height anomaly (20 dam intervals)

u/v wind anomaly (magnitude exceeding ± 1 m s-1)

OLR, 300-hPa Height and Wind Anomaly, Lag = –2 days, ER Base Lon 155E

Positive 300-hPa height anomaly (20 dam intervals)

Negative 300-hPa height anomaly (20 dam intervals)

u/v wind anomaly (magnitude exceeding ± 1 m s-1)

OLR, 300-hPa Height and Wind Anomaly, Lag = –1 day, ER Base Lon 155E

Positive 300-hPa height anomaly (20 dam intervals)

Negative 300-hPa height anomaly (20 dam intervals)

u/v wind anomaly (magnitude exceeding ± 1 m s-1)

OLR, 300-hPa Height and Wind Anomaly, Lag = 0 days, ER Base Lon 155E

Positive 300-hPa height anomaly (20 dam intervals)

Negative 300-hPa height anomaly (20 dam intervals)

u/v wind anomaly (magnitude exceeding ± 1 m s-1)

OLR, 300-hPa Height and Wind Anomaly, Lag = 1 day, ER Base Lon 155E

Positive 300-hPa height anomaly (20 dam intervals)

Negative 300-hPa height anomaly (20 dam intervals)

u/v wind anomaly (magnitude exceeding ± 1 m s-1)

OLR, 300-hPa Height and Wind Anomaly, Lag = 2 days, ER Base Lon 155E

Positive 300-hPa height anomaly (20 dam intervals)

Negative 300-hPa height anomaly (20 dam intervals)

u/v wind anomaly (magnitude exceeding ± 1 m s-1)

OLR, 300-hPa Height and Wind Anomaly, Lag = 3 days, ER Base Lon 155E

Positive 300-hPa height anomaly (20 dam intervals)

Negative 300-hPa height anomaly (20 dam intervals)

u/v wind anomaly (magnitude exceeding ± 1 m s-1)

OLR, 300-hPa Height and Wind Anomaly, Lag = 4 days, ER Base Lon 155E

Positive 300-hPa height anomaly (20 dam intervals)

Negative 300-hPa height anomaly (20 dam intervals)

u/v wind anomaly (magnitude exceeding ± 1 m s-1)

OLR, 300-hPa Height and Wind Anomaly, Lag = 5 days, ER Base Lon 155E

Positive 300-hPa height anomaly (20 dam intervals)

Negative 300-hPa height anomaly (20 dam intervals)

u/v wind anomaly (magnitude exceeding ± 1 m s-1)

OLR, 300-hPa Height and Wind Anomaly, Lag = –5 days, RMM Phase 4, ER Base Lon 155E

Positive 300-hPa height anomaly (20 dam intervals)

Negative 300-hPa height anomaly (20 dam intervals)

u/v wind anomaly (magnitude exceeding ± 2 m s-1)

OLR, 300-hPa Height and Wind Anomaly, Lag = –4 days, RMM Phase 4, ER Base Lon 155E

Positive 300-hPa height anomaly (20 dam intervals)

Negative 300-hPa height anomaly (20 dam intervals)

u/v wind anomaly (magnitude exceeding ± 2 m s-1)

OLR, 300-hPa Height and Wind Anomaly, Lag = –3 days, RMM Phase 4, ER Base Lon 155E

Positive 300-hPa height anomaly (20 dam intervals)

Negative 300-hPa height anomaly (20 dam intervals)

u/v wind anomaly (magnitude exceeding ± 2 m s-1)

OLR, 300-hPa Height and Wind Anomaly, Lag = –2 days, RMM Phase 4, ER Base Lon 155E

Positive 300-hPa height anomaly (20 dam intervals)

Negative 300-hPa height anomaly (20 dam intervals)

u/v wind anomaly (magnitude exceeding ± 2 m s-1)

OLR, 300-hPa Height and Wind Anomaly, Lag = –1 day, RMM Phase 4, ER Base Lon 155E

Positive 300-hPa height anomaly (20 dam intervals)

Negative 300-hPa height anomaly (20 dam intervals)

u/v wind anomaly (magnitude exceeding ± 2 m s-1)

OLR, 300-hPa Height and Wind Anomaly, Lag = 0 days, RMM Phase 4, ER Base Lon 155E

Positive 300-hPa height anomaly (20 dam intervals)

Negative 300-hPa height anomaly (20 dam intervals)

u/v wind anomaly (magnitude exceeding ± 2 m s-1)

OLR, 300-hPa Height and Wind Anomaly, Lag = 1 day, RMM Phase 4, ER Base Lon 155E

Positive 300-hPa height anomaly (20 dam intervals)

Negative 300-hPa height anomaly (20 dam intervals)

u/v wind anomaly (magnitude exceeding ± 2 m s-1)

OLR, 300-hPa Height and Wind Anomaly, Lag = 2 days, RMM Phase 4, ER Base Lon 155E

Positive 300-hPa height anomaly (20 dam intervals)

Negative 300-hPa height anomaly (20 dam intervals)

u/v wind anomaly (magnitude exceeding ± 2 m s-1)

OLR, 300-hPa Height and Wind Anomaly, Lag = 3 days, RMM Phase 4, ER Base Lon 155E

Positive 300-hPa height anomaly (20 dam intervals)

Negative 300-hPa height anomaly (20 dam intervals)

u/v wind anomaly (magnitude exceeding ± 2 m s-1)

OLR, 300-hPa Height and Wind Anomaly, Lag = 4 days, RMM Phase 4, ER Base Lon 155E

Positive 300-hPa height anomaly (20 dam intervals)

Negative 300-hPa height anomaly (20 dam intervals)

u/v wind anomaly (magnitude exceeding ± 2 m s-1)

OLR, 300-hPa Height and Wind Anomaly, Lag = 5 days, RMM Phase 4, ER Base Lon 155E

Positive 300-hPa height anomaly (20 dam intervals)

Negative 300-hPa height anomaly (20 dam intervals)

u/v wind anomaly (magnitude exceeding ± 2 m s-1)

MJO Convection

Equatorial Rossby Waves

Extratropical Rossby Waves

- Simultaneous assessment of MJO and ER wave events yields more information about extratropical circulation than can be obtained from either field alone, or from simple linear combination of two fields
- ER wave state during particular MJO phase might yield better empirical prediction of following global atmospheric circulation

- A special thank you to:
- Dr. Paul Roundy for lending his time and expertise to helping me develop and analyze my research problem
- Kyle MacRitchie for allowing me to use several of his MATLAB scripts, and for helping me understand the many facets of MATLAB

- Lawrence C. Gloeckler
Department of Atmospheric and Environmental Sciences

University at Albany – SUNY

email: [email protected]

QUESTIONS?