Session 1: Hydrological Remote Sensing

KEYNOTES:
Remote sensing Earth's coupled systems: terrestrial, atmospheric and oceanic observation --Matthew McCabe
TBA --Robert Gurney

CONTRIBUTED:

• Exploitation of the NAFE/05 campaign for cal/val activities of the SMOS mission -- Gilles Boulet
• An evaluation of AMSR-E soil moisture retrievals over Australia --Clara Draper
• AMSR-E Surface Temperature Retrievals: the Potential for LSM Data Assimilation -- Ben Gouweleeuw
• Towards improved local analysis of the soil moisture in Catchment scale with the ensemble Kalman filter and the geostatistics -- Xujun Han
• WindSat Passive Microwave Soil Moisture Retrievals --Thomas Jackson
• Improve the Active Layer Dynamics Estimation by Assimilating the SSM/I Brightness Temperature --Rui Jin
• SMOS retrieval Algorithm: Trials and tribulations --Yann Kerr
• WindSat Soil Moisture Algorithm Performance and Risk Reduction for the NPOESS Microwave Imager/Sounder --Li Li
• Measurement Accuracy Versus Observation Scale In A Multi-Resolution Data Assimilation Framework --Olivier Merlin
• One year of ASCAT soil moisture data --Vahid Naeimi
• Multi-scale data assimilation of multi-sensor/multi-satellite remote sensing products over the Mississippi River basin --Ming Pan
• Multi-resolution soil moisture retrieval from passive microwave sensors: A preliminary study --Rocco Panciera
• Assimilation of GRACE Derived Terrestrial Water Storage Data --Matthew Rodell
• Soil Moisture Observations from Space - An Analysis of Existing Data Sets --Christoph Rudiger
• Evaluation of the potential of scatterometer observed soil moisture for improving numerical weather prediction: First results from the ECMWF Integrated Forecast System --Klaus Scipal
• Assimilation of ENVISAT ASAR data and soil moisture profile measurements in a distributed hydrologic model --Melanie Trudel
• On the use of satellite-derived soil moisture for improving operational flood forecasting: A case study for the river Rhine --Albrecht Weerts

Session 2: Short-Term Prediction

KEYNOTES:
Multi-sensor model-data assimilation for improved hydrologic forecasting --Damian Barrett
Terrestrial Water Storage in NWP: Are we gaining a better understanding? --Gianpaolo Balsamo

CONTRIBUTED:

• Advancing Quantitative Precipitation Forecasting by means of Data Assimilation --Emmanouil Anagnostou
  
• Assimilation of EO data in land surface models: interactions between water and carbon cycles --Jean-Christophe Calvet
• Ensemble Kalman Filter vs. Newtonian Nudging for a Coupled Model of Surface and Subsurface Flow: a Comparison of Data Assimilation Approaches --Matteo Camporese
• Assimilation of multi-scale data for prediction of land management change effects on flooding --Bethanna Jackson
• The Stochastic Filter for Asymmetrically Distributed Streamflow --Vadim Kuzmin
• Assimilating land surface skin temperature into an energy balance model for estimating surface evapotranspiration --Shunlin Liang
• Today’s Japan: A system of flood risk estimation in real time --Taikan Oki
• Evaluation of a Multistart Kalman Filter Based Method for Model Parameter Estimation --Valentijn Pauwels
• One-Dimensional Field Data Assimilation into a Land Surface Model for Improved Heat Flux Estimates --Robert Pipunic
• Joint assimilation of surface soil moisture and LAI observations with a simplified 1D-VAR assimilation scheme --Joaquin Sabater
• Value of ECMWF ensemble rainfall forecasts for forecasting catchment spatially distributed soil moisture --J.M. Schuurmans
• A Model Conditional Processor (MCP) for Assessing Predictive Uncertainty in Flood Forecasting --Ezio Todini

