Tropical- extratropical teleconnec/ons on subseasonal /me scale
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1 Tropical- extratropical teleconnec/ons on subseasonal /me scale Hai Lin Environment and Climate Change Canada Pan- WCRP Modelling mee6ng, Met Office, Exeter, Oct 9-13,2017
2 Outline Introduc6on MJO influence on the extratropics Impact on S2S predic6ons YTMIT
3 Introduc/on Long history ( e.g., Riehl 1950, Bjerknes 1966, 1969) Teleconnec6ons on different 6me scales (subseasonal, interannual and decadal) Response to tropical thermal forcing (classical dynamics) Rossby wave source (Sardeshmukh and Hoskins 1998) Wave propaga6on (e.g., Hoskins and Karoly 1981) Instability (Simmons et al, 1983; Frederiksen 1982) preferred loca6ons Feedback from transient eddies.
4 posites of tropical ipitation rate for 8 MJO es, according to Wheeler Hendon index. nd Arkin pentad data, -2003
5 agged probability of the NAO index osi/ve: upper tercile; Nega/ve: low tercile Phase Lag 0 +45% 42% Lag % +45% 46% Lag % +50% +42% 41% 41% 42% Lag % 41% 48% Lag +4 39% 48% Lag +5 41% et al. JCLIM, 2009)
6 ropical influence et al. JCLIM, 2009)
7 Correlation when PC2 leads PC1 by 2 pentads: 0.66
8 Thermal forcing Exp1 forcing Exp2 forcing l. (2010)
9 Z500 response Exp1 Exp2 l. (2010)
10 Day 10 Z500 linear response 80E Similar pattern for heating E 110E 150E Similar pattern for heating W et al. MWR, 2010
11 Nonlinearity Observa6on Simple model simula6on and Brunet, JAS in press
12 Sensi/vity to ini/al state Eastward phase shi\ Similar to mean response and Brunet, JAS in press
13 Composites of Z500 3rd pentads a\er an MJO in Phase 3 NDJFM EI 0.48 NAO Index: mean=0, std=1.02 BoM 0.15 CMA 0.14 HMCR 0.13 NCEP 0.32 ISAC 0.25 CNRM 0.15 UKMO 0.28 JMA 0.22 ECCC 0.21 ECMWF 0.31 itart
14 itart
15 hindcast data NAO forecast skill when the ini6al condi6on is in MJO phase 2367 (dashed) compared with MJO phases 1458 (solid).
16 Predic=o Year of Tropics- Midla=tude Interac=ons and Teleconnec=ons YTM mid m r rstand redict easonal cal- tropical ac6on ways Satellite Products Mechanis6c Experiments & Diagnos6cs Mechanisms Tropical- Midla=tude Interac=ons Predic6on Centers Virtual Field Campaig Reanalysis Products S2S DB & NMME Subseaso
17 Year of Tropics-Midlatitude Interactions & Teleconnections YTMIT Scien/fic Steering CommiLee Co- Chairs: Cris6ana Stan (GMU), Hai Lin (EC Canada), Members: Jorgen Frederiksen (CSIRO), Eric Maloney (CSU), Courtney Schumacher (TAMU), David Straus (GMU) Subseasonal- to- Seasonal Predic=on Project
18 r rstand redict easonal cal- tropical ac6on ways Year of Tropics- Midla=tude Interac=ons and Teleconnec=ons Descrip6on Intense coordinated effort involving exis6ng observa6onal data, forecasts and applica6ons, diagnos6cs, theory and modeling experiments Mission Foster rela6onship between research, forecas6ng, and stakeholder communi6es, and facilitate the sharing of common interests to explore the links between the tropics and midla6tudes for a beher predic6on skill at intraseasonal 6me scales Research Ques6ons Are mid- la6tude teleconnec6ons from the fluctua6ng tropical hea6ng fundamentally just 6me- lagged sta6onary wave responses to hea6ng, or does 6me- dependent wave interface play a role? Why are the North Atlan6c weather regimes so influenced by MJO- related hea6ng in the distant Indian and Pacific Oceans? What is the role of synop6c- scale transients? Is the impact of extra- tropical forcing associated primarily with the ini6a6on of tropical convec6on, or can it organize tropical convec6on of intraseasonal 6me scale? What is the role of PV streamers? YTM mid m Virtual Field Campaig Subseaso Predic=o
19 Year of Tropics-Midlatitude Interactions & Teleconnections Whitepaper Projects Classifica6on of AR events on the U.S. West Coast YTMIT- CalWater2015 U.S. department of Energy Model for Predic6on Across Scales (MPAS) tropical source YTMIT-CalWater2015 Atmospheric Rivers and their Teleconnections tropical + extra- tropical source Super- Parameteriza6on L. Ruby Leung PNNL Cristiana Stan GMU tropical + extra- tropical source Ryoo et al. (2015) Par6cipa6on from other modeling gro
20 Year of Tropics-Midlatitude Interactions & Teleconnections Projects Advanced Diagnos6cs for Tropical- Midla6tude Interac6 6ana Stan (GMU), Laura Ciasto (CPC), Dan Harnos (CPC), Venkat Krishnamurthy (GMU), Michelle L Heureux (CPC), Er oney, (CSU), David Straus (GMU) Stan and Krishnamurthy, 2017 Stan and Krishnamurthy, 2017 Next Generation Global Prediction System (NGGPS) Modeling, Analysis, Predictions, and Projections (M
21 Year of Tropics-Midlatitude Interactions & Teleconnections Projects Advanced Diagnos6cs for Tropical- Midla6tude Interac6 6ana Stan (GMU), Laura Ciasto (CPC), Dan Harnos (CPC), Venkat Krishnamurthy (GMU), Michelle L Heureux (CPC), Er oney, (CSU), David Straus (GMU) PNA propagates Fast MJO propaga=on, development of PNA along great circle route into the Atlan=c Slow MJO North Pacific response Arc=c Oscilla=on NAO+ Day 0 Day 5 Day 10 Arc6c Oscilla6on Develops Day 5 Day 10 Day 15 Results from ERA- Interim Reanalysis Yadav and Straus, 2016 Next Generation Global Prediction System (NGGPS) Modeling, Analysis, Predictions, and Projections (M
22 Year of Tropics-Midlatitude Interactions & Teleconnections Projects The influence of stratospheric biases on the tropospheric S2S forecast skill Explore the poten6al of improved representa6on of stratosphere on the S2S predic6on skill of an experimental version of the NAVy Global Environmental Model (NAVGEM) analysis and forecast systems. Son et al., 2017 The Naval Research Laboratory John McCormack (NRL) and Cristiana Stan (GMU)
23 Year of Tropics-Midlatitude Interactions & Teleconnections Other Ac6vi6es lica=ons Special issue on YTMIT in the Atmosphere- Ocean, manuscripts accepted through May, For submission instruc6ons, please visit hhp://cmos.ca/site/ao. The special issue can be selected from the drop- down list of the submission process. ining Ac=vi=es Prac6cal ac6vi6es on the use of S2S Database and diagnosing teleconnec6ons in sub- seasonal forecasts using the IRI Data Library
24 Year of Tropics-Midlatitude Interactions & Teleconnections Other Ac6vi6es erical Experiments elaxa6on type experiments designed to understand the upper bound of predictability iven perfect tropical forcing, i. e., nudging the tropical atmosphere toward analysis elaxa6on type experiments designed to understand the role of extra- tropical mean tate on the teleconnec6on forecast skill udging experiments with idealized profiles of diaba6c hea6ng in the tropics. If you are interested in contribu6ng to these experiments, please contact Cris6ana Stan,
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