Posters

CL2.10
ENSO: Dynamics, Predictability and Modelling 

ENSO is the dominant source of interannual climate variability in the tropics and across the globe. Understanding ENSO's dynamics, predicting El Niño and La Niña, and anticipating changes in ENSO's characteristics and impacts are thus of vital importance for society. This session invites contributions regarding the dynamics of ENSO, including multi-scale interactions; low frequency, decadal and paleo ENSO variability; ENSO theory; ENSO diversity; ENSO impacts on climate, society and ecosystems; ENSO teleconnections; seasonal forecasting of ENSO; and climate change projections of ENSO. Studies aimed at understanding ENSO in models of a range of complexity are especially welcomed, including analysis of CMIP model intercomparisons.

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Co-organized as AS1.35/NP2.4/OS1.24
Convener: Dietmar Dommenget | Co-conveners: Antonietta Capotondi, Daniela Domeisen, Eric Guilyardi
Orals
| Tue, 09 Apr, 10:45–12:30
 
Room F2
Posters
| Attendance Tue, 09 Apr, 08:30–10:15
 
Hall X5

Attendance time: Tuesday, 9 April 2019, 08:30–10:15 | Hall X5

Chairperson: Dietmar Dommenget
X5.1 |
EGU2019-4000
Seasonal to interannual variability of observed temperatures in the equatorial Pacific
Angelo Rubino, Davide Zanchettin, and Francesco de Rovere
X5.2 |
EGU2019-526
ENSO complexity in event-to-event transitions
Jin-Yi Yu and Shih-Wei Fang
X5.3 |
EGU2019-2262
The influence of the El Niño Southern Oscillation on cool-season rainfall variability in southeastern Australia from a weather system perspective
Seraphine Hauser, Christian Grams, Shayne McGregor, Michael Reeder, and Julian Quinting
X5.4 |
EGU2019-8973
ENSO influence on Western Europe in summer: observational analysis and sensitivity experiments.
Maialen Martija-Diez, Belén Rodríguez-Fonseca, and Jorge López Parages
X5.5 |
EGU2019-3373
A new method, based on Offline Slab Ocean SST, to quantify the error compensation of ENSO atmospheric feedbacks in climate models
Tobias Bayr, Mojib Latif, Annika Drews, Joke Lübbecke, and Wonsun Park
X5.6 |
EGU2019-2676
Asymmetric responses to ENSO in the tropical Indian and Atlantic Oceans
Shan He, Jin-Yi Yu, Song Yang, and Shih-Wei Fang
X5.7 |
EGU2019-4783
A study of the effects of westerly wind bursts on ENSO based on CESM
Xiaoxiao Tan and Youmin Tang
X5.8 |
EGU2019-6785
The Roles of Tropical and Subtropical Wind Stress Anomalies in the El Niño Modoki onset
(withdrawn)
Xin Wang, Chengyang Guan, Rui-Xin Huang, Wei Tan, and Lei Wang
X5.9 |
EGU2019-11488
Simulated future changes in ENSO dynamics in the framework of the linear recharge oscillator model
Dietmar Dommenget and Asha Vijayeta
X5.10 |
EGU2019-9994
The warm water volume, a better predictor of La Niña than of El Niño
Yann Planton, Éric Guilyardi, Takeshi Izumo, Matthieu Lengaigne, and Jérôme Vialard
X5.11 |
EGU2019-1260
El Niño Predictability and The Western Pacific Heat Buildup
Desislava Petrova, Joan Ballester, Siem Jan Koopman, Simona Bordoni, Ben Cash, Markel García-Díez, and Xavier Rodó
X5.12 |
EGU2019-11728
| presentation
Prediction of seasonal variations in atmospheric moisture fluxes by the CSIRO Climate Analysis Forecast Ensemble system
Ian Watterson, Terry O'Kane, Matt Chamberlain, and Richard Matear
X5.13 |
EGU2019-18421
Effect of the main predictors on the quality of ENSO forecasting over the last decades.
Irina Zheleznova, Daria Gushchina, and Maria Kolennikova
X5.14 |
EGU2019-9490
Climate Network based El Niño Forecasting
Josef Ludescher, Armin Bunde, and Hans Joachim Schellnhuber