Previous Seminars

Fresh updates from the Polar cruise to the North Pole

Speaker: 
Espen Storheim (Polar Acoustics and Oceanography)
Seminar Date: 
27. September 2019 - 10:15 - 10:45

Uncertainty of the Arctic Sea Surface Salinity: from evaluation to assimilation

Speaker: 
Jiping Xie (Ocean Modelling)
Seminar Date: 
10. September 2019 - 11:15 - 11:45

Monitoring the Arctic Sea Surface Salinity (SSS) from space is crucial to understand the global water cycle and the ocean dynamics is limited due to nonhomogeneous and sparse in situ data. Two gridded satellite SSS products have been derived from European Space Agency’s Soil Moisture and Ocean Salinity mission (SMOS). The uncertainties of these two SSS products in the Arctic are quantified against other two SSS products in the Copernicus Marine Environment Monitoring Services and other in situ datasets.

Physical and biogeochemical variability off Baja California (Mexico): insights from numerical NPZD ocean models

Speaker: 
David Rivas
Affiliation: 
CICESE
Seminar Date: 
30. August 2019 - 13:15 - 14:00

Physical-biogeochemical Nitrate-Phytoplankton-Zooplankton-Detritus (NPZD)
numerical models are used to study the variability of nutrients and
phytoplankton biomass in coastal waters off Baja California Peninsula, a
region of high socioeconomic importance located in the southern California
Current System. The focus of these analyses has been the effects of
interannual climatic anomalies. For example, the year 2006 was anomalously
warm and with low chlorophyll (Chl) levels, associated with warm phases of
El Niño-Southern Oscillation (ENSO) and the Pacific Decadal Oscillation

Classification of sea ice types on Sentinel-1 SAR data using convolutional neural networks

Speaker: 
Hugo Bolze
Affiliation: 
ENSG, France
Seminar Date: 
23. August 2019 - 13:00 - 13:45

In order to assure the security of navigation and offshore activities scientists have to predict with precision the type and the location of sea ices. Getting information about cold intensity and ocean-atmosphere dynamics of these polar regions are also motivations. The ways to describe sea ices are numerous but this article focuses only on type.

Lagrangian ocean analysis to study the physical mechanisms driving the processes occurring in the Greater Agulhas Current System

Speaker: 
Michael Hart-Davis
Seminar Date: 
13. August 2019 - 11:15 - 11:45

Lagrangian ocean analysis is a powerful way to study ocean processes from in-situ observations and numerical model simulations. As numerical modelling capabilities develop and physical mechanisms of the ocean are better understood, the importance of particle trajectory modelling continues to increase. Therefore, developing cross-disciplinary particle trajectory model applications for the Greater Agulhas System is highly relevant due to its potential contribution to scientific studies and operational applications.

Cloud Computing Needs for Earth Observation Data Analysis: EGI and the European Open Science Cloud

Speaker: 
Bjørn Backeberg
Affiliation: 
Björn Backeberg (1), Yin Chen (1), *Tiziana Ferrari (1), Pedro Gonçalves (4), Paolo Mazzetti (3), Anabela Oliveira (2), Diego Scardaci (1), Gergely Sipos (1) 1. EGI Foundation, 2. LNEC, 3. CNR, 4. Terradue
Seminar Date: 
27. June 2019 - 11:15 - 12:00

Over recent years, the vision of Open Science has emerged as a new paradigm of transparent, data-driven science capable of accelerating competitiveness and innovation. The embodiment of this vision in Europe is the European Open Science Cloud (EOSC), first proposed by the European Commission in April 2016 as part of the Communication on the ‘European Cloud Initiative’, one of the pillars of the Digital Single Market Strategy.

Data assimilation using adaptive, non-conservative, moving mesh models

Speaker: 
Ali Aydoğdu (Data Assimilation)
Seminar Date: 
25. June 2019 - 11:15 - 11:45

Numerical models solved on adaptive moving meshes have become increasingly prevalent in recent years. Motivating problems include the study of fluids in a Lagrangian frame and the presence of highly localized structures such as shock waves or interfaces. In the former case, Lagrangian solvers move the nodes of the mesh with the dynamical flow; in the latter, mesh resolution is increased in the proximity of the localized structure. Mesh adaptation can include remeshing, a procedure that adds or removes mesh nodes according to specific rules reflecting constraints in the numerical solver.

Explore dynamical information with Pseudo-orbit Data Assimilation

Speaker: 
HAILIANG DU
Affiliation: 
Durham University
Seminar Date: 
13. June 2019 - 11:00 - 12:00

Physical processes such as the weather are usually modeled using nonlinear dynamical systems. Traditional statistical approaches are found to be difficult to draw dynamical information from the nonlinear dynamics. This talk is focusing on exploring dynamical information with Pseduo-orbit data assimilation to address various problems encountered in analyzing and modeling nonlinear dynamical systems. The talk will start with solving an “impossible” challenge pointed out by Berliner (1991) when applying the Bayesian paradigm to state estimation in chaotic systems.

High-resolution assessments at NERSC – overview and current developments in ReSIS

Speaker: 
Tobias Wolf (Climate Dynamics and Prediction)
Seminar Date: 
21. May 2019 - 11:15 - 11:45

In the first part of this presentation I will give an overview over the high-resolution studies and capabilities, the Climate Prediction and Dynamics Group has been working with so far. This part will highlight results from projects during the last years. Among these are the successful studies for the Bergen harbour authority, the TRAKT-2018 project and the study on the mitigation of domestic-wood-heating related pollution.

Is it really getting younger? Sea ice type and age in model simulations and satellite remote sensing products

Speaker: 
Polona Itkin (Sea Ice Modelling)
Seminar Date: 
16. April 2019 - 11:15 - 11:45

Sea ice type and age are one of the basic indicators of Arctic sea ice state. For a sea ice model to simulate sea ice type or age faithfully, both sea ice dynamics and thermodynamics need to be represented well. In contrast to sea ice thickness, ice age and type have been able to be retrieved from satellite observations relatively reliably for more than a decade. In this study we are using neXtSIM – ‘next generation sea ice model’ that uses Maxwell-elasto-brittle rheology to simulate sea ice motion and a thermodynamical model that accounts for healing of damaged ice through freezing.