P# |
Author |
Title (Link to presentation if available) |
|
D-p01 |
Santha Akella |
Assimilation for Sea Surface Skin Temperature in GEOS-DAS
|
abstract |
D-p02 |
Alberto Carrassi |
On the Problem of Initializing Climate Prediction
|
abstract |
D-p03 |
Mohamad El Gharamti |
Dual States Estimation of Subsurface Flow-Transport Coupled Model using Ensemble Kalman Filtering
|
abstract |
D-p04 |
Sergey Frolov |
Development of strongly coupled atmosphere-ocean data assimilation scheme at the U.S. Naval Research Laboratory
|
abstract |
D-p05 |
Kosuke Ito |
Development of a meso 4D-Var data assimilation system using a coupled atmosphere-ocean model for typhoon intensity prediction
|
abstract |
D-p06 |
Hiroshi Koyama |
Assimilation of Surface Observations Using an Atmosphere-ocean Coupled EnKF
|
abstract |
D-p07 |
Xu Li |
Improved Oceanic Component within the NCEP GFS
|
abstract |
D-p08 |
Tomoko Matsuo |
Upper Atmospheric Data Assimilation with an Ensemble Kalman Filter
|
abstract |
D-p09 |
Jesse Meng |
Implementation of GLDAS in the NCEP Operational Global Climate and Weather Forecast Systems
|
abstract |
D-p11 |
Saroja Polavarapu |
An Ensemble Kalman Smoother for the Coupled Greenhouse Gas and Flux estimation problem: Design of the Environment Canada Carbon Assimilation System
|
abstract |
D-p12 |
Polly Smith |
Exploring Coupled 4D-Var Data Assimilation Using an Idealized Atmosphere-Ocean Model
|
abstract |
D-p13 |
Robert Tardif |
Exploring Strategies in Coupled Atmosphere-Ocean Data Assimilation with a Low-Order Climate Model and CMIP5 Data
|
abstract |
D-p14 |
Robin Wedd |
Ocean-Atmosphere Interactions in CMIP5 Coupled Model Decadal Data
|
abstract |
D-p15 |
Yonghong Yin |
A Coupled Ensemble Data Assimilation System for Seasonal Prediction in Australia
|
abstract |
D-p16 |
Fei Zheng |
Coupled assimilation of both atmospheric and oceanic observations for ENSO prediction using an intermediate coupled model
|
abstract |
D-p17 |
Milija Zupanski |
Forecast error covariance in a coupled Land-Atmosphere Ensemble Data Assimilation with NASA-Unified WRF model
|
abstract |