Nonlinear and Stochastic Problems in Atmospheric and Oceanic Prediction
Videos from BIRS Workshop
Timothy Delsole, George Mason U.
Monday Nov 20, 2017 09:05 - 09:37
Understanding the role of ocean dynamics in multi-year predictability
Entcho Demirov, Memorial University
Monday Nov 20, 2017 09:38 - 10:10
North Atlantic atmospheric and ocean decadal climate variability – dominant patterns and abrupt climate shifts
Adam Monahan, University of Victoria
Monday Nov 20, 2017 10:41 - 11:16
Enhancement of sea surface wind skewness by filtering
Shaoqing Zhang, Ocean University of China
Tuesday Nov 21, 2017 09:01 - 09:34
A high efficiency approximation of EnKF for coupled model data assimilation
Nan Chen, New York University
Tuesday Nov 21, 2017 09:35 - 10:15
A conditional Gaussian framework for data assimilation and prediction of nonlinear turbulent dynamical systems
Fei Lu, Johns Hopkins University
Tuesday Nov 21, 2017 10:36 - 11:07
Data assimilation with stochastic model reduction
Sam Pimentel, Trinity Western University
Tuesday Nov 21, 2017 11:07 - 11:38
The challenge of diurnal sea surface temperatures
Youmin Tang, University of Northern British Columbia
Tuesday Nov 21, 2017 13:31 - 14:03
Progress towards improving seasonal climate prediction by mathematical methods
Siraj ul Islam, University of Northern British Columbia
Tuesday Nov 21, 2017 14:53 - 15:05
Optimum initialization of South Asian seasonal forecast using climatological relevant singular vectors
Chun-Hsiung Hsia, National Taiwan University
Tuesday Nov 21, 2017 15:32 - 16:05
On the long time stability of a temporal discretization scheme for the three dimensional primitive equations
Xiaoming Wang, Florida State Uni. & Fudan Uni.
Tuesday Nov 21, 2017 16:06 - 16:46
Numerical scheme for long-time statistical properties of large turbulent systems
Wansuo Duan, Chinese Academy of Sciences
Thursday Nov 23, 2017 08:59 - 09:33
Target observations for improving initializations for two types of El Nino events predictions
Fei Zheng, Chinese Academy of Sciences
Thursday Nov 23, 2017 09:34 - 10:05
Effects of stochastic model error on improving ENSO prediction skills
Ting Liu, Second Institute of Oceanography
Thursday Nov 23, 2017 10:30 - 10:53
ENSO ensemble prediction for the past 161 years from 1856-2016
Aneesh Subramanian, University of California, San Diego
Thursday Nov 23, 2017 10:55 - 11:35
Exploring stochastic and multi-scale modeling approaches for a seamless prediction system
Ruiqiang Ding, Institute of Atmospheric Physics, Chinese Academy of Sciences
Thursday Nov 23, 2017 13:36 - 13:54
Nonlinear local lyapunov vectors and their applications to ensemble predictions
Guodong Sun, Chinese Academy of Sciences
Thursday Nov 23, 2017 14:28 - 14:58
Uncertainties and sensitivities analysis for the soil moisture due to model parameter errors
Yiwen Mao, University of Victoria
Thursday Nov 23, 2017 15:27 - 15:58
Statistical predictability of surface wind components