Session 3: Seasonal Prediction

KEYNOTES:
Seasonal Predictability of Stream Flow in Relation to Seasonal Weather Predictability, Hydrological Response Time and Data-assimilation --Marc Bierkens
Advances in Hydrologic Prediction in the Western U.S. --Dennis Lettenmaier

CONTRIBUTED:

• Continental Water Dynamics Modeling --Cedric David
• A New Atmosphere-Land Initialisation (ALI) Scheme for POAMA, the Australian Bureau of Meteorology’s Seasonal Forecast System --Debbie Hudson
• Utilising relationships between large scale climate variability and regional synoptic patterns to forecast Victorian streamflow --Anthony Kiem
• Monitoring and Prediction of the 2007 U.S. Drought --Lifeng Luo
• Improving Seasonal Hydrologic Prediction at NCEP via Land Surface Modeling and Assimilation Advancements and Collaborations in Coupled and Uncoupled Prediction Systems in the Climate Prediction Project for the Americas (CPPA) --Kenneth Mitchell
• Application of Ensemble Kalman Filter to Gudgenby River --Sri Srikanthan
• Modeling Sub-surface Routing Dynamics in the Community Noah-distributed Land Surface Model --Peter Troch
• Soil control on land-atmosphere feedback in Europe --Bart Van Den Hurk
• Physical Basis for Randomness of Annual Flows in Ephemeral Streams --Floris Van Ogtrop
• Numerical forecasting of drought impact on wheat yield by combining remote sensing, agrohydrological models and data assimilation --Majid Vazifedoust

Session 4: Modelling and Reanalysis

KEYNOTES:
Climate-Modelling and Reanalysis Applications in the Context of Land-Climate Interactions --Sonia Seneviratne
TBA--Andy Pitman

CONTRIBUTED:

• Historical Simulations of Land Surface Conditions and Their Applications to Analyses of Decadal Hydrological Changes --Aiguo Dai
  
• Data assimilation in earth system model development --Ian Enting
• Impacts of Climate Change on Long-term Global Water Balance --Hyungjun Kim
• A velocity method for global river routing scheme --Thanh Ngo-Duc
• Improved modelling of land-radiation interactions for the Joint UK Land Environment Simulator (JULES) --Peter North
• The Effect of Soil Datasets on Offline CABLE Soil Moisture Simulations in the Murray Darling Basin --Adam Smith
• Evapotranspiration and soil moisture in a generalized land surface scheme: impact of soil parameters and forcing --Ryan Teuling

Session 5: Hydrologic Prediction

KEYNOTES:
Challenges in River Flow forecasting --Zoltan Toth
On the use of hydrological data assimilation to improve forecasts of streamflow --Ross Woods

CONTRIBUTED:

• Multi-sensor and multi-scale data assimilation of remotely sensed snow observations --Konstantinos Andreadis
• Model Structure Identification and Correction through Data Assimilation --Nataliya Bulygina
• Modeling the impact of urban areas on precipitation --Omidiora Busayo
• Meteorological and Remotely Sensed Datasets for Hydrological Modelling: A Contribution to the Australian Water Availability Project --Ian Grant
• Retrieving soil temperature profile by assimilating MODIS LST products with ensemble Kalman filter --Chunlin Huan
• Addressing soil moisture model error using adaptive ensemble Kalman filtering --Gabrielle De Lannoy
• Chinese Land Data Assimilation System --Xin Li
• New developments for hydrological lumped models which preserve physically meaningful properties and parameters --Mario Martina
• Toward Improved Hydrologic Prediction and Characterization of Model Uncertainties: Blending the Strength of Data Assimilation and Bayesian Multimodel Combination --Hamid Moradkhani
• Incorporating Remotely Sensed Data into new Hydrologic Models to improve Prediction in Ungauged Basins (PUB) --David Post
• Inferring Spatiotemporal Soil Moisture Anisotropy at the Catchment Scale --Tomas Thierfelder
• Model-data fusion in the Australian Water Availability Project --Cathy Trudinger
• Application of generic data assimilation tools (DATools) for flood forecasting: A case study for the Rhine --Albrecht Weerts