Joint ECMWF/OceanPredict workshop on Advances in Ocean Data Assimilation


This page lists all poster files provided to ECMWF for this event.

Collocated Argo-Hyperspectral Infrared Satellite Measurements: An Idea
Santha Akella (NASA)
Coupling ocean & land processes at ECMWF: Differences and similarities and what can we learn from them?
Gianpaolo Balsamo (ECMWF)
Impacts of the assimilation of satellite sea surface temperature data on estimates of the volume and heat budgets of the North Sea
Wei Chen (Institute of Coastal Research, Helmholtz-Zentrum Geesthacht)
A scalable, weak formulation of the continuity constraint across domain boundaries for global ocean eddy-resolving applications
Andrea Cipollone (CMCC)
Assessing Impacts of Ensemble Kalman Filter (EnKF) on the Remo Ocean Data Assimilation System (RODAS) Over the South Western Atlantic
Filipe Bitencourt Costa (Oceanographic Modeling and Observation Network (REMO), Center for Research in Geophysics and Geology (CPGG), Federal University of Bahia (UFBA))
Multiscale FGAT data assimilation in OceanMAPS (v3.4) Forecasting System
Prasanth Divakaran (Bureau of Meteorology)
How well mesoscale eddies are represented in oceanic models?
Anass El Aouni (Inria)
Assimilating synthetic Biogeochemical-Argo data into a global ocean model to inform observing system design
David Ford (Met Office)
Leveraging Hessian Uncertainty Quantification to Design Ocean Climate Observing Systems
Patrick Heimbach (University of Texas at Austin)
Evaluation of the new Black Sea Reanalysis system
Leonardo Lima (Euro-Mediterranean Center on Climate Change)
Controlling Lateral Boundary Conditions of a Regional Ocean Model by an Approximate Kalman Filter
Tianran Liu (Research Institute for Applied Mechanics, Kyushu University)
Ocean biogeochemical model parameter uncertainties: Application of ensemble data assimilation to a one-dimensional model
Nabir Mamnun (Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research)
Improving Met Office predictions of Arctic sea ice through assimilation of CryoSat-2 and SMOS thickness data
Davi Mignac (Met Office)
Mechanism of Interannual Cross-equatorial Overturning Anomalies in the Pacific Ocean
Devanarayana Rao Mohan Rao (York University, Toronto)
A hybrid nonlinear-Kalman ensemble transform filter for data assimilation in systems with different degrees of nonlinearity
Lars Nerger (Alfred Wegener Institute)
Lessons learnt by applying an EnOI system to a gridded observational product
Peter Oke (CSIRO)
Ocean data assimilation for ICON-ESM for climate predictions
Holger Pohlmann (DWD)
Developing the NEMOVAR ocean data assimilation system towards Graphical Processing Unit based High Performance Computing systems
Martin Price (Met Office)
Parameter estimation for ocean biogeochemical component in a global model using Ensemble Kalman Filter: a twin experiment
Tarkeshwar Singh (Nansen Environmental and Remote Sensing Center and Bjerknes Centre for Climate Research)
Assimilation of multi-platform observations into two-way coupled physical-biogeochemical model on the North-West European Shelf
Jozef Skakala (Plymouth Marine Laboratory)
Data assimilation of ocean wind waves using Neural Networks
Joanna Staneva (Helmholtz Zentrum Geesthacht)
A Neural Network-Based Observation Operator for Coupled Ocean-Acoustic Variational Data Assimilation
Andrea Storto (CMRE, CNR)
Skills and biases of an 11-yr renalysis produced by the HYCOM+REMO ocean data assimilation system (RODAS) in the South Atlantic
Clemente Tanajura (Federal University of Bahia (UFBA))
Strongly coupled data assimilation with the coupled ocean-atmosphere model AWI-CM: comparison with the weakly coupled data assimilation
Qi Tang (Institute of Geographic Sciences and Natural Resources Research, CAS)
Biogeochemical reanalysis of the Arctic Ocean with joint state-parameter estimation
Tsuyoshi Wakamatsu (NERSC)
The Met Office operational global ocean forecasting system at 1/12th degree resolution
Jennifer Waters (Met Office)
Biases at the base of the mixed layer induced by 3DVar assimilation of sea surface temperature observations.
James While (Met Office)
Coupled reanalyses of NorCPM1 contributed to CMIP6 DCPP
Wang Yiguo (Nansen Environmental and Remote Sensing Center)
The data assimilation in the ocean forecast system based on FIO-COM
Xunqiang Yin (The First Institute of Oceanography, Ministry of Natural Resources)